Work with thought leaders and academic experts in Control and Systems Engineering

Companies can benefit from working with Control and Systems Engineering experts in various ways. These experts can provide innovative solutions to complex problems, optimize processes and systems, improve efficiency and productivity, enhance product quality and reliability, reduce costs, and ensure regulatory compliance. They can also help companies develop and implement advanced control strategies, design and optimize automation systems, conduct data analysis and modeling, and provide training and support. By collaborating with these experts, companies can gain a competitive edge, drive innovation, and achieve their business goals.

Researchers on NotedSource with backgrounds in Control and Systems Engineering include Aruna Ranaweera, Edoardo Airoldi, Tim Osswald, Athul Prasad, Dr. Justin W. Hart, Ph.D., Vivek Singh, Dr. KEHINDE ADEWALE ADESINA, Ph.D, Suhang Wang, Shubham Gupta, TuongThuy Vu, Mengying Li, Kayol Soares Mayer, Ph. D., Prof. Anantha Padmanabhan Kuppuswamy, PhD, ScD (Cambridge), and Denys Dutykh.

Aruna Ranaweera

Colombo
18 Years Experience
Professor at University of Kelaniya, PhD(Kyung Hee University, South Korea)
Education

Kyung Hee University - Global Campus

Doctor of Philosophy, Department of Electronics and Radio Engineering / February, 2017

Yongin

University of Kelaniya Faculty of Science

B.Sc., Department of Physics / March, 2006

Kelaniya
Experience

University of Kelaniya Faculty of Science

Professor / November, 2021 — Present

Lecturer / July, 2008 — Present

Assistant Lecturer / June, 2006 — February, 2008

Wayamba University of Sri Lanka

Lecturer / February, 2008 — June, 2008

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (17)
Wireless Power Transfer
Metamaterials
Supercapacitor Assisted Power Electronics
Electronic, Optical and Magnetic Materials
Surfaces, Coatings and Films
And 12 more
About
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.

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Education

Università Bocconi

B.Sc., Institute for Quantitative Methods

Milano

Carnegie Mellon University

Ph.D., School of Computer Science

Pittsburgh, Pennsylvania, United States of America
Experience

Harvard University

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (44)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 39 more
About
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.

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Tim Osswald

36 Years Experience
Polymers Professor - University of Wisconsin
Education

University of Illinois at Urbana-Champaign

PhD, Mechanical Engineering / January, 1987

Urbana, Illinois, United States of America

South Dakota School of Mines and Technology

M.S., Mechanical Engineering / May, 1982

Rapid City, South Dakota, United States of America

South Dakota School of Mines and Technology

B.S., Mechanical Engineering / May, 1981

Rapid City, South Dakota, United States of America
Experience

University of Wisconsin Madison

Professor / August, 1989 — Present

Rheinisch Westfalische Technische Hochschule Aachen

Humboldt Fellow / February, 1987 — June, 1989

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (45)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 40 more
About
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.

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Athul Prasad

17 Years Experience
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Education

Massachusetts Institute of Technology

Master of Business Administration, Sloan School of Management / May, 2020

Cambridge, Massachusetts, United States of America

Aalto-yliopisto Sähkötekniikan korkeakoulu

Doctor of Science (Technology), Communication and Networking / December, 2015

Aalto

Aalto University

M.Sc. (Tech), Wireless Communications / March, 2011

Espoo
Experience

Nokia Solutions and Networks Oy

Senior Specialist, Radio Research / June, 2014 — January, 2023

Wireless research, scientific publications, patents

Samsung Electronics

Senior Manager / January, 2023 — Present

Technology partnership, strategy, business development

NEC Europe Ltd

Research Engineer / December, 2012 — May, 2014

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (36)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 31 more
About
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.

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Dr. Justin W. Hart, Ph.D.

10 Years Experience
Professor at UT Austin specializing in artificial intelligence and human-robot interaction
Education

West Virginia University

BS, Computer Science / May, 2001

Morgantown, West Virginia, United States of America

Ph.D, Computer Science / December, 2014

New Haven, CT, Connecticut, United States of America

Cornell University

M.Eng, Computer Science / January, 2006

Ithaca, New York, United States of America
Experience

The University of Texas at Austin

Assistant Professor of Practice / September, 2017 — Present

University of British Columbia

Postdoctoral Fellow / December, 2014 — December, 2016

The University of Texas at Austin

Postdoctoral Fellow / December, 2016 — September, 2016

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (12)
Artificial Intelligence
Human-Robot Interaction
Philosophy
Control and Systems Engineering
Social Psychology
And 7 more
About
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.

