Keynote Speakers
Prof. Ting Yang
Tianjin University, China
Research Area: Energy & Power, Internet of Things, Artificial Intelligence, Intelligent Manufacturing
Research Experience: Prof. Ting Yang, doctoral supervisor, is a discipline leader in the School of Electrical and Information Engineering, Tianjin University. He is the deputy director of the national "distributed energy and micro grid" international science and technology cooperation base and the deputy director of Tianjin "Energy Internet” International Joint Research Center. As the largest contributor, he has won two provincial and departmental science and technology progress awards and some enterprise science and technology progress awards. He has published more than 100 SCI/EI papers, 4 monographs and 2 international invention patents in top academic journals in China and abroad. He has served as the session chair of several IEEE international conferences. He also served as the editor in chief or member of the Editorial Committee of several SCI journals. He is the special editor in chief of "Application of artificial intelligence in power system and energy Internet"(which won him the "Outstanding Special Editor Award" in 2018) of “Journal of Power System Automation”, and the special editor in chief of "Ubiquitous Power Internet of Things (UPIOT)" of “Journal of Power Construction”. He is now the deputy director of circuit and system branch of China Electronics Society, the national director of sensor sub committee of China Instrumentation Society and a member of the theoretical electrician special committee of China Electrical Engineering Society. His main research interests include energy & power, Internet of things, artificial intelligence and intelligent manufacturing.
Title: A Survey on Informatics and Communication Technologies in Low Carbon Energy System
A. Prof. Wei Wei
Xi’an University of Technology, China
Profile Summary: Dr. Wei Wei is an associate professor of School of Computer Science and Engineering，Xi'an University of Technology, Xi'an 710048, China. He is a senior member of IEEE, CCF. He received his Ph.D. and M.S. degrees from Xi'an Jiaotong University in 2011 and 2005, respectively. He ran many funded research projects as principal investigator and technical members. His research interest is in the area of wireless networks, wireless sensor networks Application, Image Processing, Mobile Computing, Distributed Computing, and Pervasive Computing, Internet of Things, Sensor Data Clouds, etc. He has published around one hundred research papers in international conferences and journals. He is an editorial board member of FGCS, IEEE Access, AHSWN, IEICE, KSII, etc. He is a TPC member of many conferences and regular reviewer of IEEE TPDS, TVT, TIP, TMC, TWC, JNCA and many other Elsevier journals.
Title: Based on IoTs Parking Navigation with Continuous Information Potential Field research
Abstract: As Internet of Things(Iots) are increasingly being deployed in some important applications, it becomes imperative that we consider application requirements in-network processes. We intend to use a WSN to aid information querying and navigation within a dynamic and real-time environment. We propose a novel method that relies on the heat diffusion equation to finish the navigation process conveniently and easily. From the perspective of theoretical analysis, our proposed work holds the lower constraint condition. We use multiple scales to reach the goal of accurate navigation. We present a multi-scale gradient descent method to satisfy users’requirements in WSNs. Formula derivations and simulations show that the method is accurately and efficiently able to solve typical sensor network configuration information navigation problems. Simultaneously, the structure of heat diffusion equation allows more flexibility and adaptability in searching algorithm designs.
Prof. (Dr.) Subhabrata Banerjee
Institute of Engineering & Management, Department of Electronics and Communication Engineering, India
Experience: Communication and Coding Theory, Machine Learning, Robotics, IOT, Control System, and Evolutionary Algorithms, Soft Computation.
Title: Development of Soft Computing based Bio-Inspired Algorithms and its impact on Practical System
Abstract: A comprehensive research has been carried out in the arena of computation intelligent techniques since early nineteenth century. Researchers have used these algorithms successfully to enhance the performance of the contemporary communication systems. Various existing linear programming approaches neither can minimize the inherent intricacies in real world engineering difficulties nor can provide stable optimum values for multi-optima based rough surfaces. Now, design of robust nature-inspired meta-heuristic algorithms like Modified Symbiotic Organism Search (MSOS) Algorithm & Modified Ant Lion Optimizer (MALO) Algorithm and their impact in modern communication system has been emerged as important area of research.
On the other hand error control coding scheme helps to elevate the immunity of noisy communication channel. Proper unification between mathematical modelling and efficient algorithms and more importantly the implementation of this idea in practical systems meets the demand of efficient and reliable data transmission. Turbo Code (TC) is considered as one of the significant channel coding scheme which approaches the Shannon limit. Existing turbo codes offer a considerable degree of improvement in Bit Error Rate (BER) performance either in waterfall or error-floor or in both regions. However, most of the forward correcting codes suffer from the problem of flattening effect. Hence designing of more efficient TCs has been emerged as an important area of research over last few decades. Its ensemble analysis has drawn a significant attention due to its astonishing BER performances over the entire SNR region which is the most essential factor for modern communication systems.
