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Dr. Hameed Ullah Khan
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Assistant Professor

Hameed Ullah Khan

Biography

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.

Educational Qualification

Degree
BS(CS), MS(CS), PhD(CS)
Specialization
Computer Science, Computer Science, Artificial Intelligence
University
University of Bradford UK, University of Lahore, Islamabad, Comsats University Islamabad, Islamabad
Year
2012, 2015, 2024

Work Experience

Designation
System Analyst (Java), Visiting Lecturer, PhD Scholar, Senior AI Consultant, Lead AI Engineer, Assistant Professor
Company
Sidat Hyder Morshed Associates, Islamabad, University of Mianwali, National Center of Artificial Intelligence (NCAI), DamaniData, Mercurial Minds Islamabad, Sir Syed CASE Institute of Technology, Islamabad
From
Sep 2014, Feb 2019, Sep 2020, Jan 2023, June 2023, Feb 2025
To
Dec 2016, June 2020, Mar 2022, May 2024, Mar 2025, Till date

Research Interest

Title
Image Processing, Computer Vision , Large Language Models, Natural Language Processing , Deep Learning
Description
Techniques for enhancing and analyzing digital images, including segmentation, denoising, and feature extraction., Enabling machines to interpret visual data, covering areas like object detection, vision-language models, image fusion, and report generation., Neural networks that learn complex patterns from data, applied in CNNs, transformers, and generative models., Computational understanding and generation of human language, with tasks like translation, summarization., Advancing large language models through prompt engineering, retrieval-augmented generation, chatbots, and multimodal learning.

Honors & Award / Projects

Year
2019, 2020, 2021, 2022, 2024
Awarding Organization
Northwestern University, University of Michigan, Coursera, Coursera, Deeplearning.ai
Description
Course: Fundamentals of Digital Image and Video Processing, Course: Introduction to Data Science in Python, Project: Classification with Transfer Learning in Keras, Project: Semantic Segmentation with Amazon Sagemaker, Specialization: Deep Learning

Memberships

Title
N/A
Organization
N/A
From
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