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 […]

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, […]

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 […]

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 […]