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Dr Hameed Ullah Khan

Assistant Professor at Sir Syed CASE Institute of Technology. This profile contains relevant information about the faculty member. For any queries or further information, please feel free to reach out using the contact details provided above. The department is committed to supporting students and visitors with their questions and academic needs.

Dr. Hameed Ullah Khan is currently serving as an Assistant Professor in the Computer Science Department at Sir Syed CASE Institute of Technology. He earned his Ph.D. in Computer Science from COMSATS University Islamabad in 2024. Dr. Khan brings over seven years of professional industry experience with expertise in AI engineering, software development, and system analysis. He has held prominent positions such as Lead AI Engineer and Senior AI Consultant, contributing to several high-impact technology initiatives. Notably, he was a key AI contributor in the development of the Tamasha app for Jazz, a flagship project in Pakistan’s digital entertainment landscape. Dr. Khan was actively involved with the Medical Imaging and Diagnostic Lab at the National Center of Artificial Intelligence (NCAI), where he worked on cutting-edge research and development in medical image analysis. His work focused on deep learning applications for histopathology image classification, segmentation, and diagnostic support systems, contributing to advancements in AI-driven healthcare solutions in Pakistan. Dr. Khan has also authored several research publications in internationally recognized journals published by IEEE, Elsevier, and Wiley. His research interests include image processing, computer vision, deep learning, artificial intelligence, and large language models.
Degree
Specialization
University
Year
PhD(CS)
Artificial Intelligence
Comsats University Islamabad, Islamabad
2024
MS(CS)
Computer Science
University of Lahore, Islamabad
2015
BS(CS)
Computer Science
University of Bradford UK
2012
Designation
Company
From
To
Assistant Professor
Sir Syed CASE Institute of Technology, Islamabad
Feb 2025
Till date
Lead AI Engineer
Mercurial Minds Islamabad
June 2023
Mar 2025
Senior AI Consultant
DamaniData
Jan 2023
May 2024
PhD Scholar
National Center of Artificial Intelligence (NCAI)
Sep 2020
Mar 2022
Visiting Lecturer
University of Mianwali
Feb 2019
June 2020
System Analyst (Java)
Sidat Hyder Morshed Associates, Islamabad
Sep 2014
Dec 2016
Title
Description
Image Processing
Techniques for enhancing and analyzing digital images, including segmentation, denoising, and feature extraction.
Computer Vision
Enabling machines to interpret visual data, covering areas like object detection, vision-language models, image fusion, and report generation.
Deep Learning
Neural networks that learn complex patterns from data, applied in CNNs, transformers, and generative models.
Natural Language Processing
Computational understanding and generation of human language, with tasks like translation, summarization.
Large Language Models
Advancing large language models through prompt engineering, retrieval-augmented generation, chatbots, and multimodal learning.
Year
Awarding Organization
Description
2024
Deeplearning.ai
Specialization: Deep Learning
2022
Coursera
Project: Semantic Segmentation with Amazon Sagemaker
2021
Coursera
Project: Classification with Transfer Learning in Keras
2020
University of Michigan
Course: Introduction to Data Science in Python
2019
Northwestern University
Course: Fundamentals of Digital Image and Video Processing
Title
Organization
From
To
N/A
N/A
N/A
N/A

Courses Taught

  • Software Engineering
  • Computer Vision

Key Publications (Journals & Books)

Khan, Hameed Ullah, et al. "WaveSeg‐UNet model for overlapped nuclei segmentation from multi‐organ histopathology images." CAAI Transactions on Intelligence Technology 10.1 (2025): 253-267.
Khan, Hameed Ullah, et al. "SMDetector: Small mitotic detector in histopathology images using faster R-CNN with dilated convolutions in backbone model." Biomedical Signal Processing and Control 81 (2023): 104414.
Khan, Hameed Ullah, et al. "MSF-model: Multi-scale feature fusion-based domain adaptive model for breast cancer classification of histopathology images." IEEE Access 10 (2022): 122530-122547.
Khan, Hameed Ullah, M. Yaqoob Wani, and S. T. Rehman. "A Novel Technique for solving non-linear Partial Differential Equation (PDE) under varying conditions." (2015).

Key Publications (Conferences & Workshops)

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