Brief Profile of Dr Khizer Saeed.

Dr Khizer Saeed is Principal Lecturer (associate Professor) in Mechanical engineering At the University of Brighton. Dr Khizer Saeed completed a DPhil in Engineering Sciences at the University of Oxford, and his research on Fundamental Combustion measurements as Felix Scholar of Sommerville College at Oxford. He continued his research at Oxford on University’s Radhakrishna Bequest on combustion fundamentals. He was awarded Royal society fellowship to develop in-cylinder diagnostics laser technique.  He was awarded academic visit by the international centre of theoretical physics (Italy) and MIT(USA) to research on combustion and explosion control. Dr Khizer’s research interest mostly concerns with developing novel systems in Robotics and Control (Human-Robot interaction technique, autonomous robots, robots for healthcare and defence applications, industrial automation. Diagnostic techniques (Spectroscopic, Laser, electron microscopy and sensors). Clean Energy systems mainly with combustion and explosions control.  Khizer has developed a new £1 million multidisciplinary Robotics, Control and Artificial intelligence (MOCAI) research laboratory at the University of Brighton. The state of art facilities in laboratory provides multidisciplinary research platform for developing long term, interaction and collaborative research. Khizer’s recent work include a £85000 consortium project with four other universities on the development of “A Trustworthy Robotic Autonomous system to support Casualty Triage: ATRACT” funded by EPSRC, a project on human-robot interactions, and BRITE project on developing sustainable energy systems for Africa. Khizer is known internationally for his research on explosion and its controls. He has developed novel experimental systems to diagnose, measure and control explosion under unvented and vented conditions. He has developed advance measurements and predictive systems to simulate and predicts the explosion characteristics of wide range of substances.   Dr Saeed is supervising a number of research projects on Human-Robot interactions such as gesture based Control of 7-DOF robotic arm, Human Emotions based control of Robots and Use of Arial Drones in Defence and Healthcare.