Research Associate

Electrical & Electronics Engineering

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Brief CV   

Panagiotis Kasnesis was born in Greece, in 1984. He holds a Ph.D degree in computer science from the Department of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). Moreover, he received his Diploma degree in chemical engineering and his M.Sc. in techno-economic systems from the NTUA, in 2008 and 2013 respectively. He has participated as a researcher in several EU research projects and has an expertise in machine learning, Semantic Web technologies and the Internet of Things. He has more than ten publications in international journals, conferences and book chapters.

  Education:


Secondary Education Diploma .3rd Lyceum , Maroussi, Athens, Greece ,2002 
Chemical Engineering Diploma. School of Chemical Engineering National Technical University of Athens .Diploma Thesis: Use of solid phase extraction in the sample preparation for the quantification of pesticides in vegetables with GC – MS ,2008 Master of Engineering Economic Systems. School of Electrical and Computer Engineering- Department of Industrial Management National Technical University of Athens - University of Piraeus .Diploma Thesis: Energy saving mechanisms for home automation using Semantic Web technologies , 2013 PhD Candidate .School of Electrical and Computer Engineering ,National Technical University of Athens . PhD Thesis: Use of Cognitive Context-Aware Agents for the Social IoT ,2018

  Languages spoken:


Greek (native speaker) English (fluently), German (average)

  Memberships, Associations:


  • Member of Technical Chamber of Greece (TEE)

  Professional experience:


  • 11/2016 – today: Data Scientist, Department of Electronic Engineering, EU Horizon 2020 project STORM (http://www.storm-project.eu). University of West Attica
  • 10/2016 – today: Machine Learning Engineer, Department of Electronic Engineering, EU Horizon 2020 project TRILLION (http://trillion-project.eng.it). National Technical University of Athens
  • 7/2014 – 9/2015: School of Electrical and Computer Engineering: Semantic Applications Developer. Intelligent Communications and Broadband Networks Laboratory, EU FP7 project ARUM (http://arum-project.eu/)
  • Kasnesis, P., Patrikakis, C. Z., & Venieris, I. S. (2017). Changing Mobile Data Analysis through Deep Learning. IT Professional, 19(3), 17-23.
  • Kasnesis, P., Patrikakis, C. Z., Κogias, D., Toumanidis, L., & Venieris, I. S. (2017). Cognitive friendship and goal management for the social IoT. Computers & Electrical Engineering, 58, 412-428.
  • Kapsalis, A., Kasnesis, P., Venieris, I. S., Kaklamani, D. I., & Patrikakis, C. Z. (2017). A cooperative fog approach for effective workload balancing. IEEE Cloud Computing, 4(2), 36-45.
  • Meridou, D. T., Papadopoulou, M. E. C., Kasnesis, P., Patrikakis, C. Z., Lamprinakos, G., Kapsalis, A. P., ... & Kaklamani, D. T. I. (2015). The Health Avatar: Privacy-Aware Monitoring and Management. IT Professional, 17(5), 20-27.

Books:

  • Meridou, D. T., Papadopoulou, M. E. C., Kapsalis, A. P., Kasnesis, P., Delikaris, A. I., Patrikakis, C. Z., ... & Kaklamani, D. I. (2017). Improving Quality of Life with the Internet of Everything. In Beyond the Internet of Things (pp. 377-408). Springer, Cham.

 

Conferences and workshops:

  • P. Kasnesis, C. Patrikakis and I. S. Venieris, "PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion", accepted for presentation at the IntelliSys 2018 conference
  • Kasnesis, P., Toumanidis, L., Kogias, D., Patrikakis, C. Z., & Venieris, I. S. (2016, December). Assist: An agent-based siot simulator. In Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on (pp. 353-358). IEEE.
  • Kapsalis, A., Kasnesis, P., Theofanopoulos, P. C., Gkonis, P. K., Lavranos, C. S., Kaklamani, D. I., ... & Kyriacou, G. A. (2015, November). A Cloud Platform for classification and resource management of complex electromagnetic problems. In Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), 2015 7th International Joint Conference on (Vol. 1, pp. 388-393). IEEE.

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