Education
- Ph.D. in Machine Learning, University of Western Australia
- M.S. in Electrical Engineering, King Fahd University of Petroleum & Minerals (KFUPM)
- B.E. in Electrical Engineering, NED University of Engineering & Technology
Research Interests
- Neural Machine Translation (NMT), LLMs & SLMs
- Robust Face Recognition & Scene Understanding
- Bioinformatics & AI for Healthcare
- Combining Classifiers & Ensemble Learning
- Statistical Signal Processing & Adaptive Algorithms
Biography
Dr. Imran Naseem is a distinguished researcher, academic leader, and AI industry expert with over 20 years of experience in Artificial Intelligence, Machine Learning, and Signal Processing. He currently serves as AI R&D Manager at Alexa Translations (Canada), leading large-scale initiatives in Neural Machine Translation (NMT), Large Language Models (LLMs), and Small Language Models (SLMs). His work connects cutting-edge AI research with real-world applications in natural language processing, computer vision, and secure biometric systems.
Dr. Naseem also serves as Professor of Electrical Engineering at Karachi Institute of Economics and Technology (KIET) and as Adjunct Associate Professor at The University of Western Australia (UWA). He has supervised multiple Ph.D. and MS theses and has been involved in international collaborations in adaptive algorithms, pattern recognition, and AI-driven security systems.
Current Research Collaborations
- University of Western Australia (UWA): Collaborative research in machine learning and biometrics; external Ph.D. co-supervisor with Prof. Mohammed Bennamoun and Prof. Roberto Togneri.
Graduate Supervision
Ph.D. Theses Supervised:
- Design of Novel Incremental LMS Algorithms (2023)
- Feature Extraction for Digital Image Watermarking (2020)
- Adaptive Algorithms for Single- & Multi-Agent Estimation (2018)
- View-based Biometrics (2018)
- Feature Learning for Scene Understanding (UWA, 2016, co-supervised)
MS Theses Supervised:
- Ensemble Learning for Traffic Matrix Estimation
- Glioma Tumor Grading using CNN
- q-LMS Algorithms for Nonlinear Systems
- Protein Sequence Prediction using ML
- Quantum Calculus for Complex Systems
Research Grants & Funding
- NCBC (HEC): Hetro-Cloud for Low-Cost Scalable Computing – PKR 14M
- NCAI (HEC): Point-of-Care Test Kit using Graphene Biosensors – PKR 14M
- IGNITE (ICT R&D): FPGA-Based Multi-Scale Face Recognition System – PKR 13.8M
- ARC Discovery Grants (Australia): Multiple projects in image processing and AI
Honors & Awards
- Signal and Information Processing Lab Publication Prize (2009)
- IEEE TPAMI Publication Recognition
- SIRF Scholarship & UIS Award (UWA)
- National Media Recognition for Face Recognition Research
- Reviewer for IEEE Transactions & HEC Research Grants
- Completed Ph.D. in 2 years with multiple high-impact publications
Selected Publications
- Naseem, I., et al. “Reverse Image Search for Collage: A Novel Local Feature-Based Framework.” IEEE Access, 2023.
- Naseem, I., et al. “Deep Learning with Image Diffusion for Robust Face Presentation Attack Detection.” IEEE Access, 2023.
- Wahab, A., Khan, S., Naseem, I., et al. “Performance Analysis of Fractional Learning Algorithms.” IEEE Transactions on Signal Processing, 2022.
- Sadiq, A., Naseem, I., et al. “Wavelet-Based Fractal Analysis of rs-fMRI for Alzheimer’s Classification.” Sensors, 2022.
Professional Affiliations
- Registered Professional Engineer, Pakistan Engineering Council (PEC)
- Accredited Professional Electronic Engineer, Engineers Australia
