Jaleed Khan

Dr. Jaleed Khan is a Postdoctoral Researcher in AI at Oxford, where he investigates AI-driven fetal health monitoring for better prenatal care. Jaleed has extensive experience in AI, data science, and software development, spanning over seven years across academia and industry. He holds a Ph.D. in AI, and an M.Sc. (by research) and a B.Sc. in computer engineering. His doctoral research blends deep learning and common sense knowledge graphs to advance neurosymbolic AI for scene understanding and visual reasoning. Jaleed has authored over 34 research publications in top-tier journals and leading international conferences, receiving more than 1500 citations, an H-index of 17 (Google Scholar), and a Field-Weighted Citation Impact of 2.83 (Scopus). His contributions have been widely recognized by the research community, as evidenced by invitations to speak at and serve as a PC member of major international conferences and workshops (including ECML, ECAI, NeSy and KGC). He also serves as an editorial member and peer reviewer for reputed journals (including Pattern Recognition, Artificial Intelligence Review and Nature Scientific Reports) and holds professional memberships in ACM, IAPR, NeSy, and PPRS.