Marios Angelopoulos

Dr Marios Angelopoulos

  • Lecturer in Computing
  • Poole House P334a, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Dr. Constantinos Marios Angelopoulos is Lecturer in Computing at Bournemouth University (U.K.) since 2016, specializing in future and emerging paradigms of computer networks and distributed systems. Previously, he spent 3.5 years as a postdoctoral researcher at University of Geneva (CH) under the prestigious Swiss Government Excellence Scholarship for Foreign Researchers.

Marios is the founding Program Leader of the three IoT Master courses offered in BU; namely, MSc in Internet of Things, MSc in IoT & Cyber Securtiy, and MSc in IoT & Data Analytics. He is also founder and head of the Future & Complex Networks (FlexNet) research group.

Marios is the Lead Editor of the ITU-T Recommendation (Standard) on “Requirements and Functional Architecture of IoT-related Crowdsourced Systems”, co-editor of another 2 recommendations on IoT, Artificial Intelligence and smart cities, and the Liaison co-Rapporteur to the SCV for Study Group 20.

Research

Marios' research interests include algorithm and protocol design and evaluation, end-to-end system architectures, the design and implementation of proof-of-concept and pilot testbeds. His focus areas include Internet of Things, Mobile Crowdsensing Systems and Wireless Power Transfer in ad-hoc networks. Marios has co-authored more than 30 publications in renowned peer-reviewed international conferences, journals and book chapters in his area of expertise. He is also serving as a TPC member of several internationally renowned conferences (DCOSS, MSWiM, ICDCS, etc.) and journals (COMNET, JSS, ComCom, etc). Finally, Marios has been heavily involved in 6 research projects, both at a national and European level, also assuming managerial roles (Project Technical Coordinator, WP ans site leader).

Journal Articles

  • Angelopoulos, K., Xenia Ziouvelou, Panagiotis Alexandrou, Orestis Evangelatos, Joao Fernandes, Nikos Loumis, Frank McGroarty, Sotiris Nikoletseas and Aleksandra Rankov, 2017. Crowd-Driven IoT/IoE Ecosystems: A Multidimensional Approach. Beyond the Internet of Things, 341-375.
  • Angelopoulos, C.M., Nikoletseas, S., Patroumpa, D. and Raptopoulos, C., 2016. Efficient collection of sensor data via a new accelerated random walk. Concurrency Computation, 28 (6), 1796-1811.
  • Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P. and Rolim, J., 2015. Design and evaluation of characteristic incentive mechanisms in Mobile Crowdsensing Systems. Simulation Modelling Practice and Theory, 55, 95-106.
  • Angelopoulos, K., Nikoletseas, Raptis, Raptopoulos and Vasilakis, 2015. Improving sensor network performance with wireless energy transfer. International Journal of Ad Hoc and Ubiquitous Computing, 20 (3), 159-171.
  • Angelopoulos, C.M., Nikoletseas, S. and Raptis, T.P., 2014. Wireless energy transfer in sensor networks with adaptive, limited knowledge protocols. Computer Networks, 70, 113-141.
  • Angelopoulos, C.M. and Nikoletseas, S., 2011. Aggregated mobility-based topology inference for fast sensor data collection. Computer Communications, 34 (13), 1570-1579.
  • Angelopoulos, K. and Nikoletseas, 2010. Accelerated collection of sensor data by mobility-enabled topology ranks. Journal of Systems and Software, 83 (12), 2471-2477.

Chapters

  • Angelopoulos, K., Nikoletseas, S., Raptis, T. and Rolim, J., 2017. User Incentivization in Mobile Crowdsensing Systems. In: Habib Ammari, ed. In The Philosophy of Mission-Oriented Wireless Sensor Networks. Springer.
  • Angelopoulos, K. et al., 2017. Combining Internet of Things and Crowdsourcing for Pervasive Research and End-user Centric Experimental Infrastructures (IoT Lab). Building the Future Internet through FIRE. River Publishers Series in Information Science and Technology, 323-354.
  • Angelopoulos, C.M., Buwaya, J., Evangelatos, O. and Rolim, J., 2016. Strategies for wireless recharging in mobile ad-hoc networks. Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks. 305-330.
  • Angelopoulos, C.M., Nikoletseas, S. and Raptis, T.P., 2016. Wireless power transfer in sensor networks with adaptive, limited knowledge protocols. Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks. 465-502.

