Innoligent Technologies GmbH leverages AI to drive innovation in mRNA protein folding, intelligent robotics, and quantitative trading. We use advanced algorithms to accelerate drug discovery, develop autonomous robotic systems for improved efficiency, and create data-driven strategies for optimized investment returns. Our mission is to transform industries through smarter, AI-powered solutions.
Dr. Xiao Xu is currently a senior researcher at the Department of Computer Science and Information Technology at the Technical University of Munich. In 2004, he was admitted directly into the joint program at Shanghai Jiao Tong University. From 2009 to 2016, he obtained both his Master's and PhD degrees from the Technical University of Munich. Currently, he leads a team of 5 PhD students and 8 Master's students at the Department of Computer Science and Information Technology. Dr. Xu has participated in the development of L4 autonomous driving systems for Germany's three major automotive manufacturers. His current research focuses include intelligent robotics, sensor fusion, human-robot interaction, teleoperation, haptic signal processing, and communication.
Qiuhai Guo studied Information Engineering at the Department of Electrical and Information Engineering at the University of Kaiserslautern from 2012 to 2016, earning a Bachelor's degree. In 2016, he began his Master's studies in Information Engineering at the Technical University of Munich (TUM) and graduated in 2019. Since 2020, he has been working as a Chief Researcher at a German technology company, where he is responsible for projects related to internet technology and company operations management.
Zebing Jiang received the B.Sc. degree in Electrical Engineeringand Information Technology from University of Duisburg-Essen, Duisburg, Germany, in 2022, and currently purchasing the M.Sc. degrees at the Technical University of Munich (TUM), Munich, Germany. Since 2024, he works in the research field of human-objects interaction detection. His research interests include human-object interaction, robotic grasping and multi-modality perception .
Muhammad Umer Abbasi is pursuing a Master's in Communications Engineering at TUM and hold a Bachelor's in Electrical Engineering from the National University of Sciences and Technology (NUST), Pakistan. He specializes in deep learning and computer vision, with practical expertise in developing and training deep learning models for tasks like human activity recognition, pose estimation, and image segmentation.