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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).
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
Chris Vermillion received his Ph.D. in Electrical Engineering from the University of Michigan in 2009 and received his undergraduate degrees in Aerospace and Mechanical Engineering from the University of Michigan in 2004. Immediately following his Ph.D. work, Dr. Vermillion worked on advanced automotive powertrain control, focusing on constrained optimal control approaches that simultaneously addressed the competing performance interests of fuel economy, emissions, drivability, and torque delivery. Subsequently he served as a Lead Engineer for Altaeros Energies and managed all of the dynamic modeling, control system design, software development, and embedded hardware development for Altaeros’ lighter-than-air wind energy system. Dr. Vermillion has participated in the full-scale fight testing of two of Altaeros’ designs. Dr. Vermillion is currently an Associate Professor at the University of Michigan, where his research focuses on the dynamic characterization, design optimization, and optimal control of airborne wind energy systems, marine hydrokinetic energy systems, and energy-efficient connected and autonomous vehicles. Dr. Vermillion was the recipient of the National Science Foundation’s CAREER Award in 2015, the UNC-Charlotte Maxheim Research Fellowship in 2016, the UNC-Charlotte College of Engineering Excellence in Teaching Award in 2017, the NC State Mechanical and Aerospace Engineering Research Award in 2021, and the NC Renewable Ocean Energy Program Edge Award in 2022.