• Vehicular Networks - Multi-RAT, High Mobility, Ultra Density, 5G NG
  • Mobility Management
  • Handover Management
  • Traffic Steering
  • Connectivity stability / intermittency
• Intelligence on the Edge
  • Distributed / Decentralized / Federated learning
• IoT / IoV
  • Dissemination and applications
  • Performance
• Mobile Cloud Computing / Vehicular Clouds
  • HPC and allocation
  • Offloading heuristics
  • Classification and ML
  • Applications (ITS)
• Intelligent Transportation Systems
  • Path Recommendation, Traffic management, and Traffic analysis

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.

Please contact me if you are a student interested in pursuing an MSc. degree or conducting an undergraduate research project, mainly if you share some of my above-listed, research interests. I am happy to discuss and encourage any potential interest or application.

Before you suggest any potential project, I strongly recommend you to take a close look at my past works and publications to identify relevant topics that fall in my field of expertise.

If you have any inquiries or concerns, contact me. Advice to students seeking graduate supervision:

• There is no need to know exactly what project you want to do.
• Students are expected to be motivated and independent, to evaluate problems critically, and to learn new things.
• I am continually looking for motivated students. However, please refer to the deadlines and academic rules of Brock University.
• There might be funding available:
  • Graduate students receive funding from a combination of sources: research funding, fellowships, and teaching assistantships.
  • Undergraduate students may receive funding from awards or research assistantships.
• Advice and rules to applicants to the graduate program here.