Engr. Mirza Ahsan Ullah
Specialization : Computer Vision
Email : [email protected]
Office Number : +(92) +9253363112Office Exten : 159
Engr. Mirza Ahsan Ullah is a dedicated academic and researcher who has been serving as a lecturer in the Department of Software Engineering since March 2014. With extensive experience in academia and industry, he has contributed significantly to software development, research, and teaching in prestigious national universities. He holds an MSc in Software Engineering and a BSc in Computer Engineering from the University of Engineering and Technology, Taxila. He is pursuing a PhD at COMSATS University Islamabad, specializing in Deep Learning and Computer Vision. His research focuses on cutting-edge advancements in Artificial Intelligence, exploring novel techniques in image processing, pattern recognition, and neural networks. With several years of industrial experience in software development, he brings practical insights into academia, bridging the gap between theoretical knowledge and real-world applications. His commitment to research is evident in his numerous publications in renowned international journals, contributing to Artificial Intelligence, Computer Vision, Deep Learning, and Software Engineering. Engr. Mirza Ahsan Ullah is passionate about fostering innovation, mentoring students, and advancing research that drives technological progress. His expertise in AI-driven solutions and software engineering continues to shape the next generation of engineers and researchers.
Engr. Mirza Ahsan Ullah's research interests encompass the development and application of advanced Artificial Intelligence methodologies to address complex challenges in various domains. His key focus areas include:
-
Machine Learning & Deep Learning: Designing and implementing sophisticated algorithms to enhance predictive analytics, pattern recognition, and data-driven decision-making across diverse sectors.
-
Explainable AI (XAI): Prioritizing the creation of transparent and interpretable AI models to foster trust and facilitate the adoption of AI technologies in critical applications.
-
Computer Vision: Advancing techniques in image and video analysis, object detection, and scene understanding to improve automation and human-computer interaction.
-
Software Engineering: Investigating innovative approaches to software development, emphasizing quality assurance, agile methodologies, and the seamless integration of AI components into software systems.
Through his interdisciplinary research, Engr. Ullah aims to bridge theoretical advancements with practical implementations, driving innovation in AI-driven solutions and contributing to the evolution of intelligent systems and software engineering practices.
You may visit his Google Scholar profile at https://scholar.google.com/citations?user=b_5QwAgAAAAJ&hl=en&oi=ao
-
- PhD Computer Science,Comsats
- BSc. Computer Engineering,University of Engineering & Technalogy Texila
- MS Software Engineering,University of Engineering & Technalogy Texila
- Position In MS Software Engineering I got 3rd Position in MS Software Engineering
- Scholarship for MS Software Engineering I got fully funded scholarship for doing MS Software Engineering from UET Taxila
- Registered Engineer PEC Registered Engineer (PEC Reg # COMP/7919)
- Member board of Studies Software Engineering department (2023 to onward)
- Exam Coordinator Software Engineering department (2015-2016)
- Exam Coordinator Faculty of C & IT (Evening) 2016-2018
- Project Management Officer Faculty of C & IT Evening (2016-2018)
- Administrator Microsoft Imagine academy (2017-2018)
- Batch advisor Software Engineering 2013, 2014 intake
- Member Discipline Committee Faculty of C & IT (Evening) (2016-2018)
- Member board of Studies Departmental of Software Engineering (2015-2018)
- Member Self-Assessment Report (SAR) committee Member Self-Assessment Report (SAR) committee (2015)
- Program coordinator Software Engineering department (2024 to onward)
| Student Name | Degree | Title | Status / Completed Year |
|---|---|---|---|
| Management System of Alfalah Scholarship | BS | 2015 | |
| Cross Site scripting Prevention | M.Sc. | 2014 | |
| Dollar Club Management System | M.Sc. | 2014 | |
| Ejaz Autos Management system | M.Sc. | 2014 | |
| Pins Management Solution | M.Sc. | 2014 |
- Coordinated Software Engineering Society (SES) during its launch ceremony
-
1. Mirza Ahsan Ullah ,Tehseen Zia,Jungeun Kim ,Seifedine Kadry “An inherently interpretable deep learning model for local explanations using visual concepts” Plos One, October 2024 DOI:
-
2. Tehseen Zia, Nauman Bashir, Ahsan Ullah Mirza, Shakeeb Murtaza “SoFTNet: A concept-controlled deep learning architecture for interpretable image classification” Knowledge-Based Systems, March 2022 DOI: