Hafiz M. Ali received his PhD in engineering science form Simon Fraser University in Canada and his MS in computer science from Karachi Institute of Economics and Technology in Pakistan. He worked as a postdoctoral researcher in College of Business and Information Systems at Dakota State University in South Dakota before joining as a lecturer for the Information Systems program at Binghamton University's Computer Science Department.
His teaching experience includes working as a lecturer in computing (and engineering) science, and his IT industry experience includes working as a quality assurance, data and software support engineer. His several peer-reviewed publications appear in CS, engineering and IT fields.
Ali HM, Liu J, Bukhari SA, Rauf HT. Planning a secure and reliable IoT-enabled FOG-assisted computing infrastructure for healthcare. Cluster Computing. 2022 Jun;25(3):2143-61.
Bomgni AB, Mdemaya GB, Ali HM, Zanfack DG, Zohim EG. ESPINA: efficient and secured protocol for emerging IoT network applications. Cluster Computing. 2022 Jan 10:1-4.
Mtopi YB, Bomgni AB, Ali HM, Zanfack DR, Ejaz W, Djamegni CT, Gnimpieba EZ. MultiHop optimal time complexity clustering for emerging IoT applications. Cluster Computing. 2022 Aug 3:1-7.
Ali HM, Liu J, Ejaz W. Planning capacity for 5G and beyond wireless networks by discrete fireworks algorithm with ensemble of local search methods. EURASIP Journal on Wireless Communications and Networking. 2020 Dec;2020(1):1-24.
Ali HM, Ejaz W, Lee DC, Khater IM. Optimising the power using firework‐based evolutionary algorithms for emerging IoT applications. IET Networks. 2019 Jan;8(1):15-31.
Detailed list: https://scholar.google.com/cit...
- Combinatorial optimization
- Network planning
- Information diffusion in social networks
- Healthcare informatics