Theodoros Anagnostopoulos

 

Short CV

 

Theodoros Anagnostopoulos received his first BSc in Informatics from the Department of Informatics and Engineering at the Technical Educational Institute of Athens in 1997. He received his second BSc in Informatics from the Department of Informatics at the Athens University of Economics and Business in 2001. He also received his MSc in Information Systems from the Department of Informatics, Athens University of Economics and Business in 2002. He received his Ph.D in Pervasive Computing from the National and Kapodistrian University of Athens, Department of Informatics and Telecommunications in 2012. During the period 2012 – 2014 he was a Postdoctoral Research Associate at the Technical Educational Institute of Athens, Department of Informatics and Engineering in the areas of Distributed Computing and Surveillance Systems.  During the period 2014 – 2015 he was a Postdoctoral Research Associate at the ITMO University in Russia, Department of Infocommunication Technologies in the areas of Smart Cities and Internet of Things (IoT). Currently, he is a Postdoctoral Research Associate at the University of Oulu in Finland, at the Department of Computer Science and Engineering in the areas of Ubiquitous and Mobile Computing. His current research interests are in the areas of Location Prediction and Time-of-Arrival Estimation of Location Based Services in IoT-enabled Smart Cities.

 

Publications

 

Journals

 

1.     T. Anagnosotpoulos, C. Anagnosotpoulos, S. Hadjiefthymiades, A. Zaslavsky,  “An On-line Location Prediction Exploiting Spatial and Velocity Context”, International Journal of Wireless Information Networks, Springer, December, 2014.

2.     T. Anagnostopoulos, S. Khoruzhnicov, V. Grudinin, C. Skourlas, “Extended Speech Emotion Recognition and Prediction”, Scientific and Technical Journal of Information Technologies, Mechanics and Optics, ITMO University, October, 2014.

3.     T. Anagnostopoulos, A. Zaslavsky, “Effective Waste Collection with Shortest Path Semi-Static and Dynamic Routing”, LNCS Journal, Internet of Things, Smart Spaces, and Next Generation Networks and Systems, Springer, August, 2014.

4.     T. Anagnostopoulos, C. Skourlas, “Ensemble Majority Voting Classifier for Speech Emotion Recognition and Prediction”, Journal of Systems and Information Technology, vol:16, iss:3, Emerald, February, 2014.

5.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, “Efficient Location Prediction in Mobile Cellular Networks”, International Journal of Wireless Information Networks, Springer Verlag, December, 2011.

6.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, “An Adaptive Machine Learning Algorithm for Location Prediction”, International Journal of Wireless Information Networks (2011) 18:88-99, Springer, April, 2011.

7.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, “An Adaptive Location Prediction Model based on Fuzzy Control”, Computer Communications 34 (2011) 816-834, Elsevier, Elsevier, January, 2011.

 

Book chapters

 

1.     T. Anagnostopoulos, “Advanced Location Prediction Techniques in Mobile Computing”, Abstracts of Doctoral Dissertations, NKUA, Department of Informatics and Telecommunications, Volume 8, pp 7-18, Athens, June, 2013, The Committee of Research and Development: A. Eleftheriadis, M. Koubarakis, E. Manolakos (Chair), T. Theoharis, ISSN: 1791-7948.

2.     T. Anagnostopoulos, “Reinforcement and Non-Reinforcement Machine Learning Classifiers for User Movement Prediction”, Intelligent Technologies and Techniques for Pervasive Computing,  Ed. S. Hadjiefthymiades, IGI Global, pp 218-237, May, 2013, Editor S. Hadjiefthymiades C. Anagnostopoulos, K. Kolomvatsos, ISBN: 978-14-66640-38-2.

3.     D. Charilas, T. Anagnostopoulos, A. Panagopoulos, C. Anagnostopoulos, “Cooperative Networks: Optimization through Game Theory and Mobility Prediction”, Planning and Optimisation of 3G and 4G Wireless Networks, Ed. J. Agbinya, River Publishers (Denmark), pp. 265-304, Feb, 2010, Editor: J.I. Agbinya, ISBN: 978-87-92329-24-0.

 

Conferences

 

1.     T. Anagnostopoulos, A. Zaslavsky, A. Medvedev, S. Khoruzhnicov, “Top-k Query based Dynamic Scheduling for IoT-enabled Smart City Waste Collection”, 16th IEEE International Conference on Mobile Data Management, MDM 2015, Pittsburgh, US, [Accepted on: March 10, 2015].

2.     T. Anagnostopoulos, A. Zaslavsky, A. Medvedev, “Robust Waste Collection exploiting Cost Efficiency of IoT potentiality in Smart Cities”, 1st IEEE International Conference on Recent Advances in Internet of Things, RIoT 2015, Singapore, [Accepted on: February 4, 2015].

3.     T. Anagnostopoulos, “A Surveillance System for Preventing Suicide Attempts in Urban Metro Stations”, ACM Proceedings of the 18th Panhellenic Conference on Informatics, Athens, Greece, October, 2014.

4.     K. Karlis, T. Anagnostopoulos, “Self-Assessment of the School Unit: Suggestions and Perspectives”, in the proceedings of 5th Conference on Informatics in Education, CIE 2013, Athens, Greece, October, 2013.

5.     T. Anagnostopoulos, “Screen Magnifier tool and its use as assistive ICT technology for students with low vision: Case Study”, 7th Conference of Panhellenic Association of Teachers of Informatics, Thessaloniki, Greece, April, 2013.

6.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, “Mobility prediction based on machine learning”, 12th IEEE International Conference on Mobile Data Management, MDM 2011, Lulea, Sweden, June, 2011.

7.     C. Anagnostopoulos, T. Anagnostopoulos, S. Hadjiefthymiades, “An Adaptive Data Forwarding Scheme for Energy Efficiency in Wireless Sensor Networks”, IEEE Conference on Intelligent Systems, (IS2010), London, UK., July, 2010.

8.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, “An Online Adaptive Model for Location Prediction”, (3rd Conf.) ICST Autonomics 2009, Limassol, Cyprus, September, 2009.

9.     T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, M. Kyriakakos, A. Kalousis, “Predicting the location of mobile users: a machine learning approach”, ACM International Conference on Pervasive Services (ICPS09), Imperial College, London, UK., July, 2009.

10.  T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, A. Kalousis, M. Kyriakakos , “Path Prediction through Data Mining”, IEEE Conference on Pervasive Services, ICPS07, Istanbul, Turkey, July, 2007.

11.  Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, “Enabling Attack Behavior Prediction in Ubiquitous Environments”, in the proceedings of IEEE ICPS 2005, Santorini, Greece, July, 2005.

12.  T. Anagnostopoulos, C. Anagnostopoulos, S. Hadjiefthymiades, "A History Model for Activity Coordination Towards Attack Probabilistic Reasoning", in the proceedings of IEEE ICPS 2005, Santorini, Greece, July, 2005.