This volume comprises the select proceedings of the 2nd International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2022). The content focuses on big data and cloud computing and the application of artificial intelligence, robotics and engineering, the Internet of things, and sensor technology. Some of the topics covered include robot control, perception systems, dexterous manipulation, robot sensing, and data fusion, technology architecture of IoT, information analysis and processing of IoT, dynamic resource supply and consumption, IoT chips and sensors, industrial IoT, and Big Data, the architecture of Big Data, security and privacy of Big Data, management and operation of cloud computing, etc. This volume will be of interest to those working in academia and industry in the fields of computation, communication, and engineering.
Prof. Dr. Sanjay Yadav, born in 1962, obtained his master's degree in science (M.Sc.) in 1985 and his Ph.D. degree in Physics in 1990. Presently, he is working as the Editor-in-Chief (EIC) of the MAPAN: The Journal of Metrology Society of India. He is also Vice President of the Metrology Society of India (MS), New Delhi as well as Vice President of the Ultrasonic Society of India (USI), New Delhi. He is the Former Chief Scientist and Head of the Physico Mechanical Metrology Division of NPL and also a Former Professor at the Faculty of Physical Sciences, Academy of Scientific and Innovative Research (AcSIR), HRDG, Ghaziabad. He had taught the ‘Advanced Measurement Techniques & Metrology’ course, taken practical classes, and supervised graduate, master, and Ph.D. students since 2011. He is the recipient of research scholarships from the Ministry of Home Affairs, India (1986); CSIR, India (1988); Col. G.N. Bajpayee Award of Institution of Engineers, India (1989); Commendation Certificates from Haryana Government (1991 & 1992); JICA Fellowship of JAPAN (1998), Commendation Certificates from SASO, Saudi Arabia (2003); 3 Appreciation Certificates from Director, NPL (2005); Managing Editor, MAPAN (2006-2014); nominated as Member of APMP Technical Committee of Mass Related Quantities (TCM), Australia (2013-2019); Nominated as Country Representative in APMP, China (2019); Vice President, Metrology Society of India (2020); Member, National Advisory Committee, NCERT, Delhi (2019); Members, Testing and Calibration Advisory Committee, BIS (2019, 2020 and 2021), and very recently received a prestigious International award i.e. APMP Award for Developing Economies, China (2020). He has significantly contributed to pressure metrology, biomedical instrumentation, ultrasonic transducers and instrumentation systems. His current research interests include research and developmental activities in physicomechanical measurements; establishment, realization, maintenance and up-gradation of national pressure and vacuum standards; dissemination of national practical pressure scale to users through apex level calibration, training and consultancy services; inter-laboratory comparisons, proficiency testing program and key comparisons, implementation of Quality System in the laboratory as per ISO/IEC 17025 standard and Finite Element Analysis (FEA) and Monte Carlo Simulations for pressure balances. He has published more than 450 research papers in national and international journals of repute and conferences, 20 books, 14 patents and copyrights, supervised 8 PhDs (another 5 in waiting), and drafted several projects, scientific and technical reports, documents and policy papers.
Harish Kumar is currently working as Associate Professor at the National Institute of Technology (NIT) Delhi. With more than 17 years of research and academic experience, he is an active researcher in the area of mechanical measurement and metrology. He served as a Scientist at the National Physical Laboratory, India, for more than a decade, and as a guest researcher at the National Institute of Standards and Technology, USA, in 2016. He has authored more than 90 publications in peer-reviewed journals and conference proceedings. He is an active reviewer for many prominent journals on measurement, metrology, and related areas and is an Associate Editor of the MAPAN/Journal of Metrology Society of India, published by Springer.
Pavan Kumar Kankar is the Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Indore. His research interests include fault diagnosis and prognosis using machine learning techniques, reliability, bio-medical signal processing, and analysis of dynamic systems. He has over 20 years of teaching and research experience. Dr. Kankar obtained his Ph.D. from IIT Roorkee. He has published over 150 papers in refereed journals and conferences, with more than 3740 citations. He is an Editorial Board member of The International Journal of Life Cycle Reliability and Safety Engineering. He had served as a guest editor in the special issue of various journals. He is a member of professional bodies like the American Society of Mechanical Engineers, the Society for Reliability and Safety, the Tribology Society of India, and the International Institute of Acoustics and Vibration.
Wanyang Dai is the Professor at the Department of Mathematics of Nanjing University (doctoral supervisor/important subject post), Chief Scientist of the Dip's Institute of Digital Economy, and Chairman of Jiangsu Probability and Statistics Society. He has made several important series in the fields of quantum cloud computing, stochastic network reflection-diffusion approximation, stochastic (asymptotic) optimal control and (stochastic differential) game theory, and (forward-backward and reflection) stochastic (normal/partial) differential equations. He gave the keynote speech of the special guest conference at the international academic conference, was invited to make a special report at the 7th China Probability and Statistics Annual Conference in 2002, and was invited to make a special report at the 10th China Operations Research Annual Conference in 2016 which invented the network and computer cloud platform operating system and database that support various decision-making and big data analysis, and realized the separation of the network platform, intelligent engine, and end-user to achieve plug-and-play (Plug-Play) in an all-round way.
Fenghua Huang (Prof./Ph.D/postdoctor) is the vice dean of the College of Artificial Intelligence, Yango University (China), director of the UERCSDMA (University Engineering Research Center for Spatial Data Mining and Application) in Fujian Province (China), director of the Institute of spatial data mining in Yango University, a master supervisor in the fields of computer technology, surveying and mapping engineering in Fuzhou University (China). He was a visiting scholar at the University of North Carolina (UNC) in the USA in 2017 and 2018 and was awarded as the excellent teacher of Fujian Province in China (2015-2017) in 2017. He is a member of IEEE, CCF, and CIE. In 2015, Dr. Huang was selected for the cultivation program for outstanding young scientific research talents at Fujian University. In 2016, he has selected into the new century excellent talents support program of Fujian universities and the overseas high-end visiting scholar program for outstanding discipline leaders of Fujian undergraduate universities. His research interests include machine learning, spatial data mining, big data, and remote sensing image processing. In the last decade, he has presided over more than 10 research projects funded by governments and enterprises. He has published more than 30 papers in related journals and conferences, including 15 papers indexed by SCI/EI and 4 papers indexed by CSCD. In addition, he has obtained the authorization of 8 national utility model patents and published 3 monographs and textbooks.
