Dr. Nadeem Kafi, PhD

Assistant Professor

Nadeem Kafi Khan is an Assistant Professor in the Department of Computer Science, FAST National University of Computer and Emerging Sciences, Karachi. He has received his Ph.D (EE) from FAST NUCES in 2020. He is a member of Systems Research Laboratory and Center for Research in Ubiquitous Computing (CRUC). His research interests include Networking, Parallel and Distributed Computing, and Human Intensive Machine Learning.

 

Courses Taught

 

Core Programming Courses (Programming Fundamentals, Object Oriented Programming, Data Structures, Operating Systems), GPU Programming, Parallel and Distributed Computing, Cloud Computing, Computer Architecture, Microprocessor Programming and Interfacing, Assembly Language, Information Security, Computer Networks, etc

 

Education

 

BE (Computer Systems), MS (Computer Science), PhD (EE)

 

Achievements

 

Best Performer in FAST School of Computing (Spring 2019), MS Coordinator (Fall 2020-Fall 2021),

 

Publications

i) Kafi, N., Shaikh, Z. A., & Shaikh, M. S. (2018). Human computations in citizen crowds: A knowledge management solution framework. Mehran University Research Journal Of Engineering & Technology, 37(3), 513–528. https://search.informit.org/doi/10.3316/informit.677711188638713

ii) N. M. Durrani, N. Kafi, J. Shamsi, W. Haider and A. M. Abbsi, “Secure multi-hop routing protocols in Wireless Sensor Networks: Requirements, challenges and solutions,” Eighth International Conference on Digital Information Management (ICDIM 2013), 2013, pp. 41-48, doi: 10.1109/ICDIM.2013.6694001.

iii) J. A. Shamsi, N. M. Durrani and N. Kafi, “Novelties in Teaching High Performance Computing,” 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015, pp. 772-778, doi: 10.1109/IPDPSW.2015.88.

iv) Raza, S., Haider, W., Durrani, N.M., Khan, N.K., Abbasi, M.A. (2015). Trust Based Energy Preserving Routing Protocol in Multi-hop WSN. In: Bouajjani, A., Fauconnier, H. (eds) Networked Systems . NETYS 2015. Lecture Notes in Computer Science(), vol 9466. Springer, Cham. https://doi.org/10.1007/978-3-319-26850-7_42