معرفی
Dr. Vahid Abolghasemi is a Senior Lecturer (Associate Professor) in the School of Computer Science and Electronic Engineering at the University of Essex. He holds a PhD from the University of Surrey (2011) and has held academic positions including Assistant Professor at Shahrood University of Technology and postdoctoral research at Brunel University. His research focuses on signal/image processing, compressive sensing, machine learning, and their applications in healthcare, agriculture, and environmental monitoring.
He has received the IEEE Young Investigator Award (2018) and is a Senior Member of IEEE. He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively reviews for top journals. His grants include projects on AI-driven dashboards for retail IoT data, smart irrigation systems, and high-voltage battery management systems.
Research interests include biomedical signal processing, deep compressive sensing, and anomaly detection. He supervises PhD students in areas like ECG-based coronary artery disease detection and wireless image transmission systems.
Key projects involve developing AI solutions for plant disease detection, energy-efficient sensing networks, and fault diagnosis in electrical systems. His work bridges theoretical advancements with practical applications in critical sectors such as healthcare and agriculture.
