Faculty Profile

Dr. Kashif Munir (HOD)
Assistant Professor
PhD in Informatics

I have been involved in higher education since 2002. I began my teaching career at Binary College, Malaysia, where I taught for one semester, followed by four years at Stamford College, Malaysia. In 2006, I relocated to Saudi Arabia to join King Fahd University of Petroleum and Minerals (KFUPM), where I worked until December 2014. In January 2015, I moved to the University of Hafr Al-Batin, KSA, and in July 2021, I became an Assistant Professor in the IT Department at Khwaja Farid University of Engineering & IT, Rahim Yar Khan.

I hold a BSc in Mathematics and Physics from Islamia University Bahawalpur, Pakistan (1999), an MSc in Information Technology from Universiti Sains Malaysia (2001), and an MS in Software Engineering from the University of Malaya, Malaysia (2005). In 2015, I completed my PhD in Informatics from the Malaysia University of Science and Technology. I have authored journal papers, conference papers, books, and book chapters and served on technical program committees for various peer-reviewed conferences and journals, reviewing numerous research papers. My research interests include Cloud Computing Security, Software Engineering, and Project Management.

International Journal 
  1. M. Usama, K. Munir, A. Raza, & M. Almutairi, (2024). “Novel Artificial Intelligence Assisted Landsat-8 Imagery Analysis for Mango Orchard Detection and Area Mapping”, PLOS ONE 19(6): e0304450. https://doi.org/10.1371/journal.pone.0304450. (IF =2.9)
  2. A. Ishtiaq, K. Munir, A. Raza, N. A. Samee, M.M. Jamjoom & Z. Ullah (2024), “Product Helpfulness Detection with Novel Transformer Based BERT Embedding and Class Probability Features”. IEEE Access, DOI: 10.1109/ACCESS.2024.3390605, Electronic ISSN: 2169-3536. (IF = 3.476) 
  3. M. Asad, K. Munir, A. Raza, N. A. Samee, M.M. Jamjoom & Z. Ullah (2024), “Novel Transformer Based Contextualized Embedding and Probabilistic Features for Depression Detection from Social Media”. IEEE Access, DOI: 10.1109/ACCESS.2024.3387695, Electronic ISSN: 2169-3536. (IF = 3.476)
  4. M. Adeel, M. Amjad, K. Munir, HUR. Siddique, & A. Delia (2024), “IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning,”. IEEE Access, DOI: 10.1109/ACCESS.2024.3387695, Electronic ISSN: 2169-3536. (IF = 3.476) 
  5. A. Naseer, M. Amjad, A. Raza, K. Munir, N. A. Samee & M. A. Alohali (2024), “A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages”. IEEE Access, DOI: 10.1109/ACCESS.2024.3365356, Electronic ISSN: 2169-3536. (IF = 3.476)
  6. Raza, K. Munir, M. Almutairi & R. Sehar (2024), “Novel Transfer Learning Based Deep Features for Diagnosis of Down Syndrome in Children Using Facial Images”. IEEE Access, DOI: 10.1109/ACCESS.2024.3359235, Electronic ISSN: 2169-3536. (IF = 3.476)
  7. S. Aziz, K. Munir, A. Raza, M. Almutairi & S. Nawaz (2023), “IVNet: Transfer Learning Based Diagnosis of Breast Cancer Grading Using Histopathological Images of Infected Cells”. IEEE Access, DOI: 10.1109/ACCESS.2023.3332541, Electronic ISSN: 2169-3536. (IF = 3.476)
  8. Raza, K. Munir, M. Almutairi & R. Sehar (2023), “Novel Class Probability Features for Optimizing Network Attack Detection with Machine Learning”. IEEE Access, DOI: 10.1109/ACCESS.2023.3313596, Electronic ISSN: 2169-3536. (IF = 3.476)
  9. A. Qadri, A. Raza, K. Munir, & M. Almutairi (2023), “Effective Feature Engineering Technique for Heart Disease Prediction with Machine Learning”. IEEE Access, DOI: 10.1109/ACCESS.2023.3281484, Electronic ISSN: 2169-3536. (IF = 3.476) 
  10.  A. Raza, H. Rahman, K. Munir, M. Almutairi, F. Rustam & I. Ashraf (2022). “Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction”, PLOS ONE Journal, https://doi.org/10.1371/journal.pone.0276525. (IF = 3.752)
  11. A. Raza, K. Munir, M. Almutairi, F. Younas, M. Sadiq & A. Gulnaz (2022). “A Novel Approach to Classify Telescopic Sensors Data Using Bidirectional-Gated Recurrent Neural Networks”, MDPI Applied Sciences, https://doi.org/10.3390/app122010268. (IF = 2.838) 
  12.  H. Rahman, A. Saleem, M. Amjad, K. Zafar, K. Munir, & S. Dudley (2022), “IoT based Railway Track Faults Detection and Localization Using Acoustic Analysis”. IEEE Access, DOI: 10.1109/ACCESS.2022.3210326, Electronic ISSN: 2169-3536. (IF = 3.476) 
  13.  R. Chaganti, R. V. Boppana, V. Ravi, K. Munir, M. Almutairi, F. Rustam, E. Lee & I. Ashraf (2022), “A Comprehensive Review of Denial-of-Service Attacks in Blockchain Ecosystem and Open Challenges”. IEEE Access, DOI: 10.1109/ACCESS.2022.3205019, Electronic ISSN: 2169-3536. (IF = 3.476) 
  14. A. Raza, K. Munir, M. Almutairi (2022). “A Novel Deep Learning Approach for Deepfake Image Detection”, MDPI Applied Sciences, https://doi.org/10.3390/app12199820. (IF = 2.838)
  15. S. Nasim, M. Almutairi, K. Munir, A. Raza, & F. Younas (2022). “A Novel Approach for Polycystic Ovary Syndrome Prediction Using Machine Learning in Bioinformatics”. IEEE Access, DOI: 10.1109/ACCESS.2022.3205587, Electronic ISSN: 2169-3536. (IF = 3.476)
  16. M. Zeeshan, Q. Su, M. Almutairi, K. Munir & M. Sadiq (2022). “Transformational Leadership and Project Success: The mediating role of Trust and Job Satisfaction”, Frontiers in Psychology, https://www.frontiersin.org/articles/10.3389/fpsyg.2022.954052/abstract doi: 10.3389/fpsyg.2022.954052. (IF = 2.99)
  17. R. Al-Amri, R. Murugesan, M. Almutairi, K. Munir, G. AlKawsi, & Y. Baashar (2022). “A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube”, MDPI Applied Sciences, https://doi.org/10.3390/app12136523. (IF = 2.679)
  18. A. Raza, K. Munir, M. Almutairi, F. Younus, & M. Sadiq (2022). “Predicting Employee Attrition Using Machine Learning Approaches”, MDPI Applied Sciences, https://doi.org/10.3390/app12136424. (IF = 2.679)
  19. 19. F. Rustam, A. Ishaq, K. Munir, M. Almutairi, N. Aslam, & I. Ashraf (2022). “Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction”, MDPI Diagnostics, https://doi.org/10.3390/diagnostics12061474. (IF = 3.7)
  20. F. Mushtaq, M. Sadiq, M. Almutairi, S. Ullah, A. Gulnaz & K. Munir (2022). “Analyses of Public Attention and Sentiments towards Different COVID-19 Vaccines Using Data Mining Techniques”, MDPI Vaccine, DOI: 10.3390/vaccines10050661. (IF = 4.0)

