Committee Members

Nor Samsiah Sani received a bachelor’s degree in information technology from the Universiti Tenaga Nasional. She then pursued her education by obtaining a PhD at the University of Sheffield. She is the Head of the Artificial Intelligence Programme in the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. She has been invited as a speaker for several seminars on Data Analytics. She leads collaborative projects with Malaysian government sectors and industries, focusing on predictive analytics, machine learning, data analytics, evolutionary algorithms, and data mining and optimisation.

Yu-Chen Hu received his PhD. degree in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan. Currently, He is a Professor in the Dept. of Computer Science & Information Management at Tunghai University and he is a senior member of IEEE. He is also a member of Computer Vision, Graphics, and Image Processing (CVGIP), Chinese Cryptology and Information Security Association (CCISA), Computer Science and Information Management (CSIM) and Phi Tau Phi Society of the Republic of China. He joins the editorial boards of Advances in Multimedia (Hindawi), Electronics (MDPI), IET Image Processing, Intelligent Automation & Soft Computing (Tech Science Press), Mathematical Problems in Engineering (Hindawi), etc. His research interests include data compression, image processing, information hiding, information security, computer network, deep learning, and bioinformatics.

Dr. Vijayan K. Asari is a Professor in Electrical and Computer Engineering and Ohio Research Scholars Endowed Chair in Wide Area Surveillance at the University of Dayton, Dayton, Ohio, USA. He is the director of the Center of Excellence for Computational Intelligence and Machine Vision (Vision Lab) at UD. Dr. Asari received his M Tech and PhD degrees in Electrical Engineering from the Indian Institute of Technology, Madras in 1984 and 1994 respectively. Prior to joining the University of Dayton in February 2010, Dr. Asari worked as Professor in Electrical and Computer Engineering at Old Dominion University, Norfolk, Virginia for 10 years. Dr. Asari worked at National University of Singapore during 1996-98 and led a research team for the development of a vision-guided micro-robotic endoscopy system. He also worked at Nanyang Technological University, Singapore during 1998-2000 and led the computer vision and image processing related research activities in the Center for High Performance Embedded Systems at NTU.Dr. Asari had been working as Assistant Professor in electronics and communications at TKM College of Engineering, Kollam until he left for Singapore in 1996. Dr. Asari holds five United States patents and has published more than 750 research articles including an edited book in wide area surveillance and 135 peer-reviewed journal papers in the areas of image processing, pattern recognition, machine learning, neural networks and high-performance embedded systems. Dr. Asari has supervised 32 PhD dissertations and 48 MS theses during his tenure. Currently several graduate students are working with him in different sponsored research projects. He has been participating in various federal and private funded research projects and he has so far managed around $27M research funding. Dr. Asari received several teaching, research, advising and technical leadership awards. He is a Senior Member of IEEE and an elected Fellow of SPIE, and member of several international societies including the IEEE Computational Intelligence Society and Society for Imaging Science and Technology. Dr. Asari is a co-organizer of several SPIE and IEEE conferences and workshops.

Dr. Yoo is currently Full Professor with tenure in the School of Electrical Engineering and Adjunct Professor in the Department of Computer Science. Since 1999, he has been on the faculty at the Korea Advance Institute of Science and Technology (KAIST). He also served as Dean of the Office of Special Projects and Dean of the Office of International Relations and a consultant for the Korean Foundation for Advance Studies (one of the oldest and largest scholarship foundations in Korea). He is also Director of Korea Institute of Electrical Engineers (KIEE) and Director of the Acoustical Society of Korea (ASK). From March 2005 to March 2006, he was a visiting scholar to the Research Laboratory of Electronics (RLE) at MIT. He is Member of Tau Beta Pi and Sigma Xi. He was on the technical committee member of IEEE machine learning for signal processing society from 2009 to 2011. He had also served as Associated Editor of IEEE Signal Processing Letters (2011-2012), IEEE Transactions on Information Forensics and Security (2012-2013), IEEE Transactions on Audio, Speech and Language Processing (2011-2014). From Nov. 2015, he has been on the Editorial Board of the Journal of Signal Processing Systems. To this date, he has supervised 55 MS and 15 Ph.D students and is currently supervising 8 MS and 8 Ph.D students. He has taught Digital Signal Processing, Digital Speech Processing, Machine learning for a number of years. His current research interests include the application of digital signal processing and machine learning theories in multimedia processing and digital communications. From January 1997 to March 1999 he was Senior Researcher at Korea Telecom (KT).

