Prof. Dr. Mudassar Raza is a leading AI researcher and academician, serving as a Professor at Namal University, Mianwali, Pakistan. He is a Senior IEEE Member, Chair Publications of IEEE Islamabad Section, and an Academic Editor for PLOS ONE. With 20+ years of teaching and research experience, he has worked at HITEC University Taxila and COMSATS University Islamabad. His research spans AI, deep learning, image processing, and cybersecurity. He has published 135+ research papers with a cumulative impact factor of 215+, 6066+ citations, an H-index of 44, and an I-10 index of 93. He was listed in Elsevier’s World’s Top 2% Scientists (2023) and ranked #11 in Computer Science in Pakistan. Dr. Raza has supervised 3 PhDs, co-supervising 6 more, and mentored 100+ undergraduate R&D projects. He actively contributes to academia, industry collaborations, and curriculum development while serving as a reviewer for prestigious journals. 🌍📖
Profile
Education 🎓
- Ph.D. in Control Science & Engineering (2014-2017) – University of Science & Technology of China (USTC), China 🇨🇳
- Specialization: Pattern Recognition & Intelligent Systems
- MS (Computer Science) (2009-2010) – Iqra University, Islamabad, Pakistan 🇵🇰
- CGPA: 3.64 | Specialization: Image Processing
- MCS (Master of Computer Science) (2004-2006) – COMSATS Institute of Information Technology, Pakistan
- BCS (Bachelor in Computer Science) (1999-2003) – Punjab University, Lahore, Pakistan
- CGPA: 3.28 | 64.25% Marks
- Higher Secondary (Pre-Engineering) – Islamabad College for Boys
- Matriculation (Science) – Islamabad College for Boys
Dr. Raza’s academic journey is marked by top-tier universities and a strong focus on AI, pattern recognition, and cybersecurity. 🎓📚
Experience 👨🏫
- Professor (2024-Present) – Namal University, Mianwali
- Teaching AI, Cybersecurity, and Research Supervision
- Associate Professor/Head AI & Cybersecurity Program (2023-2024) – HITEC University, Taxila
- Led AI & Cybersecurity programs, supervised PhDs, and organized industry-academic collaborations
- Associate Professor (2023) – COMSATS University, Islamabad
- Assistant Professor (2012-2023) – COMSATS University, Islamabad
- Lecturer (2008-2012) – COMSATS University, Islamabad
- Research Associate (2006-2008) – COMSATS University, Islamabad
Dr. Raza has 20+ years of experience in academia, R&D, and industry collaborations, contributing significantly to AI, deep learning, and cybersecurity. 🏫📊
Research Interests 🔬
Prof. Dr. Mudassar Raza’s research revolves around Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Cybersecurity, and Parallel Programming. His work includes pattern recognition, intelligent systems, visual robotics, and AI-driven cybersecurity solutions. With 135+ international publications, he has significantly contributed to AI’s real-world applications. His research impact includes 6066+ citations, an H-index of 44, and an I-10 index of 93. He leads multiple AI research groups, supervises PhD/MS students, and actively collaborates with industry and academia. His work is frequently cited, placing him among the top AI researchers globally. As an IEEE Senior Member and a PLOS ONE Academic Editor, he is a key figure in AI-driven innovations and technology advancements. 🧠📊
- National Youth Award 2008 by the Prime Minister of Pakistan for contributions to Computer Science 🎖️
- Listed in World’s Top 2% Scientists (2023) by Elsevier 🌍
- Ranked #11 in Computer Science in Pakistan by AD Scientific Index 📊
- Senior IEEE Member (ID: 91289691) 🔬
- HEC Approved PhD Supervisor 🎓
- Best Research Productivity Awardee at COMSATS University multiple times 🏆
- Recognized by ResearchGate with a Research Interest Score higher than 97% of members 📈
- Reviewer & Editor for prestigious journals including PLOS ONE 📝
Dr. Raza has received numerous accolades for his contributions to AI, research excellence, and academia. 🌟
Publications 📚
- Brain tumor detection using statistical and machine learning method
J Amin, M Sharif, M Raza, T Saba, MA Anjum
Computer Methods and Programs in Biomedicine 177, 69-79
- A decision support system for multimodal brain tumor classification using deep learning
KAMR Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein
Complex & Intelligent Systems
- A Survey of Password Attacks and Comparative Analysis on Methods for Secure Authentication
M Raza, M Iqbal, M Sharif, W Haider
World Applied Sciences Journal 19 (4), 439-444
- An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
M Sharif, J Amin, M Raza, M Yasmin, SC Satapathy
Pattern Recognition Letters 129, 150-157
- A Survey on Medical Image Segmentation
S Masood, M Sharif, A Masood, M Yasmin, M Raza
Current Medical Imaging Reviews 11 (1), 3-14
- Brain tumor detection: a long short-term memory (LSTM)-based learning model
J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad
Neural Computing and Applications 32, 15965-15973
- Brain tumor detection by using stacked autoencoders in deep learning
J Amin, M Sharif, N Gul, M Raza, MA Anjum, MW Nisar, SAC Bukhari
Journal of medical systems 44 (2), 1-12
- Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
M Sharif, T Akram, M Raza, T Saba, A Rehman
Applied Soft Computing, 105986
- Detection of Brain Tumor based on Features Fusion and Machine Learning
J Amin, M Sharif, M Raza, M Yasmin
Journal of Ambient Intelligence and Humanized Computing, 1-17
- Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
MA Khan, MI Sharif, M Raza, A Anjum, T Saba, SA Shad
Expert Systems
- Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
TB Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, Mudassar Raza,Muhammad …
Applied Sciences 10 (4966)