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Muhammad Fayyaz

Muhammad Fayyaz

Associate Professor
  • Department of Computer Science
  • m.fayyaz@nu.edu.pk
  • (041) 111-128-128
  • Ext: 160

Introduction

  • Experience:
  • Interests:
  • Date of Joining:
  • Number of Students Supervised (BS/MS/PhD):
  • H-Index:
  • Google Scholar Citations:
  • 17
  • Computer Vision, Pedestrian Analysis, Image Analytics, NLP, Machine/Deep Learning
  • 21/01/2022
  • 11
  • 9
  • 370

Dr. Muhammad Fayyaz is currently serving as an Associate Professor and Head at the Department of Computer Science, FAST – National University of Computer and Emerging Sciences (NUCES), CFD Campus, Pakistan. His responsibilities encompass overseeing the overall functioning of the department, teaching at the undergraduate/graduate level, research work, thesis/FYP supervision/evaluation, student guidance/counseling, administrative activities, chair (Gender Equity, Inclusion and Anti-Harassment) committee, organizing co-chair (ICIT Pakistan 2022-2024, 2026), and member of TPC (INMIC, ICIT, ICET, IBCAST, and FIT conferences, Pakistan), and co/extracurricular activities at the university level. Before this role, he served as an Assistant Professor at the same department from January 2022 to December 2024. Before joining FAST-NUCES, he worked as a Lecturer at the Department of Computer Science, COMSATS University Islamabad (CUI), Wah Campus, Pakistan, from September 2014 to January 2022. During his stay at CUI, he has been fulfilling several academic and administrative duties such as a member of various administrative committees (proposal/FYP project internal evaluation, scrutiny, Visio Spark, COVID rapid action force, open house & job fair), FYP undergraduate head (CS), responsible/member of the session management committee (FIT Conference) and many other events, along with teaching and research. Before transitioning into higher education, he served as a Secondary School Teacher (Computer Science) in the Punjab Education Department, Sargodha District, from September 2009 to August 2014. His overall teaching and research job experience at secondary school, undergraduate, and graduate levels spans 16 years. Dr. Fayyaz received his Ph.D. in Computer Science in September 2021 from COMSATS University Islamabad, Pakistan. He remained a very active research member in Pedestrian Analysis, Computer Vision, Pattern Recognition, Natural Language Processing, and Deep Learning. Overall, he has published impact factor papers in journals of international repute with a cumulative impact factor of 65+, and a few articles are under review. He also leads a Machine Vision and Intelligent Systems (MVIS) research group at FAST NUCES CFD Campus. His areas of interest are digital/medical image processing, machine learning/deep learning, computer vision, and natural language processing. He has supervised/co-supervised 11 MSCS students and more than 50+ R&D projects for BSCS/BSSE/BSAI/MCS students. He is a reviewer for several prestigious journals and conferences. He remained an active member of administrative and managerial committees, along with teaching and research activities. His objectives are (1) to improve students’ behavior and instill in students an intrinsic motivation to learn, and (2) to pursue a career in a progressive organization that opens new vistas of broadening knowledge and pursuing the zenith of professionalism in teaching and research.

Education

Ph.D. (Computer Science), COMSATS University Islamabad, Pakistan (2021)

Masters (Education), University of Sargodha, Sargodha (2015) [Gold Medalist]

MS (Computer Science), University of Sargodha, Sargodha (2014) [Second Position]

Bachelors (Education), University of Sargodha, Sargodha (2012)

Masters (Computer Science), University of Sargodha, Sargodha (2007)

Bachelors (Computer Science), AIOU, Islamabad (2003)

