Sequential Methods and Statistical Inference Lab

Research Funding

1. "Collaborative Research:CIF:Small: Fisher-Inspired Approach to Quickest Change Detection for Score-Based Models", U.S. National Science Foundation (NSF) (PI),  May 2024 - April 2027. 

2. “Distributed Learning and Control for Multi-Domain, Multi-Modal, and Non-Stationary Data," U.S. Army Research Lab. (ARL) (Sole PI),  10/2021-10/2024.

3. "Real-Time Anomaly Detection Using Multi-Modal Data", U.S. Army Research Lab. (ARL) (Sole PI), September 13, 2018 -- September 12, 2021. 

4. "CIS: Collaborative Research: Optimal Sensor Selection and Robust Traffic Detection and Estimation in a World of Connected Vehicles", U.S. National Science Foundation (NSF) (co-PI), August 1, 2019, 36 Months. 

5. "EAGER: Exploring Artificial Intelligence Techniques for Energy-Efficient Arrhythmia Detection and Identification in Connected Implantable Cardiac Devices”, U.S. National Science Foundation (NSF) (co-PI), Oct 2020,  12 months. 

Current Ph.D./M.S. Students

1. Tim Brucks. (Ph.D.)

2. Seyyedyousef Oleyaeimotlagh. (Currently working on Ph.D. thesis)

3. Wuxia (Melody) Chen. (Currently working on Ph.D. thesis)

4. Yingze Hou. (Currently working on Ph.D. thesis), Jointly advised with Hoda Bidkhori, GMU

5. Assma Alghamdi. Currently working on Ph.D. thesis), Jointly advised with Jayant Rajgopal, Pitt IE

6. Kriza Baby. Currently working on Ph.D. thesis), Jointly advised at UTSA with Eugene John