Dr. Jebran Khan is an accomplished researcher and educator with over 14 years of experience in cutting-edge research and teaching at prestigious institutions, including the University of Engineering & Technology (UET) Peshawar, Korea Aerospace University, AJOU University, and Kyungdong University Global. He is an Assistant Professor in the Department of Artificial Intelligence at Kyundong University Global, South Korea.

Dr. Khan's academic journey began with a B.Sc. and M.Sc. in Computer Systems Engineering from UET Peshawar, Pakistan, followed by a Ph.D. in Electronics and Information Engineering from Korea Aerospace University. His doctoral work and subsequent research have established him as a leader in several emerging domains of Artificial Intelligence (AI) and its applications.

Dr. Khan has consistently contributed to advancing AI research as a dedicated scholar. Over the past five years, he has published extensively in high-impact journals, addressing critical AI and Machine Learning challenges. His work spans diverse areas, including Natural Language Processing, Large Language Models, Social Network Analysis, Recommender Systems, Graph Analysis Applications, Human Activity Recognition, and Contact Tracing. Dr. Khan's research also emphasizes AI's ethical and practical aspects, contributing to building trustworthy AI systems for societal impact.

Dr. Khan’s research contributions span diverse domains, including Large Language Models, Graph Analysis Applications, Human Activity Recognition, Contact Tracing, and Explainable AI. He focuses on developing innovative and trustworthy AI solutions for complex real-world problems. His collaborative research efforts include partnerships with scholars from South Korea, Pakistan, and Ireland on behavior analysis, explainable NLP, and AI ethics. 

Dr. Khan is also an editor and reviewer for high-impact journals from prestigious publishers like IEEE, Springer, and MDPI. He has participated in and presented at numerous international conferences, contributing to the global AI research community. 

Dr. Khan aims to bridge the gap between theoretical AI advancements and practical applications, particularly in social media ecosystems and health informatics. His vision is to develop innovative, resilient, and trustworthy AI systems that address contemporary challenges and create a sustainable societal impact.

Please don't hesitate to contact me if you are interested in collaborating on research in the relevant areas of our joint interest.