Summer 2021 Projects

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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.

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.

Third, include your project mentor, with a relevant link to their homepage or wiki page.

You will not have links to a poster or any resulting publications until later.


Template example:

Poster-2018-Coffee-Johnson-snapshot.png Intrusion Detection in Swarm Robotics:
Student Researcher: Lindsey Coffee-Johnson.
Mentor: Dr. Debbie Perouli.

Detecting Anomalous Behavior of Socially Assistive Robots in Geriatric Care Facilities
Lindsey Coffee-Johnson and Debbie Perouli
HRI '19: in Companion of the 2019 ACM/IEEE International Conference on Human-Robot Interaction, pages 582-583, Daegu, Korea, March 2019.

Assessing the Framing and Priorities of Data Science Programs:
Student Researcher: Diego A Pérez Morales.
Mentor: Dr. Michael Zimmer.
Predicting Risk of Opioid Use Disorder:
Student Researcher: Zachariah Farahany.
Mentor: Dr. Praveen Madiraju.
Preventing Postpartum Mental Health Problems:
Student Researcher: Sydney Shearer.
Mentor: Dr. Sabirat Rubya.
Capturing nutritional value at the point of consumption using accessible and inexpensive technologies:
Student Researcher: Andrew Noecker.
Mentors: Dr. Walter Bialkowski and Dr. Randall Gretebeck.
Association between crime, places, and neighborhood characteristics:
Student Researchers: Riley Keating and Michael Rodriguez
Mentor: Dr. Aleksandra Snowden.
Generating and Analyzing Collective Concept Maps:
Student Researcher: Riordan Brennan.
Mentor: Dr. Debbie Perouli.
Predict Likelihood of Completion for Future Lifestyle Medicine Program:
Student Researcher: Jennifer Sailor.
Mentors: Ms. Olga Kozlova & Dr. Praveen Madiraju
Revamping the current state of TABOT:
Student Researchers: Jack Forden and Alex Gebhard.
Mentor: Dennis Brylow
Prototyping SGX-MR: efficient access-pattern protection for SGX-based confidential data-intensive applications:
Student Researcher: Justin Boyce.
Mentors:Dr. Keke Chen
Measuring the Effectiveness of Programs to Expand Computer Science Education in the State of Wisconsin:
Student Researcher: Maverick Berner
Mentor: Dennis Brylow
Using Remote Sensing Data to Predict Sea Ice Thickness:
Student Researcher: Theresa Chen
Mentor: Satish Puri