Organizers

Organizers

Dr. Graham Neubig, Associate Professor, Language Technologies Institute, Carnegie Mellon University:

• A prominent figure in machine learning and natural language processing, with extensive work on large language models, question answering, code generation, and evaluation. His academic leadership and experience organizing workshops (e.g., ACL 2017 workshop on neural machine translation) are invaluable.

• Relevant Expertise: Machine learning and natural language processing, with a focus on large language models, question answering, code generation, multilingual processing, and evaluation/interpretability. Extensive experience organizing workshops.

Dr. Yonatan Bisk, Assistant Professor, Language Technologies Institute, Carnegie Mellon University:

• His research theme cover Natural Language Processing with an emphasis on grounding and embodiment. His extensive experience as a program committee member for major conferences (NeurIPS 2023, ICLR 2024) will be critical for ensuring a high-quality review process. 

• Relevant Expertise: Natural Language Processing (NLP) with an emphasis on grounding and embodiment. Extensive experience as a program committee member for major AI conferences.

Dr. Hideo Saito, Professor, Department of Information an Computer Science, Keio University:

• He specializes in computer vision, pattern recognition, computational photography, and their XR applications. He has significantly contributed to academia, serving as Program Chair for ACCV 2014 and General Chair for ISMAR 2015, and receiving the ISMAR 2023 Best Journal Paper Award. He has organized multiple workshops at international conferences, such as IWDR at ISMAR (2015-2016), HDC at WACV (2017) and ACM MMSports at ACM Multimedia (2018-2025). 

• Relevant Expertise: Computer vision, vision based sensing and recognition, human behavior sensing / recognition and its applications. Extensive experience as a program committee member for major CV/XR related conferences.

Dr. Atsunori Moteki, Principal Researcher, Artificial Intelligence Laboratory, Fujitsu Limited:

• His research interests lie in the implementation of Agentic AI, Computer Vision and Human Computer Interaction (including XR) in manufacturing and retail environments. Recently his team proposed a benchmark for AI agents that support on-site field work. 

• Relevant Expertise: Agentic AI, Computer vision, Human Computer Interaction and its applications. 

Steering Committee

• Organizing Committee + 

Program Committee

• Organizing Committee + Steering Committee + 

• Priyam Basu, Grammarly

• Shoichi Masui, Agent Research Collective

• Taiki Sekii, CyberAgent, Inc.

• Ryo Hachiuma, NVIDIA

• Tianyi Yao, Microsoft

• Rafael Pardinas, ServiceNow, Inc.

• Ehsan Kamalloo, ServiceNow, Inc.

• Khyati Mahajan, ServiceNow, Inc.

• Nicolas Gontier, ServiceNow, Inc.

• Sebastien Paquet, ServiceNow, Inc.

• Massimo Caccia, ServiceNow, Inc.

• Léo Boisvert, ServiceNow, Inc.

• Hadi Nekoei Qachkanloo, Mila - Quebec AI Institute

• Megh Vipul Thakkar, Université de Montréal

• Dheeraj Vattikonda, McGill University

• Moyuru Yamada, Fujitsu Research of India Private Limited

• Kiran Purohit, Fujitsu Research of India Private Limited

• Wei-Peng Chen, Fujitsu Research of America, Inc.

• Shailaja Keyur Sampat, Fujitsu Research of America, Inc

• So Hasegawa, Fujitsu Research of America, Inc.

• Mehdi Bahrami, Fujitsu Research of America, Inc.

• Fan Yang, Fujitsu Research of America, Inc.

• Lei Liu, Fujitsu Research of America, Inc.

• Fangjun Wang, Fujitsu Research and Development Center Co. Ltd.

• Takuto Sato, Fujitsu Ltd.

• Junya Fujimoto, Fujitsu Ltd.

• Satoshi Munakata, Fujitsu Ltd.

• Satoru Takahashi, Fujitsu Ltd.

• Kenichirou Narita, Fujitsu Ltd.

• Taku Fukui, Fujitsu Ltd.

• Siqi Peng, Fujitsu Ltd.