Jaleed Khan

Dr. Jaleed Khan is an Honourary Research Fellow in AI for Healthcare at Oxford and a Senior Researcher in AI and Data Analytics at Fujitsu Research. 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 eight 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 40 research publications in top-tier journals and leading international conferences, receiving more than 1900 citations, an H-index of 18 (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 and KGC). He also serves as an editorial member and peer reviewer for reputed journals (including IJCV, Pattern Recognition and Nature Scientific Reports), holds professional memberships (including ACM, IAPR and PPRS) and serves as a grant panellist for funding bodies (FFG and NCN).