Rate My Professor Ardhendu Behera

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.