International Conferences

  1. Kashif Munir (2015). “Security Model for Cloud Database as a Service (DBaaS) ”Source: IEEE Proceedings of the International Conference on Cloud Computing Technologies and Applications (CLOUDTECH 2015), June 2015. pp. 1-5, ISBN: 978-1 4673-8148-2
  2. Kashif Munir, Sellapan Palaniappan (2014). “Simple Authentication Process for Cloud User ” Source: IEEE Proceedings of the 3rd International Conference on Multimedia Computing and Systems (ICMCS’14),April 2014.pp. 1175-1181,ISBN: 978-1-4799 3823-0  

Books

  1. Advancing Consumer-Centric Fog Computing Architectures (2018). Edited by Kashif Munir, IGI Global Publishing. ISBN13: 9781522571490
  2. Cloud Computing Technologies for Green Enterprises (2017). Edited by Kashif Munir, IGI Global Publishing. ISBN 13: 9781522530381
  3. Security Management in Mobile Cloud Computing (2016). Edited by Kashif Munir, IGI Global Publishing. ISBN13: 9781522506027 Indexed by SCOPUS
  4. Handbook of Research on Security Considerations in Cloud Computing (2015). Edited by. Kashif Munir, Mubarak Al-Mutairi, and Lawan A. Mohammad, IGI Global Publishing. ISBN: 9781466683877. Indexed by SCOPUS, ACM DL Library 

  • Machine Learning
  • Deep Learning
  • Software Engineering (Human Computer Interaction) 
  • Cloud Computing Security

  • ABET Team Leader for accreditation CSET Degree program at KFUPM HBCC Campus, Saudi Arabia

Editor in Chief - International Journal of Fog Computing (IJFC) – 

Associate Editor -  IEEE Access