Assistant Professor Sarah Brown has been selected as the recipient of the 2025 Graduate Mentoring Excellence Award presented to a faculty member in the College of Arts and Sciences! Each year, graduate students are invited to nominate members of the graduate faculty who are outstanding mentors and major professors. Students are asked to consider those […]
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Women in AI Workshop
When: Wednesday, April 16, 4:30-6:00 pm Where: Ballentine 115 Our Computer Science IGT Scholars are presenting a Women in AI Workshop that is open to all who are interested. The workshop will include a panel of women who have worked in the field of Artificial Intelligence in a variety of capacities: Panel: Dawn Fitzgerald – […]
Continue reading "Women in AI Workshop"Indrani Mandahl honored as Rhode Island Monthly Tech10 recipient
Congratulations to Associate Teaching Professor Indrani Mandahl as one of two members of the URI community recognized among Rhode Island Monthly’s 2024 Tech10 and Next Tech Generation Award recipients for their exceptional contributions to technology and education.
Continue reading "Indrani Mandahl honored as Rhode Island Monthly Tech10 recipient"Two Computer Science students honored at URI Black Scholar awards
Computer science students Amoy Scott and Warith Balogun were honored Monday at the URI Black Scholar awards. Scott received the Sojourner Truth Award for Scholarly Persistence and Dedication, presented to a senior in recognition of success despite dire financial, physical and/or personal problems that would ordinarily impede progress, and Balogun received the Earl N. Smith, […]
Continue reading "Two Computer Science students honored at URI Black Scholar awards"Kelum Gajamannage, Low-rank data imputation using Hadamard deep autoencoders, with applications to fragmented trajectory reconstruction of collective motion
When: Friday, October 13 at 4:00 pm. Where: Fascitelli 040 Abstract: Data imputation is an essential preprocessing step in statistical learning that is to be performed before any technical analysis is conducted on partially observed data. Data originating from natural phenomena is low-rank due to diverse natural dependencies that a low-rank technique should primarily emphasize […]
Continue reading "Kelum Gajamannage, Low-rank data imputation using Hadamard deep autoencoders, with applications to fragmented trajectory reconstruction of collective motion"Antonios Argyriou, Passive Wireless Sensing: Implications on Privacy and Counter-Measures
When: Monday, October 30 at 1:00 pm. Where: Quinn 211. Who: Dr. Antonios Argyriou, Associate Professor, Department of Electrical and Computer Engineering, University of Thessaly, Greece. Abstract: Emitters of wireless signals are all around us 24/7. These wireless signals contain digital information that may be the target of different types of cyber security attacks. However, […]
Continue reading "Antonios Argyriou, Passive Wireless Sensing: Implications on Privacy and Counter-Measures"Ming-Hui Chen, A New Statistical Monitoring Approach Based on Linear Mixed-Effects Models: Application to Energy Usage Management on a Large University Campus
When: Friday, October 27th, from 4:00 PM to 5:00 PM Where: ENGR 040 Who: Professor Ming-Hui Chen, Department of Statistics, University of Connecticut Abstract: In this paper, we introduce a novel application of the linear mixed-effects model (LMM) repurposed for statistical monitoring. We develop an efficient EM algorithm to handle rapid estimation, especially in scenarios […]
Continue reading "Ming-Hui Chen, A New Statistical Monitoring Approach Based on Linear Mixed-Effects Models: Application to Energy Usage Management on a Large University Campus"ML Tlachac, Digital Mental Health Screening with Text Logs
When: Friday, September 29th, from 4:00 PM to 5:00 PM Where: ENGR 040 Who: ML Tlachac, Assistant Professor of Data Science at Bryant University Abstract: In this talk, ML Tlachac will provide an overview of digital mental health screening research with a focus on digital phenotyping data. The presentation will include insights into research involving […]
Continue reading "ML Tlachac, Digital Mental Health Screening with Text Logs"Lily Sisouvong, “Pair Programming with Random Partners”
CSC Thesis Defense When: Monday, July 31, 4:00 pm Tyler Hall Room 052 Pair programming is a technique within the computer science space in which two programmers are paired on one computer to solve a related programming task. This technique is often practiced in both the industry and the academic setting, as it has a […]
Continue reading "Lily Sisouvong, “Pair Programming with Random Partners”"New England Computer Science Teachers Association Conference
The New England chapter of the Computer Science Teachers Association (CSTA) is coming to UConn at Storrs on October 20, 2023. Educators of all grade levels, including post-secondary, education leaders, library media specialists, administrators, coaches, school counselors, and researchers are welcome to join in the fun! We will focus on BUILDING CS PATHWAYS. Keynote speakers […]
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