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Athanasios Bamis PhD

TitleAssistant Professor
InstitutionUniversity of Connecticut
DepartmentComputer Science and Engineering
AddressUNIT 2155
Information Technologies Engineering Building
371 Fairfield Way
Phone860-486-2572
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    Other Positions
    TitleAssistant Professor
    InstitutionUConn Health Center
    DepartmentConnecticut Institute for Clinical and Translational Science
    DivisionBiomedical Informatics


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    Athanasios (Nasos) Bamis is an assistant professor in the Department of Computer Science and Engineering at the University of Connecticut. Before joining UConn, he received his PhD and MPhil from Yale University, and a Diploma of Engineering from the Computer Engineering and Informatics Department at the University of Patras, Greece. Athanasios research interests lie in the intersection of cyber-physical systems and applied pattern recognition/data mining. In particular, the areas of his expertise include:
    - Data mining methods and algorithms to infer human behaviors and routines from sensor data and analyze their temporal properties.
    - Middleware for human-centric cyber-physical systems with the goal to make sensor data available in the cloud and simplify actuation.
    - Applications that depend on the analysis of human behavioral patterns to provide services, including assisted living and proactive health management, power efficiency in buildings, security, and community sensing using smartphones.




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    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Lymberopoulos D, Bamis A, Savvides A. Universal Access in the Information Society. Extracting spatiotemporal human activity patterns in assisted living using a home sensor network. 2011; 10(2):125-138.
    2. Bamis A, Lymberopoulos D, Teixeira T, Savvides A. Personal and Ubiquitous Computing. The BehaviorScope Framework for Enabling Ambient Assisted Living. 2010; 14(6):1617-4909.
    3. Bamis A., Fang J., Savvides A. 19th ACM International Conference in Information and Knowledge Management (CIKM). A Method for Discovering Components of Human Rituals from Streams of Sensor Data. 2010.
    4. Bamis A., Savvides. 31st IEEE International Conference on Real-Time Systems Symposium (RTSS). Lightweight Extraction of Frequent Spatio-Temporal Activities from GPS Traces. 2010.
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