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Akramul Azim
BSc, MSc, PhD (Waterloo), PEng, SMIEEE

Associate Professor

Department of Electrical, Computer and Software Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: SIRC 3389

905.721.8668 ext. 2774
905.721.3370 (fax)

Research topics

  • Real-Time Systems
  • Embedded Software
  • Safety-Critical Systems
  • Internet of Things
  • Software Verification and Validation
  • Software Quality and Testing
  • Applied Machine Learning


  • PhD (Electrical and Computer Engineering), University of Waterloo, 2014
  • MSc (Computer Science and Engineering), 2009
  • BSc (Computer Science and Information Technology), 2006

Publications and presentations

  • Selected publications and presentations
    • Joelma Peixoto and Akramul Azim, “Improving Environmental Awareness for Autonomous Vehicles”, In Applied Intelligence, 2022.
    • Bradley Wood, Akramul Azim, “Triton: a Domain Specific Language for Cyber-Physical Systems”, In 22nd IEEE Conference on Internet Technology (ICIT), 2021, Spain.
    • Md Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Sylvian Garcon and Qasim Tauseef, “Failure prediction using machine learning in IBM WebSphere Liberty continuous integration environment”, In International Conference of the Center for Advanced Studies on Collaborative Research(CASCON), 2021.
    • Nitin Auluck, Akramul Azim, Anil Singh, Md. Al Maruf, “Faster Fog Computing based Over-the-air Vehicular Updates: A Transfer Learning Approach, In IEEE Transactions on Services Computing, 2021.
    • Nayreet Islam and Akramul Azim, “A Situation-Aware Adaptation Framework for Intelligent Transportation Systems”, In IEEE International Symposium On Real-Time Distributed Computing (ISORC), 2020, pp. 106-115, USA.
    • Darren Saguil, Akramul Azim, A Layer-Partitioning Approach for Faster Execution of Neural Network Based Embedded Applications in Edge Networks, In IEEE Access, Vol. 8, pp. 59456-59469, April 2020.
    • Okwudili M. Ezeme, Qusay Mahmoud, Akramul Azim, A Framework for Anomaly Detection in Time-Driven and Event-Driven Processes using Kernel Traces, In IEEE Transactions on Knowledge and Data Engineering, March 2020.
    • Okwudili M. Ezeme, Qusay Mahmoud. Akramul Azim, PESKEA: Anomaly Detection Framework for Profiling Kernel Event Attributes in Embedded Systems, In IEEE Transactions on Emerging Computing, January 2020.
    • Kaneez Fizza, Nitin Auluck, Akramul Azim, Improving the Schedulability of Real-Time Tasks using Fog Computing, In IEEE Transactions on Services Computing, 2019.
    • Xi Chen, Akramul Azim, Xue Liu, Sebastian Fischmeister, and Jun Ma, ”DTS: Dynamic TDMA Scheduling for Networked Control Systems”, In Journal of Systems Architecture, Vol. 60 Issue. 2, pp. 194-205, IF: 2.552, February 2014.
    • Akramul Azim, Gonzalo Carvajal, Rodolfo Pellizzoni, and Sebastian Fischmeister, “Generation of Communication Schedules for Multi-Mode Distributed Real-Time Applications”, In proceedings of the Design, Automation and Test in Europe (DATE), 2014, pp. 1-6, Germany.
    • Akramul Azim, Shreyas Sundaram, and Sebastian Fischmeister, “An Efficient Periodic Resource Supply Model for Workloads with Transient Overloads”, In proceedings of the 25th Euromicro Conference on Real-time Systems (ECRTS), July 2013, pp. 249-258, France.