Meet The Organizers

is a Professor at UiT The Arctic University of Norway and a Visiting Professor at the National University of Singapore. He has published 130+ internationally peer-reviewed research articles (including CVPR, ECCV, TIP, etc.) and patents. He is also a Senior Member of IEEE. He is the author of the book Interpretability in Deep Learning, Springer, 2023. He was Program Chair of CVIP2017 and Co-organizer of the ICONIP 2022 workshop "Deep Learning and Security Techniques for Secure Video Processing". He was also a member of the organizing team of the ICCV workshop entitled "Resource Efficient Deep Learning for Computer Vision". His research interests include efficient image processing, pattern recognition, and artificial intelligence.

Webpage: https://en.uit.no/ansatte/person?p_document_id=615677

is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Roorkee, India. He is also a Joint Faculty in the Mehta Family School of Data Science and Artificial Intelligence at IIT Roorkee and iHUB Divyasampark Chair Professor at the Technology Innovation Hub, a joint initiative of the DST, Government of India, and IIT Roorkee. He is the recipient of the BOYSCAST Fellowship, awarded by the DST in India.  He is also a Senior Member of IEEE. He has published over 180+ international journal articles and 150+ conference proceedings (including Interspeech, ICTAI, IEEE-Cloud, CVPR-w, ICCV-w, ICPR, ACPR, WACV, IJCNN, ICIP, and ICVGIP). His areas of research include computer vision (including optical flow problems, fractional transform theory, wavelet analysis, image, and video processing) and multimedia security (including digital watermarking and encryption techniques, biometrics, content-based image \& video retrieval, hyperspectral \& microwave imaging, visualization, and volume graphics).

Webpage: https://faculty.iitr.ac.in/cs/bala/ 

is working as an Associate Professor at the Faculty of Communication Engineering, Military College of Telecommunication Engineering, Indore, India. He has published 100+ technical research articles in reputed international conferences and journals, including IEEE and ACM Transactions. He is a Fellow of IETE, a Senior Member of ACM and IEEE USA, a Life member of ISTE and IUIAPR, a Member of IET. He has acted as Guest Editor at a special session of 29th ICONIP’22, Guest Editor at a special session of 04th ICDLAIR’22, Publicity Chair at 9th UPCON’2022, and Organizing Secretary at IEEE IC2E3'23.  His research interests include machine learning, deep learning, video processing, NLP, multimedia analysis, and cloud computing.

Webpage: https://dr-kk.github.io/-/index.html 

is an Associate Professor at the School of Electrical Sciences (Computer Science \& Engineering) at the Indian Institute of Technology Bhubaneswar, India. He has published 130+ research articles in international conferences/journals and patents in areas like applications of AI and ML in visual surveillance, intelligent transportation systems, computer vision, augmented reality, healthcare analysis, and multi-media analysis. He is a senior member of IEEE. His research interests include computer vision, image understanding, visual surveillance, and healthcare automation. Currently, he is focusing on new technologies in the domains of augmented reality, gesture recognition, and smart healthcare related innovations.

Webpage: https://www.iitbbs.ac.in/profile.php/dpdogra/

is a Senior Lecturer at the Department of Electrical Engineering, University of Houston, USA. Earlier he was General Manager of Samsung Electronics, India. He has played a pivotal role in establishing and nurturing research collaborations between Samsung Research Institute and leading universities, both in India and abroad. He has played a key role in the PhD research internship program of SRI, aiming to provide meaningful research opportunities to PhD students. He has published 50+ research articles in international conferences/journals and 6+ patents. He has successfully developed and deployed key technologies in multimedia analysis, biomedical signal analysis, and computational bioinformatics. His research interest includes signal and image processing, and healthcare bioinformatics.

Webpage: https://www.linkedin.com/in/ajit-bopardikar/ 

is a Vice President at Samsung Electronics since January 2009, is a key figure in advanced technology development and ecosystem collaboration, based in Bangalore. His expertise encompasses a wide range of areas including Generative AI/ML, metaverse technologies, computational imaging, and vision/voice/sensor intelligence, along with blockchain and IP multimedia solutions. Dr. Singh has been instrumental in establishing global leadership for Samsung’s smartphone camera technologies, including AI computational imaging and AR/VR solutions. His specialties cover a broad spectrum from computer vision to neural architectures, AR/VR, computational photography, and cloud services, contributing to Samsung's innovation in smartphones, IoT devices, wearables, and automotive technologies.

Webpage: https://www.linkedin.com/in/bssaini/?originalSubdomain=in

earned his PhD in 2022 from the University of Surrey, England, UK, specializing in computer vision and deep learning at the SketchX Lab, CVSSP, under Prof. Yi-Zhe Song and Prof. Tao (Tony) Xiang. Currently, He is a Senior Research Scientist at Sony PlayStation in London and Visiting Lecturer at University of Surrey, UK. Previously, he was integral at iSIZE, a deep-tech startup in London, leading the Compressed Video Denoising project. His contributions to the field are recognized through 25 CVPR, 4 ICCV, 3 ECCV, and 1 SIGGRAPH Asia publications.

Webpage: https://ayankumarbhunia.github.io/ 

is currently a Postdoc Fellow at the Bio-AI Lab, Department of Computer Science, UiT The Arctic University of Norway, Norway, and an Assistant Professor at the Department of Computer Science, Ashutosh College, India. He has published 75+ internationally peer-reviewed research articles. He has worked as an organizing member of several conferences like ReTIS, ICDEC, and COMSYS, and CICBA. He was also a member of the organizing team of the ICCV workshop entitled ``Resource Efficient Deep Learning for Computer Vision". He conducts research in image processing, pattern recognition, AI, optimization, computer vision, sustainable AI, and resource efficient deep learning.

Webpage: https://en.uit.no/ansatte/person?p_document_id=803544

is an Assistant Professor in the School of Computer Science and Engineering, XIM University, Bhubaneswar, India. Previously, he was Post-doctoral Research Fellow in the Department of Physics and Technology at the UiT The Arctic University of Norway, Tromsø, Norway. From 2009 to 2019, he was an Assistant Professor of Computer Application at Haldia Institute of Technology, India. He is a Senior Member of IEEE.

is a Lecturer at the Department of Information Technology, James Cook University, Australia. She has published 50+ international journal and conference articles. Her research focuses on sentiment detection from written text and emotion identification from face images, recurrent neural networks, and fuzzy classifiers. She has worked on deep learning with applications to text, audio, and video.

Webpage: https://research.jcu.edu.au/portfolio/iti.chaturvedi/

is a PhD Fellow at the Bio-AI Lab, UiT The Arctic University of Norway. He authored a comprehensive book on "Interpretability in Deep Learning" (Springer 2023) and secured fundings for summer school aimed at educating PhDs and industry professionals. He is the recipient of the Erasmus+ mobility grant, Samsung Innovation Awards and contributed as a Section Editor for the Nordic Machine Intelligence journal, reviewer for ISBI-2024, ICDEC-2023, ASCIS-2023, and as Technical Program Committee for ICONIP-2022.

Webpage: https://en.uit.no/ansatte/person?p_document_id=735525