OUR TEAM

Associate Professor, Department of Artificial Intelligence, National University of Technology (2025–Present)
- Teach undergraduate and graduate courses.
- Advise graduate students on research projects.
- Serve as a faculty mentor for students.
Assistant Professor, Department of Robotics & Artificial Intelligence, National University of Sciences and Technology (2017–2025)
- Teach undergraduate and graduate courses.
- Advise graduate students on research projects.
- Serve as a faculty mentor for students.

• Ph.D. in Computer Science , Åbo Akademi University, Finland (2017)
• M.Sc. in Electrical Engineering , Kungliga Tekniska Högskolan, Sweden (2009)
• B.Sc. in Computer Engineering, National University of Sciences and Technology, Pakistan (2007)

I have taught a variety of undergraduate and graduate-level courses in the Artificial Intelligence Department. Below are the courses I have been involved in teaching:

• Advanced Machine Learning (MS-Level)
• Programming Fundamentals (BS-Level)
• Computer Networks (BS-Level)

My research interests primarily lie in leveraging AI technologies to address critical challenges in the healthcare and agriculture sectors. I am committed to advancing high-quality research while fostering a strong integration of theoretical foundations and practical implementation to prepare professionals for the evolving demands of the AI-driven technological landscape.

1. M. F. Malik, S. Ali, K. Javed, M. A. Khan, Y. Ayaz, Y. Nam, M. B. Sial, “Hybrid control
paradigm for exploring VR teleoperation and DRL-driven autonomy in mobile robotics”,
Multimedia Tools and Applications, 2025.
2. M. Siddiqah, K. Javed, Syed O. M., M. A. Khan, S. Alsenan, R. Damasevicius, Y.
Zhang, “DSA: Deep Self-Attention Medical Transformer Neuro-Technology for Brain
Tumor Segmentation”, International Journal of Imaging Systems and Technology (IMA) , Vol
35, 2025.
3. A. Kanwal, K. Javed, S. Ali, M. A. Khan, H. Albarakati, A. Alasiry, M. Marzougui, A Masood,
“ALATT-Network: Automated LSTM-based framework for classification and monitoring of
Autism Spectrum Disorder Therapy Tasks”, 2024.
4. W. Ullah, K. Javed, M. A. Khan, F, y, Alghayadh, M. Alsafyani, A. M. Baqash, R. Alroobae,
I. Ofori, “Efficient Identification and Classification of Apple Leaf Diseases using Lightweight.
Vision Transformers”, Discover Sustainability, 2024
5. H. A. Poonja, M. A. Shirazi, M. J. Khan, K. Javed, “Engagement detection and enhancement
for STEM education through computer vision, augmented reality, and haptics”, Image and
Vision Computing, Vol 136, 2023.
6. A. Kanwal, K. Javed, S. Ali, S. Rubab, M. A. Khan, A. Alasiry, M. Marzougui, M. Shabaz,
“A hybrid framework for detection of autism using ConvNeXt-T and embedding clusters”,
The Journal of Supercomputing, pp 1-23, 2024.
7. S. Faisal, K. Javed, S. Ali, “Deep Transfer Learningbased citrus plant disease detection and
classification using leaf images”, Computers, Materials & Continua, pp 895-914, 2023.
8. H. Nadeem, K. Javed, Z. Nadeem, M. J. Khan, S. Rubab, D. K. Yon, R. A. Naqvi,” Road
features detection for Advance Driver Assistance System using Deep Learning”,Sensors, pp
4466, 2023.
9. S. Ali, M. Sajid, K. Javed, “Energy Modeling and Predictive Control of Environmental
Quality for Building Energy Management Using Machine Learning”, Energy for Sustainable
Development, pp 381-395, 2023.