Dr. Daphney-Stavroula Zois

Daphney-Stavroula Zois

Decision making under uncertainty, machine learning, detection & estimation theory, intelligent systems design, signal processing

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
View: Personal page

 

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, detection & estimation theory, intelligent systems design, and signal processing.

Publications

Articles & Journals 

  1. O. R. Shishvan, D.-S. Zois, T. Soyata, "Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey," IEEE Access, vol. 6, August 2018.
  2. D.-S. Zois, U. Mitra, "Active State Tracking with Sensing Costs: Analysis of Two-States and Methods for n-States," IEEE Transactions on Signal Processing, vol. 65, no. 11, pp. 2828-2843, June 2017.
  3. 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.
  4. 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.

  5. 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.  Y. Liyanage, D.-S. Zois, C. Chelmis, M. Yao, "Automating the Classification of Urban Issue Reports: An Optimal Stopping Approach," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019.
  2. Y. Liyanage, D.-S. Zois, C. Chelmis, "Robust Freeway Accident Detection: A Two-Stage Approach," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019.
  3. M. Yao, C. Chelmis, D.-S. Zois, "Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media," The Web Conference (WebConf), San Francisco, CA, May 13-17, 2019.
  4. W. Lee, C. Yong, C. Chelmis, D.-S. Zois, "Civic Participation through Online Platforms: Implications for Neighborhood Advocacy," 49th Annual Conference on Urban Affairs Association (UAA), Los Angeles, CA, April 27-29, 2019.
  5. Y. Liyanage, C. Chelmis, D.-S. Zois, "A Hierarchical Framework for Timely Freeway Accident Detection and Localization," IEEE International Conference on Big Data (BigData), Seattle, WA, December 10-13, 2018.
  6. Y. Liyanage, D.-S. Zois, C. Chelmis, "Quickest Freeway Accident Detection under Unknown Post-Accident Conditions," 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, November 26-29, 2018.
  7. Y. Liyanage, M. Yao, C. Yong, D.-S. Zois, C. Chelmis, "What matters the most? Optimal Quick Classification of Urban Issue Reports by Importance," 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, November 26-29, 2018.
  8. Y. Liyanage, D.-S. Zois, C. Chelmis, "Optimal Sequential Detection of Freeway Accidents," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, October 28-31, 2018.
  9. D.-S. Zois, C. Yong, C. Chelmis, A. Kapodistria, W. Lee, "Improving Monitoring of Participatory Civil Issue Requests through Optimal Online Classification," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, October 28-31, 2018.
  10. M. Yao, C. Chelmis, D.-S. Zois, "Cyberbullying Detection on Instagram with Optimal Online Feature Selection," in Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018.
  11. D.-S. Zois, A. Kapodistria, M. Yao, C. Chelmis, "Optimal Online Cyberbullying Detection," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 15-20, 2018.
  12. C. Chelmis, D.-S. Zois, M. Yao, "Mining Patterns of Cyberbullying on Twitter," in Proceedings of the IEEE ICDM Workshop on Data Mining in Networks (DaMNET), New Orleans, LA, November 18, 2017.
  13. M. Zheleva, P. Bogdanov, D.-S. Zois, W. Xiong, R. Chandra, M. Kimball, "Smallholder Agriculture in the Information Age: Limits and Opportunities," in Proceedings of Third ACM Workshop on Computing within Limits (LIMITS), Santa Barbara, CA, June 22-24, 2017.
  14. 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.
  15. 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.
  16. 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.
  17. D.-S. Zois, U. Mitra, “Controlled Sensing: A Myopic Fisher Information Sensor Selection Strategy,” Globecom, Austin, TX, December 8-12, 2014.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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)
  23. 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.
  24. 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. C. Chelmis, D.-S. Zois, "Order-of-Magnitude Popularity Estimation of Pirated Content," Machine Learning Techniques for Online Social Networks, Lecture Notes in Social Networks, Springer, pp. 85-113, May 2018.
  2. D.-S. Zois, S. Lee, M. Annavaram, U. Mitra, “Pervasive Computing in Medicine: From Electronic Health Records to Nanomedicine”, John Wiley & Sons, 2015.

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

Tutorials

  1. C. Chelmis, D.-S. Zois, "Characterization, Detection, and Mitigation of Cyberbullying," 12th International Conference on Web and Social Media (ICWSM), Stanford, CA, June 25-28, 2018.

  2. C. Chelmis, D.-S. Zois, "Popularity on the Web: From Estimation to Prediction," IEEE International Conference on Big Data (Big Data), Boston, MA, December 11-14, 2017.