Publications

Journals Publications

  1. Khalid Hussain, Mohammed A. Alnafea, M Iqbal Saripan, Djelloul Mahboub, Muhammad Fayyaz, Ahmad Khan. “Three-dimensional Coded Aperture Imaging System Proposed for Early Breast Cancer Detection Using low Tumor-to-Background Ratio” PeerJ [IF 2.9, Q2]
  2. Asif Ameer, Maryam Bashir, Irfan Younas, Muhammad Fayyaz.” Model-free Surrogate Predictor to Evolve variable-length block based Neural Architecture Search for image Classification” (2026). Expert Systems With Applications [IF 9.4, Q1]
  3. Muhammad Waleed Zaffer, Muhammad Fayyaz, Qamar Uz Zaman, Mana Saleh Al Reshan, Ali Alqazzaze, and Asadullah Shaikh. “A Representation-Aware Three-Stage Framework for Pedestrian Pose Estimation Using Hybrid Features and Fine-Tuned Deep Models” (2026) Expert Systems With Applications [IF 9.4, Q1]
  4. Mian Muhammad Talha, Hikmat Ullah Khan, Muhammad Fayyaz, Ali Alqazzaz, Asadullah Shaikh. “Revisiting Deep Learning Models with Click-Through Rate Feedback in News Recommender Systems” (2025). Concurrency and Computation: Practice and Experience [IF 2.2, Q3]
  5. Marryam Murtaza, Muhammad Fayyaz, Mussarat Yasmin, Muhammad Anwar, Kashif Naseer Qureshi, Usman Ahmed Raza” A large-scale dataset and robust multi-feature representation with maximum correlation-based feature fusion and matching for apparel image retrieval” Expert Systems (2025). [IF 3.4, Q2]
  6. Shaista Khanam, Muhammad Sharif, Mudassar Raza, Waqar Ishaq, Muhammad Fayyaz, Seifedine Kadry* “Anomaly Recognition in Surveillance Based on Feature Optimizer Using Deep Learning” PLOS ONE, 20(5), e0313692 (2025). [IF 2.8, Q2]
  7. Muhammad Ramzan, Adnan Abid, Muhammad Fayyaz, Tahani Jaser Alahmadi*, Haitham Nobanee, and Amjad Rehman” A novel hybrid approach for driver drowsiness detection using a custom deep learning model.” IEEE Access (2024). [IF 4.2, Q2]
  8. Mian Muhammad Talha, Hikmat Ullah Khan, Saqib Iqbal, Mohammed Alghobiri, Tassawar Iqbal, Muhammad Fayyaz. “Deep Learning in News Recommender Systems: A Comprehensive Survey, Challenges and Future Trends” Neurocomputing 126881, (2023). [IF 6.7, Q1]
  9. Farhat Abbas, Mussarat Yasmin, Muhammad Fayyaz, Usman Asim. “ViT-PGC: Vision Transformer for Pedestrian Gender Classification on Small-Size Dataset” Pattern Analysis and Applications, 1-15, (2023). [IF 2.6, Q3]
  10. Muhammad Fayyaz*, Mussarat Yasmin, Muhammad Sharif, Tasswar Iqbal, Mudassar Raza, Muhammad Imran Babar. “Pedestrian gender classification on imbalanced and small datasets using fusion of deep and traditional features.”Neural Computing and Applications 1-32 (2023). [IF 4.5, Q1]
  11. Marryam Murtaza, Muhammad Sharif, Mussarat Yasmin, Muhammad Fayyaz, Seifedine Kadry, Mi Young Lee “Clothes Retrieval using M-AlexNet with Mish Function and Feature Selection using Joint Shannon’s Entropy Pearson’s Correlation Coefficient (JSE-PCC)” IEEE Access 10, 115469-115490 (2022). [IF 3.6, Q2]
  12. Farhat Abbas, Mussarat Yasmin, Muhammad Fayyaz, Mohamed Abd Elaziz*, Songfeng Lu*, Ahmed A. Abd El-Latif. “Gender Classification using Proposed CNN-based Model and Ant Colony Optimization.” Mathematics 9(19), 2499(2021). [IF 2.3, Q2]
  13. Muhammad Fayyaz*, Mussarat Yasmin, Muhammad Sharif, and Mudassar Raza. “J-LDFR: joint low-level and deep neural network feature representations for pedestrian gender classification.” Neural Computing and Applications33 (2021): 361-391. [IF 4.5, Q1]
  14. Muhammad Pervez Akhtar*, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, and Muhammad Fayyaz. “Exploring deep learning approaches for Urdu text classification in product manufacturing.” Enterprise Information Systems volume 16, issue 2, 2020. [IF 3.6, Q2]
  15. Muhammad Fayyaz, Mussarat Yasmin, Muhammad Sharif, Jamal Hussain Shah*, Mudassar Raza, and Tassawar Iqbal. “Person re-identification with features-based clustering and deep features.”  Neural Computing and Applications 32, no. 14 (2020): 10519-10540. [IF 4.5, Q1]

Conference/Congress Publication

  1. Tayyaba Noor, Sabeeha Fatima, Muzamil Ahmed, Malik Ali Shahid, Muhammad Fayyaz, Abdul Rafay. ” A Deep Learning Model for Detecting Fake News on Social Media Using Sentence Embeddings and Transformers.” IEEE conference ICECT (2026). [Best Paper Award]
  2. Ahmad Ali Tabassam, Muhammad Shahzad Sarfraz, Saad Rafiq, Muhammad Fayyaz. “Remote Sensing and AI-Driven Sustainable Cotton Farming for a Resilient Future”. International Archives of the Photogrammetry, RemoteSensing and Spatial Information Sciences – XXV ISPRS Congress, Toronto, Canada, July 4-11, 2026.

Collaborations at National and International Level

[International Level]

  • I am doing collaborative research work with Prof. Dr. Asadullah Shaikh, Najran University, KSA; and Dr. Muhammad Imran Babar, Assistant Professor, University of Southampton, Malaysia. Our focus is on deep learning-based and vision transformer-based models for classification and recognition tasks, including feature engineering.

[National Level]

  • I am actively collaborating with Prof. Dr. Mussarat Yasmin and Prof. Dr. Tassawar Iqbal from Department of Computer Science, COMSATS University Islamabad (CUI), Pakistan, and Prof. Dr. Mudassar Raza from Namal University, Mianwali, Pakistan. Their research partnership focuses on advancing deep learning, computer vision, image analytics, and information retrieval, aiming to develop innovative solutions with significant real-world impact.
  • I am also collaborating with Prof. Dr. Hikmat Ullah Khan from University of Wah, Pakistan, Dr. Muhammad Ramzan from the Faculty of Computing and Information Technology, University of Sargodha, Pakistan, and Dr. Muzammil Ahmad from Namal University, Mianwali, Pakistan. Their joint research explores advanced deep learning models for social data analytics and driver drowsiness detection, aiming to develop innovative solutions with real-world applications.

Detail of Funded Projects

  1. Research project Title” Pose-Based Pedestrian Orientation Analysis Using Machine/Deep Learning Techniques” funded by ORIC FAST NUCES, Pakistan, (2023-24). Amount 7,00,000/- PKR

[Completed]

  1. Research project Title” Assistive Technology for Elderly People with Dementia” funded by ORIC FAST NUCES, Pakistan, (2023-24). Amount 8,40,000/- PKR [Completed]
  2. At undergraduate level, he has worked on National Grassroot ICT Research Initiative (NGIRI) funded project named Water and Land Garbage Cleaner, at CUI, Wah Campus, Pakistan, during 2017-18, Amount 28,650/- PKR [Completed]