Prof. (Dr.) Sailesh Iyer
Rai University, Ahmedabad, India
Profile Summary: Dr. Sailesh Iyer has a Ph.D. (Computer Science) and currently serving as a Professor with Rai University, Ahmedabad. He has more than 22 years of experience in Academics, Industry and Corporate Training out of which 18 years are in core Academics. In addition to Patents, he is involved as an Editor for 6 book projects with River Publishers (Denmark), IGI Global(USA), Taylor and Francis(UK) and Bentham Science (UAE). A hardcore Academician and Administrator, he has excelled in Corporate Training, Delivered Expert Talk in various AICTE sponsored STTP’s, ATAL FDP’s, Reputed Universities, Government organized Workshops, Orientation and Refresher Courses organized by HRDC, Gujarat University. Research Contribution include reputed Publications, Track Chair and TPC Member for various reputed International and National Conferences, Reviewer of International Journals like Multimedia Tools and Applications (Springer), Journal of Computer Science (Scopus Indexed), International Journal of Big Data Analytics in Healthcare (IGI Global), Journal of Renewable Energy and Environment and Editor in various Journals. Expert Talk on Research based topics in various Universities and Conferences in addition to guiding Research Scholars as Supervisor. He has also been invited as a Judge for various events, Examiner for Reputed Universities, is a Computer Society of India Lifetime Member and was serving as Managing Committee (MC) Member, CSI Ahmedabad Chapter from 2018-2020.
Research Interest: include Computer Vision and Image Processing, Cyber Security, Data Mining and Analytics, Artificial Intelligence, Machine Learning, Blockchain.
Title: RESEARCH TRENDS FOR SUSTAINABLE SMART CITIES AND SMART VILLAGES
Abstract: Smart Cities and Smart Villages are the need of the hour. There are tremendous challenges faced in creation and implementation of Sustainable Smart Cities and Smart Villages. Maintaining an equilibrium between use of technology and best practices for a healthy lifestyle forms the basis for sustainability solutions.
Prof. Ning Sun
Nankai University, China
Profile Summary: Dr. Sun was the recipient of the prestigious Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Research in Japan (Standard), the Wu Wenjun Artificial Intelligence Excellent Youth Award in 2019, the China 10 Scientific and Technological Developments in Intelligent Manufacturing (2nd achiever) in 2019, the Outstanding Paper Award of the 2021 International Conference on Applied Nonlinear Dynamics, Vibration, and Control (ICANDVC-2021) as the corresponding author, etc. He serves as an Associate Editor (Editorial Board Member) for several journals, including Frontiers in Neurorobotics, International Journal of Control, Automation, and Systems, IET Cyber-Systems & Robotics, Transactions of the Institute of Measurement and Control, International Journal of Precision Engineering and Manufacturing, etc. In addition, he has been an Associate Editor of the IEEE Control Systems Society (CSS) Conference Editorial Board (including ACC, IEEE CDC) since July 2019, and he is/was an Associate Editor for IEEE ICRA and IEEE/RSJ IROS.
Research Interests: Intelligent control for mechatronic/robotic systems with an emphasis on (industrial) applications.
Title: Underactuated Crane Systems: Motion Planning, Intelligent Control, and Industrial Applications
Abstract: As heavy industrial engineering machines, cranes have been playing very important roles in various fields, such as logistics, construction, metallurgy, and manufacturing, among others. The major task for cranes is to transport cargos from their initial positions to desired locations rapidly and accurately, with negligible swing. At present, most cranes used in practice are manipulated by human operators, which exhibits such drawbacks as low efficiency, poor anti-swing performance, incorrect operations, and high risks. Therefore, the problem of anti-swing positioning control for cranes important both theoretically and practically.
Cranes are typically underactuated systems, i.e., they have fewer control inputs than their degrees of freedom (DoFs), making their control problem challenging. In this presentation, I will first share some of our recent results on dynamics analysis, motion planning, and intelligent control of different crane systems, including overhead cranes, rotary cranes, tower cranes, ship-mounted cranes, etc., with hardware experiments and applications. Then, some of our extended and related researches on robotic systems with similar dynamic characteristics will also be discussed briefly, including self-balance robots, pneumatic artificial muscle (PAM)-actuated robots, metal ingot polishing-oriented industrial robots, and so on.