Organizers

Ankit Jha is an Assistant Professor and an active researcher at the LNM Institute of Information Technology, Jaipur, India. His research focuses on computer vision, multimodal learning, and multi-task learning for remote sensing applications. His work also aligns with the use of vision-language models (VLMs) and prompt learning to improve domain adaptation and generalization in computer vision tasks. He is particularly interested in developing efficient and interpretable machine learning models that can adapt to diverse domains, making them robust for real-world geospatial applications.

Biplab Banerjee is an Associate Professor specializing in Machine Learning and Visual Computing at the Centre of Studies in Resources Engineering (CSRE) and the Center of Machine Intelligence and Data Science (MInDS) at IIT Bombay, India. His work focuses on various aspects of deep learning in image and video analysis, including learning under limited supervision, multi-task learning, vision-language models, domain adaptation and generalization, lifelong learning across domains, and multi-modal learning in vision.

Danfeng Hong is currently a Professor and PI with the Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), and the Deputy Director of the Key Laboratory of Remote Sensing and Digital Earth. Before joining CAS, He have been a Research Scientist and led a working group: Spectral Vision at Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR). He was an Adjunct Scientist with GIPSA-Lab, Grenoble INP, CNRS, Université Grenoble Alpes. He was also appointed as an AI consultant in the project of Helmholtz AI Cooperation Unit (HAICU). He received the doctoral degree from the Technical University of Munich (TUM) Munich, Germany, in 2019.

Moloud Abdar earned his Ph.D. from Deakin University. He is currently a Senior Data Scientist with the Faculty of Health, Medicine, and Behavioural Sciences at The University of Queensland, Brisbane, Australia. His research focuses on Uncertainty Quantification, Explainable AI (XAI), Information Fusion, Vision Language Models (VLMs), and Medical Data Analysis. 

Anmol Srivastav specializes in Human-Computer Interaction. In 2019, he received his Ph.D. from India’s pioneering UE and HCI Lab at IIT Guwahati. Anmol explores emerging technologies’ potential to facilitate utility, usability, and creative self-expression in various contexts and use cases. His research output has received several awards at the national and international levels. Before joining IIITD, he headed the UX & Interaction Design Program and the XR & IxD Lab at the School of Design, UPES (Dehradun). His current research focuses on AR/VR, the Metaverse, and Tangible User Interfaces. Besides being passionate about Design Education, he is also a strong proponent of maker culture.

Poulami Dalapati is currently an Assistant Professor with the Computer Science and Engineering department at The LNM Institute of Information Technology Jaipur, India. She received her B.Tech degree in Computer Science and Engineering from WBUT Salt Lake, Kolkata, India, in 2011, the M.Tech. degree in Computer Science from Birla Institute of Technology Mesra, Ranchi, India, in 2013, and the Ph.D. degree in Computer Science and Engineering (Artificial Intelligence) from the National Institute of Technology Durgapur, India, in 2018. Her research interests include Artificial Intelligence, Intelligent Transportation System, Internet of Vehicles, Digital Twin, Autonomous agent-based Systems, and Machine Learning.

Keshav Kaushik is a passionate Computer Science enthusiast, specializing in leveraging IoT and AI to tackle real-world challenges. He currently serves as an Assistant Professor at LNMIIT Jaipur. Previously, Keshav held postdoctoral and visiting researcher positions at the National University of Singapore and TU Dortmund, respectively. He earned his PhD from BITS Pilani Goa Campus, where he was recognized with several prestigious awards, including the ACM SigMobile Community Award, the Research Explorer Ruhr Award, and the Best PhD Thesis Award at BITS.

Lokendra Chauhan is the founder of Qen Labs Inc., a GeoAI focused venture studio based in Minnesota. He is a GeoAI expert from the industry, a startup investor, and A.I. and technology strategy advisor to companies and governments. He has received multiple federal government grants/contracts on GeoAI projects. He is the Co-chair of the GeoAI Domain Working Group at the geospatial industry’s global standards-making body, Open Geospatial Consortium. Lokendra is also on the Business Advisory Group of the University of Minnesota’s Technology Commercialization Office. His expertise lies in designing and developing GeoAI applications, A.I. product development, and research commercialization.