Dr. Daphney-Stavroula Zois

Daphney-Stavroula Zois

Decision making under uncertainty, machine learning, Internet of things & e-health applications, detection & estimation theory, intelligent systems design, signal processing & communications, optimization, pervasive computing, sensor networks, stochastic control, embedded systems

The World Within Reach
Daphney-Stavroula Zois
Assistant Professor
 

College of Engineering and Applied Sciences
Department: Electrical and Computer Engineering

Address:
LI 088A
Phone:
518-442-5086
Personal Pages: http://www.albany.edu/~dz973423/

 

Introduction

Dr. Daphney-Stavroula Zois received her BEng degree (2007) in Computer Engineering and Informatics from the University of Patras, Greece, and M.S. (2010) and Ph.D. degrees (2014) in Electrical Engineering from the University of Southern California, Los Angeles, CA. From September 2014 through September 2016, she was a postdoctoral researcher in the Coordinated Science Laboratory at the University of Illinois, Urbana-Champaign. Since September 2016, she is an Assistant Professor in the Computer Engineering Department of the College of Engineering and Applied Sciences, University at Albany, State University of New York. Dr. Zois is a recipient of various fellowships and awards, including the Viterbi Dean’s fellowship, the Ming Hsieh Scholar award, the Greek Women’s Engineering Association award, the Panagiotis Triantafyllidis scholarship, the Myronis Graduate fellowship, and the Andreas Mentzelopoulos scholarship. 

Education

PhD, Ming Hsieh Department of Electrical Engineering, 2014
University of Southern California, Los Angeles, CA, USA 

MSc, Ming Hsieh Department of Electrical Engineering, 2010
University of Southern California, Los Angeles, CA, USA 

BEng, Department of Computer Engineering and Informatics, 2007
University of Patras, Patras, Greece

Research Interests

Dr. Zois’ research interests include decision making under uncertainty, machine learning, Internet of Things & e-health applications, detection & estimation theory, intelligent systems design, signal processing & communications, optimization, pervasive computing, sensor networks, stochastic control and embedded systems. 

Publications

Articles & Journals 

  1. D.-S. Zois, M. Levorato, U. Mitra,“Active Classification for POMDPs: a Kalman-like State Estimator”, IEEE Transactions on Signal Processing, vol. 62, issue 23, pp. 6209–6224, December 2014. 

  2. D.-S. Zois, M. Levorato, U. Mitra, “Energy–Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks,” IEEE Transactions on Signal Processing, vol. 61, issue 7, pp. 1581–1594, April 2013. 

  3. U. Mitra, A. Emken, S. Lee, M. Li, V. Rozgic, G. Thatte, H. Vathsangam, D.-S. Zois, M.Annavaram, S. Narayanan, M. Levorato, D. Spruijt-Metz, G. S. Sukhatme, “KNOW–ME: a Case Study in Wireless Body Area Sensor Network Design,” IEEE Communications Magazine,vol. 50, issue 5, pp. 116–125, May 2012.  

Conferences & Workshops 

  1. D.-S. Zois, U. Demiryurek, U. Mitra, “A POMDP approach for active collision detection via networked sensors,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 6-9, 2016. 

  2. D.-S. Zois, M. Raginsky, “Active Object Detection on Graphs via Locally Informative Trees,” IEEE International Workshop on Machine Learning (MLSP), Vietri sul Mare, Salerno, Italy,September 13-16, 2016. 

  3. P. Guan, M. Raginsky, R. Willett, D.-S. Zois, “Regret minimization algorithms for single–controller zero–sum stochastic games,” 55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, December 12-14, 2016. 

  4. D.-S. Zois, U. Mitra, “Controlled Sensing: A Myopic Fisher Information Sensor Selection Strategy,” Globecom, Austin, TX, December 8-12, 2014. 

  5. D.-S. Zois, U. Mitra, “A Weiss–Weinstein Lower Bound Based Sensing Strategy for Active State Tracking,” IEE International Symposium on Information Theory (ISIT), Honolulu, HI, June 29-July 4, 2014. 

  6. D.-S. Zois, U. Mitra, “On the Properties of Nonlinear POMDPs for Active State Tracking,”IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, December 3-5, 2013. 

  7. D.-S. Zois, U. Mitra, “A Unified Framework for Energy Efficient Physical Activity Tracking,”Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 3-6, 2013. 

  8. D.-S. Zois, M. Levorato, U. Mitra, “Non-linear smoothers for discrete–time, finite–state Markov chains,” IEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, July 7-12, 2013. 

  9. D.-S. Zois, M. Levorato, U. Mitra, “Kalman-like state tracking and control in POMDPs with applications to Body Sensing Networks,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. (USC EE Best Poster Award) 

  10. D.-S. Zois, M. Levorato, U. Mitra, “Heterogeneous Time–Resource Allocation in Wireless Body Area Networks for Green, Maximum Likelihood Activity Detection,” IEEE International Conference on Computer Communications (ICC), Ottawa, Canada, June 10-15, 2012. 

  11. D.-S. Zois, M. Levorato, U. Mitra, “A POMDP Framework for Heterogeneous Sensor Selection in Wireless Body Area Networks,” International Conference on Computer Communications (INFOCOM) Mini-conference, Orlando, FL, March 25-30, 2012.  

Chapters in Books 

  1. D.-S. Zois, S. Lee, M. Annavaram, U. Mitra, “Pervasive Computing in Medicine: From Electronic Health Records to Nanomedicine”, John Wiley & Sons, 2015. 

  2. D.-S. Zois, G. Roumeliotis, V. Kekatos, K. Berberidis, “Information Transmitting Systems,” Patras, Greece, April 2008.