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Vivek Singh

12 Years Experience
Rutgers Professor, MIT alum, CS PhD, AI expert
Education

University of California Irvine

Ph.D., Information and Computer Science / August, 2012

Irvine, California, United States of America
Experience

Rutgers, The State University of New Jersey

Associate Professor / July, 2020 — Present

Rutgers University New Brunswick

Assistant Professor / September, 2014 — June, 2020

Massachusetts Institute of Technology

Post-doctoral Associate / September, 2012 — August, 2014

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (25)
Human-centered Data Science
Human-centered AI
Computational Social Science
Behavioral Informatics
Algorithmic Fairness
And 20 more
About
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.

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Dr. KEHINDE ADEWALE ADESINA, Ph.D

Harlow
18 Years Experience
Assistant Professor in engineering (food, industrial and process) with quantitative and qualitative research in food processing, safefy, efficiency management, optimization and data analysis
Education

Eastern Mediterranean University

PhD, Industrial Engineering / September, 2018

Famagusta

Obafemi Awolowo University

MSc, Chemical Engineering / January, 2011

Ile-Ife

Ladoke Akintola University of Technology

BTech, Chemical Engineering / December, 2003

Ogbomoso
Experience

Near East University Nicosia/KKTC

Assistant Professor / November, 2018 — Present

Assistant Professor / November, 2018 — Present

Rufus Giwa Polytechnic

Lecturing/Lecturer 1 / January, 2006 — October, 2018

Lecturing/Lecturer 1 / January, 2006 — October, 2018

Eastern Mediterranean University

Research Assistant / September, 2017 — September, 2018

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (19)
Artificial Intelligence
Software
Management Science and Operations Research
Safety, Risk, Reliability and Quality
Information Systems
And 14 more
About
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.

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Suhang Wang

5 Years Experience
Professor at Pennsylvania State University
Education

Arizona State University

PhD, Computer Science / July, 2018

Tempe, Arizona, United States of America

University of Michigan

MS, Electrical Engineering: Systems / December, 2013

Ann Arbor, Michigan, United States of America

Shanghai Jiao Tong University

BS, Electrical and Computer Engineering / July, 2012

Shanghai
Experience

Pennsylvania State University

Assistant Professor / August, 2018 — Present

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (21)
Machine learning
Graph Mining
Theoretical Computer Science
Information Systems and Management
Computer Science Applications
And 16 more
About
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.

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Shubham Gupta

5 Years Experience
With over seven years of extensive experience in 3GPP standards, 5G core networks, satellite communication, post-quantum cryptography, and cybersecurity, I possess profound expertise in the telecommunications and IoT sectors.
Education

Visvesvaraya National Institute of Technology

PhD, computer science and engineering / September, 2019

Nagpur
Experience

sateliot

May, 2022 — Present

Kryptowire LLC

June, 2021 — February, 2022

Tampere University

post doc researcher / January, 2021 — May, 2021

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (15)
5G Network Security
Quantum Cryptography
Cybersecurity
Computer Science Applications
Electrical and Electronic Engineering
And 10 more
About
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

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TuongThuy Vu

27 Years Experience
Geospatial Scientist with over 20-year experiences focusing in data fusion and applications to environmental and disaster management. Also, 10-years experiences as manager and senior executive in higher education.
Education

Royal Institute of Technology

Docent, Geoinformatics

Stockholm

Asian Institute of Technology

DrEng, Remote Sensing and GIS / August, 2003

Pathumthani

Asian Institute of Technology

MEng, Remote Sensing and GIS / August, 2000

Pathum Thani
Experience

Curtin University Malaysia

January, 2020 — Present

Hoa Sen University

July, 2017 — December, 2019

University of Nottingham - Malaysia Campus

Associate Professor / January, 2013 — June, 2017

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (30)
Geospatial Data Science
Urban Remote Sensing
Disaster Monitoring
Global and Planetary Change
Earth-Surface Processes
And 25 more
About
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.

