decIsion Making for
Ambient INtelligence
Environments

Publications

For an up-to-date list of my publications, see my Google Scholar profile.

Journal Papers

  • C. Chelmis, D.-S. Zois, "Dynamic, Incremental, and Continuous Detection of Cyberbullying in Online Social Media," ACM Transactions on the Web, 2021. (Accepted)

  • Y. Liyanage, D.-S. Zois, C. Chelmis, "Near Real-Time Freeway Accident Detection," IEEE Transactions on Intelligent Transportation Systems, pp. 1-12, October 2020. [pdf]

  • O. R. Shishvan, D.-S. Zois, T. Soyata, "Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey," IEEE Access, vol. 6, pp. 46419-46494, August 2018. [pdf]

  • 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. [pdf]

  • D.-S. Zois, M. Levorato, U. Mitra, "Active Classification for POMDPs: a Kalman-like State Estimator," IEEE Transactions on Signal Processing, vol. 62, no. 23, pp. 6209-6224, December 2014. [pdf]

  • 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, no. 7, pp. 1581-1594, April 2013. [pdf]

  • 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, no. 5, pp. 116-125, May 2012. [pdf]

Tutorials

  • C. Chelmis, D.-S. Zois, "Characterization, Detection, and Mitigation of Cyberbullying," 13th ACM Web Science Conference (WebSci), June 21-22, 2021. [link]

  • 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. [link]

  • 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. [link]

Chapters in Books

  • O. R. Shishvan, D.-S. Zois, T. Soyata, "Incorporating Artificial Intelligence into Medical Cyber-Physical Systems: A Survey," Connected Health in Smart Cities, Springer, pp. 153-178, December 2019. [link]

  • 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. [link]

  • D.-S. Zois, S. Lee, M. Annavaram, U. Mitra, "Energy-Efficient Physical Activity Detection in Wireless Body Area Networks," Wireless Computing in Medicine: From Nano to Cloud with Ethical and Legal Implications, John Wiley & Sons, pp. 211-262, 2016. [link]

  • D.-S. Zois, G. Roumeliotis, V. Kekatos, K. Berberidis, "Information Transmitting Systems," Patras, Greece, April 2008. (in Greek)

Conference & Workshop Papers

  • H. Habibzadeh, O. Zhou, J. S. Norton, T. M. Vaughan, D.-S. Zois, "A Classifer for Improving Cause and Effect in SSVEP-based BCIs for Individuals with Complex Communication Disorders," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.

  • Y. Liyanage, D.-S. Zois, "Optimum Feature Ordering for Dynamic Instance-wise Joint Feature Selection and Classification," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.

  • I. Nazar, D.-S. Zois, C. Chelmis, "Knowing When to Stop: Joint Heterogeneous Feature Selection and Classification," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, November 1-5, 2020.

  • I. Nazar, Y. Liyanage, D.-S. Zois, C. Chelmis, "Sequential Heterogeneous Feature Selection for Multi-class Classification: Application in Government 2.0," IEEE International Workshop on Signal Processing for Machine Learning (MLSP), Aalto University, Espoo, Finland, September 21-24, 2020. [pdf]

  • Y. Liyanage, D.-S. Zois, C. Chelmis, "On-the-fly Feature Selection and Classification with Application to Civic Engagement Platforms," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. [pdf]

  • I. Nazar, Y. Liyanage, D.-S. Zois, C. Chelmis, "Automated Optimal Online Civil Issue Classification using Multiple Feature Sets," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, November 3-6, 2019. [pdf]

  • C. Yong, C. Chelmis, W. Lee, D.-S. Zois, "Understanding Online Civic Engagement: A Multi-Neighborhood Study of SeeClickFix," IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Vancouver, BC, Canada, August 27-30, 2019. [pdf]

  • I. Nazar, D.-S. Zois, M. Yao, "A Hierarchical Approach for Timely Cyberbullying Detection," IEEE Data Science Workshop (DSW), Minneapolis, MN, June 2-5, 2019. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • M. Yao, D.-S. Zois, C. Chelmis, "Towards Robust Detection of Cyberbullying in Social Media," Third Workshop on Women in Web Data Science (WINDS), San Francisco, CA, May 13-17, 2019. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • 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. [pdf]

