Organisers

Dr. Amit Gupta: Dr Amit Gupta is an experienced AI and Computer Vision Research Leader actively working on creating cutting edge computer vision algorithms and real-world AI products. His main work experience has been in Research and Management related to Artificial Intelligence (Machine Learning methods such as Deep Learning, Probabilistic Models) for computer vision applications. The algorithms he has developed cover a broad spectrum of topics such as sports and surveillance video data analytics, image & video compression, watermarking and data embedding in images. He is an inventor (or co-inventor) on more than 18 Aus/US patent applications. He is the co-founder of VueMotion - a human movement analysis company and founder DVIEW AI - a computer vision/intelligent data pipeline company. He has been on the advisory board for School of EE - UNSW and Vantage Circle and many other companies/organisations. 

Dr. Vinay Kaushik: Dr. Vinay Kaushik is an Assistant Professor at Department of Computer Science and Engineering, Indian Institute of Information Technology Sonepat, specializing in Computer Vision with a Ph.D. from IIT Delhi. His expertise spans depth prediction, camera egomotion, and self-supervised learning, with a research focus on SLAM, Spatial AI, Generative AI, and Adversarial Learning. He leads the implementation of the National Education Policy at the institute. His AI-driven work in phenomics and plant phenotyping, as well as human motion analysis, is widely recognized. Previously a Research Scientist at VueMotion Labs, he developed algorithms for automated human movement measurement using phone cameras. Dr. Kaushik has published in top conferences like ICCV, WACV, and IROS, with notable contributions in monocular depth prediction and multi-task learning. He has organized workshops in plant phenomics and human motion analysis and received the Visvesvaraya Fellowship and multiple travel grants. A dedicated mentor, he continues to advance AI and computer vision research.

Dr. Jianquan Liu: Dr. Jianquan Liu is currently a principal researcher at the Biometrics Research Laboratories of NEC Corporation, working on the topics of multimedia data processing. He is also an adjunct assistant professor at Graduate School of Science and Engineering, Hosei University, Japan. Prior to NEC, he was a development engineer in Tencent Inc. from 2005 to 2006, and was a visiting researcher at the Chinese University of Hong Kong in 2010. His research interests include high-dimensional similarity search, multimedia databases, web data mining and information retrieval, cloud storage and computing, and social network analysis. He has published 50+ papers at major international/domestic conferences and journals, received 20+ international/domestic awards, and filed 40+ PCT patents. He also successfully transformed these technological contributions into commercial products in the industry. Currently, he is/was serving as the General Co-chair of IEEE MIPR 2021; the PC Co-chair of IEEE ICME 2020, AIVR 2019, BigMM 2019, ISM 2018, ICSC 2018, ISM 2017, ICSC 2017, IRC 2017, and BigMM 2016; the Workshop Co-chair of IEEE AKIE 2018 and ICSC 2016; the Demo Co-chair of IEEE MIPR 2019 and MIPR 2018. He is a member of ACM, IEEE, IPSJ, APSIPA and the Database Society of Japan (DBSJ), a member of expert committee for IEICE Mathematical Systems Science and its Applications, and IEICE Data Engineering, and an associate editor of IEEE MultiMedia Magazine and the Journal of Information Processing (JIP). Dr. Liu received the M.E. and Ph.D. degrees from the University of Tsukuba, Japan.

