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 […]
Continue reading "Kaleel Mahmood, On the Robustness of Vision Transformers to Adversarial Examples"Category: Seminars
Taslima Akter, Designing Privacy Enhancing Technology for Blind and Low-Vision (BLV) People
WHen: Tuesday 2/13 from 1:00 to 2:00 PM. Where: Quinn 214 Abstract: Advancements in computer vision and machine learning have empowered Blind and Low-Vision (BLV) individuals through camera-based assistive applications. These systems, capable of recognizing objects, identifying colors, and reading text, provide independence to BLV users. However, the reliance on camera-based assistive systems introduces privacy […]
Continue reading "Taslima Akter, Designing Privacy Enhancing Technology for Blind and Low-Vision (BLV) People"Andrew Gallant, Engineering a Fast Grep
When: Tuesday February 27, 4PM Where: Kirk Auditorium Abstract: Grep is a command line tool for searching the contents of files for a regular expression and printing lines that match. Tools like grep are commonly used to search plain text such as log files and code repositories in an ad hoc manner. As the size […]
Continue reading "Andrew Gallant, Engineering a Fast Grep"Gianluca Brero (Brown University), Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design
When: Friday, Feb 2nd, from 2:00 PM to 3:00 PM Where: ENGR 045 Abstract: We introduce a reinforcement learning framework for economic platform design where the interaction between the platform designer and the participants is modeled as a Stackelberg game. In this game, the designer (leader) sets up the rules for the platform, while the […]
Continue reading "Gianluca Brero (Brown University), Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design"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"Basheer Qolomany, “The Role of Artificial Intelligence and Machine Learning in Complex Systems”
When: Friday, April 28, 2:00 PM Where: CBLS 100 Who: Basheer Qolomany, University of Nebraska at Kearney The Role of Artificial Intelligence and Machine Learning in Complex Systems Abstract: Current methods for diagnosing PAD require specialized vascular laboratory tests and do not allow natural environment detection, monitoring, or management of chronic PAD disease. The research […]
Continue reading "Basheer Qolomany, “The Role of Artificial Intelligence and Machine Learning in Complex Systems”"Shaun Wallace, “Human-Centric Systems for Quality Data”
When: Wednesday, April 19, 10:00 am Where: Ranger 208 Abstract: Information is often interpreted through tools, recently AI tools which sit closer to the user than the source information. From ChatGPT to instant answers on Google search and voice services on Siri and Alexa, these tools are only as good as their sources, especially for […]
Continue reading "Shaun Wallace, “Human-Centric Systems for Quality Data”"