  • M. Yao, C. Chelmis, D.-S. Zois, "Cyberbullying Detection on Instagram with Optimal Online Feature Selection," IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018. [pdf]

  • D.-S. Zois, A. Kapodistria, M. Yao, C. Chelmis, "Optimal Online Cyberbullying Detection," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 15-20, 2018. [pdf]

  • C. Chelmis, D.-S. Zois, M. Yao, "Mining Patterns of Cyberbullying on Twitter," IEEE ICDM Workshop on Data Mining in Networks (DaMNET), New Orleans, LA, November 18, 2017. [pdf]

  • M. Zheleva, P. Bogdanov, D.-S. Zois, W. Xiong, R. Chandra, M. Kimball, "Smallholder Agriculture in the Information Age: Limits and Opportunities," Third ACM Workshop on Computing within Limits (LIMITS), Santa Barbara, CA, June 22-24, 2017. [pdf]

  • D.-S. Zois, "Sequential Decision-Making in Healthcare IoT: Real-Time Health Monitoring, Treatments and Interventions," IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston, VA, December 12-14, 2016. [pdf]

  • 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. [pdf]

  • D.-S. Zois, U. Demiryurek, U. Mitra, "A POMDP approach for active collision detection via networked sensors," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, November 6-9, 2016. (invited) [pdf]

  • D.-S. Zois, M. Raginsky, "Active Object Detection on Graphs via Locally Informative Trees," IEEE International Workshop on Signal Processing for Machine Learning (MLSP), Vietri sul Mare, Salerno, Italy, September 13-16, 2016. [pdf]

  • D.-S. Zois, U. Mitra, "Controlled Sensing: A Myopic Fisher Information Sensor Selection Strategy," IEEE Globecom, Austin, TX, December 8-12, 2014. [pdf]

  • D.-S. Zois, U. Mitra, "A Weiss-Weinstein Lower Bound Based Sensing Strategy for Active State Tracking," IEEE International Symposium on Information Theory (ISIT), Honolulu, HI, June 29 - July 4, 2014. [pdf]

  • D.-S. Zois, U. Mitra, "On the Properties of Nonlinear POMDPs for Active State Tracking," 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, December 3-5, 2013. (invited) [pdf]

  • D.-S. Zois, U. Mitra, "A Unified Framework for Energy Efficient Physical Activity Tracking," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Grove, CA, November 3-6, 2013. (invited) [pdf]

  • D.-S. Zois, M. Levorato, U. Mitra, "Non-linear smoothers for discrete-time, finite-state Markov chains," IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, July 7-12, 2013. [pdf]

  • 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. [pdf]

  • 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 Communications (ICC), Ottawa, Canada, June 10-15, 2012. [pdf]

  • D.-S. Zois, M. Levorato, U. Mitra, "A POMDP Framework for Heterogeneous Sensor Selection in Wireless Body Area Networks," 31st Annual International Conference on Computer Communications Mini-conference (INFOCOM), Orlando, FL, March 25-30, 2012. [pdf] (Acceptance Rate: 25.5%)

Posters & Abstracts

  • S. Ekanayake, D.-S. Zois, "Context-Aware Human State Modeling and Monitoring," Annual University at Albany Research Conference, University at Albany, State University of New York, Albany, NY, April 28th, 2020.

  • S. Ekanayake, C. Zhu, C. Chelmis, D.-S. Zois, "COMPASS: An end-to-end system for streamlining the delivery of human services," Annual University at Albany Research Conference, University at Albany, State University of New York, Albany, NY, April 28th, 2020.

  • I. Nazar, Y. Liyanage, D.-S. Zois, C. Chelmis, "Multi-class Classification of Online Civil Issue Reports with Multiple Feature Sets," Annual University at Albany Research Conference, University at Albany, State University of New York, Albany, NY, April 28th, 2020.

  • Y. Liyanage, D.-S. Zois, C. Chelmis, "On-the-Fly Feature Selection and Classification with Application to Civic Engagement Platforms," Annual University at Albany Research Conference, University at Albany, State University of New York, Albany, NY, April 28th, 2020.

