Keynote Speaker I
Prof. Seiichi Ozawa
Center for Mathematical and Data Sciences,
Kobe University, Japan
Seiichi Ozawa received the B.E. and M.E. degrees in instrumentation engineering from Kobe University in 1987 and 1989, respectively. In 1998, he received his Dr. Eng. in computer science from Kobe University. He is currently the deputy director of Center for Mathematical and Data Sciences and a full professor with the Department of Electrical and Electronic Engineering, Graduate School of Engineering, Kobe University, Japan. He was a visiting researcher at Arizona State University in 2005. His current research interests are neural networks, machine learning, online learning, pattern recognition, big data analytics especially in cybersecurity, SNS and smart agriculture. He published 141 journal and refereed conference papers, and 9 book chapters/monographs. He is currently an associate editor of IEEE Trans. on Cybernetics, Evolving Systems Journal, Pattern Analysis and Applications Journal, and he was an associated IEEE Trans. on Neural Networks and Learning Systems for 6 years. Currently, he is a Pro Tempore Vice-President for Public Relations of International Neural Network Society (INNS), a vice-president for finance of Asia Pacific Neural Network Society (APNNS), and a special board of governor of Japan Neural Network Society (JNNS). He is a member of Neural Networks TC, Data Mining and Big Data Analytics TC, and Smart World TC of IEEE CI Society. He is serving as a general chair of INNS Conference on Big Data and Deep Learning 2018, Program Committee Chair of International Conference on Neural Information Processing 2018, Workshop Chair of 2018 IEEE Smart World Congress, and Program Committee Members of IJCNN 2018, INNS 2018, EAIS 2018, etc.
Keynote Speaker II
Prof. Kenji Suzuki
Tokyo Institute of Technology, Japan
Kenji Suzuki, Ph.D. (Nagoya University) worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). He is currently a Professor (Tenured) & Director of Biomedical Artificial Intelligence Research Unit in Institute of Innovative Research, Tokyo Institute of Technology, Japan. He published more than 350 papers (including 116 peer-reviewed journal papers). He has been actively researching on deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited more than 13,000 times, and his h-index is 56. He is inventor on 38 patents (including ones of earliest deep-learning patents), which were licensed to several companies and commercialized. He published 15 books and edited 16 journal special issues. He has been awarded numerous grants including NIH, NEDO, and JST grants, totaling $17M. He serves as Editors of 34 leading international journals including Pattern Recognition. He chaired 114 international conferences. He received 23 awards, including 3 Best Paper Awards in leading journals. His research interests include Artificial intelligence, Deep learning, Machine learning, AI-aided system, Computer-aid diagnosis, Medical image analysis, Medical image processing, Data science.
Invited Speaker I
Prof. Sule Yildirim Yayilgan, Norwegian University of Science and Technology, Norway
Professor Sule Yildirim Yayilgan works at the Department of Information Security and Communication Technology (IIK), NTNU since 2009. She received a MSc. degree in Computer Engineering in 1995, and PhD in Artificial Intelligence and Computer Science in 2002. She has worked more than 25 years in academia and served as Head of the Department between 2005-2009. She has participated in projects funded by EU Horizon 2020, Eurostars, Erasmus+ programs, the Research Council of Norway, the Regional Research Council of Norway and the Ministry of Foreign Affairs, Norway. She belongs to the Center for Cyber Information Security (ccis.no) and she is leading the research group MR PET: Multidisciplinary Research group on Privacy and data protEcTion. She has been supervising students at different academic levels and has been publishing more than 100 journal and conference papers.
Invited Speaker II
Prof. Umesh C. Pati, National Institute of Technology (NIT), Rourkela, India
Dr. Umesh C. Pati is a Full Professor at the Department of Electronics and
Communication Engineering, National Institute of Technology (NIT), Rourkela. He
has obtained his B.Tech. Degree in Electrical Engineering from National
Institute of Technology (NIT), Rourkela, India. He received both M.Tech. and
Ph.D. degrees in Electrical Engineering with specialization in Instrumentation
and Image Processing respectively from the Indian Institute of Technology (IIT),
Kharagpur, India. His current areas of interest are Image/Video Processing,
Computer Vision, Artificial Intelligence, Medical Imaging, Internet of Things
(IoT), Industrial Automation, and Instrumentation Systems. He has
authored/edited two books and published more than 125 articles in the
peer-reviewed international journals as well as conference proceedings. He has
served as a reviewer in a wide range of reputed international journals and
conferences. He has delivered a number of Keynote/Invited Talks at various
International/National platforms. Dr. Pati has filed 2 Indian patents. Besides
other sponsored projects, he is currently associated with a high-value IMPRINT
project, “Intelligent Surveillance Data Retriever (ISDR) for Smart City
Applications” which is an initiative of the Ministry of Education and Ministry
of Housing and Urban Affairs, Govt. of India.
He has visited countries like the USA, Italy, Austria, Singapore, Mauritius, Nepal, etc. in connection with research collaboration and paper presentation. He was also an academic visitor to the Department of Electrical and Computer Engineering, San Diego State University, USA, and the Institute for Automation, University of Leoben, Austria. He is a Senior member of IEEE, Fellow of The Institution of Engineers (India), Fellow of The Institution of Electronics and Telecommunication Engineers (IETE), and life member of various professional bodies like MIR Labs (USA), The Indian Society for Technical Education, Instrument Society of India, Computer Society of India, and Odisha Bigyan Academy. His biography has been included in the 32nd edition of MARQUIS Who’s Who in the World 2015.
Invited Speaker III
Prof. Narendra D. Londhe, National Institute of Technology Raipur, India
Narendra D. Londhe (Senior Member, IEEE)received the B.E. degree in electrical (electronics and power) engineering fromAmravati University, Amravati, India, in 2000, and the M.Tech. degree inmeasurement and instrumentation and the Ph.D. degree in electrical engineeringfrom the Indian Institute of Technology Roorkee, Roorkee, India, in 2004 and2011, respectively.,He is currently working as an Associate Professor with the Department of Electrical Engineering, National Institute of Technology Raipur,Raipur, India. He has 14 years of rich experience in academics and research. Hehas published more than 160 articles in recognized journals, conferences, andbooks. His main areas of research include medical signal and image processing,biomedical instrumentation, speech signal processing, biometrics, intelligenthealthcare, brain-computer interface, artificial intelligence, and patternrecognition. Dr. Londhe was awarded by organizations like Taiwan Society ofUltrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is anactive member of different recognized societies from his areas of research.