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Welcome to the Marquette University Data Science REU Wiki
Summer Research Experience for Undergraduates
Data Science Across the Disciplines
It is now well established that there is a critical need for data science researchers who can think creatively to solve problems in interdisciplinary fields such as healthcare, social science, and exercise science. Further, there exists scarcity of workforce and opportunities to train the next generation of researchers to tackle the problems in data science. To address the scarcity, this Data Science Across Disciplines Research Experiences for Undergraduates Site (DSAD-REU) will immerse undergraduate students in an interdisciplinary research-intensive training and mentoring program.
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At the same time, ever smaller computing platforms have inserted
computation into mobile, embedded, and ubiquitous realms of human
experience that would have been unthinkable only a few years ago.
Energy consumption of both massive computing clusters and
battery-operated appliances is of great concern.
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Our mentor research areas lie in all of these areas, as well as in how people learn to work in these fields, and how we prepare the next generation of students to explore computational sciences and mathematics.
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Application Process
Click here to learn about the Application Process.
Projects
Research Areas
Applied Mathematical Modeling:
- test. MentorDr.MU
- Using Gaussian Stochastic Processes (GaSP) for Hazard Mapping. Mentor Dr. Elaine Spiller
- Risk Modeling for Pyroclastic Volcano Flows. Mentor Dr. Elaine Spiller
- Data Assimilation For Fluid Dynamic Models. Mentor Dr. Elaine Spiller
- The Role of Leptin in Fat, Inflammation and the Immune System. Mentor: Dr. Stephen Merrill
- Characteristics of the (i,j)-Step Competition Graphs of Real Food Webs. Mentor Dr. Kim Factor
Bioinformatics and Computational Biology
- Discovering Significant Pathways of Gene Regulation. Mentor Dr. Serdar Bozdag
- Inferring Cancer-Specific MicroRNA-gene Networks. Mentor Dr. Serdar Bozdag
- An Integrated Framework for Identifying Context-Specific Gene-Drug Interactions. Mentor Dr. Serdar Bozdag
- Reverse Engineering Gene Regulatory Networks by Integrating Multiple Types of High-Dimensional Biological Datasets. Mentor Dr. Serdar Bozdag
- SUPREME: A Cancer Subtype Prediction Methodology by Integrating High-Dimensional Biological Datasets. Mentor Dr. Serdar Bozdag
High Performance Computing and Computational Science:
- Deep Learning and Energy Forecasting. Mentors: GasDay Laboratory's Dr. Richard Povinelli, Dr. George Corliss, Dr. Ron Brown, Tom Quinn
- Accelerating Geo-Spatial Computations Using High Performance Computing. Mentor Dr. Satish Puri
Embedded, Mobile, and Ubiquitous Systems:
- Embedded Xinu Operating System on Raspberry Pi. Mentor Dr. Dennis Brylow
- Self-Contained Solar Energy Experiment Kits. Mentors Dr. Dennis Brylow and Dr. Lisa Bosman.
- Personalizing Places of Interest Using Social Media Analysis. Mentor Dr. Praveen Madiraju
- Complex Activity Recognition. Mentor Dr. Iqbal Ahamed
Security:
- Intrusion Detection in Swarm Robotics. Mentor Dr. Debbie Perouli
- Cyber Security Vulnerabilities in Avionics Networking. Mentor Dr. Debbie Perouli
- Networking in Electronic Financial Markets. Mentor Dr. Debbie Perouli
Data Science:
- Studying Crisis Events on Social Media for non-WEIRD people. Mentor Dr. Shion Guha
- Deconstructing Spatial Clustering Algorithms To Explore Biases in Crime Analysis. Mentor Dr. Shion Guha
- Using Bayesian Networks in Adaptive Online Skill Training. Mentor Dr. Tom Kaczmarek
- Understanding Unanticipated, Social Consequences of Popular Algorithms. Mentor Dr. Shion Guha
Mathematics and Computer Science Education:
- Self-Contained Solar Energy Experiment Kits. Mentors Dr. Dennis Brylow and Dr. Lisa Bosman.
Projects from Previous Years
All inquiries may be routed to the site coordinators, Dr. Praveen Madiraju or Dr. Dennis Brylow.
