Embedded Files
In alphabetical order:
Antonio Bicchi is a scientist interested in robotics, automatic control and haptics. He holds a chair in Robotics at the University of Pisa and leads the Soft Robotics Laboratory at the Italian Institute of Technology in Genova. His research work produced publications which have been widely used and cited, and earned him several awards, including a Pioneer Award in the IEEE Robotics and Automation Society. He helped start the WorldHaptics Symposium series, the IEEE Robotics and Automation Letters, and the Italian Institute of Robotics and Intelligent Machines. He is currently Editor in Chief of The International Journal of Robotics Research (IJRR).
Dr. Francesco Giorgio-Serchi (Member, IEEE RAS) is an Associate Professor at the University of Edinburgh, School of Engineering, and a member of the Edinburgh Centre for Robotics. He received the Laurea Degree (Msc equivalent) in Marine Science and Technologies from the University of Pisa, Italy, and the PhD in computational fluid dynamics from the University of Leeds, U.K. He was Marie Curie Fellow at the BioRobotics Institute, Scuola Superiore Sant’Anna, Italy, and later a Research Fellow with the Fluid-Structure-Interaction Group, University of Southampton, where he pursued research on soft underwater robots. Dr. Giorgio-Serchi then joined the University of Edinburgh as a Chancellor’s Fellow under the Data-Driven Innovation programme, where he worked on the design, sensing and control of soft robots, with particular emphasis on applications for the offshore sector.
Talk: Harnessing soft robots’ observability with flexible e-skins
Guoying Gu is a Professor of School of Mechanical Engineering, Shanghai Jiao Tong University, China. He was a Humboldt Fellow with University of Oldenburg, Germany. He was a Visiting Scholar at Massachusetts Institute of Technology, National University of Singapore and Concordia University. His research interests include soft robotics, bioinspired and wearable robots, smart materials sensing, actuation and motion control. He has authored or coauthored more than 150 publications, which have appeared in Science Robotics, Nature Biomedical Engineering, Nature Reviews Materials, Nature Materials, Nature Communications, Science Advances, IEEE/ASME Transactions, Advanced Materials, Soft Robotics, Science China serials etc., as book chapters and in conference proceedings. Dr. Gu was the recipient of the National Science Fund for Distinguished Young Scholars and the XPLORER PRIZE. He is currently an Associate Editor for Soft Robotics and was an Associate Editor for IEEE TRANSACTIONS ON ROBOTICS and IEEE ROBOTICS AND AUTOMATION LETTERS. He has also served for several journals as Editorial Board Member, Topic Editor, or Guest Editor, and several international conferences/symposiums as Chair, Co-Chair, Associate Editor, or Program Committee Member.
Dr-Ing. Abdeldjallil Naceri
Dr-Ing. Abdeldjallil Naceri
Abdeldjallil Naceri is a Senior Scientist and Team Lead at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich. He holds a BSc and MSc in Electronics and Control Systems and a PhD in Robotics from the University of Genoa in collaboration with the Italian Institute of Technology. His research focuses on human-robot interaction, grasping and manipulation, teleoperation, and digital twins. At MIRMI, he leads the Service Robotics and Human-Robot Interaction research line, managing projects on elderly care, AI-driven telepresence, and responsible robotics for trustworthy AI.
Talk: From Tactile to Care and Back: Dexterous Manipulation for Responsible Robotics
Dr. Melissa Zavaglia
Dr. Melissa Zavaglia
Dr. Melissa Zavaglia (more than 50 publications and 1972 citations, h-index 18 google scholar) received her PhD in Bioengineering at the University of Bologna in 2008. Before joining MIRMI at Technical University Munich in 2020 as senior scientist leading the Neural Interfacing Field, she worked at the University of Bologna and University Hospital Hamburg-Eppendorf. During these years, she performed research studies on the assessment of cortical connectivity among different brain areas during cognitive or motor tasks in healthy and tetraplegic subjects, using neural mass models. She also gained experience in developing theoretical mathematical models to simulate brain activity, as well as neural signal processing, and brain lesion analysis. Her current research focus is on invasive Brain Machine Interface (BMI). Her scientific production presently includes more than 50 publications (among them 30 on international journals and 3 on international books).
Talk: Neuroscience meets Robotics: building the bridge between the humans and the machines
Huichan Zhao is an Associate Professor in the Department of Mechanical Engineering at Tsinghua University. She received her Bachelor’s degree in Mechanical Engineering from Tsinghua University in 2012, and PhD degree from Cornell University in 2017. During 2017-2018, she was a postdoc at Harvard University. Her research interests include soft robotics, bioinspired robotics, smart materials, flexible sensors and actuators, etc. Some of her work were published in Nature, Science Robotics, Nature Communications, IEEE Transactions on Robotics, Advanced Functional Materials, etc. She serves as an Associate Editor of IEEE Transactions on Robotics. She was listed in the 30 under 30 Forbes China in 2018 and MIT Technology Review Innovators Under 35 China in 2020. She got the Xiong Youlun Zhihu Excellent Young Scientist Award and The Alibaba Damo Academy Young Fellow Award in 2021.
Page updated
Google Sites
Report abuse