Dr. Muhammad Khurram Zahur
Assistant Professor, Faculty of Computing
Basic Information
Dr. Muhammad Khurram Zahur Bajwa
Assistant Professor, Faculty of Computing
Lahore University of Biological and Applied Sciences (UBAS), Lahore.
Email: khurram.zahur@ubas.edu.pk
Personal Website: https://bajwakhurram.com
LinkedIn: https://www.linkedin.com/in/bajwa-khurram-phd-743779279
Google Scholar: https://scholar.google.com/citations?user=Qn-Nke0AAAAJ&hl=it&oi=ao
Profile Summary
Dr. Muhammad Khurram Zahur Bajwa is an experienced academic and researcher specializing in cyber intelligence, digital forensics, and deep learning. He completed his fully funded Ph.D. in Data Science, Accounting & Management at the University of Salerno with the highest distinction of ``OPTIMUM`` in 2026. His doctoral research concentrated on advanced methods for deepfake detection in audio streams, speech synthesis, and quantum audio processing. Dr. Bajwa has published extensively in reputable journals and conferences and was awarded the Best Workshop Paper at the IEEE AINA 2025 conference.
Qualification
| Degree | Field/Thesis | Institution | Year |
|---|---|---|---|
| PhD | Data Science | University of Salerno, Italy | 2026 |
| MSc | Digital Communications & Networks | London Metropolitan University, London, UK | 2006 |
| BSc | Computer Engineering | Eastern Mediterranean University, TRNC (Turkey) | 2000 |
Academic / Teaching Experience
- Principal Lecturer — University of Central Punjab, Faculty of Information Technology & Computer Science, Lahore, Pakistan — Sep 2022 – July 2026
- Assistant Professor — University of Lahore, Department of CS & IT, Lahore, Pakistan — Mar 2015 – Sep 2022
- Assistant Professor & Coordinator — University of Faisalabad, Faisalabad, Pakistan — Feb 2012 – Mar 2015
- Assistant Professor — Riphah International University, Islamabad, Pakistan — July 2010 – Aug 2011
Management Experience
- Department Coordinator, University of Faisalabad — Feb 2012 – Mar 2015
- Programme In-Charge (NCUK Programme) — Riphah International University — July 2010 – Aug 2011
Industry Experience
- Sound Engineer — DAB Colourful Radio, London, UK — Oct. 2007 – Sep. 2009 (Monitored and maintained professional audio systems, tested digital circuits, operated broadcast equipment)
- Systems Administrator — Government College University, Lahore, Pakistan — July 2000 – Dec 2003 (Managed campus network of 150-200 computers, contributed to Master's program design in Telecommunications)
Research Areas / Interests
- Information Security
- Machine Learning
- Artificial Intelligence
- Quantum Computing
- Medical Computing
Research Supervision
- Supervised BS Computer Science Final Year Projects (FYPs) at the University of Central Punjab (2022 – 2026)
- Supervised BS Computer Science Final Year Projects (FYPs) at the University of Lahore (2015 – 2022)
- Supervised BS Electrical Engineering Final Year Projects (FYPs) at the University of Faisalabad (2012 – 2015)
Research Funding / Grants
| Project / Grant Title | Funding Source | Amount | Year |
|---|---|---|---|
| Fully Funded Ph.D. Scholarship under PNRR (NextGenerationEU) Initiative | Italian Ministry of University and Research (MUR) | Full Funding | 2022 – 2025 |
| Post-Quantum Cryptography: Innovations for New Security Standards. the study aims to evaluate the performance and security of post-quantum cryptographic solutions on different devices, examining the integration of such new c https://web.unisa.it/ricerca/progetti-finanziati?progetto=63354 | University of Salerno | 5.561,10 euros | 25 November 2024 - 25 November 2027 |
Awards & Honors
- Best Workshop Paper @ AINA 2025 — IEEE Advanced Information Networking and Applications (AINA 2025)
- Ph.D. Scholarship under PNRR (NextGenerationEU) Initiative — Italian Ministry of University and Research (MUR) (2022)
- Doctoral Evaluation of 'OPTIMUM' (Highest Distinction) — University of Salerno, Italy (2026)
Invited Talks & Keynotes
- Faculty of Applied Health Sciences — “Clinical Audio Processing & Data Science” — Delivered a session on the applications of Artificial Intelligence, Data Science, and Deep Learning to clinical audio and healthcare data for intelligent monitoring and decision-making. The session also explored opportunities for interdisciplinary collaboration between Computing and Allied Health Sciences through research, student projects, and healthcare AI initiatives, Lahore University of Biological and Applied Sciences (UBAS), 2026.
- Faculty of Biological Sciences — “Data in Healthcare Practice” — Delivered a session highlighting the growing importance of healthcare data in modern healthcare systems, including data collection, management, analysis, visualization, and AI-driven insights to support clinical decision-making, improve healthcare services, enhance patient outcomes, and promote evidence-based practice, Lahore University of Biological and Applied Sciences (UBAS), 2026.
- Doctoral Research Presentation — Doctoral Summer School in Data Science, Accounting & Management, University of Salerno, Italy, 2024.
