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Northwestern University, USA
Plenary Speaker
Dr. Ankit Agrawal (Ph.D. 2009, B.Tech. 2006) is a Research Professor in the Department of Electrical and Computer Engineering at Northwestern University, USA, an Affiliate Faculty at Northwestern International Institute for Nanotechnology as well as at Northwestern Paula M. Trienens Institute for Sustainability, and an honorary professor at Amity University, India. He specializes in interdisciplinary artificial intelligence (AI), machine learning (ML), and deep learning (DL) via high-performance data mining, to develop customized AI solutions for big data problems with real-world impact. A pioneer in materials informatics (AI for materials), his research has contributed to various scientific and engineering disciplines, such as materials science, healthcare, social media, and bioinformatics.
He has co-authored 200+ peer-reviewed publications (100+ as first/last author) with 17,000+ citations (h-index: 50+), co-developed and released 20+ software, delivered 90+ invited/keynote talks at conferences, universities, and companies all over the world, been on program/organizing committees of 50+ conferences/workshops, and served as a PI/Co-PI on 20+ projects with a combined budget of over $100 million, funded by various US federal agencies (e.g., NSF, DOE, AFOSR, NIST, DARPA, DLA) as well as industry (e.g., Toyota Motor Corporation Japan). He is also serving as the Editor-in-Chief of Computers, Materials & Continua, and as the Specialty Chief Editor of HPC Applications section of Frontiers in HPC.
His AI/ML/DL expertise is routinely sought by industry, US federal agencies, international funding agencies, professional societies, academic publishers, etc. He is also regularly invited to speak about his work on interdisciplinary AI at conferences, workshops, panels, universities, companies, etc. He has received many honors and awards throughout his academic career, such as graduating department topper in CSE at IIT Roorkee, research excellence awards during his PhD at Iowa State University, and data science initiative awards and Hind Rattan Award while at Northwestern University. He has been featured in Stanford/Elsevier’s list of top 2% scientists, as well as named a ScholarGPS Top Scholar for being in top 0.5% of scholars worldwide in the fields of machine learning, deep learning, and informatics.
Universitat Politècnica de Catalunya (UPC), Spain
Plenary Speaker
Prof. Vicenç Puig holds a PhD in Automatic Control, Vision and Robotics and is the leader of the research group Advanced Control Systems (SAC) at the Polytechnic University of Catalonia, Barcelona, Spain. He has important scientific contributions in the areas of fault diagnosis and fault tolerant control using models interval models, and has participated in more than 20 international and national research projects in the last decade. He has also led many private contracts with several companies, and has published more than 80 articles in JCR journals and more than 350 in international conference/workshop proceedings. Prof. Puig has supervised over 20 PhD theses and over 50 master theses/final projects. He is currently the vice-chair of the IFAC SAFEPROCESS TC 6.4 (2014-2018).
York University, Canada
Plenary Speaker
Prof. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He received his Ph.D. degree from Harbin Institute of Technology, China, in 2002. His research progress is demonstrated through over 230 peer-reviewed journal and conference publications and 2 issued patents. Prof. Shan’s accomplishments in research and engineering education have seen him recognized with prestigious recognitions such as the Fellow of Canadian Academy of Engineering (CAE), the Fellow of Engineering Institute of Canada (EIC), the Fellow of American Astronautical Society (AAS), and a member of European Academy of Sciences and Arts (EASA). He serves the profession as the Associate Editor for several field-leading journals. He is the founding director of Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab) at York University.
University of California, Davis, USA
Keynote Speaker
Sanjay Joshi is Professor of Mechanical and Aerospace Engineering at the University of California, Davis, where he directs the UC Davis Robotics, Autonomous Systems, and Controls Laboratory. Dr. Joshi received a BS from Cornell University in 1990, and MS/PhD from UCLA in 1992/1996, all in Electrical Engineering. After his doctoral work, he became a member of the technical staff at the NASA Jet Propulsion Laboratory in Pasadena, California working on control systems and robotics. After joining academia, he began applying robotics and controls to the study of behavior, cognition, and human-machine interfaces. In 2000-2001, he served as Visiting Assistant Professor of Engineering at Harvey Mudd College. In 2010-2011, Dr. Joshi served as Visiting Associate Professor at Columbia University Medical School, New York City in the Department of Neurology. In 2014, he formed the UC Davis Neuroengineering and Medicine Initiative, which led to the UC Davis Center for Neuroengineering and Medicine. From 2020-2022, Dr. Joshi served as one of the founding Co-Directors of this center. He also currently serves on the leadership team for the UC Davis Center for Space Exploration Research. Dr. Joshi’s research interests include robotics, controls, neuroengineering, and space systems.
University of Michigan, USA
Keynote Speaker
I am an Associate Professor in the Mechanical Engineering Department at the University of Michigan. I completed my B.S.E. in aerospace and mechanical engineering (dual degree) and M.S. and Ph.D. in Electrical Engineering, all at the University of Michigan. Following my doctoral work, I worked as a post-doctoral researcher and senior engineer at the Toyota Technical Center in Ann Arbor, Michigan, conducting research related to the application of constrained optimal control approaches to the management of several competing objectives in advanced automotive powertrains. Following my time at Toyota, I served as a lead engineer for an MIT-based startup, Altaeros Energies, which is pioneering the design of a tethered wind energy system that uses a lighter-than-air shell to elevate a horizontal axis turbine to altitudes far in excess of towered turbines’ hub heights. I remain actively involved with Altaeros as a technical advisor to the team and devote a large fraction of my research efforts toward the dynamic characterization and control design of tethered wind energy systems. Prior to joining U of M, I served as an Assistant Professor at UNC-Charlotte, which is where the Control and Optimization for Renewables and Energy Efficiency (CORE) Lab was first established, and as an Associate Professor at NC State.