https://reu.cs.mu.edu/api.php?action=feedcontributions&user=DPerez&feedformat=atomREU@MU - User contributions [en]2024-03-29T12:21:58ZUser contributionsMediaWiki 1.23.13https://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-08-06T16:13:50Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_Revised_(Diego_Pèrez).jpg|200px|link=https://reu.cs.mu.edu/index.php/File:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_Revised_(Diego_Pèrez).jpg]]<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Predicting Risk of Opioid Use Disorder]]''': <br /> Student Researcher: [[User:ZFarahany|Zachariah Farahany]]. <br /> Mentor: [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Final-Poster-Submission-Andrew-Noecker.png|200px|link=https://reu.cs.mu.edu/images/thumb/0/03/Final-Poster-Submission-Andrew-Noecker.png/1600px-Final-Poster-Submission-Andrew-Noecker.png]]<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researchers: [[User:Rkeating|Riley Keating]] and [[User:MRodriguez|Michael Rodriguez]] <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster_jennifer_sailor.jpg|200px|link=https://reu.cs.mu.edu/images/7/7b/Poster_jennifer_sailor.jpg]]<br />
| '''[[Predict Likelihood of Completion for Future Lifestyle Medicine Program]]''': <br /> Student Researcher: [[User:JSailor|Jennifer Sailor]]. <br /> Mentors: [https://www.linkedin.com/in/olga-kozlova-ma-mba-41919419/ Ms. Olga Kozlova] & [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju]<br />
|-<br />
|}<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Revamping the current state of TABOT]]''': <br /> Student Researchers: [[User:JForden|Jack Forden]], [[User:Agebhard|Alex Gebhard]], and [[User:ANakvosaite | Agne Nakvosaite]]. <br /> Mentor: [[User:Brylow|Dennis Brylow]]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Prototyping SGX-MR: efficient access-pattern protection for SGX-based confidential data-intensive applications]]''': <br /> Student Researcher: [[User:JBoyce|Justin Boyce]]. <br /> Mentor: [https://www.marquette.edu/computer-science/directory/keke-chen.php Dr. Keke Chen]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Wisconsin Computer Science K-12 Education Landscape Report]]''': <br /> Student Researcher: [[User:MBerner|Maverick Berner]] <br /> Mentor: [[User:Brylow|Dennis Brylow]]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Using Remote Sensing Data to Predict Sea Ice Thickness]]''': <br /> Student Researcher: [[User:TChen|Theresa Chen]] <br /> Mentor: [https://www.cs.mu.edu/~satish/ Satish Puri]<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/File:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_Revised_(Diego_P%C3%A8rez).jpgFile:Assessing the Framing and Priorities of Data Science Programs Revised (Diego Pèrez).jpg2021-08-06T16:12:55Z<p>DPerez: Revised Poster</p>
<hr />
<div>Revised Poster</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-08-06T05:28:56Z<p>DPerez: /* Week 10 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
*Attended industry panel<br />
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it<br />
*Made a python script to have all of the data to process in one file <br />
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs<br />
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now <br />
*Prepared the files of the data to be ran on the supervised clustering algorithm<br />
<br />
===Week 8===<br />
*Ran some initial tests, using the data from the different parts of the documents, on the supervised algorithms<br />
*Met with Prof. Zimmer to discuss some results from the preprocessing and what we are going to do going towards the end of this REU<br />
*Was able to run the data of the different parts with both types of algorithms and get some results <br />
*Started writing down the results I got from my tests running the data for future reference <br />
*Started setting up the layout for the research poster<br />
*Went into a weekly meeting with the rest of the REU participants to see how everyone was doing with their work<br />
*Met with Prof.Zimmer to show him some of the code that I did to get some results and my initial thoughts for the poster<br />
<br />
===Week 9===<br />
*Went ahead and finished the research poster<br />
*Met with Prof.Zimmer to show him the poster and go over the results we got from the data<br />
*Started working on a template for the research paper <br />
*Did some research on on the SVC and KNeighbor algorithms in order to talk about them on the paper and poster<br />
*Met with the rest of the REU participants to clear up any lingering questions about the end of the REU<br />
*Finished the final formal presentation<br />
<br />
===Week 10===<br />
*Finished writing the research paper<br />
*Gave the formal presentation for the research<br />
*Participated in poster session and talked about my work with other students<br />
*Participated in the formal presentation of other students<br />
