PhD Student at University Sains Malaysia | Malaysia
Imran Riaz is an accomplished researcher and academic with expertise in biometrics, image processing, machine learning, medical image analysis, and pattern recognition. He has made significant contributions to the advancement of biometric security systems and medical imaging techniques through impactful publications and international collaborations. His research is supported by industrial projects focusing on cybersecurity applications, such as presentation attack detection and face spoofing detection. In addition to his research, he has demonstrated leadership in academia through teaching undergraduate and postgraduate courses, supervising student projects, and serving as a focal person for artificial intelligence initiatives at his institution. He has actively engaged with the research community as a reviewer for reputable journals and as a member of international professional bodies. His involvement in student leadership, voluntary organizations, and technical workshops reflects a strong balance of professional dedication and community service, establishing him as a well-rounded and forward-looking researcher.
Professional Profiles
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Education
Imran Riaz has pursued a comprehensive academic journey in the field of electrical engineering with a focus on advanced computing and biometrics. He is currently completing his PhD in Electrical Engineering at Universiti Sains Malaysia, where he has worked on projects related to multimodal biometric recognition systems and medical image analysis. His doctoral research has been supported by scholarships and has involved both academic and industrial applications, particularly in the areas of cybersecurity and biometric authentication. Prior to his PhD, he earned a Master of Science in Electrical Engineering from Mirpur University of Science and Technology, where he achieved a high academic standing with a strong focus on digital signal processing and image processing techniques. He began his academic path with a Bachelor of Science in Electrical Engineering from the University of Azad Jammu and Kashmir, which provided him with a solid foundation in electrical systems, electronics, and circuit design.
Professional Experience
Imran Riaz has extensive professional experience that combines academia, industry, and research. He is currently serving as a Lecturer at Mirpur University of Science and Technology, where he teaches both undergraduate and postgraduate courses in areas such as machine learning and medical image processing while also acting as the focal person for artificial intelligence initiatives. Earlier, he worked as a Graduate Research Assistant at Universiti Sains Malaysia, contributing to high-level research projects funded by the Ministry of Cyber Security Malaysia, focusing on biometric authentication and face spoofing detection. Prior to that, he held a long-term academic position at Mirpur University of Science and Technology as a Lecturer, supervising student projects, guiding research, and contributing to departmental responsibilities. His industry experience includes serving as Assistant Manager at Transfopower Industries in Lahore, Junior Engineer at the National Physical and Standards Laboratory, and an internship at a hydropower station, reflecting his versatile professional background.
Research Interest
Imran Riaz’s research interests lie in the interdisciplinary domains of biometrics, image processing, medical image analysis, machine learning, and pattern recognition. His work primarily focuses on developing secure, efficient, and accurate biometric authentication systems, exploring new modalities such as dorsal finger creases and finger knuckle print recognition. He has also contributed to advancements in medical imaging through deep learning-based diagnostic systems, particularly in cancer detection and histopathology image analysis. His studies aim to address real-world challenges, including overcoming fingerprint recognition failures caused by physiological factors and enhancing face recognition robustness against spoofing attacks. He also shows a keen interest in applying artificial intelligence and deep learning techniques across broader fields such as agriculture, energy optimization, and healthcare applications. His approach integrates theoretical advancements with practical implementation, bridging the gap between academic research and industry needs, while also contributing to emerging global challenges in smart technologies and intelligent systems.
Research Skill
Imran Riaz possesses strong research skills that span programming, data analysis, and advanced modeling techniques relevant to biometrics and machine learning. He is proficient in Python and MATLAB, with expertise in implementing machine and deep learning algorithms for classification, prediction, and pattern recognition tasks. His skills also extend to using statistical tools such as SPSS, along with simulation and circuit design software like SPICE and EWB, enabling him to integrate computational methods with engineering applications. Additionally, he has experience with tools such as Blender, Pepakura, and Anima8or, reflecting versatility in visualization and modeling. His technical report writing proficiency using LaTeX has supported the development of high-quality publications. These skills have been applied in multiple funded research projects, including biometric spoofing detection and medical image analysis. His ability to combine theoretical knowledge with practical implementation highlights his capacity to design, test, and validate innovative systems for real-world applications.
Publications Top Notes
Title: Automatic grading of palsy using asymmetrical facial features: a study complemented by new solutions
Authors: M Sajid, T Shafique, MJA Baig, I Riaz, S Amin, S Manzoor
Year: 2018
Citation: 55
Title: Data augmentation‐assisted makeup‐invariant face recognition
Authors: M Sajid, N Ali, SH Dar, N Iqbal Ratyal, AR Butt, B Zafar, T Shafique, …
Year: 2018
Citation: 53
Title: SA-GAN: stain acclimation generative adversarial network for histopathology image analysis
Authors: T Kausar, A Kausar, MA Ashraf, MF Siddique, M Wang, M Sajid, …
Year: 2021
Citation: 24
Title: Facial asymmetry-based anthropometric differences between gender and ethnicity
Authors: M Sajid, T Shafique, I Riaz, M Imran, M Jabbar Aziz Baig, S Baig, …
Year: 2018
Citation: 23
Title: Deep learning in age-invariant face recognition: a comparative study
Authors: M Sajid, N Ali, NI Ratyal, M Usman, FM Butt, I Riaz, U Musaddiq, …
Year: 2022
Citation: 17
Title: Demographic-assisted age-invariant face recognition and retrieval
Authors: M Sajid, T Shafique, S Manzoor, F Iqbal, H Talal, U Samad Qureshi, I Riaz
Year: 2018
Citation: 16
Title: Circular shift combination local binary pattern (CSC-LBP) method for dorsal finger crease classification
Authors: I Riaz, AN Ali, H Ibrahim
Year: 2023
Citation: 9
Title: Convolution neural network based approach for breast cancer type classification
Authors: T Kausar, MA Ashraf, A Kausar, I Riaz
Year: 2021
Citation: 8
Title: Loss of fingerprint features and recognition failure due to physiological factors-a literature survey
Authors: I Riaz, AN Ali, H Ibrahim
Year: 2024
Citation: 5
Title: Biometric classification system for dorsal finger creases utilizing multi-block circular shift combination local binary pattern
Authors: I Riaz, AN Ali, H Ibrahim, IA Huqqani
Year: 2024
Citation: 1
Title: Enhanced Parameter Estimation of Solar Photovoltaic Models Using QLESCA Algorithm
Authors: QS Hamad, SAM Saleh, SA Suandi, H Samma, YS Hamad, I Riaz
Year: 2024
Citation: 1
Title: A Finger Knuckle Print Classification System Using SVM for Different LBP Variants
Authors: I Riaz, AN Ali, IA Huqqani
Year: 2024
Citation: 1
Title: Enhancing the Dorsal Side of Fingers Using An Image Enhancement Technique with FPGA Output Comparison
Authors: TS Han, I Riaz, AN Ali
Year: 2024
Citation: 1
Title: Advanced technologies for smart fertilizer management in agriculture: A Review
Authors: JJ Liu, H Wu, I Riaz
Year: 2025
Title: Multimodal Biometric Recognition System Based on Feature-Level Fusion of Dorsal Finger Crease and Finger Knuckle Print
Authors: I Riaz, AN Ali, H Ibrahim, IA Huqqani
Year: 2025
Title: A novel sub-windowing local binary pattern approach for dorsal finger creases based biometric classification system
Authors: I Riaz, AN Ali, H Ibrahim
Year: 2024
Title: Dorsal Finger crease classification system using local binary pattern and its variants-A new finger biometric modality
Authors: I Riaz, AN Ali, H Ibrahim, IA Huqqani
Year: 2024
Title: Evaluation of Three Variants of LBP for Finger Creases Classification
Authors: NAA Salihin, I Riaz, AN Ali
Year: 2024
Title: Training Needs Assessment of Rice Growers in Rice Zone of the Punjab, Pakistan
Authors: I Riaz
Year: 2021
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