Prof. Yabo Fu
Taizhou University, China
Biography: Fu Yabo, a professor of Taizhou University and deputy director of the Department of Materials Engineering. He is also a member of the Heat Treatment Branch of the Zhejiang Mechanical Engineering Society and a member of the Chinese Material Research Society. In 2011, he graduated from Dalian University of Technology and obtained a doctorate in material processing engineering. Mainly engaged in high strength and wear resistance of aluminum bronze, electronic information industry with high strength and high elastic titanium bronze, lead-free copper, titanium alloy, aluminum and aluminum alloy research, is committed to the design of new metal materials and the realization of new functions. He has published more than 20 academic papers. Recently presided over 3 provincial research projects, has won the Zhejiang Provincial Science and Technology Award ( technical invention ) third prize, China Nonferrous Metal Industry Science and Technology Progress Award second prize and 44 Geneva International Invention Exhibition Gold Award and other awards.
Title：Design and preparation of titanium bronze for electronic contacts
Abstract: As a high-strength and high elastic copper alloy, titanium bronze is widely used in the field of electronic contacts. In this study, the effects of element content and heat treatment process on the mechanical and electrical properties of Titanium Bronze were studied. The hardness, tensile strength and conductivity were characterized by hardness tester, universal testing machine and eddy current testing instrument. The research shows that the comprehensive mechanical and electrical properties obtained after solid solution + cold rolling + aging treatment are greatly improved. Moreover, according to the research on the processing technology of alloy samples, it is found that the cold rolling treatment has a great improvement on the hardness and tensile strength of Titanium Bronze.
Dr. Bhanu Prakash Kolla
Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, India
Biography: Dr. Kolla Bhanu Prakash is working as Professor in Computer Science and Engineering Department at K. L. University, Andhra Pradesh, India. He published 80 research papers in International, National journals and Conferences. He published Scopus and SCI publications of 80 with H-Index of 15 and total citations are 450. He is reviewer for several international journals including IEEE, Elsevier, Springer, Wiley and Taylor and Francis and served as reviewer, keynote speaker and TPC member for several International conferences. His research interests include deep learning, data science and quantum computing. He received Young Scientist Award, Best Researcher Award, listed in Top 2% cited researchers in the world for the year 2021. He authored and edited 12 books with International reputed publishers like Elsevier, Springer, River, CRC, Degryuter and Wiley. He also published 8 patents and 1 Copyright. He is guiding 4 Ph.D scholars and 2 Ph.D scholars awarded under his guidance. Dr.K.Bhanu Prakash is IEEE Senior Member, Fellow-ISRD, Treasurer - ACM Amaravathi Chapter, India, LMISTE, MIAENG, SMIRED. He is Series Editor – “Next Generation Computing & Communication Engineering” – Wiley publishers. He is series editor - “Industry 5.0: Artificial Intelligence, Cyber-Physical Systems, Mechatronics and Smart Grids” – CRC publishers.
Title：Recent Research Advancements in Deep Learning
Abstract: The next generation of artificial intelligence methods, specifically in machine learning, is called deep learning. In bioinformatics and computational biology, obtaining intrinsically relevant knowledge from large-scale omics data continues to be a difficult task. Deep learning, a new subfield of machine learning, has demonstrated exceptional performance in a wide range of academic and commercial applications. One of the current demanding and intriguing tasks for scholars is learning with images and its categorization, segmentation, localization, annotation, and abnormality detection. Deep learning algorithms recently perform exceptionally well in a wide range of areas, including Object Detection, Speech Recognition, Abnormality Detection, Business Analysis, and nearly all others. However, medical image analysis is where one significant use of deep learning techniques can be found. In the medical field, deep learning systems outperform human performance and produce superior results. Convolutional Neural Network, Recurrent Neural Network, Long Short-Term Memory, and Deep Belief Network models are the top priorities for researchers among the various deep learning methodologies. In the present discussion, latest advancements in Deep learning at both classical and quantum scale will be focussed.
Dr. Harikrishnan Santhanam
Kings Engineering College, India
Biography: Dr. S. Harikrishnan received his B.E. in Electrical & Electronics Engineering from University of Madras, in 2002; M.E. and Ph.D in Mechanical Engineering from Anna University, in 2007 & 2015, respectively. He is the Professor & Head at the Department of Mechanical Engineering of Adhi College of Engineering & Technology, Chennai, India. He is an active teacher and researcher in phase change materials, nanofluids, supercapacitor and energy conservation techniques. He has published more than 47 papers in reputed journals and conferences in the above fields. He has served as panel session chair, reviewer and editor for international conferences.
Phase change materials
Energy conservation techniques
Dr. Rajeev Tiwari
University of Petroleum and Energy Studies (UPES), India
Biography: Dr. Rajeev Tiwari is working as an Associate Professor in SCS in University of Petroleum and Energy Studies. He has done Ph.D. in CSE from Thapar University, Patiala (Punjab). He has more than 15 years of research and teaching experience. His major area of research are Cloud Computing, MANET, VANET, FoG Computing, QoS in such network environments, Cache Invalidation Techniques, Internet of Things (IoT), Big Data Analytics and Machine Learning. He is also an expert in simulation and design of scenarios on NS2, SUMO and MOVE. His research interest and contribution are also in field of Content Centric Networks (CCN), which is an alternate communication methodology for communication without using IP addresses. He is an active member of ACM,IEI, IACSIT and IAENG. He has 65+ international publications in SCI, and Scopus indexed journals and conferences. His publications are majorly indexed in SCI, Scopus and DBLP. He has published Patents in CCN field.
Title：Cloud Computing Research opportunities in Industry 4.0 Framework.
Abstract: Cloud computing is emerging in computing technology due to its flexibility and least dependencies on infrastructure. So it is replacing the traditional computing from the working domains from the productions and other organizations. Thus cloud computing offers a number of advantages due to its enriched capabilities like ubiquitous, Infrastructure scalability as per requirement, least down time for services and networks offered. Due to these capabilities, Cloud computing offers many research opportunities in areas of Internet of Things (IoT) and its aligned industries. Now Industries with sensor devices, with automation has a new standard as Industry 4.0, where devices, assemblies will generate data every now or then, which need to store and analyzed. These workings can be done only on cloud platforms due to their humongous data size. So there exists a larger scope in areas of IoT, Big Data Analytics, Machine Learning, Healthcare, Smart cities, and Smart agriculture etc. using cloud computing.