*Did some arrangements to prepare all of the last hand-ins for the REU</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-08-05T23:57:18Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_(Diego_Pèrez).jpg|200px|link=https://reu.cs.mu.edu/index.php/File:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_(Diego_Pèrez).jpg]]<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Predicting Risk of Opioid Use Disorder]]''': <br /> Student Researcher: [[User:ZFarahany|Zachariah Farahany]]. <br /> Mentor: [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Final-Poster-Submission-Andrew-Noecker.png|200px|link=https://reu.cs.mu.edu/images/thumb/0/03/Final-Poster-Submission-Andrew-Noecker.png/1600px-Final-Poster-Submission-Andrew-Noecker.png]]<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researchers: [[User:Rkeating|Riley Keating]] and [[User:MRodriguez|Michael Rodriguez]] <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Predict Likelihood of Completion for Future Lifestyle Medicine Program]]''': <br /> Student Researcher: [[User:JSailor|Jennifer Sailor]]. <br /> Mentors: [https://www.linkedin.com/in/olga-kozlova-ma-mba-41919419/ Ms. Olga Kozlova] & [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju]<br />
|-<br />
|}<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Revamping the current state of TABOT]]''': <br /> Student Researchers: [[User:JForden|Jack Forden]] and [[User:Agebhard|Alex Gebhard]]. <br /> Mentor: [[User:Brylow|Dennis Brylow]]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Prototyping SGX-MR: efficient access-pattern protection for SGX-based confidential data-intensive applications]]''': <br /> Student Researcher: [[User:JBoyce|Justin Boyce]]. <br /> Mentor: [https://www.marquette.edu/computer-science/directory/keke-chen.php Dr. Keke Chen]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Wisconsin Computer Science K-12 Education Landscape Report]]''': <br /> Student Researcher: [[User:MBerner|Maverick Berner]] <br /> Mentor: [[User:Brylow|Dennis Brylow]]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Using Remote Sensing Data to Predict Sea Ice Thickness]]''': <br /> Student Researcher: [[User:TChen|Theresa Chen]] <br /> Mentor: [https://www.cs.mu.edu/~satish/ Satish Puri]<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/File:Assessing_the_Framing_and_Priorities_of_Data_Science_Programs_(Diego_P%C3%A8rez).jpgFile:Assessing the Framing and Priorities of Data Science Programs (Diego Pèrez).jpg2021-08-05T23:54:43Z<p>DPerez: </p>
<hr />
<div></div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-08-02T16:31:47Z<p>DPerez: /* Week 9 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
*Attended industry panel<br />
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it<br />
*Made a python script to have all of the data to process in one file <br />
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs<br />
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now <br />
*Prepared the files of the data to be ran on the supervised clustering algorithm<br />
<br />
===Week 8===<br />
*Ran some initial tests, using the data from the different parts of the documents, on the supervised algorithms<br />
*Met with Prof. Zimmer to discuss some results from the preprocessing and what we are going to do going towards the end of this REU<br />
*Was able to run the data of the different parts with both types of algorithms and get some results <br />
*Started writing down the results I got from my tests running the data for future reference <br />
*Started setting up the layout for the research poster<br />
*Went into a weekly meeting with the rest of the REU participants to see how everyone was doing with their work<br />
*Met with Prof.Zimmer to show him some of the code that I did to get some results and my initial thoughts for the poster<br />
<br />
===Week 9===<br />
*Went ahead and finished the research poster<br />
*Met with Prof.Zimmer to show him the poster and go over the results we got from the data<br />
*Started working on a template for the research paper <br />
*Did some research on on the SVC and KNeighbor algorithms in order to talk about them on the paper and poster<br />
*Met with the rest of the REU participants to clear up any lingering questions about the end of the REU<br />
*Finished the final formal presentation<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-08-02T16:27:41Z<p>DPerez: /* Week 8 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
*Attended industry panel<br />
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it<br />
*Made a python script to have all of the data to process in one file <br />
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs<br />
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now <br />
*Prepared the files of the data to be ran on the supervised clustering algorithm<br />
<br />
===Week 8===<br />
*Ran some initial tests, using the data from the different parts of the documents, on the supervised algorithms<br />
*Met with Prof. Zimmer to discuss some results from the preprocessing and what we are going to do going towards the end of this REU<br />
*Was able to run the data of the different parts with both types of algorithms and get some results <br />
*Started writing down the results I got from my tests running the data for future reference <br />
*Started setting up the layout for the research poster<br />
*Went into a weekly meeting with the rest of the REU participants to see how everyone was doing with their work<br />
*Met with Prof.Zimmer to show him some of the code that I did to get some results and my initial thoughts for the poster<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-07-19T22:28:28Z<p>DPerez: /* Week 8 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
*Attended industry panel<br />
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it<br />
*Made a python script to have all of the data to process in one file <br />
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs<br />
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now <br />
*Prepared the files of the data to be ran on the supervised clustering algorithm<br />
