Publication

Research Papers:

  • Akram, W., Noor, S., & Manzoor, A.,.The State of the Art in Smart Grid Domain: A Network Modeling Approach. Brain: Broad Research of Artificial Intelligence and Neuroscience. Accepted for publication in upcoming issue 2020

  • Noor, S., Akram, W., Ahmed, T., & Ain, Q., Predicting COVID-19 Incidence Using Data Mining Techniques: A case study of Pakistan. Brain: Broad Research of Artificial Intelligence and Neuroscience. Accepted for publication in upcoming issue 2020.

  • Akram, W., Tedesco, F., & Casavola, A., (2020).  A Discrete-Time Adaptive Fault-Tolerant Control Allocation Schemes for Overactuated Vehicles. Chapter in Springer Book- Lecutre Notes in Computer Science, Under review

  • Tedesco, F., Akram, W., Casavola, A., & Famularo, D. (2020, August). A receding horizon set-theoretic approach oriented to predictive maintenance of actuators in linear systems. In 2020 IEEE Conference on Control Technology and Applications (CCTA) (pp. 588-593). IEEE.
  • Akram, W., & Niazi, M. A. (2018). A formal specification framework for smart grid components. Complex Adaptive Systems Modeling6(1), 5.
  • Akram, W., Niazi, M. A., & Iantovics, L. B. (2017). Towards Agent-Based Model Specification in Smart Grid: A Cognitive Agent-based Computing Approach. arXiv preprint arXiv:1710.03189.
  • Akram, W., & Niazi, M. A. (2019). Applications of multi-agent systems in smart grid: a survey and taxonomy. IET. Modeling and Simulation of Complex Communication Networks, 111.
  • Akram, W., & Niazi, M. A. (2019). Demand–response management in smart grid: a survey and future directions. IET. Modeling and Simulation of Complex Communication Networks, 83.
  • Akram, W., & Shah, M. A. (2017). Online Signature Verification: A Survey on Authentication in Smartphones. In Advances in Ubiquitous Networking 2 (pp. 471-480). Springer Singapore
  • Akram, W., & Niazi, M. A. (2019). Modeling and Simulation of Smart Grid: A cognitive agent-based computing approach. CRC Press, Book, under review