Advisory Board and Editors Robotics
Zhaojie Ju
Zhaojie Ju (M'08-SM'16) received a BSc degree in automatic control and a MSc degree in intelligent robotics from the Huazhong University of Science and Technology, China. He received a Ph.D. degree in intelligent robotics from the University of Portsmouth, U.K. He held research appointments at University College London, London, U.K., before he started his independent academic position at the University of Portsmouth, in 2012. He has authored or co-authored over 200 publications in journals, book chapters, and conference proceedings, and received five Best Paper Awards, one book award, and one Best AE Award in ICRA2018. His research interests include machine intelligence, pattern recognition and their applications on human motion analysis, multi-fingered robotic hand control, human–robot interaction and collaboration, and robot skill learning.
Takayuki Kanda
Takayuki Kanda is a Group Leader at ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan. He is one of the starting members of Communication Robots project at ATR. He has developed a communication robot, Robovie, and applied it in daily situations, such as peer-tutor at elementary school and a museum exhibit guide. His research interests include human-robot interaction, interactive humanoid robots, and field trials.
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.
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.
Natalia Kryvinska
Prof. Natalia Kryvinska is a Full Professor and a Head of the Information Systems Department, at the Faculty of Management, Comenius University in Bratislava, Slovakia. Previously, she served as a University Lecturer and a Senior Researcher at the eBusiness Department, University of Vienna's School of Business Economics and Statistics.
She received her Ph.D. in Electrical & IT Engineering from the Vienna University of Technology in Austria, and a Docent title (Habilitation) in Management Information Systems, from the Comenius University in Bratislava, Slovakia. She obtained her Professor title and was appointed for the professorship by the President of the Slovak Republic.
Her research interests include Complex Service Systems Engineering, Service Analytics, and Applied Mathematics.
Yangming Lee
Dr. Lee is an Assistant Professor with Rochester Institute of Technology,
Rochester, NY, USA. Before this appointment, he held the positions as an Acting Instructor with the University of Washington, Associate Professor with the Institute of Intelligent Machines, Chinese Academy of Sciences, and Post Doc with the University of Michigan.
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.
Qinggang Meng
Dr. Qinggang Meng is a Professor of Robotics and Artificial Intelligence in the Department of Computer Science, Loughborough University. He obtained his PhD from the Department of Computer Science, UWA in the area of AI and robotics.
Dr. Meng's research interests in robotics, unmanned aerial vehicles, driverless vehicles, networked systems, ambient assisted living, computer vision, AI and pattern recognition, machine learning and deep learning, both in theory and applications.
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.