Dr. M. Hasan Jamal
Tenured Associate Professor, Computer Science
Area of Interest: Parallel Computing, Scientific Computing, Algorithm Optimization, Performance Engineering
Tel # (Off): 111-001-007   (141)
HEC approved PhD Supervisor

Dr. Muhammad Hasan Jamal received the bachelor's degree in Computer and Information Engineering from International Islamic University Malaysia (IIUM) in 2005, a Masters degree in Computer Engineering from the University of Engineering and Technology (UET), Lahore, Pakistan in 2008, and a Ph.D. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, USA, in 2015. He was a recipient of the Fulbright Scholarship for his Ph.D. studies.

From 2006 to 2010, Dr. Hasan worked as a Research Associate and Senior Research Associate with Al-Khawarizmi Institute of Computer Science, UET, Lahore. He was a Graduate Technical Summer Intern at Sandia National Laboratory, Albuquerque, NM, USA, in the summer of 2015. Since 2016, he has been an Assistant Professor with the Department of Computer Science, COMSATS University Islamabad (Lahore Campus) Pakistan. His research interests include parallel and distributed systems, performance engineering, and scientific computing. 

Teaching Resources

Google Scholar Profile

 

Publications:

Journal Papers:
1. Amna Altaf, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa, and Sadaf Rani (2024), "Aspect-based sentiment analysis in Urdu language: resource creation and evaluation", Neural Computing and Applications, DOI: https://doi.org/10.1007/s00521-024-10145-x, Impact Factor: 4.5    (External URL)
2. Imran Raza, Muhammad Hasan Jamal, Rizwan Qureshi, Abdul Karim Shahid, Angel Olider Rojas Vistorte, Md Abdus Samad & Imran Ashraf (2024), "Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis", Scientific Reports, pp: 1-13, Vol: 14, ISSN: 2045-2322, DOI: https://doi.org/10.1038/s41598-024-57547-4, Impact Factor: 4.6    (External URL)
3. Rimsha Anam, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa, Isabel de la Torre Diez, Eduardo Silva Alvarado, Emmanuel Soriano Flores, Imran Ashraf (2024), "A deep learning approach for Named Entity Recognition in Urdu language", PLOS ONE, pp: 1-21, Vol: 19, Issue: 3, DOI: https://doi.org/10.1371/journal.pone.0300725, Impact Factor: 3.752    (External URL)
4. Sohaib Bin Khalid Alvi, Muhammad Ziad Nayyer, Muhammad Hasan Jamal, Imran Raza, Isabel De La Torre Diez, Carmen Lili Rodriguez Velasco, Jose Manuel Brenosa, Imran Ashraf (2023), "A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation", Digital Health, pp: 1-12, Vol: 9, ISSN: 2055-2076, DOI: https://doi.org/10.1177/205520762312036, Impact Factor: 3.9    (External URL)
5. Romila Aziz, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa, Ángel Kuc Castilla, Carlos Uc Rios, Ernesto Bautista Thompson, Imran Ashraf (2023), "Real Word Spelling Error Detection and Correction for Urdu Language", IEEE Access, pp: 100948-100962, Vol: 11, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2023.3312730, Impact Factor: 3.9    (External URL)
6. Farooq Ahmad, Muhammad Tayyab Chaudhry, Muhammad Hasan Jamal, Muhammad Amar Sohail, Daniel Gavilanes, Manuel Masias Vergara, Imran Ashraf (2023), "Formal modeling and analysis of security schemes of RPL protocol using colored Petri nets", PLOS ONE, Vol: 18, Issue: 8, DOI: https://doi.org/10.1371/journal.pone.0285700, Impact Factor: 3.752    (External URL)
7. Amna Altaf; Muhammad Waqas Anwar; M. Hasan Jamal; Usama Ijaz Bajwa; (2023), "Exploiting Linguistic Features for Effective Sentence-Level Sentiment Analysis in Urdu Language", Multimedia Tools and Applications, ISSN: 1573-7721, DOI: https://doi.org/10.1007/s11042-023-15216-0, Impact Factor: 2.577    (External URL)