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Mengying Li

2 Years Experience
Assistant Professor at The Hong Kong Polytechnic University
Education

University of California, San Diego

Ph.D., Mechanical Engineering / July, 2018

San Diego, California, United States of America
Experience

The Hong Kong Polytechnic University

Assistant Professor / October, 2020 — Present

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (23)
Electrical and Electronic Engineering
Instrumentation
Renewable Energy, Sustainability and the Environment
Computer Science Applications
Control and Systems Engineering
And 18 more
About
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.

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Kayol Soares Mayer, Ph. D.

9 Years Experience
Researcher at State University of Campinas
Education

State University of Campinas

Ph.D. in Electrical Engineering, DECOM / November, 2022

Campinas

Pontifícia Universidade Católica do Rio Grande do Sul

Master of Science in Eletrical Engineering , School of Technology / March, 2018

Porto Alegre

Pontifícia Universidade Católica do Rio Grande do Sul

Bachelor of Engineering of Control and Automation, FENG / December, 2015

Porto Alegre
Experience

State University of Campinas

Researcher / January, 2023 — December, 2023

PUCRS

Intern / March, 2014 — January, 2016

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (17)
Telecommunications
machine learning
neural networks
Computer Networks and Communications
Electrical and Electronic Engineering
And 12 more
About
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.

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Prof. Anantha Padmanabhan Kuppuswamy, PhD, ScD (Cambridge)

44 Years Experience
Professor of Eminence, Materials Science and Engineering Program, Dept. of Mechanical Engineering, Anna University, India; formerly President & Provost (Director), Indian Institute of Technology, Kanpur, India
Education

University of Cambridge

PhD, Department of Materials Science & Metallurgy / February, 1972

Cambridge

Banaras Hindu University

B Sc (Met. Eng.), Department of Metallurgical Engineering / April, 1968

Varanasi
Experience

Anna University, Chennai

Professor of Eminence / November, 2015 — Present

University of Hyderabad

Distinguished Professor / September, 2004 — April, 2015

Indian Institute of Technology Kanpur

Director (President & Provost) of IIT Kanpur / October, 1997 — September, 2001

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (33)
Materials Science and Engineering
Metallurgy
Materials Processing
Mechanical Behavior of Materials
Organic Chemistry
And 28 more
About
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

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Denys Dutykh

16 Years Experience
Professional Applied Mathematician, Modeller, and Advisor
Education

École Normale Supérieure Paris-Saclay

PhD, Centre de Mathématiques et de Leurs Applications / December, 2007

Cachan
Experience

Centre National de la Recherche Scientifique

Research scientist / October, 2008 — August, 2022

Professional scientific research in the field of Applied Mathematics

Khalifa University of Science and Technology

Associate Professor / August, 2022 — Present

Professional research and educational activities in the field of Applied Mathematics

Most Relevant Research Expertise
Control and Systems Engineering
Other Research Expertise (51)
Applied mathematics
fluid mechanics
scientific computing
numerical methods
Fluid Flow and Transfer Processes
And 46 more
About
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.

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Example Control and Systems Engineering projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Control and Systems Engineering?

Optimizing Energy Consumption in Manufacturing

A Control and Systems Engineering expert can help a manufacturing company optimize energy consumption by designing and implementing advanced control strategies. This can result in significant cost savings and environmental benefits.

Improving Process Efficiency in Chemical Industry

By collaborating with a Control and Systems Engineering expert, a chemical company can improve process efficiency through the design and optimization of automation systems. This can lead to increased productivity, reduced waste, and improved product quality.

Enhancing Product Reliability in Automotive Industry

An automotive company can benefit from working with a Control and Systems Engineering expert to enhance product reliability. This can be achieved through the development and implementation of advanced control strategies, ensuring the safety and performance of vehicles.

Optimizing Supply Chain Operations in Logistics

Control and Systems Engineering experts can help logistics companies optimize supply chain operations by conducting data analysis and modeling. This can result in improved efficiency, reduced costs, and better decision-making.

Ensuring Regulatory Compliance in Pharmaceutical Industry

Collaborating with a Control and Systems Engineering expert can help pharmaceutical companies ensure regulatory compliance. These experts can design and implement control systems that meet industry standards and guidelines, ensuring product quality and patient safety.