Short Bio
I am an Assistant Professor in the Electrical and Computer Engineering Department at the
University at Albany, State
University of New York (SUNY). Before that, I was a Postdoctoral Research Associate with the Coordinated Science Laboratory (CSL)
at the University of Illinois, Urbana-Champaign (UIUC). I received my Ph.D. and
M.Sc. degrees in electrical engineering in 2014 and 2010 respectively from the University of Southern California (USC) and my
undergraduate degree in computer engineering & informatics from the University of Patras in 2007.
My research interests include decision making under uncertainty, machine
learning, detection & estimation theory, optimization, intelligent systems design, and signal processing.
Link to Curriculum vitae
Link to Google Scholar
Scholarships, Fellowships & Awards
-
Clark School of Engineering Distinguished Graduate Fellowship,
University of Maryland, College Park, 2008 (Declined).
Funding
-
NIH National Center for Adaptive Neurotechnologies (subcontract), 01/18/2021-06/30/2021, $51,105.00.
-
SUNY Faculty Research Award A Context-Aware Human State Modeling and Monitoring, 2018-2020, $9,936.40.
Talks
-
AI for Social Good: Achieving Societal Outcomes through Interpretable Machine Learning,
Inaugural Lightning Talks on Artificial Intelligence series, University at Albany, SUNY, 7 April 2020.
-
Online Feature Selection for Real-Time Machine Learning,
Department of Electrical and Computer Engineering, Binghamton University, SUNY, 24 April 2019.
-
Spatiotemporal Quickest Change Detection for Traffic Accident Nowcasting,
Data Science Seminar, Department of Mathematical Sciences, Binghamton University, SUNY, 23 April 2019.
-
Guess who: active state tracking in the IoT era,
University of North Texas (7 March 2016), University of Southern California (28 March 2016),
University of Massachusetts, Boston (1 April 2016), University at Albany, SYNY (12 April 2016),
University of Virginia (18 April 2016).
-
Active state tracking in heterogeneous sensor networks via controlled sensing,
Cognitive and Algorithmic Decision-Making Seminar, University of Illinois, Urbana-Champaign, 30 April 2014.
-
Active state tracking in heterogeneous sensor networks,
University of British Columbia, Vancouver, Canada, 17 April 2014.
-
Active state tracking in heterogeneous sensor networks via controlled sensing,
USC EE CommNetS Seminar, Los Angeles, CA, 19 February 2014.
-
A Unified Framework for Energy Efficient Physical Activity Tracking,
Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 4 November 2013.
-
Non-linear smoothers for discrete-time, finite-state Markov chains,
ISIT, Istanbul, Turkey, 11 July 2013.
-
Heterogeneous Time-Resource Allocation in Wireless Body Area Networks for Green, Maximum Likelihood Activity Detection,
ICC, Ottawa, Canada, 12 June 2012.
-
A POMDP Framework for Heterogeneous Sensor Selection in Wireless Body Area Networks,
INFOCOM, Orland, FL, 26 March 2012.
-
POMDP Framework for Optimal Sensor Selection and Activity Detection in Wireless Body Area Networks,
IWSM, Stanford, CA, 11 June 2011.
|