Allahyar Montazeri is a Senior Lecturer in Control and Electronics Engineering at Engineering Department at Lancaster. His industrial experience includes Fraunhofer Institute for Digital Media Technology (FhG-IDMT) and Bosch industries. Before this appointment he was research fellow with Fraunhofer IDMT, Ilmenau, Germany, and Control Engineering Group at Ilmenau University of Technology. He is recipient of Alexander von Humboldt research fellowship award in 2011 and European Research Consortium for Informatics and Mathematics fellowship award in 2010. He had collaboration with Bosch industries for development of active noise and vibration control algorithms for automotive sector and has been invited as guest lecturer for the Master Program in Communication and Signal Processing, Ilmenau, Germany since 2012. He was visiting research fellow at Automatic Control Laboratory, ETH, Zurich and Process Control Group, Norwegian University of Science and Technology. 

His research interests cover a wide range of areas on control theory and digital signal processing. Particularly he is interested in Adaptive Signal Processing and Control, Robust Control, Linear and Nonlinear System Identification, Estimation Theory, and Evolutionary Computing and Optimization with applications in Active Noise and Vibration Control Systems, Robotics, and Wave Energy Conversion.   

He has been author and co-author of more than 110 papers in international journals and conferences and is serving actively as reviewer. Due to his rich experience in the design of mechatronics systems, he has been invited to Chair the session on Adaptive Control of Mechatronics Systems at IEEE Conference on Decision and Control (FL, USA 2011). He is currently Associate Editor of Frontiers in Robotics and AI, Computational Intelligence in Electrical Engineering, Topical Advisory Panel of Automation MDPI, and serving IFAC Technical Committees 'Adaptive and Learning Systems' and 'Modelling, Identification, and Signal Processing'.

I am constantly searching for highly qualified PhD candidates in the area of acoustic signal processing and control. Please email your CV along with other academic qualificatios if you are interested.