Speakers

Sara Beery

Dr Sara Beery is an assistant professor in MIT's Artificial Intelligence and Decision-Making Faculty. Her research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities, tackling real-world challenges, including geospatial and temporal domain shift, learning from imperfect data, fine-grained categories, and long-tailed distributions. She works toward increasing the diversity and accessibility of academic research in AI through interdisciplinary capacity building, founded the AI for Conservation Slack community, serves as the Biodiversity Community Lead for Climate Change AI, and founded and directs the Summer Workshop on Computer Vision Methods for Ecology. Homepage: https://beerys.github.io/

Olga Russakovsky

Dr. Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. Her research is in computer vision, closely integrated with the fields of machine learning, human-computer interaction and fairness, accountability and transparency. She has been awarded the PAMI Young Researcher Award, the NSF CAREER award, the AnitaB.org's Emerging Leader Abie Award in honor of Denice Denton, the CRA-WP Anita Borg Early Career Award, the MIT Technology Review's 35-under-35 Innovator award, the PAMI Everingham Prize and the Foreign Policy Magazine's 100 Leading Global Thinkers award. In addition to her research, she co-founded and continues to serve on the Board of Directors of the AI4ALL nonprofit dedicated to increasing diversity and inclusion in Artificial Intelligence (AI). She completed her Ph.D. at Stanford University and her postdoctoral fellowship at Carnegie Mellon University. Homepage: https://www.cs.princeton.edu/~olgarus/

Roni Sengupta

Dr Roni Sengupta is Assistant Professor of Computer Science at the University of North Carolina at Chapel Hill. Previously, she was a Postdoctoral Research Associate in Computer Science & Engineering at University of Washington, working with Prof. Steve Seitz, Prof. Brian Curless and Prof. Ira Kemelmacher-Shlizerman in the UW Reality Lab and GRAIL (2019-2022). She completed her Ph.D. (2013 - 2019) from University of Maryland - College Park (UMD), advised by Prof. David Jacobs and my undergraduate degree (2009-2013) in Electronics and Tele-Communication Engineering from Jadavpur University, Kolkata, India. She collaborated with NVIDIA Research, Snapchat Research, The Weizmann Institute of Science (Israel), and TU Dortmund (Germany). Homepage: https://www.cs.unc.edu/~ronisen/

Mansi Agarwal

Mansi Agarwal recently earned her Master's in Robotics from Carnegie Mellon University, where she had the privilege of working in the Robot Perceiving and Doing (RPAD) lab under the guidance of Prof. David Held. Her thesis primarily focused on deformable object manipulation using point clouds. With a deep passion for computer vision and artificial intelligence, Mansi has been actively engaged in research for the past eight years. She has also interned at Amazon Robotics and was a Robotics Institute Summer Scholar at CMU, supported by the SN Bose Scholarship.

Currently, Mansi is an Applied Scientist at Amazon Robotics, working in the ScanlessTech group. Her team is dedicated to developing innovative computer vision solutions to enhance the efficiency and ease of operations for warehouse associates.

Outside of her professional life, she is a national-level swimmer, a trained Kathak dancer, and an avid reader. Mansi is also deeply committed to promoting women in research. She has actively mentored several undergraduate students, helping them navigate their academic and professional journeys in the field of computer vision research.

Sachini Herath

Sachini Herath is a PhD student at the School of Computing Science, Simon Fraser University, completing her 4th year. She works on indoor localization and tracking via multi-modal data fusion, supervised by Prof. Yasutaka Furukawa, She has completed her MSc from Simon Fraser University and, BSc from University of Moratuwa. She had completed internships at Apple (2023), Samsung AI Center (2023) and Meta (2021). Homepage: https://sachini.github.io/

Deblina Bhattacharjee

Deblina is an incoming Assistant Professor of Computer Science at the University of Bath, UK, where she will lead the Visual Computing for Arts (VCA) Lab. She completed her postdoc in 2024 and PhD in 2023 in Computer Science at the Swiss Federal Institute of Technology (EPFL), focusing on the intersection of Computer Vision and the Arts. Her research encompasses style transfer, depth, multitask learning, multimodal learning, and 3D view synthesis. Prior to her doctoral studies, Deblina worked for two years at the Samsung-Postech Intelligent Media Research Center in South Korea, leading a large-scale computer vision project. Over the past decade, Deblina has published extensively in conferences such as CVPR, ICCV, WACV, AAAI, NeurIPS, and journals including IEEE Access, ACM, and Transactions in Machine Learning Research. She also serves as a reviewer for these venues. She is affiliated with the International Machine Learning Society (IMLS) and the Association for the Advancement of Artificial Intelligence (AAAI). Active in the Computer Vision community, Deblina organised the Women in Computer Vision Workshop (WiCV) at CVPR 2024 and is serving as the general chair of the AI for Visual Arts Workshop and Challenges (AI4VA) at ECCV 2024. She has made multiple appearances on the SuperDataScience podcast, reaching an audience of over 20,000 listeners. Being a Google Women Techmaker, Deblina is recognised for her outreach as a mentor for various non-profit initiatives aimed at teaching children and empowering women in technology. She is committed to promoting STEM in diverse communities, inclusive of all genders, sexual orientations, nationalities, and races. Homepage: https://deblinaml.github.io/