Currently, I serve as a professor at IBISC lab, Paris-Saclay University, France. I obtained my Ph.D. degree from Politecnico di Milano in Italy in 2019. I have been recognized by the Top 2% of Scientists Worldwide by Stanford University over the past four years (2021~2024). Additionally, I am the Associate Editor of the IEEE SMC Society eNewsletter. Since 2022, I have been an Associate Editor for esteemed IEEE journals, including IEEE Transactions on Automation Science and Engineering (IEEE TASE) and IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), and Advances in Mechanical Engineering. I also serve on the Early Career Advisory Board (ECAB) of Control Engineering Practice (CEP). Furthermore, I have served as a Guest Editor for the IEEE Transactions on Fuzzy Systems (IEEE TFS), IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), IEEE Robotics and Automation Letters (IEEE RAL), and Robotica. I have also contributed as an Associate Editor to leading conferences in the robotics field, such as the IEEE International Conference on Robotics and Automation (ICRA) and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), roles I have held for over five years.
<p>I have published over 120 papers in prestigious international journals and conferences. My work has been recognized with numerous awards, including the Outstanding Interaction Paper Award at the IEEE International Conference on Robotics and Automation 2022 (ICRA 2022), the 2021 Andrew P. Sage Best Transactions Paper Award for the IEEE Transactions on Human-Machine Systems (IEEE THMS), the Best Conference Paper Award in Advanced Robotics at the IEEE International Conference on Advanced Robotics and Mechatronics in 2020 (ICARM 2020), and the ICRA Travel Award funded by the IEEE Robotics and Automation Society in 2019.</p>
<p>My research interests span a wide range of topics, including Robotics, Human-Robot Interaction, Exoskeletons, Embodiment Intelligence, and Artificial Intelligence. We are currently excited to announce multiple openings for highly motivated and talented individuals to join our research team. We are seeking Postdoctoral Fellows, Ph.D. candidates, and Master's students who are passionate about advancing knowledge in their respective fields. Please don't hesitate to contact me if you need more information.</p>
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- Research Fellowship Grand Award, Politecnico di Milano, 2020
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PostDoc
Engineer
PhD Candidates
- Yujie Tang
- Desong Du, (With Prof. Naiming Qi)
Master Students
- Rick Staa
- Lars Lipman
- Mohamed Madi
- Niels Hakvoort
- Susan Portters
- Veronika Bojtár
- Shaohang Han
- Roy Vorster
- Serkan Şimşek
- Yuxiang Liu
Past PostDoc
- Dr Zhipeng Zhou, now Researcher at Alibaba DAMO Academy, China
- Prof Chengchao Bai, now Associate Professor at Harbin Institute of Technology, China
- Dr Qingrui Zhang, now Assistant Professor at Sun Yat-sen University, China
Past PhD Students
- Hongpeng Zhou, now PostDoc at Univesrity of Manchester, UK.
- Minghao Han, (with Prof. Lixian Zhang), now at ETH Zürich, Switzerland.
- Prof Chengwei Wu, (with Prof. Ligang Wu), now Assistant Professor at Harbin Institute of Techonology, China.
Past Master Students
- Coen van Gruijthuijsen, Thesis: Automated Machine Learning in Medical Image Segmentation
- Zixuan Wan, Thesis: Bayesian Deep Learning for Distilling Physical Laws from Videos
- Prakash Radhakrishnan, Thesis: Robust map building for robot navigation in dynamic environments
- Hao Li, Thesis: Reinforcement Learning Compensated Filter for Position and Orientation Estimation
- Ibrahim Chahine, Thesis: Bayesian Deep Learning for Dynamic System Identification
- Hao Ni, Thesis: Deep Learning for 4D Longitudinal Segmentation of MRI Brain Tissues and Glioma
- Ramkumar Sakthivel, Thesis: Towards Real-Time Human Pose Estimation for Mobile Device
- Robert Cornet, Thesis: Safe Reinforcement Learning for Automated Vehicles
- Arnoud Jonker, Thesis: Accelerating Neural Networks Embedded on a Microcomputer Trained on KITTI
- Tim Koning, Thesis: Low level quadcopter control using Reinforcement Learning: Developing a self-learning drone
- Julian von der Goltz, Thesis with Cum Laude: Classification of Damages on Aircraft Inspection Images Using Convolutional Neural Networks
- Akshay Bhoraskar, Thesis: Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques
- Mingxi Li (EECS, with Frans Oliehoek), Thesis: Efficient Neural Architecture Search for Language Modelling
- Yizhou Wang (EECS, with Zaid Al-Ars), Thesis: Binary Neural Networks for Object Detection
- Yuan Tian, Thesis: Model Free Reinforcement Learning with Stability Guarantee
- Minghao Yang, Thesis: Efficient Neural Network Architecture Search