yasir_nauman

Dr. Yasir Noman Khalid (PhD CUST, Pakistan)

Lecturer
PROFILE SUMMARY

Yasir Noman Khalid received the Ph.D. degree from Capital University of Science and Technology, Islamabad, Pakistan. He has been allied with the academia for the last four years. He has published multiple research papers in well reputed journals from the field of parallel computing and serve as reviewer for high impact factor journals. His research interests are parallel computing, scheduling mechanism for heterogeneous parallel machines, GPGPU, and performance analysis.

QUALIFICATION
PhD Computer Science Capital University of Science and Technology (CUST), Islamabad 2020
MS Software Engineering University of Engineering and Technology, Taxila 2013
BS Computer Science National University of Computing and Emerging Sciences, Islamabad 2006
TEACHING EXPERIENCE
Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2019
Visiting Faculty Mohammad Ali Jinnah University, Islamabad 2017 – 2018
RESEARCH AREAS / INTERESTS
  1. Parallel computing;
  2. Heterogeneous Computing;
  3. GPGPU;
  4. Mathematical Modelling
JOURNAL PUBLICATIONS
1. Ahmed, U., Aleem, M., Khalid, Y.N., Islam, M.A. and Iqbal, M.A., 2019. RALB‐HC: A resource‐aware load balancer for heterogeneous cluster. Concurrency and Computation: Practice and Experience.
2. Khalid, Yasir Noman, Muhammad Aleem, Usman Ahmed, Muhammad Arshad Islam, and Muhammad Azhar Iqbal. “Troodon: A machine-learning based load-balancing application scheduler for CPU–GPU system.” Journal of Parallel and Distributed Computing (2019).
3. Khalid, Yasir Noman, Muhammad Aleem, Radu Prodan, Muhammad Azhar Iqbal, and Muhammad Arshad Islam. “E-OSched: a load balancing scheduler for heterogeneous multicores.” The Journal of Supercomputing (2018): 1-33.

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