<br />
===Week 8===<br />
*Ran some initial tests, using the data from the different parts of the documents, on the supervised algorithms<br />
*Met with Prof. Zimmer to discuss some results from the preprocessing and what we are going to do going towards the end of this REU<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-07-18T21:25:59Z<p>DPerez: /* Week 7 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
*Attended industry panel<br />
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it<br />
*Made a python script to have all of the data to process in one file <br />
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs<br />
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now <br />
*Prepared the files of the data to be ran on the supervised clustering algorithm<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-07-12T00:22:17Z<p>DPerez: /* Week 6 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
*Attended the research poster presentation<br />
*Received data representing the individual parts of each manually labeled document<br />
*Reviewed the data I received in order to work with it<br />
*Made a python script to process the 800+ docx documents and group them into a text file<br />
*Made a python script to only process the docx documents related to a certain section of the manually labeled data<br />
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms<br />
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-07-04T23:54:13Z<p>DPerez: /* Week 5 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
*Finished my mini presentation<br />
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research<br />
*Presented my mini presentation in front of the group <br />
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files<br />
*Did some more cleaning on the newly unified data, specifically for the removal of single characters and empty strings <br />
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors<br />
<br />
===Week 6===<br />
<br />
<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-28T15:15:09Z<p>DPerez: /* Week 4 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
*Attended profession meeting/presentation for the week<br />
*Prepared a sample data file to test supervised M.L algorithms<br />
*Managed to prepare a K Neighbors algorithm to run the sample data on.<br />
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.<br />
*Got preliminary results with these supervised algorithms using the sample data.<br />
*Kept preparing the mini presentation to show that I've done so far.<br />
<br />
===Week 5===<br />
<br />
<br />
<br />
===Week 6===<br />
<br />
<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-21T01:05:45Z<p>DPerez: /* Week 3 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
*Commented and organized most of the code I've made up until now to make it look presentable.<br />
*Met with past students who have worked on my research before and interchanged ideas. <br />
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.<br />
*Added a feature to lemmatize the text of the file being fed to the algorithm. <br />
*Made some minor changes to the preprocessing of the text as a whole.<br />
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.<br />
*Started looking for supervised algorithms we can use to compare to the supervised one we have. <br />
*Started preparing a research presentation of what I've done so far.<br />
<br />
===Week 4===<br />
<br />
<br />
<br />
===Week 5===<br />
<br />
<br />
<br />
===Week 6===<br />
<br />
<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-15T00:08:35Z<p>DPerez: /* Week 3 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
*Finished the RCR requirements.<br />
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.<br />
<br />
===Week 4===<br />
<br />
<br />
<br />
===Week 5===<br />
<br />
<br />
<br />
===Week 6===<br />
<br />
<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-15T00:07:28Z<p>DPerez: /* Week 2 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
*Used the shared txt data to start preprocessing the data in python.<br />
*Managed to create three functions in python to preprocess some sample text from the shared data.<br />
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.<br />
<br />
===Week 3===<br />
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===Week 4===<br />
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===Week 5===<br />
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===Week 6===<br />
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===Week 7===<br />
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===Week 8===<br />
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===Week 9===<br />
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===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-08T22:44:54Z<p>DPerez: /* Week 2 */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
*Attended the professional development meetings for the week<br />
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.<br />
*Established recurring weekly meetings with Prof.Zimmer.<br />
*Shared research data and other material through shared folder.<br />
<br />
===Week 3===<br />
<br />
<br />
<br />
===Week 4===<br />
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===Week 5===<br />
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===Week 6===<br />
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===Week 7===<br />
