Rashid Ali has many years of Industrial and academic teaching experience. Has worked as a consultant for many blue collar companies in automation and process control. His teaching experience is both at undergraduate and postgraduate level. He strongly believes in enriching the student experience by adopting a holistic approach to teaching and learning, where experiential learning and research plays a pivotal role. He employes Project/Problem based learning in delivering Aerospace Curriculum. Over the last 12 years. Rashid Ali has built up research interests in the area of Autonomous Systems, he was e member of the Autonomy NTC, was a founding member of the Committee of the IMechE, which oversees a UAS competition in the UK. Aircraft Design and Application of control theory to UAS applications is the principal focus of research. He is presently involved in the following areas: - Implementation of a modified robust Kalman Filter for UAV flight control applications on DSP. - Propeller trailing edge noise reduction UAS Applications - Active configurable hybrid capacitor as energy storage element for UAS - Active PITCH Control Vertical Wind Turbines - Fuel Cell Design for High Altitude UAS Operation - Energy Recovery during Landing Phase of Flight Operation