Advisory Board and Editors Autonomous Systems
Hongfei Hou
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Jeffrey O Kephart
IBM Research scientist known for seminal work on computer virus epidemiology and immunology, emergent behavior of economies involving software agents, and autonomic (self-managing) computer systems. Author of over 150 refereed papers (h-index > 50) and over 30 issued patents. Led data center energy initiative resulting in multiple commercial offerings from IBM's software, systems and services divisions. Awarded IEEE Fellow for leadership and technical contributions to autonomic computing.
Bilal Khalid
Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, in 2021, and a master’s in International Business Management from Stamford International University, Bangkok, in 2017. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sutainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.
Xiaolong Li
Dr. Xiaolong Li is Professor and Chair of the Department of Electronics and Computer Engineering Technology at the Indiana State University. He received his PhD from Department of Electrical and Computer Engineering at the University of Cincinnati in 2006. He obtained his Bachelor degree and Master degree from Department of Electronic and Information Engineering at Huazhong University of Science and Technology, China. Dr. Li began his teaching and research with the Morehead State University in 2006 where he taught various courses in electronics and wireless communications. In 2008, Dr. Li joined the Indiana State University where he taught courses in Electronics and Computer Engineering, such as C programming, digital electronics, computer networking, networking security, etc. Dr. Li’s primary areas of research including modeling and performance analysis of Data mining, Internet of Things, Wireless Ad Hoc networks and sensor networks. He has published more than forty journal and proceedings articles in the above fields. He has served as topical editor and special issue editor for multiple journals. He also served as general chair and technical program committee chairs for multiple international conferences.
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Tariq Masood
Reader in Design, Manufacturing and Engineering Management, University of Strathclyde, Glasgow.
Interested in robotics, human-machine interaction, artificial intelligence, machine learning, computer vision, visual analytics and Industry 4.0.
Anand Nayyar
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Dr. Nayyar has published more than 350 Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed) with a high Impact Factor. He is a member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 25+ Books of Computer Science. Associated with more than 500 International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 5 Australian Patents to his credit in the area of Wireless Communications and Artificial Intelligence. He is currently working in the area of Wireless Sensor Networks, MANETS, Swarm Intelligence, Cloud Computing, Internet of Things, Blockchain, Machine Learning, Deep Learning, Cyber Security, Network Simulation, Wireless Communications. Awarded 27+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Editor-in-Chief of IGI-Global, USA-- (IJSVST)”.
Mario Negrello
Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).
Kok Yew Ng
I received a BEng (Hons) in Electrical and Computer Systems Engineering and a Ph.D. in Fault Diagnosis and Control System from Monash University in 2006 and 2009, respectively. I am now a Lecturer at the School of Engineering, Ulster University, UK, and I am attached to the Nanotechnology and Integrated BioEngineering Centre (NIBEC). My research interests include fault diagnosis, vehicular systems, modelling, and data analytics for anomaly detection and classification.
In 2014–2015, I was a postdoctoral researcher at the Division of Vehicular Systems, Linköping University, Sweden, where I worked with Volvo Car Corporation (VCC) on advanced fault diagnosis schemes in vehicular engines using model-based and data-driven methods.
I am also a co-investigator in SAFEWATER, a £5 million project funded by GCRF, where I lead the development and the optimisation of embedded algorithms in the SAFEWATER project. These embedded algorithms will be used for controlling the low-cost water disinfection technologies that are being developed during the SAFEWATER project.
I am also an Adjunct Senior Research Fellow with Monash University Malaysia where I served as a Lecturer from 2009, and subsequently a Senior Lecturer till 2017.
I am a Senior Member of the IEEE.
I am the Moderator for the IEEE TechRxiv and the Associate Editor of IEEE Access.
Charles Ofria
Professor of Computer Science at Michigan State University; Director of the Digital Evolution Laboratory and Deputy Director of the BEACON Center for the Study of Evolution in Action.
Charles Ofria director of the Digital Evolution Laboratory. He conducts research on evolution in artificial systems and applies the results to problems in computer science and evolutionary biology. He developed Avida, a software-based research platform consisting of populations of 'digital organisms used in biological research. His work has been published in Science and Nature and his research has received international media attention in forums such as Discover Magazine, National Geographic, CNN, the BBC, New Scientist, and the New York Times.