معرفی
Dr. Alexander Belyaev is an Associate Professor at the Institute of Sensors, Signals & Systems within the School of Engineering & Physical Sciences at Heriot-Watt University. His research focuses on advanced mathematical and computational methods in image processing, signal processing, and geometry processing. He has contributed to areas such as distance function approximation, image deblurring, dehazing, and texture analysis. His work often integrates variational methods and partial differential equations (PDEs), addressing challenges in computer vision and geometric modeling.
Research interests include image enhancement techniques like multiplicative deblurring and reverse filtering, as well as geometric algorithms for shape interrogation and surface reconstruction. His publications span over 15 years, with recent emphasis on deep learning applications in image dehazing and variable exponent diffusion for texture separation. Collaborations involve international teams, particularly in signal processing and computer graphics.
No scientific awards are explicitly listed. His advising and grants are not detailed in the provided texts, but his lab work is centered at the Institute of Sensors, Signals & Systems, focusing on interdisciplinary research in sensing technologies and computational methods.
