I-Cair: Innovative CV and AI Research Group

I'm excited to share that I've been selected as a speaker for the Lighting Talk Session of ! This virtual workshop, hosted by the and at Columbia University, NY, USA, explored the fascinating intersection of privacy, technology, and data values. 8 speakers were selected from all over the world who work on AI and data privacy.
During the session, we dove deep into how emerging technologies challenge our notions of privacy and how we can navigate these complexities responsibly. I’m grateful for the opportunity to share insights and learn from experts and researchers like Claudia Scholz, William Liem, VICTOR OWUSU BOATENG, Clarence Tocchio, Julianna Kowlessar, Krishna Chaitanya Rao, Krishna Kishore Pandalaneni, PMP and participants alike. I am very much thankful to JB for assisting us throughout the session.
Looking forward to applying these learnings and continuing the conversation around data ethics and privacy in our increasingly digital world.


HR Cell Kiit KIIT - Kalinga Institute of Industrial Technology School Of Computer Engineering, KIIT Jadavpur University Calcutta Institute of Engineering and Management Calcutta Institute of Engineering and Management

Welcome to the group!!! The I-CAIR (Innovative Computer Vision and Artificial Intelligence Research) Group is a pioneering research and teaching laboratory focused on advancing the field of computer vision and artificial intelligence. Our mission is to explore innovative applications and methodologies that leverage the power of AI and computer vision to solve complex challenges and drive technological innovation. We specialize in EEG & brain-computer interfacing (BCI) research, strongly emphasizing multisensory BCI experiments. Our primary focus areas include auditory and tactile modality paradigms, and we are expanding into vision, olfactory, and gustatory paradigms to pioneer the future of "all-sensory-stimulus-based-BCI". We are at the forefront of developing signal processing techniques, particularly data-driven methods, for biomedical signal denoising, analysis, and classification.