Dr.Yudi Guzman Monteza is an Assistant Professor at the National University of San Marcos (UNMSM) and Reserve Officer in the Air Force of Peru (FAP). She performed an internship at the University of Granada (UGR) in the doctoral program at TIC. Currently, her research area is argument mining which takes part in Natural Language Processing because of her ability to design annotation methods and how to get trust data to be used by linguistic computational models or pre-trained language models under a supervised learning approach. This topic is multidisciplinary because linguistics computational is transversal and useful for all disciplines to understand how a computational model can better understand a human´s natural language. Experience in Artificial Neural Networks, Software Engineering, and Natural Language Processing. Prof. Yudi Guzmán supervises theses including master thesis and thesis, to obtain the engineer grade.

Polymath, Ph.D. in Agricultural Engineering by the Federal University of Santa Maria (UFSM) and doctoral student in Finance (UFSM); Master’s in Administration (UFSM); Master in Production Engineering (UFSM); Specialist in Statistics and Quantitative Modeling (UFSM). Graduate in Mechanical Engineering (UFSM); Graduate in Business Administration (UFSM); Graduate in Accounting Sciences (UFSM); Graduate in Economic Sciences (UFSM); Graduate in Mechanical Engineering (UFSM); and Graduate in Civil Engineering by the Federal University of Pampa (Unipampa). Mechanical Technician (UFSM) and Army Reserve Officer in the Artillery Weapon (Brazilian arm). Associate Professor at the Federal University of Pampa (UNIPAMPA). Extension officer at the Department of Development and International Affairs of the Government of the State of Rio Grande do Sul (SEDAI/RS) at UNICRUZ/RS, and coordinator of Research and Extension Centers Brazil’s technical. Professor for 24 years in institutions of technical, higher, and postgraduate education in Brazil, such as UNIPAMPA/RS, UFSM/RS, FAPAS/RS, UNIFRA/RS, FAMES/RS, FISMA/RS, and FACISA/CELER/SC. Experience in the areas of Artificial Neural Network, Production Engineering, Product Design, and Financial Administration; with an emphasis on Strategic Planning and Budget. He currently works in the following subjects: Microeconomics (Production Costs); Financial Engineering (Economics); Product Design Methodology; Production systems; Quality Systems; and Administration and Entrepreneurship.

Aryya Gangopadhyay completed his PhD from Rutgers University. He is a Professor of Information Systems at UMBC. He is also the founding director of the Center for Real-time Distributed Sensing and Autonomy (cards.umbc.edu). He has published nearly 200 peer-reviewed papers in reputed journals and has been serving as an editorial board member of several journals including Electronics. He has graduated 18 PhD students. His research has been funded by the National Science Foundation, IBM, Army Research Laboratory, Department of Education, and other funding agencies at well over $25 million.

Prof. Patrick Siarry was born on May 28, 1952, in Pertuis. His research area is relatively (since 1982) new “metaheuristic” optimization such as simulated annealing, which are indicated for the so-called problems of “hard optimization” because of their ability to avoid in principle, trapping in sub-optimal solutions. This topic is multidisciplinary in nature, both by the source of the methods studied (physics, biology, ethology). Prof. Siarry has 12 frames at 100% of doctoral theses, including 1 in progress; 9 frames at 50% of doctoral theses, including 6 ongoing; 6 joint supervision of doctoral theses, including 5 courses; 4 frames partial (< 30%) of doctoral theses; 2 research post-doctoral; 18 internships DEA or Master 2 research; 2 stages of “ownership” of the Ecole Polytechnique de Montreal; 2 memories Engineer CNAM; 1 team of industrial research project (two engineers and one technician); 10 training engineering degree or master’s and 2 stages of BTS or DUT.