Early Academic Pursuits
Dr. Sajid Ullah Khan embarked on his academic journey with a strong foundation in computer science. He earned his B.I.T. degree from Gomal University, Pakistan, followed by an M.S. in Computer Science from the University of Science & Technology, Bannu. His quest for knowledge led him to University Malaysia Sarawak (UNIMAS), Malaysia, where he obtained his Ph.D. in Image Processing & Computer Vision (2011-2015). Further enhancing his expertise, he completed two postdoctoral fellowships at UNIMAS (2016-2017) and Chosun University, South Korea (2022-2023), focusing on advanced research in image analysis and artificial intelligence.
Professional Endeavors
With over nine years of teaching experience, Dr. Khan has held significant academic positions. He currently serves as an Associate Professor at Prince Sattam bin Abdulaziz University, KSA. Previously, he contributed as a faculty member at University of Lakki Marwat and CECOS University, Pakistan, and as a Tutor at UNIMAS, Malaysia. His dedication to education and research has helped shape the careers of many students in computer science and engineering.
Contributions and Research Focus
Dr. Khan’s research interests lie in digital image processing, computer vision, data mining, and artificial intelligence applications. His notable projects include semantic extraction for road density estimation, floodplain mapping using GIS, and intelligent automation in medical image analysis. He has been actively involved in research groups such as MIP Lab at Chosun University and CoIMAST at UNIMAS, contributing to groundbreaking innovations in AI-driven image analysis.
Impact and Influence
Dr. Khan’s scholarly contributions have been recognized on both national and international platforms. His research has enhanced the field of AI-driven image processing, leading to practical applications in medical diagnostics, automation, and smart surveillance. His work has also been instrumental in advancing ICT solutions and digital transformation in academia and industry.
Academic Cites & Recognitions
- 6th Position in DICE-IET 2020 at COMSATS University, Lahore
- Best Researcher Award at CECOS University (2018)
- UNIMAS Graduate Scholarship (ZSU) for Ph.D. studies
Technical Skills
Dr. Khan is proficient in Matlab, Python, C, and C++, with expertise in data warehousing, HCI, database management systems, and advanced operating systems. His technical acumen allows him to develop and implement AI-based solutions in image processing and pattern recognition.
Teaching Experience
Throughout his career, Dr. Khan has taught a variety of computer science courses, including Programming Fundamentals, Digital Image Processing, Human-Computer Interaction, Advanced Computer Architecture, and Data Structures & Algorithms. His pedagogical approach integrates theory with real-world applications, preparing students for careers in AI and computational sciences.
Leadership and Administrative Roles
- Director Administration, University of Lakki Marwat
- Associate Dean (Academics), University of Lakki Marwat
- Department Chairman at University of Lakki Marwat & CECOS University
Legacy and Future Contributions
Dr. Khan continues to pioneer research in AI-driven image analysis, striving to bridge the gap between academia and industry. His future work aims to advance intelligent automation in medical imaging, real-time object detection, and deep learning applications. His vision is to mentor the next generation of AI researchers and contribute to global advancements in computational sciences. With a commitment to excellence and innovation, Dr. Sajid Ullah Khan remains a driving force in computer vision, AI research, and academic leadership.