Lecturer at GIK Institute of Engineering Sciences & Technology, Topi, Pakistan.
I am passionate about developing and applying Machine Learning solutions to real-world problems, and I continually seek new challenges that foster learning, innovation, and growth.
University of Engineering & Technology Peshawar, Pakistan
Thesis: Neural Network for Segmentation of Medical Images
Supervisor: Dr. Noor Badshah, Ph.D (University of Liverpool, UK)
GIK Institute, Pakistan
Teaching Undergraduate Courses:
Neural Internet, USA
CECOS University, Pakistan
CECOS University, Pakistan
UET Peshawar, Pakistan
Govt. Degree College Chitral, Pakistan
Developed and trained a deep neural network for the segmentation of medical images during masters' degree research. Also collaborated with other graduate students to explore Active Contour Models integration in neural networks and their application in medical images processing.
Used transfer learning for finetuning different convolutional deep neural networks and vision transformers for classification of cancerous skin images.
Worked on developing and training a physics-informed neural network for solving PDEs with a graduate student at GIK Institute as his co-supervisor. Enhanced PINN Performance Through Lie Symmetry Group, and solved Newell-Whitehead-Segel, Allen-Cahn, and Burgers' Equations.
Explored different data processing techniques and machine learning algorithms to automate Careem's Captain (driver) fraud detection. Careem is a well-known ride-hailing services provider company in the Middle East region.
Developed a deep neural network-based approach for the rapid detection of hidden explosives and narcotics using Multipulse Nuclear Quadrupole Resonance (NQR).
Leading this project from the National Database and Registration Authority (NADRA) to automate anomaly detection followed by rate limiting of requests for different services in NADRA.
Compiling a book on Mathematics for Machine Learning, covering fundamental concepts in Probability, Statistics, Calculus, and Linear Algebra, accompanied by hands-on practice examples implemented in Python.
Muniba Ashfaq, Asif Ahmad, Skin cancer classification with convolutional deep neural networks and vision transformers using transfer learning, Springer Nature, 2024.
Noor Badshah, Asif Ahmad, ResBCU-Net: Deep learning approach for segmentation of skin images, Biomedical Signal Processing and Control, Elsevier, 2022.
Asif Ahmad, Noor Badshah, Mahmood Hassan, Kamboh Well, A Modified Memory-Efficient U-Net for Segmentation of Polyps, International Journal of Engineering Works, 2021.
Mehreen Fida, Noor Badshah, Asif Ahmad, Abdul Hafeez, Arif Ullah, Yalin Zheng, Neural Network Integrated with Active Contour Model for Segmentation of Medical Images, Ahi Evran International Conference on Scientific Research, 30 November - 1-2 December, 2021.
Arif Ullh, Noor Badshah, Asif Ahmad, Abdul Hafeez, Mehreen Fida, Deep Learning Approach for Segmentation of Medical Images, Ahi Evran International Conference on Scientific Research, 30 November - 1-2 December, 2021.
Asif Ahmad, Naveed R Butt, Babar Zaman, Deep Neural Network Based Accurate and Fast Detection of Hidden Explosives and Narcotics Using Multi-Pulse Nuclear Quadrupole Resonance, Available at SSRN 4948911.
Ali Haider Shah, Naveed Razzaq Butt, Asif Ahmad, Muhammad Omar bin Saeed, Enhancing PINN Performance Through Lie Symmetry Group, arXiv.org e-Print archive, 2025.
Ali Haider Shah, Naveed Razzaq Butt, Asif Ahmad, Muhammad Omar bin Saeed, Solving Newell-Whitehead-Segel and Allen-Cahn Equations Employing Physics-Informed Neural Networks: A Comparative Analysis with Spline Methods, arXiv.org e-Print archive, 2025.
Co-supervised MS thesis titled Solving PDEs Using Improved Physics-Informed Neural Networks (PINNs) and Lie Symmetry of Ali Haider (Reg. # ES-2264), at GIK Institute of Engineering Sciences & Technology Topi, Pakistan.
MS Studentship at National Center of Big Data & Cloud Computing (NCBC), UET, 2019.
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