Prof. Vittorio Murino: Prof. Vittorio Murino is a Full Professor at the University of Verona, Department of Computer Science, in Verona, Italy, and serves as the Principal Investigator of the AIGO - AI for Good research line at the Italian Institute of Technology (IIT). Previously, he was an affiliated researcher with IIT’s Pattern Analysis & Computer Vision (PAVIS) research line, where he was the founding director from 2009 to 2019. Between 2019 and 2021, he worked as a Senior Video Intelligence Expert at the Huawei Ireland Research Centre in Dublin. Prof. Murino’s expertise spans computer vision, pattern recognition, machine learning, image and signal processing, and neuroimaging. His current research focuses on deep learning, including domain adaptation and generalization, multimodal models, learning with privileged information, and addressing challenges like zero/one/few-shot learning, imbalanced data, and disentangled representations. Applications of his work include activity recognition, human behavior analysis for security and surveillance, human-machine interaction, and retail intelligence. In the biomedical domain, Prof. Murino is actively engaged in neuroimaging research, particularly using connectomics approaches to study neural correlates of social behavior and brain function in conditions like schizophrenia and autism. He has also contributed to underwater vision, sensory integration, and object detection in acoustical and optical settings. With over 400 scientific publications, Prof. Murino’s work highlights his dedication to advancing AI methodologies and applications, particularly in scenarios involving imperfect, multimodal, or limited data. His research interests also extend to generative AI, lightweight machine learning, and explainable and trustworthy AI.

Dr. Prerana Mukherjee: Dr. Prerana Mukherjee is currently working as Assistant Professor, Department of Computer Science, School of Engineering, JNU. Previously, she was working as Assistant Professor, CSE at IIIT Sri City from Nov 18 - Mar 20. She has been actively involved in guiding 40+ B.Tech, 6 M.Tech. and currently guiding 2 PhD students in the areas of Computer Vision and interjunction of IoT and CV. She has led as a director an initiative named Celestini Project India 2017, 2018 & 2019 in collaboration with Marconi Society, Google Brain and IIT Delhi which encourages undergrad students to work on socio-economic problems in India. Under this initiative, an android app Air Cognizer was developed which helps Delhi citizens to predict the air quality index which has been showcased in TensorFlow Dev Summit 2019 and covered in leading media coverages. Apart from that, solutions to road safety in chaotic Indian track scenarios and air pollution forecasting in Delhi have been developed. Prior to that, she completed her PhD (IIT Delhi) on research problem statement of Salient Object Localization and Segmentation;. She received M. Tech from Delhi Technological University (DTU) in 2013. She has published several papers in top-tier conferences and journals and member to several reputed professional bodies such as IEEE Senior Member SPS, IUPRAI Life Member, Computer Vision Foundation (CVF) member, INSTICC member, MIR Labs. Her research interests include broad areas of vision (2D, RGBD & 3D point cloud-based object localization & tracking, scene analysis, remote sensing and image/video processing), Learning Problems (Generative models, deep learning, sequential modelling and transfer learning), Biometrics, Pattern Recognition, Data Mining.

Prof. Brejesh Lall: Prof. Brejesh Lall is a distinguished academic and researcher in the field of Signal Processing. He earned his PhD in Multirate Signal Processing from IIT Delhi in 1997. Following his doctorate, he spent nearly eight years at Hughes Software Systems, where he contributed to source coding and PHY layer solutions for various communication technologies, including terrestrial wireless, GEO and LEO satellite systems, and satellite broadband. Since joining the Electrical Engineering Department at IIT Delhi in 2005, Prof. Lall has been actively engaged in teaching, research, and mentorship. Over his tenure, he has graduated 29 PhD students and currently supervises 20+ research scholars. He has led over 47 sponsored projects and consultancies, with a cumulative budget exceeding ₹70 crores. His research spans diverse areas of signal processing, including object representation, tracking and classification, odometry, depth map generation, and underwater acoustic communications using vector sensors. He is also exploring performance challenges in molecular communications. Prof. Lall has served in several leadership roles, including as the former Head of the Bharti School of Telecommunication Technology and Management. He currently coordinates the Airtel IIT Delhi Centre of Excellence in Telecommunications and the Ericsson IIT Delhi 5G Centre of Excellence and oversees an IoT laboratory established in collaboration with Samsung. He is also the NCC Coordinator for IIT Delhi. Beyond academia, Prof. Lall has mentored five startups in areas such as virtualization, geo-fencing, UAV-based solutions, and data mining. His expertise is widely recognized, and he has provided technical guidance to numerous government and private organizations. His career reflects a commitment to advancing signal processing research and translating innovative technologies into practical applications.