Shadab Khan

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About

Shadab Khan is a pioneering researcher in biomedical engineering, whose work sits at the intersection of surgical robotics, medical imaging, and intraoperative cancer diagnostics. His primary research focuses on developing novel electrical impedance-based sensing technologies for real-time tissue characterization during minimally invasive surgery. Khan’s most notable contribution is his seminal 2015 study on 3D microendoscopic electrical impedance tomography (EIT) for margin assessment during robot-assisted laparoscopic prostatectomy (RALP). In this work, he designed, simulated, and validated radially configured microendoscopic probes—with 8, 9, and 1 electrode configurations—through rigorous bench-top and ex vivo tissue experiments. This innovation aims to solve a critical clinical challenge: enabling surgeons to distinguish cancerous from healthy tissue at the surgical margin in real time, potentially reducing positive margin rates and improving patient outcomes. With over 30 citations, this paper has become a foundational reference for researchers exploring EIT in surgical oncology. Khan’s work exemplifies the translation of advanced sensing principles into practical tools for precision surgery, bridging the gap between engineering innovation and clinical need. His contributions continue to inspire new approaches to intraoperative tissue assessment.