[T1] "Reducing Data Archival Costs using Machine Learning", Brian T. Nixon, Ph.D. Dissertation, University of Pittsburgh, Department of Computer Science, April 2026.
Conference and Workshop Papers
[C1] "Can Data Postdiction Extend to Text? An Experimental Evaluation of Vectorization Strategies", Brian T. Nixon, Panos K. Chrysanthis, 30th European Conference on Advances in Databases and Information Systems, (ADBIS'26), 2026. [Accepted]
[C2] "Exploring Learned Data Reduction for Energy Savings on Battery-Powered Devices", Kartik Hans, Brian T. Nixon, Panos K. Chrysanthis, Proceedings of the 27th IEEE International Conference on Mobile Data Management, MDM'26, 2026.
[C3] "RETSINA: Reproducibility and Experimentation Testbed for Signal-Strength Indoor Near Analysis", Anna Baskin, Brian T. Nixon, Panos K. Chrysanthis, Christos Laoudias, Constantinos Costa, Proceedings of the 13th IEEE International Conference on Indoor Positioning and Indoor Navigation, (IPIN'23), 2023.
[C4] "Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline", Anna Baskin, Scott Heyman Brian T. Nixon, Constantinos Costa, Panos K. Chrysanthis, 27th European Conference on Advances in Databases and Information Systems, (ADBIS'23), 2023.
[C5] "A Context, Location and Preference-Aware System for Safe Pedestrian Mobility", Constantinos Costa, Brian T. Nixon, Sayantani Bhattacharjee, Benjamin Graybill, Demetrios Zeinalipour-Yazti, Walter Schneider, Panos K. Chrysanthis, Proceedings of the 22nd IEEE International Conference on Mobile Data Management, (MDM'21), 2021.
Demo Papers
[D1] "DJGen: Data & Conjunctive Join Plan Generator", Vasilis E. Sarris, Brian T. Nixon, Panos K. Chrysanthis, Proceedings of the 42nd IEEE International Conference on Data Engineering, ICDE'26, 2026.
[D2] "GIO.G: A Generator for Indoor-Outdoor Graphs to Simulate and Analyze Urban Environments", Vasilis E. Sarris, Connor P. Sweeney, Sean M. Linton Brian T. Nixon, Panos K. Chrysanthis, Constantinos Costa, Proceedings of the 25th IEEE International Conference on Mobile Data Management, (MDM'24), 2024.
[D3] "CAPRIO with Inclusive Pedestrian Path Recommendations", Brian T. Nixon, Zhiyong Chen, Sai Konduru, Yuxin Liu, Constantinos Costa, Panos K. Chrysanthis, Proceedings of the 24th IEEE International Conference on Mobile Data Management, (MDM'23), 2023.
[D4] "Efficient Detection of Covid-19 Exposure", Brian T. Nixon, Rakan Alseghayer, Constantinos Costa, Benjamin Graybill, Xiaozhong Zhang, Panos K. Chrysanthis, Proceedings of the 23rd IEEE International Conference on Mobile Data Management, (MDM'22), 2022.
[D5] "HealthDist: A Context, Location and Preference-Aware System for Safe Navigation", Brian T. Nixon, Sayantani Bhattacharjee, Benjamin Graybill, Constantinos Costa, Sudhir Pathak, Walter Schneider, Panos K. Chrysanthis, Proceedings of the 22nd IEEE International Conference on Mobile Data Management, (MDM'21), 2021.
Posters and Abstracts
[A1] "Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline", Anna Baskin, Scott Heyman Brian T. Nixon, Constantinos Costa, Panos K. Chrysanthis, The 18th Hellenic Data Management Symposium (Poster Session), (HDMS'24), 2024.
Awards and Honors
IEEE MDM'21: Best Industry and Application Track Paper Award: "A Context, Location and Preference-Aware System for Safe Pedestrian Mobility", Proceedings of the 22nd IEEE International Conference on Mobile Data Management, Toronto, Canada, June 15 - June 18, 2021.
IEEE MDM'21: Best Demo Paper Award: "HealthDist: A Context, Location and Preference-Aware System for Safe Navigation", Proceedings of the 22nd IEEE International Conference on Mobile Data Management, Toronto, Canada, June 15 - June 18, 2021.