Regular Events
Society for Women in Computing
SWIC offers regular meetings for women in technology to develop professional skills and build their expertise.
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A bi-weekly opportunity for majors, and those interested in technology topics, to network and collaborate.
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Seminars and Colloquia
- Caiwen Ding, Co-Designing Algorithms and Hardware for Efficient Machine Learning (ML): Advancing the Democratization of ML - When: Friday, March 8th, from 2:00 PM to 3:00 PM Where: ENGR 045 Abstract: The rapid deployment of ML has witnessed various challenges such as prolonged computation and high memory footprint on systems. In this talk, we will present several ML acceleration frameworks through algorithm-hardware co-design on various computing platforms. The first part presents a […]
- Oana Ignat, Towards Language-Vision Models for Positive Societal Impact - When: Monday 2/19 from 1:00 to 2:00 PM Where: Tyler 055 Abstract: Solving complex real-world problems often requires AI models that can process information from multiple modalities, such as language and vision, which can align with the needs of people from diverse backgrounds. An effective AI model will not only learn how to interact with […]
- Kaleel Mahmood, On the Robustness of Vision Transformers to Adversarial Examples - When: Friday 2/16 from 10:00 to 11:00 AM Where: Ranger 202 Abstract: Machine learning has become ubiquitous, being deployed in a range for domains like self driving cars, medical imaging and face recognition. With this increased use of machine learning an important question arises, how secure are these systems? In this presentation we dive into […]
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News stories
- 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 […]
- 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, […]
- 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 […]
- 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 […]
- 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 […]
- 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 […]