Conferences

  • Hossmann-Picu, A. et al., 2016. Synergistic user ↔ context analytics. 163-172.
  • Ad-hoc, Mobile, and Wireless Networks - 15th International Conference, ADHOC-NOW 2016, Lille, France, July 4-6, 2016, Proceedings. Springer.
  • Alexandrou, P. et al., 2016. A Service Based Architecture for Multidisciplinary IoT Experiments with Crowdsourced Resources. 187-201.
  • Angelopoulos, C.M., Buwaya, J., Evangelatos, O. and Rolim, J., 2015. Traversal strategies for wireless power transfer in mobile Ad-Hoc networks. 31-40.
  • Angelopoulos, C.M., Evangelatos, O., Nikoletseas, S., Raptis, T.P., Rolim, J.D.P. and Veroutis, K., 2015. A user-enabled testbed architecture with mobile crowdsensing support for smart, green buildings. 573-578.
  • Angelopoulos, C.M., Filiosy, G., Nikoletseas, S., Raptis, T.P., Rolim, J.D.P., Veroutis, K. and Ziegler, S., 2015. Towards a holistic federation of secure crowd-enabled IoT facilities. 555-560.
  • Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P., Raptopoulos, C. and Vasilakis, F., 2015. Improving sensor network performance with wireless energy transfer. 159-171.
  • Fernandes, J., Nati, M., Loumis, N.S., Nikoletseas, S., Raptis, T.P., Krco, S., Rankov, A., Jokic, S., Angelopoulos, C.M. and Ziegler, S., 2015. IoT Lab: Towards co-design and IoT solution testing using the crowd.
  • Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P. and Rolim, J.D.P., 2015. Characteristic utilities, join policies and efficient incentives in Mobile Crowdsensing Systems.
  • Angelopoulos, C.M. and Nikoletseas, S., 2013. Experimental performance evaluation of sensor-based networking for energy efficiency in smart buildings. 23-42.
  • Angelopoulos, C.M., Nikoletseas, S. and Raptis, T.P., 2013. Efficient wireless recharging in sensor networks. 298-300.
  • Angelopoulos, C.M., Nikoletseas, S. and Raptis, T.P., 2013. Adaptive, limited knowledge wireless recharging in sensor networks. 65-72.
  • Angelopoulos, C.M., Filios, G., Nikoletseas, S., Patroumpa, D., Raptis, T.P. and Veroutis, K., 2013. A holistic IPv6 test-bed for smart, green buildings. 6050-6054.
  • Angelopoulos, C.M., Nikoletseas, S., Patroumpa, D. and Raptopoulos, C., 2012. Radiation-aware data propagation in wireless sensor networks. 11-17.
  • Angelopoulos, C.M., Filios, G., Karagiannis, M., Nikoletseas, S. and Rolim, J., 2012. Fine-grained in-door localisation with wireless sensor networks. 159-162.
  • Angelopoulos, C.M., Nikoletseas, S., Raptis, T.P., Raptopoulos, C. and Vasilakis, F., 2012. Efficient energy management in wireless rechargeable sensor networks. 309-316.
  • Angelopoulos, C.M., Nikoletseas, S. and Theofanopoulos, G.C., 2011. A Smart system for garden watering using wireless sensor networks. 167-170.
  • Angelopoulos, C.M., Mouskos, C. and Nikoletseas, S., 2011. Social signal processing: Detecting human interactions using wireless sensor networks. 171-174.
  • Angelopoulos, C.M., Nikoletseas, S., Patroumpa, D. and Raptopoulos, C., 2011. A new random walk for efficient data collection in sensor networks. 53-59.
  • Angelopoulos, C.M., Efstathiou, D. and Nikoletseas, S., 2011. Experimental evaluation of energy balance algorithms in the SenseWALL sensor network test-bed.
  • Angelopoulos, C.M., Nikoletseas, S., Patroumpa, D. and Raptopoulos, C., 2011. Work-in-progress: A new random walk for data collection in sensor networks.
  • Angelopoulos, C.M., Nikoletseas, S., Patroumpa, D. and Rolim, J., 2010. Coverage-adaptive random walks for fast sensory data collection. 81-94.
  • Angelopoulos, C.M. and Nikoletseas, S., 2010. Accelerated collection of sensor data by mobility-enabled topology ranks. 2471-2477.
  • Ad-Hoc, Mobile and Wireless Networks, 9th International Conference, ADHOC-NOW 2010, Edmonton, Alberta, Canada, August 20-22, 2010. Proceedings. Springer.
  • Angelopoulos, C.M. and Nikoletseas, S., 2009. Fast sensory data collection by mobility-based topology exploration.
  • Angelopoulos, C.M. and Nikoletseas, S., 2009. Accelerated sensory data collection by greedy or aggregate mobility-based topology ranks. 63-70.

Profile of Teaching PG

  • Wireless Sensor and Actuator Networks - MSc IoT, MSc IoT & Cyber Security, MSc IoT & Data Analytics

Profile of Teaching UG

  • Infrastructure Strategy
  • Advanced Networks

Grants

  • Swiss Sense Synergy (Swiss National Science Foundation (SNSF), 01 Oct 2015). In Progress
  • IoT Lab (European Commission, 01 Oct 2013). In Progress
  • Models, Algorithms and Performance Evaluation for Radiation Aware Wireless Networking (Swiss National Science Foundation (SNSF) Personal Grant, 15 Sep 2013). Completed
  • PROSENS (Archimedes III Greek National Project, 01 Jun 2012). Completed
  • HOBNET (European Commission, 01 Oct 2010). Completed

External Responsibilities

  • International Telecommunication Union, Liaison Rapporteur of SG20 to the SCV (2016-)
  • International Telecommunication Union (ITU-T), Lead Editor of draft Recommendation (2016-)

Qualifications

  • Dipl.-Ing. (5-years curriculum) in Computer Science & Informatics (University of Patras, 2008)
  • MSc in Computer Science and Engineering (University of Patras, 2011)
  • PhD in Computer Science and Engineering (University of Patras, 2013)

Memberships

The data on this page was last updated at 04:05 on November 24, 2017.