Work with thought leaders and academic experts in control systems engineering

I am dedicated and passionate about inspiring and engaging my students in an effective learning process to generate new knowledge, do innovations, engage in technology transfer, and enhance human capital through interdisciplinary and collaborative research for the well-being of academia, industry, and society.

Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.

T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.

Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.

My research focuses on expanding the places where robots can be deployed. My lab, the Living with Robots Laboratory, has the mission of seeing robots in every home and workplace. To that end, I work on technologies to enable robots to operate in places designed for people, and technologies to enable robots to better interact with people. I am on the executive committee for RoboCup@Home. I am an assistant director of the UT Austin robotics research consortium, Texas Robotics. I am an associate editor for top conferences and journals in robotics. I work on problems relating to autonomous social human robot interaction, artificial intelligence, and robotics architectures.

Vivek Singh is a highly accomplished computer scientist and researcher. He earned his Ph.D. in Information and Computer Science from the University of California Irvine in 2012. During his time at UC Irvine, he focused on research in the areas of natural language processing and machine learning. After completing his Ph.D., Singh joined Massachusetts Institute of Technology as a post-doctoral associate, where he worked on developing algorithms for large-scale data analysis and information retrieval. In 2014, Singh joined Rutgers University as a faculty member in Information Science and Computer Science. As a faculty member at Rutgers, he has published numerous papers in top computer science journals and conferences and has received several grants for his research. Singh's research interests include natural language processing, generative AI, and social computing. He has a particular interest in developing algorithms for analyzing large datasets and extracting valuable insights from them. His work has been applied to various domains, including social media, healthcare, and finance. He has multiple patents, and has experience consulting with early and late-stage (unicorn) startups. His work has led to multiple grants, awards, funding, patents, and deployed products.

Dr. KEHINDE ADEWALE ADESINA, Ph.D is a highly educated and experienced individual in the field of Industrial Engineering, Process, and Food Engineering. He obtained his PhD in Industrial Engineering from Eastern Mediterranean University in 2018, where he focused on research related to optimization and process improvement in manufacturing industries. Prior to his PhD, Dr. Adesina completed his Master's degree in Chemical Engineering from Obafemi Awolowo University in 2011 and his Bachelor's degree in Chemical Engineering from Ladoke Akintola University of Technology in 2003. Dr. Adesina has also gained valuable teaching experience as an Assistant Professor at Near East University Nicosia/KKTC and as a Lecturer at Rufus Giwa Polytechnic. He has taught a variety of courses related to industrial engineering, food engineering, chemical engineering, and research methodology. In addition to his teaching experience, Dr. Adesina has also worked as a Research Assistant at Eastern Mediterranean University, where he conducted research on various industrial engineering topics. Through his education and experience, Dr. Adesina has developed a strong understanding of industrial engineering principles and techniques, as well as a passion for research and teaching. He continues to contribute to the field through his academic work and is dedicated to helping students and industries improve their processes and operations.

Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.

Expertise in investigation of key security issues of mobile authentication protocols (LTE, 5G) and designing efficient and secure key agreement protocols. Expertise in verification and proving the correctness of security protocols by software simulation and mathematical modelling Advanced knowledge of public key infrastructure (PKI), digital signatures, hash functions, and key management Understanding of the effects of quantum computing on cryptography, along with proficiency in post-quantum cryptographic (PQC) algorithms and Quantum Key Distribution (QKD) Led a research project on integrating QKD into 5G networks for secure communication and designed an API for QKD data exchange, introducing a QKD-secured 5G service between satellites and ground devices. Participating and leading in various European Union projects, including SNS-JU, Horizon, as well as national projects

Professor Vu, a geospatial scientist by training and research, boasts two decades of expertise spanning Eurasia. Following his PhD in 2003, he commenced his journey as a research scientist at the Earthquake Disaster Mitigation Research Center in Kobe, Japan, before transitioning to a postdoctoral role at Chiba University from 2006 to 2007. Throughout his tenure in Japan, he directed his efforts towards leveraging geospatial technologies for disaster mitigation and management. Subsequently, he joined the GEOGrid team at the National Institute of Advanced Industrial Science and Technology (AIST), delving into research on high-performance computing platforms. His academic journey continued with a teaching stint at the Royal Institute of Technology in Sweden, before assuming roles at the University of Nottingham Malaysia Campus and later Hoa Sen University in Vietnam, where he ascended to the position of Vice-President. Presently, as a Professor and Dean of Engineering and Science at Curtin University Malaysia, Professor Vu's contributions extend beyond academia. Recognized as a Docent by the Royal Institute of Technology in Sweden, he holds esteemed memberships in various professional bodies, including the Open Source Geospatial Foundation and IEEE. Additionally, he is honored as a Fellow and council member of the ASEAN Academy of Engineering and Technology (AAET), as well as a Fellow of the Higher Education Academy.

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

I am a Researcher at the University of Campinas - Unicamp. I received both B.Eng. degree in Automation and Control Engineering and M.Sc. degree in Electrical Engineering from the Pontifical Catholic University of Rio Grande do Sul - PUCRS in 2016 and 2018, respectively. I received my Ph.D. degree in Electrical Engineering from Unicamp in 2022. My current research interests include digital communications systems, adaptive DSP, and machine learning.

Prof. Anantha Padmanabhan Kuppuswamy is a renowned scientist and academician with extensive experience in the field of materials science and metallurgy. He completed his B Sc in Metallurgical Engineering from Banaras Hindu University in 1968 and went on to obtain his PhD from the University of Cambridge in 1972. Prof. Kuppuswamy has held various prestigious positions in his career, including being a Professor of Eminence at Anna University in Chennai, a Distinguished Professor at the University of Hyderabad, and the Director of IIT Kanpur. He has also served as a Professor at IIT Madras. His research interests include materials characterization, mechanical behavior of materials, and nanomaterials. He has published numerous papers in international journals and has received several awards and honors for his contributions to the field of materials science. Apart from his academic achievements, Prof. Kuppuswamy is also known for his dedication to teaching and mentoring students. He has guided several PhD students and postdoctoral fellows, many of whom have gone on to have successful careers in academia and industry. In recognition of his contributions to the field, Prof. Kuppuswamy has been elected as a Fellow of the Indian National Science Academy, the Indian Academy of Sciences, and the Indian National Academy of Engineering. He has also received the prestigious Lifetime Contribution Award in Engineering 2020 from the Indian National Academy of Engineering. https://en.wikipedia.org/wiki/K.A.\_Padmanabhan https://scholar.google.co.in/citations?user=CNpGoFsAAAAJ&hl=en

Dr. Denys Dutykh initially comes from the broad field of Applied Mathematics. He did his Master's degree in numerical methods applied to the problems of Continuum Mechanics and a Ph.D. thesis at Ecole Normale Supérieure de Cachan (France) on the mathematical modeling of tsunami waves. After this, he was hired as a permanent research scientist at the Institute of Mathematics (INSMI) at the Centre National de la Recherche Scientifique (CNRS). His research activities have been conducted in the following years at the picturesque University Savoie Mont Blanc (USMB, France) in the field of mathematical methods applied to the modeling and simulation of nonlinear waves (mostly in Fluid Dynamics). The Habilitation thesis of Dr. Dutykh was defended there on the topic of the mathematical methods in the environment. Since then, his research interests have significantly broadened to include the Dimensionality Reduction methods in Machine Learning, modeling of PV panels, and even some more theoretical questions in the Number Theory.