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===Week 8===<br />
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===Week 9===<br />
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===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-07T01:07:03Z<p>DPerez: /* Weekly Log */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
===Week 2===<br />
<br />
<br />
<br />
===Week 3===<br />
<br />
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===Week 4===<br />
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===Week 5===<br />
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===Week 6===<br />
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===Week 7===<br />
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===Week 8===<br />
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===Week 9===<br />
<br />
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<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-07T01:06:48Z<p>DPerez: /* Weekly Log */</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about<br />
* Set personal goals and milestones for the summer<br />
<br />
<br />
===Week 2===<br />
<br />
<br />
<br />
===Week 3===<br />
<br />
<br />
<br />
===Week 4===<br />
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<br />
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===Week 5===<br />
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===Week 6===<br />
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===Week 7===<br />
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===Week 8===<br />
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<br />
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===Week 9===<br />
<br />
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<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-03T16:20:45Z<p>DPerez: </p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Attended data science workshop<br />
* Attended good research practices talk<br />
* Started looking for research papers having to do with clustering<br />
*Started learning about what is clustering and what type of methods exist<br />
* Started looking up information about K-Mean Clustering<br />
* Set goals and milestones for the summer<br />
* Read related literature on the topic of trust as it relates to human-robot interaction<br />
<br />
===Week 2===<br />
<br />
<br />
<br />
===Week 3===<br />
<br />
<br />
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===Week 4===<br />
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===Week 5===<br />
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===Week 6===<br />
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===Week 7===<br />
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===Week 8===<br />
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===Week 9===<br />
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<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-03T16:17:02Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researcher: [[User:Rkeating|Riley Keating]]. <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Predict Likelihood of Completion for Future Lifestyle Medicine Program]]''': <br /> Student Researcher: [[User:JSailor|Jennifer Sailor]]. <br /> Mentors: [https://www.linkedin.com/in/olga-kozlova-ma-mba-41919419/ Ms. Olga Kozlova] & [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju]<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-03T16:15:54Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[User:DPerez|Diego Perez]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researcher: [[User:Rkeating|Riley Keating]]. <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Predict Likelihood of Completion for Future Lifestyle Medicine Program]]''': <br /> Student Researcher: [[User:JSailor|Jennifer Sailor]]. <br /> Mentors: [https://www.linkedin.com/in/olga-kozlova-ma-mba-41919419/ Ms. Olga Kozlova] & [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju]<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-03T16:15:32Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[User:DPerez|Diego Perez]]. <br /> Mentor: [https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researcher: [[User:Rkeating|Riley Keating]]. <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Predict Likelihood of Completion for Future Lifestyle Medicine Program]]''': <br /> Student Researcher: [[User:JSailor|Jennifer Sailor]]. <br /> Mentors: [https://www.linkedin.com/in/olga-kozlova-ma-mba-41919419/ Ms. Olga Kozlova] & [https://www.mscsnet.mu.edu/~praveen/ Dr. Praveen Madiraju]<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-03T16:12:42Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [ https://michaelzimmer.org Dr. Michael Zimmer].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researcher: [[User:Rkeating|Riley Keating]]. <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-03T16:11:40Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: [ https://michaelzimmer.org Dr. Michael Zimmer.]<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[User:SShearer|Sydney Shearer]]. <br /> Mentor: [https://sabiratrubya.com/ Dr. Sabirat Rubya].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]''': <br /> Student Researcher: [[User:ANoecker|Andrew Noecker]]. <br /> Mentors: [https://www.marquette.edu/computer-science/directory/walter-bialkowski.php Dr. Walter Bialkowski] and [https://www.marquette.edu/nursing/directory/randall-gretebeck.php Dr. Randall Gretebeck].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Association between crime, places, and neighborhood characteristics]]''': <br /> Student Researcher: [[User:Rkeating|Riley Keating]]. <br /> Mentor: [https://www.marquette.edu/social-cultural-sciences/directory/aleksandra-snowden.php Dr. Aleksandra Snowden].<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Generating and Analyzing Collective Concept Maps]]''': <br /> Student Researcher: [[User:RBrennan|Riordan Brennan]]. <br /> Mentor: [https://cs.mu.edu/~debbie/ Dr. Debbie Perouli].<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-02T16:37:46Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: Dr. Michael Zimmer.<br />
