Data Engineering and Intelligent Computing / Lecture Notes in Networks and Systems Bd.446 (PDF)

2015, 2016 and 2017, respectively. In addition, he had received Conference Best Presentation Award from Fukuoka University Japan in 2015, the Best Sustainable Prototype Award in Digital Wonderland Singapore Expo 2019, awarded Honorable Mention Award in 2020 NSIEC by NCKU Taiwan, IEM Young Engineer Award 2021 by the Institute of Engineers Malaysia and IEEE-EMBS Early Career Achievement Award 2021 by IEEE EMBS Malaysia Chapter. He upholds his academic pursuit by authoring more than 100 peer-reviewed ISI/WoS- and Scopus-listed publications, proceedings, book chapters, laboratory worksheet and guidelines (h-index 15). His innovations in his areas of expertise awarded him 16 patents and intellectual property rights and several major government and industries funded projects as principal investigator/co-researchers (completed 22 projects, 10 projects on-going) in collaboration with local and international researchers. He currently heads Advanced Analytic Research Group at Medical Imaging Laboratory, and supervised 43 postgraduate students (seven Ph.D. and 18 master completed, 11 Ph.D. and seven master on-going).
Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, in 2010. He is currently a full professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 400 research articles in top-tier journals and conferences, 12 edited books, as well as 33 patents (held and ¿led, three US patents). His research interests include data analytics, soft computing, arti¿cial intelligence/machine learning, optimization, IoT and privacy preserving and security technologies. He is Editor-in-Chief of the International Journal of Data Science and Pattern Recognition. He has recognized as the most cited Chinese researcher, respectively, in 2018, 2019 and 2020 by Scopus/Elsevier. He is Fellow of IET (FIET) and Senior Member for both IEEE and ACM.
Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of National Chairman Div-V (Educational and Research) of Computer Society of India and is also Senior Member of IEEE. He has been instrumental in organizing more than 20 international conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE and SIST series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conference proceedings. He is in Editorial Board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engineering published by Springer.
T. M. Rajesh has completed his Ph. D in January 2017 from the Department of Computer Science and Engineering, Jain University, Bengaluru. He carried out his research on Forensic Crime Detection Area in digital image processing and pattern recognition domain. He has total of 8+ years of experience in industry, research and academics domains. He has 2 years of industrial experience at IGATE Global Solutions Ltd., Bengaluru. In IGATE, he worked as Software Engineer for production support for a client (RTBA and Westpac bank) in Australia. He is currently guiding three Ph.D. research scholars in DIP, PR and CV & ML domains. His publications towards his research work includes seven Indian patents and two Australian patents in IoT and computer vision domains, one textbook in Forensic Crime Detection Area (Multi-Lingual Signature Identi¿cation & Veri¿cation in Forgery Domain), three book chapters, 15 international journals, ¿ve book series and international conference proceedings and two national conference papers. His area of interest in research includes digital image processing, pattern recognition, video analytics, computer vision data analytics and IoT.