He is the author of a textbook on algorithmic algebra and more than two hundred archived publications. He has advised and mentored more than 35 graduate students and post-docs in the areas of computer science, robotics and control engineering, applied mathematics, finance, biology and medicine. He holds 21 issued and 23 pending patents in areas ranging over robotics, model checking, intrusion detection, cyber security, emergency response, disaster management, data analysis, biotechnology, nanotechnology, genome mapping and sequencing, mutation calling, cancer biology, fintech, adtech, internet architecture and linguistics. His pioneering work includes: the first application of model checking to hardware verification; the first robotics technologies for grasping, reactive grippers and work holding; the first single molecule genotype/haplotype mapping technology (Optical Mapping); the first analysis of copy number variants with a segmentation algorithm, first whole-genome haplotype assembly technology (SUTTA), first clinical-genomic variant/base calling technology (TotalRecaller), and current work in progress continuing in the areas of nano mapping & sequencing/cytogenetics (Evizia), liquid biopsies (with Jee, et al.), cancer data (with Antoniotti, Bannon, Cantor, Ramazzotti, Zhavoronkov et al.), cyber security (with Casey, Novak et al.), linguistics (with Chakraborty, Tamaskar, Young et al.) and internet of the future (with Dubno, Savas, Weill et al.).

Prof. Mishra has a degree in Science from Utkal University, in Electronics and Communication Engineering from IIT, Kharagpur, and MS and PhD degrees in Computer Science from Carnegie-Mellon University. He is a fellow of IEEE, ACM and AAAS, a Distinguished Alumnus of IIT-Kgp, and a NYSTAR Distinguished Professor.

Professor Chen is Fellow of Singapore Academy of Engineering, Fellow of IEEE and Fellow of ASME, and the General Chairman of 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) in Singapore. His research interests are in logistics and construction robots, wearable devices, human-robot interaction and industrial automation.

Dr. Wang served several academic meetings and was General Chair of ROBIO2011, Cyber2014, and ROBIO2021, and Program Co-Chair of ICRA2011 and IROS2013. He is serving as the General Chair of ICRA2024 at Yokohama, Japan. From 2015 to 2017, he served as the AdCom member of IEEE RAS, and from 2018 to 2021, he served as the VP of the IEEE RAS EPSB board. His main research interests are human-robot interaction, distributed robotics, micro/nano-manipulation, and the application of cooperative robotics.

Yu Sun is a Professor in the Department of Computer Science and Engineering at the University of South Florida (Assistant Professor 2009-2015, Associate Professor 2015-2020, Associate Chair of Graduate Affairs 2018-2020). He was a Visiting Associate Professor at Stanford University from 2016 to 2017. He received his Ph.D. degree in Computer Science from the University of Utah in 2007. Then he had his Postdoctoral training at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA (2007-2008) and the University of Utah (2008-2009). His main research areas are robotics, intelligent systems, and medical and health applications. He initiated the IEEE RAS Technical Committee on Robotic Hands, Grasping, and Manipulation and served as its first co-Chair. He has published numerous research papers and received 15 U.S. patents and a 2018 USF Excellence in Innovation Award. He has also served on several other editorial boards as an Associate Editor and Senior Editor, including IEEE Transactions on Robotics, IEEE Robotics and Automation Letters (RA-L), IEEE Robotics & Automation Magazine, ICRA, IROS, and UR.

Dong Xu is Curators' Distinguished Professor in the Department of Electrical Engineering and Computer Science, with appointments in the Christopher S. Bond Life Sciences Center and the Informatics Institute at the University of Missouri-Columbia. He obtained his Ph.D. from the University of Illinois, Urbana-Champaign in 1995 and did two years of postdoctoral work at the US National Cancer Institute. He was a Staff Scientist at Oak Ridge National Laboratory until 2003 before joining the University of Missouri, where he served as Department Chair of Computer Science during 2007-2016 and Director of Information Technology Program during 2017-2020. Over the past 30+ years, he has conducted research in many areas of computational biology and bioinformatics, including single-cell data analysis, protein structure prediction and modeling, protein post-translational modifications, protein localization prediction, computational systems biology, biological information systems, and bioinformatics applications in human, microbes, and plants. His research since 2012 has focused on the interface between bioinformatics and deep learning. He has published more than 400 papers with more than 22,000 citations and an H-index of 76 according to Google Scholar. He was elected to the rank of American Association for the Advancement of Science (AAAS) Fellow in 2015 and American Institute for Medical and Biological Engineering (AIMBE) Fellow in 2020.

Xiaorui Zhu received her Ph.D. degree from the University of Utah, USA, in 2006, in robotics. She is currently the Director at Galaxy Artificial Intelligence and Robotics Research Institute in Singapore. She was a Professor at Harbin Institute of Technology (Shenzhen) during 2007-2020, and served as the Dean in Zhuhai Big Data Research Institute during 2020-2022. She was a Visiting Professor at Yale University in 2015 and at Stanford University from 2018 to 2019. She has also been Cofounders and Chief Scientists of several high-tech companies including DJI International Inc. and RoboSense Inc.. She has been recognized as Notable Women in Robotics at ICRA 2015 (Seattle, USA). She was in the organization committees of several flagship international conferences in robotics such as IEEE ICRA 2011, IEEE IROS 2014, and IEEE ICRA 2015. She is also the founding organization committee of Global Artificial Intelligence & Robotics Summit (GAIR Summit) since 2016. Her main research interests include social mobile robotics, unmanned aerial vehicles, autonomous driving.

Professor, FInstP, FBCS, University of Technology Sydney - neural network - neuromorphic - intelligent control - deep learning - memristor