Jaleed Khan

Dr. Jaleed Khan is an Honourary Research Fellow in AI for Healthcare at Oxford and a Lead Data Scientist at Elsewhen. He worked as a Postdoctoral Researcher at Nuffield Department of Women's and Reproductive Health, where he investigated AI-driven fetal health monitoring for better prenatal care. Jaleed has extensive experience in AI, data science and software development, spanning nine 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 blended deep learning and common sense knowledge graphs to advance neurosymbolic AI for scene understanding and visual reasoning. Jaleed has authored over 40 research publications in top-tier journals and leading international conferences, receiving more than 2300 citations, an H-index of 20 (Google Scholar), and a Field-Weighted Citation Impact of 3.15 (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 (including ECML, ECAI and KGC). He also serves as an editorial member and peer reviewer for reputed journals (including TPAMI, IJCV and TNNLS), holds professional memberships (including ACM, IAPR and PPRS) and serves as a grant panellist for funding bodies (FFG and NCN).