REU Sites
REU Sites: Computer and Information Science and Engineering
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Site Information | Site Location | Contact Information | Additional Information |
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Texas State University REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected Health Electrical & Computer Engineering Program |
San Marcos, Texas |
Primary: Damian Valles (512) 245-5611 dvalles@txstate.edu Secondary: Ting Liu (512) 245-8259 tingliu@txstate.edu |
Research Topics/Keywords: Emotion recognition and postural control ML, smart city firefighting, AR/VR for hand washing and movement assessment, cyber tools for multiple sclerosis, children with ASD REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected HealthAbstract of Award Cofunded: Computer and Information Science and Engineering |
Texas State University REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected Health Ingram School of Engineering |
San Marcos, Texas |
Primary: Damian Valles (512) 245-5611 d_v173@txstate.edu Secondary: Ting Liu (210) 784-1414 ting.liu@tamusa.edu |
Research Topics/Keywords: machine learning, analytics, augmented reality, connected health REU Site: Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected HealthAbstract of Award |
Old Dominion University REU Site: Research Experiences for Undergraduates in Disinformation Detection and Analytics Computer Science |
Norfolk, Virginia |
Primary: Sampath Jayarathna (757) 683-7787 sampath@cs.odu.edu Secondary: Jian Wu(reu@cs.odu.edu (757) 683-7753 reu@cs.odu.edu |
Research Topics/Keywords: Disinformation detection, data science and analytics, information retrieval,
applied machine learning, eye tracking, web archiving, social media REU Site: Research Experiences for Undergraduates in Disinformation Detection and AnalyticsAbstract of Award |
Washington State University Vancouver Advancing Data-Driven Deep Coupling of Computational Simulations and Experiments School of Engineering and Computer Science |
Vancouver, Washington |
Primary: Xuechen Zhang (360) 546-9631 xuechen.zhang@wsu.edu Secondary: Xiaokun Yang (281) 283-3812 yangxia@uhcl.edu |
Research Topics/Keywords: data-intensive scientific workflows, machine learning, high-performance computing, computational fluid dynamics, ASCI/FPGA design, numerical simulations Advancing Data-Driven Deep Coupling of Computational Simulations and ExperimentsAbstract of Award |
Washington State University REU Site: Multidisciplinary Undergraduate Research Training in Wearable Computing Electrical Engineering and Computer Science |
Pullman, Washington |
Primary: Hassan Ghasemzadeh (509) 335-6138 hassan.ghasemzadeh@wsu.edu Secondary: Ramesh Sah ramesh.sah@wsu.edu |
Research Topics/Keywords: Wearable computing, mobile health, digital health, machine learning REU Site: Multidisciplinary Undergraduate Research Training in Wearable ComputingAbstract of Award |
West Virginia University REU Site: Undergraduate Robotics Research for Rural Appalachia Mechanical, Materials and Aerospace Engineering |
Morgantown, West Virginia |
Primary: Jason Gross (304) 293-3770 Jason.gross@mail.wvu.edu Secondary: Guilherme Pereira (304) 293-3264 guilherme.pereira@mail.wvu.edu |
Research Topics/Keywords: robotics, motion planning, localization, coordination, autonomy, and locomotion for challenging field applications. enabling the use of mobile robotics in rural environments REU Site: Undergraduate Robotics Research for Rural AppalachiaAbstract of Award |
Marquette University Data Science Across Disciplines Math, Statistics, and Computer Science Department |
Milwaukee, Wisconsin |
Primary: Praveen Madiraju (414) 288-6340 praveen.madiraju@marquette.edu Secondary: Dennis Brylow (414) 288-6342 dennis.brylow@marquette.edu |
Research Topics/Keywords: Data Science, Machine Learning, Health Informatics, Exercise Analytics, Spatial Analytics, Data Science Ethics Data Science Across DisciplinesAbstract of Award |
University of Wisconsin-Eau Claire REU Site: Advancing High-Performance Computing Opportunities in Undergraduate Research at UW-Eau Claire to Meet Challenges of Multidisciplinary Computational Science Department of Computer Science |
Eau Claire, Wisconsin |
Primary: Rahul Gomes (715) 836-3395 gomesr@uwec.edu Secondary: Sudeep Bhattacharyay (715) 836-2278 bhattas@uwec.edu |
Research Topics/Keywords: High performance computing, machine learning, computer vision, quantum chemical simulations, protein dynamics, high throughput drug screening, GIS, computational astrophysics, spectroscopic imaging REU Site: Advancing High-Performance Computing Opportunities in Undergraduate Research at UW-Eau Claire to Meet Challenges of Multidisciplinary Computational ScienceAbstract of Award Cofunded: Computer and Information Science and Engineering |
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