Sequential Methods and Statistical Inference Lab

Research Funding

1. "Collaborative Research: ATD: Robust Quickest Threat Detection in Non-Stationary Multi-Stream Data", U.S. National Science Foundation (NSF) (PI),  Sept 2024 - Aug 2027.

2. "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. 

3. “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.

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

5. "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. 

6. "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. Patrick Lubenia. (Currently working on Ph.D. thesis)

Lab Alumni

1. Tim Brucks. (Ph.D. student Dec 2019-May 2021, Deceased). 

2. Dr. Yingze Hou. (Ph.D., May 2025), First chapter advised by Prof. Hoda Bidkhori, GMU. 

       Thesis: Robust Change-Point Detection for Anomalies and Effective Response for Pandemics

First job: Postdoc at the Tech. Univ. of Munich. 

3. Dr. Seyyedyousef Oleyaeimotlagh. (Ph.D., Dec 2025).

Thesis: Optimal Sequential Decision-Making for Statistically Periodic Processes with Applications to Bio-Signal Processing

4. Dr. Assma Alghamdi. (Ph.D. Aug 2026), co-advised by Prof. Jayant Rajgopal, Pitt IE

Thesis: Robust Methods for Detecting Changes in Correlation and Dependence in Multivariate Data

5. Dr. Wuxia (Melody) Chen. (Ph.D. Dec 2026, Defended Oct 2026) 

Thesis: Score-Based Quickest Change Detection for High-Dimensional, Multi-Stream, and Dependent Data

First Job: Research Manager, Ethikal (an AI startup), Austin, TX. 

External Mentoring/Advising (students I have closely advised on their research)

1. Suya Wu. (Ph.D., May 2023, Duke University). Primary advisor at Duke: Prof. Vahid Tarokh

2. Sean Moushegian (Ph.D., Aug 2026). Primary advisor at Duke: Prof. Vahid Tarokh