ULM

Dr. Muhammad Bilal Qureshi (Assistant Professor (HoD))

Academic Record Experience Publications

Degree	Year	Board/Institute
PhD	0	-
MS/MPhil	0	-

Sr#	Key Publications
1	M. B. Qureshi, M. A. Alqahtani, N. M. Allah, “Grid Resource Allocation for Real-Time Data-Intensive Tasks,” IEEE Access, 5(1), pp. 22724-22734, 2017. (IF: 4.098, W-cat)
2	M. B. Qureshi, M. M. Dehnavi, N. M. Allah, M. S. Qureshi, H. Hussain, I. Rentifis, N. Tziritas, T. Loukopoulos, S. U. Khan, C. Z. Xu, and A. Y. Zomoya, “Survey on Grid Resource Allocation Mechanisms,” Journal of Grid Computing, Springer, 12(2), pp. 399-441, 2014. (IF: 3.288, W-cat)
3	M. B. Qureshi, S. Alrashed, N. M. Allah, J. Kolodziej, and P. Arabas, “Maintaining the Feasibility of a Hard Real-time Systems with Reduced Number of Priority Levels,” International Journal of Applied Mathematics and Computer Science, 25(4), pp. 709-722, 2015. (IF: 1.694, W-cat)
4	H. Hussain, S. R. Malik, A. Hameed, S. U. Khan, G. Bickler, N. M. Allah, M. B. Qureshi et al., “A Survey on Resource Allocation in High Performance Distributed Computing Systems,” Parallel Computing, Elsevier, 39(11), pp. 709–736, 2013. (IF: 1.281, W-cat)
5	N. M. Allah, M. B. Qureshi, S. Alrashed, and O. F. Rana, “Cost Efficient Resource Allocation for Real-Time Tasks in Embedded Systems,” Sustainable Cities and Society, Elsevier, 48(2019), 101523, pp. 1-9, 2019. (IF: 5.268, W-cat)
6	N. Min-Allah, M. B. Qureshi, F. Jan, S. Alrashed, and J. Tahiri, “Deployment of Real-Time Systems in the Cloud Environment,” The Journal of Supercomputing, Springer, 77, pp. 2069 – 2090, 2020. (IF: 2.469, W-cat)
7	M. S. Qureshi, M. B. Qureshi, I. Khan, M. Awais, A. Sajid, M. Fayaz, and A. Shah, “A Comparative Analysis of Resource Allocation Schemes for Real-Time Services in High Performance Computing Systems,” International Journal of Distributed Sensor Networks, 16(6), pp.1 – 35, 2020. (IF: 1.614, W-cat)
8	I. Mustafa, I. Khan, S. M. Mohsin, A. Sajid, S. Aslam, M. Awais, and M. B. Qureshi, ”A Lightweight Post-Quantum Lattice-Based RSA for Secure Communications,” IEEE ACCESS, 8 (1), pp. 99273 – 99285, 2020. (IF: 4.098, W-cat).
9	I. Mustafa, H. Mustafa, S. Aslam, S. M. Mohsin, and M. B. Qureshi, “Noise Free Fully Homomorphic Encryption Scheme over Non-associative Algebra”, IEEE ACCESS, 8, pp. 136524 – 136536, 2020. (IF: 4.098, W-cat).
10	Aayesha, M. B. Qureshi, M. Afzaal, M. S. Qureshi, and M. Fayaz, “Machine Learning-based EEG Signals Classification Model for Epileptic Seizure Detection”, Multimedia Tools and Applications, 2021. https://doi.org/10.1007/s11042-021-10597-6 (IF: 2.313, W-cat)
11	H. Ali, M. S. Qureshi, M. Fayaz, A. A. Khan, M. Zakarya, and M. B. Qureshi, “An Energy and Performance Aware Scheduler for Real-time Tasks in Cloud Datacentres,” IEEE ACCESS, 8, pp. 161288 – 161303, 2020. (IF: 4.098, W-cat).
12	M. S. Qureshi, M. B. Qureshi, M. Fayaz, M. Zakarya, S. Aslam, and A. U. Shah, “Time and Cost Efficient Cloud Resource Allocation for Real-time Data-intensive Smart Systems”, Energies 2020, 13, 5706. (IF: 2.702, W-cat).
13	Aayesha, M. B. Qureshi, M. Afzaal, M. S. Qureshi, and J. Gwak, “Fuzzy-based Automatic Epileptic Seizure Detection Framework,” Computers, Materials & Continua, 70 (3), pp. 5601 – 5629, 2021. (IF: 3.772, W-cat)
14	M. Fayaz, N. Torokeldiev, S. Turdumamatov, M. S. Qureshi, M. B. Qureshi, and J. Gwak, “An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network,” Sensors, 21 (22): 7480, pp. 2 – 20, 2021. (IF: 3.576, W-cat)
15	Muhammad Fayaz, Muhammad Shuaib Qureshi, Ayman Aljarbouh, Karlygash Kussainova, Bermet Burkanova, Muhammad Bilal Qureshi, “An Improved Brain MRI Classification Methodology Based on Statistical Features and Machine Learning Algorithms,” Computational and Mathematical Methods in Medicine, 2021. (IF: 2.238, W-cat) (Accepted).
16	M. S. Qureshi, M. B. Qureshi, A. Raza, N. Qayyum, and A. Shah, ‘Prediction-based Resource Allocation Model for Real-time Tasks,” IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS’18), Bangkok Thailand, Nov 22-23, pp. 1-6, 2018
17	H. Hussain, M. B. Qureshi, M. Shoaib, and S. Shah, “Load Balancing through Task Shifting and Task Splitting Strategies in Multi-core Environment,” IEEE 8th International Conference on Digital Information Management (ICDIM’13), Islamabad Pakistan, pp. 385-390, 2013.
18	M. B. Qureshi, and M. S. Qureshi, “Analysis of Knowledge Management Tools,” Proceedings of 9th Annual IBER & TLC Conference, Las Vegas, Nevada, USA, October 2009.
19	S. M. Mohsin, N. Ashraf, S. Aslam, H. K. Qureshi, I. Mustafa, M. A. Cheema, M. B. Qureshi, "A Cost Efficient Fair Pricing Scheme for Low Energy Consumers of Networked Smart Cities," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, pp. 1-5, 2020.
20	I. Mustafa, S. Aslam, M. B. Qureshi, N. Ashraf, S. Aslam, S. M. Mohsin, H. Mustafa, “RL-MADP: Reinforcement Learning-based Misdirection Attack Prevention Technique for WSN ”, IEEE 16th International Wireless Communications and Mobile Computing Conference (IWCMC 2020), Limassol, Cyprus, June 15-19, pp. 721-726, 2020.
21	1. M. S. Qureshi, M. B. Qureshi, and H. Hussain, “Traffic Load Balancing based on Routing Algorithms for Content Centric Networking,” Chapter 8, in Advanced Security Issues of IoT based 5G Plus Wireless Communication for Industry 4.0, Nova Science Publishers, INC, USA, ISBN: 978-1-53615-538-9, pp. 145-163, 2019.