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About

Dr. Laligam N. Sekhar is a pioneering neurosurgeon and researcher whose work bridges the gap between advanced robotics and minimally invasive neurosurgery. His key research areas include skull base surgery, image-guided brain tumor resection, and flexible robotic systems for single-portal procedures. Dr. Sekhar’s major contributions center on developing autonomous and semi-autonomous surgical tools to improve patient outcomes. His 2017 study on the “Roboscope,” a flexible and bendable endoscopic device, garnered 39 citations and demonstrated how two instruments and miniature scanning fiber endoscopes can reduce iatrogenic injury. That same year, his bench-top study on a semi-autonomous robotic system for brain tumor resection (33 citations) introduced a prototype capable of automatically detecting and clearing residual tumor tissue after bulk removal. Dr. Sekhar also advanced computer-assisted interventions through end-to-end learning for instrument segmentation (2019), and his forward-looking 2020 paper, “The Future of Skull Base Surgery,” earned 36 citations. With a career spanning decades, Dr. Sekhar’s work has fundamentally shaped the integration of robotics into neurosurgery, offering new hope for safer, more precise surgical interventions.