Workshop on
Multispectral Imaging for Robotics and Automation
(MIRA)

Kailun Yang (Hunan University (HNU)) Kailun Yang is a Professor at the School of Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology at Hunan University. He earned his PhD in Information Sensing and Instrumentation from Zhejiang University, where he was jointly supervised by experts from Zhejiang University and the University of Alcalá. Prior to his PhD, he completed dual B.S. degrees in Measurement Technology and Instrumentation from Beijing Institute of Technology and Economics from Peking University. His postdoctoral research at the CV Lab, Karlsruhe Institute of Technology, focused on human-computer interaction under the guidance of Prof. Rainer Stiefelhagen. Kailun Yang’s research spans multimodal, high-dimensional, and full-view computational optics and vision, with applications in autonomous driving, blind assistance, intelligent transportation systems, and motion analysis. He has made countless contributions to the field of multispectral imaging, with notable works such as ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation, CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers, and CFMW: Cross-Modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions.

Rui Fan (Tongji University) Rui Fan received the B.Eng. degree in Automation from the Harbin Institute of Technology in 2015 and the Ph.D. degree in Electrical and Electronic Engineering from the University of Bristol in 2018. He worked as a Research Associate at the Hong Kong University of Science and Technology from 2018 to 2020 and a Postdoctoral Scholar-Employee at the University of California San Diego between 2020 and 2021. He began his faculty career as a Full Research Professor with the College of Electronics & Information Engineering at Tongji University in 2021, and was then promoted to a Full Professor in the same college, as well as at the Shanghai Research Institute for Intelligent Autonomous Systems in 2022. Prof. Fan served as an associate editor for ICRA'23/25 and IROS'23/24, an area chair for ICIP'24, and a senior program committee member for AAAI'23/24/25. He is the general chair of the AVVision community and organized several impactful workshops and special sessions in conjunction with WACV'21, ICIP'21/22/23, ICCV'21, and ECCV'22. He was honored by being included in the Stanford University List of Top 2% Scientists Worldwide between 2022 and 2024, recognized on the Forbes China List of 100 Outstanding Overseas Returnees in 2023, and acknowledged as one of Xiaomi Young Talents in 2023. His research interests include computer vision, deep learning, and robotics, with a specific focus on humanoid visual perception under the two-streams hypothesis.

Ukcheol Shin (Carnegie Mellon University) Ukcheol Shin is a postdoctoral researcher at the Robotics Institute of Carnegie Mellon University. His research focuses on developing a robust robot vision system that can perceive and navigate the dynamic world, even in challenging conditions, with a particular interest in self-supervised learning of 3D geometry and multi-sensor fusion. Dr. Shin has made significant contributions to the field of multispectral imaging, with a focus on topics such as thermal image segmentation and depth estimation on thermal images. Furthermore, he is one of the authors of the MS2 dataset, a valuable resource for the research community.

Ashutosh Mishra (BITS Pilani) Ashutosh Mishra is an academic and researcher specializing in Intelligent Systems. He holds a B.Tech. from Uttar Pradesh Technical University (2008), an M.Tech. from NIT Allahabad (2011), and a Ph.D. from IIT (BHU) Varanasi (2018). He was an Assistant Professor at NIT Raipur and received the Korea Research Fellowship in 2019. From 2019 to 2023, he was a Brain Pool Fellow at Yonsei University, South Korea. Currently, he is an Assistant Professor in the Department of Electrical & Electronics Engineering at BITS Pilani, Dubai. His research interests include smart sensors, intelligent systems, autonomous vehicles, convergence technology, and artificial intelligence.