Dr. Edward Grant is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University, Professor in Joint Biomedical Engineering Department at University of North Carolina at Chapel Hill and North Carolina State University, formally Director of the Center for Robotics and Intelligent Machines at North Carolina State University, and a Senior Researcher in the Department of Advanced Robotics at the Instituto Italiano di Tecnologia (IIT). He held a visiting position in the Innovative Manufacturing & Construction Research Centre at Loughborough University. He began his working life as an apprentice mechanical engineer and design draughtsman in Kirkcaldy, Scotland. His academic qualifications include: Higher National Certificate in Mechanical Engineering, BSc(Hons) in Mechanical Engineering, MEng in Fluid Power Control, and Ph.D. in Artificial Intelligence.
He began his academic career at what is now the University of Abertay Dundee. Later he held faculty positions at the University of Strathclyde in Glasgow. Also in Glasgow, he was an Associate of the Turing Institute researching in robotics and applied artificial intelligence. At that time the Turing Institute was European Unions leading artificial intelligence laboratory. In 1990 he was Acting Director of Research at the Turing Institute. Dr. Grant specializes in basic and applied research in the modeling and learned control of: advanced autonomous robotic systems, medical robotic systems, and wearable wireless network systems for healthcare monitoring. Applications include: using low-level communication (RSSI) for autonomous robot localization and navigation, automated cell in vitro fertilization and tumor ablation, and the modeling and control of the vascular system of ambulatory patients. From 2014-2016 Dr. Grant was VP for Finances, IEEE Sensors Council.
University of Strathclyde, Glasgow
University of Sheffield, England
University of Abertay Dundee, Scotland
- Designing and Testing a Closed-Loop Magnetically Actuated Laser Scanning System for Tissue Ablation (2022)
- mu RALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery (2021)
- An Implantable Wireless Inductive Sensor System Designed to Monitor Prosthesis Motion in Total Joint Replacement Surgery (2020)
- An introduction to a new direct testing method for characterizing pressure in compression fabrics (2019)
- An indirect testing approach for characterizing pressure profiles of compression bandages and hosiery (2018)
- Autonomous navigation using received signal strength and bearing-only pseudogradient interpolation (2016)
- Response to critique on methods for studying the pressure applied by compression fabrics (2016)
- Review of Automated Microinjection Systems for Single Cells in the Embryogenesis Stage (2016)
- A Wearable bioimpedance spectroscopy system for characterizing fluid distribution in the lower limbs (2015)
- Characterizing conductive yarns for pressure sensors applications (2015)