8. Haseeb Rehman Khan; Zeeshan Gillani; Muhammad Hasan Jamal; Atifa Athar; Muhammad Tayyab Chaudhry; Haoyu Chao; Yong He; and Ming Chen (2023), "Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery", Sensors, pp: 1-16, Vol: 23, Issue: 4, ISSN: 1424-8220, DOI: https://doi.org/10.3390/s23041779, Impact Factor: 3.847    (External URL)
9. Rabab Hafeez, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Tayyaba Fatima, Julio César Martínez Espinosa, Luis Alonso Dzul López, Ernesto Bautista Thompson and Imran Ashraf (2023), "Contextual Urdu Lemmatization Using Recurrent Neural Network Models", Mathematics, Vol: 11, Issue: 2, DOI: https://doi.org/10.3390/math11020435, Impact Factor: 2.592    (External URL)
10. Shuja Akbar, Muhammad Mohsin Mehdi, M. Hasan Jamal, Imran Raza, Syed Asad Hussain, Jose Breñosa, Julio César Martínez Espinosa, Alina Eugenia Pascual Barrera, Imran Ashraf (2022), "Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring", Healthcare, pp: 1-13, Vol: 10, Issue: 11, ISSN: 2227-9032, Impact Factor: 3.16    (External URL)
11. Sajjad Ahmad, Imran Raza, M. Hasan Jamal, Sirojiddin Djuraev, Soojung Hur, Imran Ashraf (2022), "Central Aggregator Intrusion Detection System for Denial of Service Attacks", Computers, Materials & Continua, pp: 2363–2377, Vol: 74, Issue: 2, ISSN: 1546-2218, DOI: https://doi.org/10.32604/cmc.2023.032694, Impact Factor: 3.86    (External URL)
12. Sana Latif; Muhammad Ziad Nayyer; Imran Raza; Syed Asad Hussain; M. Hasan Jamal; Soojung Hur; Imran Ashraf (2022), "Cloudlet Federation based Context-Aware Federated Learning Approach for COVID-19 Detection", IEEE Access, pp: 109153-109166, Vol: 10, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3212550, Impact Factor: 3.557    (External URL)
13. Amna Altaf; Muhammad Waqas Anwar; M. Hasan Jamal; Sana Hassan; Usama Ijaz Bajwa; Gyu Sang Choi; Imran Ashraf (2022), "Deep Learning based Cross Domain Sentiment Classification for Urdu Language", IEEE Access, pp: 102135-102147, Vol: 10, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3208164, Impact Factor: 3.557    (External URL)
14. Muhammad Ziad Nayyer, Imran Raza, Syed Asad Hussain, M. Hasan Jamal, Zeeshan Gillani, Soojung Hur and Imran Ashraf (2022), "LBRO: Load Balancing for Resource Optimization in Edge Computing", IEEE Access, pp: 97439-97449, Vol: 10, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2022.3205741, Impact Factor: 3.557    (External URL)
15. Rehan Raza, Usama Ijaz Bajwa, Yasar Mehmood, Muhammad Waqas Anwar, and M. Hasan Jamal (2022), "dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI", Biomedical Signal Processing and Control, pp: 103861, ISSN: 1746-8094, DOI: https://doi.org/10.1016/j.bspc.2022.103861, Impact Factor: 3.88    (External URL)
16. M. Hasan Jamal, M. Tayyab Chaudhry, Usama Tahir, Furqan Rustam, Soojung Hur, and Imran Ashraf (2022), "Hotspot-Aware Workload Scheduling and Server Placement for Heterogeneous Cloud Data Centers", Energies, Vol: 15, Issue: 7, ISSN: 1996-1073, DOI: 10.3390/en15072541, Impact Factor: 3.004    (External URL)
17. Tayyaba Fatima, Raees Ul Islam, Muhammad Waqas Anwar, M Hasan Jamal, M Tayyab Chaudhry, Zeeshan Gillani (2022), "STEMUR: An Automated Word Conflation Algorithm for the Urdu Language", Transactions on Asian and Low-Resource Language Information Processing, pp: 1-20, Vol: 21, Issue: 2, DOI: https://doi.org/10.1145/3476226, Impact Factor: 1.413    (External URL)
18. Adnan Rafique, Muhammad Salman Khan, Muhammad Hasan Jamal, Mamoona Tasadduq, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf (2021), "Integrating Learning Analytics and Collaborative Learning for Improving Student’s Academic Performance", IEEE Access, pp: 167812-167826, Vol: 9, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2021.3135309, Impact Factor: 3.367    (External URL)
19. Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal (2021), "Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains", Complexity, Vol: 2021, DOI: https://doi.org/10.1155/2021/1296755, Impact Factor: 2.833    (External URL)
20. Umar Draz, Sana Yasin, Tariq Ali, Amjad Ali, Zaid Bin Faheem, Ning Zhang, Muhammad Hasan Jamal, and Dong-Young Suh (2021), "ROBINA: Rotational Orbit-Based Inter-Node Adjustment for Acoustic Routing Path in the Internet of Underwater Things (IoUTs)", Sensors, pp: 5968, Vol: 21, Issue: 17, ISSN: 1424-8220, DOI: https://doi.org/10.3390/s21175968, Impact Factor: 3.576    (External URL)
21. Romila Aziz, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa (2021), "A hybrid model for spelling error detection and correction for Urdu language", Neural Computing and Applications, pp: 14707–14721, Vol: 33, ISSN: 0941-0643, DOI: https://doi.org/10.1007/s00521-021-06110-7, Impact Factor: 5.606    (External URL)
22. Mamoona Tasadduq, Muhammad Salman Khan, Rao Muhammad Adeel Nawab, Muhammad Hasan Jamal, Muhammad Tayyab Chaudhry (2021), "Exploring the effects of gamification on students with rote learning background while learning computer programming", Computer Applications in Engineering Education, pp: 1871-1891, Vol: 29, Issue: 6, ISSN: 1099-0542, DOI: https://doi.org/10.1002/cae.22428, Impact Factor: 1.532    (External URL)
23. Muhammad Tayyab Chaudhry; M. Hasan Jamal; Zeeshan Gillani; Muhammad Waqas Anwar; Muhammad Salman Khan (2020), "Thermal-benchmarking for cloud hosting green data centers", Sustainable Computing: Informatics and Systems, pp: 1-13, Vol: 25, DOI: https://doi.org/10.1016/j.suscom.2019.100357, Impact Factor: 4.028    (External URL)
24. M. Hasan Jamal, Arun Prakash, and, Milind Kulkarni (2017), "Exploiting Semantics of Temporal Multi-scale Methods to Optimize Multi-level Mesh Partitioning", International Journal for Numerical Methods in Engineering , pp: 58-85, Vol: 112, Issue: 1, ISSN: 1097-0207, DOI: https://doi.org/10.1002/nme.5506, Impact Factor: 3.477    (External URL)
Conference Papers:
1. Chenyang Liu, M. Hasan Jamal, Milind Kulkarni, Arun Prakash, and Vijay Pai (2013) "Exploiting Domain Knowledge to Optimize Parallel Computational Mechanics Codes", International Conference on Supercomputing (ICS)   
2. M. Hasan Jamal, Ghulam Mustafa, Waqar Mahmood, and Abdul Waheed (2009) "An Extensible Infrastructure for Benchmarking Multi-Core Processor based Systems", International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)    
3. M. Hasan Jamal, Abdul Qadeer, Abdul Waheed, Jason Ding, and Waqar Mahmood (2009) "Virtual Machine Scalability on Multi-Core Processor based Servers for Cloud Computing Workloads", International Conference on Networking, Architecture, and Storage (NAS)    
4. M. Hasan Jamal, and Abdul Waheed (2008) "Precise Measurement of Execution Time of Concurrent, Symmetric, and Short Tasks", Computer Measurement Group (CMG)    

Qualification

PhD Electrical and Computer Engineering
Purdue University, USA
Aug 2010 to Dec 2015
   
MS Electrical Engineering
University of Engineering and Technology, Lahore, Pakistan
Nov 2006 to Dec 2008
   
BS Computer and Information Engineering
International Islamic University Malaysia, Malaysia
Nov 2001 to Nov 2005
   

Experience

Assistant Professor
COMSATS Institute of Information Technology, Lahore
Jun 2016 to Date
   
Graduate Technical Summer Intern
Sandia National Labs
May 2015 to Aug 2015
   
Senior Research Associate
Al-Khawarizmi Institute of Computer Science (KICS)
Sep 2009 to Jun 2010
   
Research Associate
Al-Khawarizmi Institute of Computer Science (KICS)
Jun 2006 to Aug 2009
   
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