Mentor Wiki Page: [https://michaelzimmer.org]<br /><br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[Sydney Shearer]]. <br /> Mentor: Dr. Sabirat Rubya.<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_P%C3%A9rez_MoralesDiego A Pérez Morales2021-06-02T16:35:54Z<p>DPerez: Created page with " ==Weekly Log== ===Week 1=== * Attended orientation * Went on library tour and learned about research resources * Met with mentor to discuss project * Learned about wiki and..."</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Went on library tour and learned about research resources<br />
* Met with mentor to discuss project<br />
* Learned about wiki and updated it<br />
* Read paper on related project<br />
* Set goals and milestones for the summer<br />
* Read related literature on the topic of trust as it relates to human-robot interaction<br />
<br />
===Week 2===<br />
<br />
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<br />
===Week 3===<br />
<br />
<br />
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===Week 4===<br />
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===Week 5===<br />
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<br />
===Week 6===<br />
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<br />
<br />
===Week 7===<br />
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<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-02T16:33:07Z<p>DPerez: </p>
<hr />
<div>To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.<br />
<br />
<br />
Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A Pérez Morales]]. <br /> Mentor: Dr. Michael Zimmer.<br />
[https://reu.cs.mu.edu/index.php/Assessing_the_Framing_and_Priorities_of_Data_Science_Programs]<br /><br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| '''[[Preventing Postpartum Mental Health Problems]]''': <br /> Student Researcher: [[Sydney Shearer]]. <br /> Mentor: Dr. Sabirat Rubya.<br />
|-<br />
|}</div>DPerezhttps://reu.cs.mu.edu/index.php/Diego_A_Perez_MoralesDiego A Perez Morales2021-06-02T16:32:34Z<p>DPerez: Created page with " ==Weekly Log== ===Week 1=== * Attended orientation * Went on library tour and learned about research resources * Met with mentor to discuss project * Learned about wiki and..."</p>
<hr />
<div><br />
==Weekly Log==<br />
===Week 1===<br />
<br />
* Attended orientation<br />
* Went on library tour and learned about research resources<br />
* Met with mentor to discuss project<br />
* Learned about wiki and updated it<br />
* Read paper on related project<br />
* Set goals and milestones for the summer<br />
* Read related literature on the topic of trust as it relates to human-robot interaction<br />
<br />
===Week 2===<br />
<br />
<br />
<br />
===Week 3===<br />
<br />
<br />
<br />
===Week 4===<br />
<br />
<br />
<br />
===Week 5===<br />
<br />
<br />
<br />
===Week 6===<br />
<br />
<br />
<br />
===Week 7===<br />
<br />
<br />
<br />
===Week 8===<br />
<br />
<br />
<br />
===Week 9===<br />
<br />
<br />
<br />
===Week 10===</div>DPerezhttps://reu.cs.mu.edu/index.php/Summer_2021_ProjectsSummer 2021 Projects2021-06-02T15:15:33Z<p>DPerez: </p>
<hr />
<div>Template example:<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Intrusion Detection in Swarm Robotics]]''': <br /> Student Researcher: [[Lindsey Coffee-Johnson]]. <br /> Mentor: Dr. Debbie Perouli.<br />
[https://doi.org/10.1109/HRI.2019.8673263 Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities]<br /><br />
[[Lindsey Coffee-Johnson]] and Debbie Perouli<br /><br />
[https://humanrobotinteraction.org/2019/ HRI '19]: in ''[https://doi.org/10.1109/HRI.2019.8673263 Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction]'', pages 582-583, Daegu, Korea, March 2019.<br />
|-<br />
|}<br />
<br />
{| cellpadding="10" cellspacing="10"<br />
| [[Image:Poster-2018-Coffee-Johnson-snapshot.png|200px|link=http://www.mscs.mu.edu/~brylow/reu/2018/Posters/Poster-2018-Coffee-Johnson.pdf]]<br />
| '''[[Assessing the Framing and Priorities of Data Science Programs]]''': <br /> Student Researcher: [[Diego A. Pérez Morales]]. <br /> Mentor: Dr. Michael Zimmer.<br />
[https://reu.cs.mu.edu/index.php/Assessing_the_Framing_and_Priorities_of_Data_Science_Programs]<br /><br />
|-<br />
|}<br />
<br />
<br />
To start with this first week, create a link to your initial project name below. That link should go to a page with an abstract (brief overview) of your project. It is not unusual for these project abstracts to evolve over the course of the summer, so these are not set in stone.<br />
<br />
Second, create a link to your own user page. This page will serve as the central log for how you are spending your time each week.<br />
<br />
Third, include your project mentor, with a relevant link to their homepage or wiki page.<br />
<br />
You will not have links to a poster or any resulting publications until later.</div>DPerez