Research Interests

My research interests lie at the boundary of distributed algorithms for large-scale systems and their applications in emerging technologies such as mobile ad hoc networks, wireless sensor networks and vehicular technologies. I am trying to follow approaches that add self-adaptiveness to the system design, leading to an increased robustness of the system under study. This approach seems to be embraced by more and more people lately, with clear defined applications being seen in fields as communication networks, swarms robotics, sensing of the physical and social environment, transport and logistics, architecture, etc. I brought together a number of interesting ideas in this sense in my course Large-scale adaptive systems.

Of particular interest are the algorithms and applications involving dynamic scenarios, in which, for example, the components of a given network are mobile. I especially favor approaches inspired by biological mechanisms already existing around us in nature, approaches that make use of no "helping" assumptions (as central computation capabilities, position information, powerful hardware available). If you are interested to collaborate with my team on these topics, the following presentation gives a brief introduction: link.

Since I started my current assistant professor assignment at TUDelft, I have been involved in the following research projects: FP7 Demanes project, Shine Flagship Project, FP7 Wisebed project, SenterNovem Free project, LoCare project.

Selected Publications

• NetDetect: Neighbor Discovery in Wireless Networks using Adaptive Beacons
  Iyer, V. and Pruteanu, A.S. and Dulman S.O., IEEE SASO 2011
• Post-processing in wireless sensor networks: Benchmarking sensor trace files for in-network data aggregation
  Theodoridis, E. and Chatzigiannakis, I. and Dulman, S.O., Elsevier Journal of Network and Computer Applications 2011
• FailDetect: Gossip-based Failure Estimator for Large-Scale Dynamic Networks
  Pruteanu, A. and Iyer, V.G. and Dulman, S.O., IEEE ICCCN 2011
• ChurnDetect: A Gossip-based Churn Estimator for Large-Scale Dynamic Networks
  Pruteanu, A. and Iyer, V.G. and Dulman, S.O., Euro-Par 2011
• ASH: Tackling Node Mobility in Large-Scale Networks
  Pruteanu, A. and Dulman, S.O. and Langendoen, K.G., IEEE SASO 2010

The full list of my publications is available on the Publications page.

Students

Several PhD students are helping me follow various research directions in the field of adaptive algorithms for large-scale systems. Additional details can be found on their webpages:

• Andrei Pruteanu
• Venkat Iyer
• Coen van Leeuwen
• Qingzhi Liu
• Andreas Loukas
• Hadi Tabatabaee

This is a list of master students at TUDelft I am currently supervising:

• Arjan Kodde - Distributed processing on WSNs (@TNO)
• Pim Nijdam - Runtime adaptation via evolution on WSNs (@Almende)
• Sjors van Berkel - Automatic generation of goal-driven agent-based programs
• Steffan Karger - Smart buildings - a spatial computing approach
• Agostino di Figlia - High-level exploration of distributed behaviors
• Daniel Turi - Hardware accelaration of simulations of distributed systems (with PDS Group)
• Goncalo Bernardo - Viral programming and control of wireless sensor networks (@TNO)
• Dan Avramescu - Distributed sensing in the context of social networks (with Univ. La Sapienza, Rome)
• Kees Kwekkeboom - Distributed debugging techniques (@TNO)