Rate My Professor Ardhendu Behera

Ardhendu Behera is a Professor of Computer Vision & AI in the Department of Computer Science at Edge Hill University, where he also serves as co-director and founder of the Intelligent Visual Computing Research Centre. He earned his PhD in Computer Science from the University of Fribourg, Switzerland, focusing on a visual signature-based identification method for low-resolution document images and its application to automate indexing of multimodal recordings. Prior to this, he obtained an MSc in System Science and Automation from the Indian Institute of Science Bangalore and studied Electrical Engineering at Motilal Nehru National Institute of Technology. He also holds a Postgraduate Certificate in Computer Science from Edge Hill University. Behera's career includes a postdoctoral position in the Computer Vision group at the University of Leeds from 2007 to 2014 and a role as Edge Hill University’s Impact Fellow from 2017 to 2018, supporting interdisciplinary impact studies for REF 2021. As Principal Investigator, he leads projects such as ATRACT for trustworthy robotic autonomous systems in casualty triage, ARMOUR for AI tools in disaster resilience, SCAnDi for single-cell DNA analysis, and augmented reality initiatives for immersive learning spaces.

Behera’s research specializes in deep learning, computer vision, and multimodal AI, with applications in automotive, defence and security, healthcare, and beyond. A Fellow of the Higher Education Academy and member of the British Computer Society, AAAI, and IEEE, he serves as Associate Editor for IEEE Transactions on Image Processing and reviewer for top conferences like CVPR, ICCV, ECCV, NeurIPS, and ICML. His publications include highly cited works such as “Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station” (2020), “Deep learning-based effective fine-grained weather forecasting model” (2021), “Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification” (2021), and “Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition” (IEEE Transactions on Image Processing, 2021). With over 3,100 citations, his contributions have notable impact, including media coverage of dementia monitoring research using social robotics by BBC News, The Times, ITV, and others. Behera has delivered keynote speeches at NCVPRIPG 2019 and ICIoT 2019, and served as invited speaker at King’s College London, Alzheimer’s Research UK, and the University of Liverpool.