  • C. Chelmis, M. Yao, W. Lee, D.-S. Zois, B. S. Jagini, "A First Look into the Network of Human Service Providers," NetSci, Burlington, VT, May 27-31, 2019.

  • M. Yao, C. Chelmis, D.-S. Zois, "Robust Detection of Cyberbullying on Instagram: An Optimal Stopping Approach," NetSci, Burlington, VT, May 27-31, 2019.

  • 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.

  • C. Chelmis, D.-S. Zois, W. Lee, "Making Non-Profit and Service-providing Agencies Smarter With Big Data," INFORMS Annual Meeting (INFORMS), Phoenix, AZ, November 4-7, 2018. (invited)

  • C. Yong, C. Chelmis, D.-S. Zois, "Is it a pothole or graffiti? The Ins and Outs of Participatory Urban Issue Monitoring," IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, MA, October 7-8, 2018.

  • C. Yong, D.-S. Zois, C. Chelmis, "Building Smarter Communities with Data Science: Resolving Reported Issues in SeeClickFix," 15th Annual University at Albany Undergraduate Research Conference, University at Albany, State University of New York, Albany, NY, April 27th, 2018.

  • C. Chelmis, D.-S. Zois, M. Yao, "If Networks Could Talk: Understanding the Patterns and Characteristics of Cyberbullying," KDD Workshop on Data-Driven Discovery (KDD-DDD), Halifax, Nova Scotia, Canada, August 14, 2017.

  • D.-S. Zois, M. Levorato and U. Mitra, "Kalman-like state tracking and control in POMDPs with applications to body sensing networks," 2013 EE Research Festival, University of Southern California, Los Angeles, CA, February 6, 2013. (USC EE Best Poster Award)

  • D.-S. Zois, M. Levorato and U. Mitra, "Controlled sensing meets Kalman: smoothing in partially observed environments," 2013 Information Theory and Applications (ITA) Workshop, San Diego, CA, February 10-15, 2013. (Invited Graduation Day poster)

  • D.-S. Zois, M. Levorato and U. Mitra, "Unified herding of CaTs: Control and Tracking in POMDPs with Gaussian Observations," 2013 Information Theory and Applications (ITA) Workshop, San Diego, CA, February 10-15, 2013. (Invited Presentation)

  • D.-S. Zois, M. Levorato and U. Mitra, "Recursive estimation of hidden Markov chains via POMDPs," CSI's 30th Anniversary Conference and Celebration, USC Davidson Conference Center, Los Angeles, CA, November 29-30, 2012.

  • D.-S. Zois, M. Levorato and U. Mitra, "Recursive Kalman-type state estimation within a POMDP framework," Cognitive and Algorithmic Decision-Making Workshop, Monticello, IL, October 5-6, 2012. (Invited Presentation)

  • D.-S. Zois, M. Levorato and U. Mitra, "Energy-Efficient, Heterogeneous Sensor Selection for Physical Activity Detection in Wireless Body Area Networks," 2012 EE Research Festival, University of Southern California, Los Angeles, CA, April 20, 2012.

  • D.-S. Zois, M. Levorato and U. Mitra, "POMDP Framework for Optimal Sensor Selection and Activity Detection in Wireless Body Area Networks," 3rd International Workshop in Sequential Methodologies (IWSM), Stanford University, Stanford, CA, June 14-16, 2011. (Invited Presentation)

  • D.-S. Zois and U. Mitra, "Optimal Sensor Selection for Multihypothesis Physical Activity Detection in Wireless Body Area Networks," 2011 EE Research Festival, University of Southern California, Los Angeles, CA, April 29, 2011.

  • D.-S. Zois and U. Mitra, "Sleep Schedules for Energy Efficient Activity Detection in a Wireless Body Area Network," 2010 School of Information Theory, University of Southern California, Los Angeles, CA, August 5-8, 2010.

Theses

  • D.-S. Zois, "Active state tracking in heterogeneous sensor networks," Los Angeles, CA, August 2014.

  • D.-S. Zois, "Telecommunication channel estimation algorithms using 'hidden' training sequence," Patras, Greece, September 2007. (in Greek)