My research interests primarily involve algorithms and protocols for supporting and enabling large-scale distributed systems, which concern urban computing, intelligent transportation, and PDES (Parallel Discrete-event Simulations). Due to the focus on high performance, my projects make use of optimization strategies, [meta-]heuristics, and learning algorithms in a distributed setup.
My research work thus faces challenges on the complexity and scale of problems, fairness, unpredictability, and volatility. I have explored the MDP (Markov Decision Process) modelling to tackle uncertainty. Game Theory models enable fair allocation in a distributed fashion. Supported and Supported Learning tools, as well as meta-heuristics, allow classification and characterization of traffic in ITS, IoT, and urban computing.
My research experience and interests are ample and substantially revolves around distributed systems and wireless networks.
Due to their large-scale nature, my project makes used of simulators to validate and evaluate new designs. Vehicular network simulators support my current works on Intelligent Transportation and Vehicular Systems, particularly Veins framework, which runs OMNet++ and SUMO.
Please refer to my Publications and list of Projects for my past scientific works.