- Doctoral Research Presentation — Doctoral Summer School in Data Science, Accounting & Management, University of Salerno, Italy, 2023.
Trainings & Certifications
- Continuing Professional Development (CPD) on Signal Processing — University of Faisalabad
- Technical Workshops on Digital Broadcasting and Audio Technologies — DAB Colourful Radio / Broadcast Support Partners, UK
Membership of Professional Bodies
- Life Membership and registration number is PEC 1163
Professional & Institutional Service
- Session Chair — 25th Anniversary Edition of the International Conference on Control Systems and Computer Science (CSCS25), Bucharest, Romania, May 2025
- Organizing Team Member — 25th Anniversary Edition of the International Conference on Control Systems and Computer Science (CSCS25), Bucharest, Romania, May 2025
- Programme In-Charge for NCUK Programme — Riphah International University, Islamabad, Pakistan (2010 – 2011)
Journal Publications
| Sr. | Citation | Year |
|---|---|---|
| 01 | Deonise, C.-A., Coconu, T.-M., Bajwa, M.K.Z., Negru, C., Mocanu, B.-C., Castiglione, A., Pop, F. (2026). Speaker-attributed Meeting Transcription Refinement with Constrained Open-Weight Language Models. Future Generation Computer Systems, 185, 108648. | 2026 |
| 02 | Bajwa, M.K.Z., Hafeez, S., Alam, F., Khan, A. (2026). Design and Implementation of an Intelligent Unified Social Media Monitoring Framework: A Multimodal Generative AI Framework. Annual Methodological Archive Research Review, 4(6), pp. 138–178. | 2026 |
| 03 | Bajwa, M.K.Z., Hafeez, S., Alam, F., Khan, A. (2026). An AI-Driven Intelligent Network Optimization Framework Using Machine Learning and Deep Learning Techniques for Efficient Traffic Routing, Dynamic Resource Allocation, and Quality of Service Enhancement in Modern Computer Networks. Annual Methodological Archive Research Review, 4(4), pp. 169–188. | 2026 |
| 04 | M. K. Z. Bajwa. (2026). Transforming Teaching Systems in the Era of Artificial Intelligence: An Empirically Validated Multi-Stakeholder Framework for Intelligent Teaching System Design Integrating Deep Learning, NLP, and Learning Analytics. Annual Methodological Archive Research Review, 4(3), pp. 443–476. | 2026 |
| 05 | M. K. Z. Bajwa. (2025). Real-Time Financial Fraud Detection: An Intelligent Data-Driven Framework Integrating Machine Learning, Stream Processing, and Big Data Analytics for High-Velocity Transaction Monitoring. The Asian Bulletin of Big Data Management, 5(4), pp. 124–154. | 2025 |
| 06 | J. Khan, M. Atif, M. K. Z. Bajwa, M. S. Mahmood, and S. Usman. (2018). Formal Specification of Memory Coherence Protocol. International Journal of Advanced Computer Science and Applications (IJACSA), 9(8). | 2018 |
Conference Publications
| Sr. | Citation | Year |
|---|---|---|
| 01 | Bajwa, M.K.Z., Castiglione, A., Cimmino, L., Pero, C., Pop, F. (2026). QCNN: Quantum Convolutional Neural Networks for Audio Deepfake Detection. In: Barolli, L., K. G. Seah, W., Woungang, I. (eds), Advanced Information Networking and Applications. AINA 2026. Lecture Notes on Data Engineering and Communications Technologies, vol. 301. Springer, Cham. | 2026 |
| 02 | Bajwa, M.Z., Castiglione, A., Pero, C. (2025). Mel Spectrogram-Based CNN Framework for Explainable Audio Deepfake Detection. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2025. Lecture Notes on Data Engineering and Communications Technologies, vol 252. Springer, Cham. | 2025 |
| 03 | M. K. Zahur Bajwa, C. Negru, B.-C. Mocanu, A. Castiglione and C. Pero, "Near Real-Time Deepfake Audio Detection based on Speaker Diarization Techniques," 2025 25th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2025, pp. 412-419. | 2025 |
| 04 | L.-S. Pătraşcu, M. K. Z. Bajwa, C. Negru, B.-C. Mocanu, and F. Pop. (2025). Cloud-Edge Architecture for Audio Signal Classification Based on Mel Spectrograms. In Proceedings of the 2025 24th RoEduNet Conference: Networking in Education and Research (RoEduNet), Universitatea Tehnică a Moldovei, Chișinău, Republic of Moldova, September 17–20, pp. 1–6. IEEE. | 2025 |
Book Chapters
| Sr. | Citation | Year |
|---|---|---|
| 01 | M. K. Z. Bajwa and M. Arif. (2023). Road Lane Detection System. In Artificial Intelligence & Blockchain in Cyber-Physical Systems, 1st ed., CRC Press, pp. 1–22. | 2023 |
Languages & Interests
- Languages: English (Fluent), Urdu (Native), Punjabi (Native), Italian (Basic/Elementary)
- Interest: Travel
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