Speaker I: Prof. Witold Pedrycz, University of Alberta, Canada, IEEE Life Fellow
Witold Pedrycz (Life Fellow, IEEE) is currently a Professor and the Canada Research Chair (CRC) in computational intelligence with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. He is a Foreign Member of the Polish Academy of Sciences and a fellow of the Royal Society of Canada. He was a recipient of several awards including, the Norbert Wiener Award from the IEEE Systems, Man, and Cybernetics Society, the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Centre for Soft Computing, the Killam Prize, the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and the 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. He is the Editor-in-Chief of Information Sciences and WIREs Data Mining and Knowledge Discovery (Wiley) and the Co-Editor-in-Chief of International Journal of Granular Computing (Springer) and Journal of Data Information and Management (Springer).
Title: A Unified Data and Knowledge Environment of Machine Learning
Speaker II: Prof. Pascal LORENZ, University of Haute Alsace, France, IEEE Senior Member, IARIA Fellow
Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences.
He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier).
He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
See also: http://grtc.uha.fr/GRTC.html
Title: Advanced Architectures of Next Generation Wireless Networks
Speaker III: Prof. Michael Khoo Boon Chong, Universiti Sains Malaysia, Malaysia
Michael B.C. Khoo is a Professor at the School of Mathematical Sciences, Universiti Sains Malaysia (USM). He received his PhD in Applied Statistics in 2001 from USM. His research interest is in Statistical Process Control and Statistical Quality Control. He has authored and co-authored about 300 papers in reputable peer-reviewed international journals, most of which are indexed in the SCI/SCIE database, including Q1 and Q2 journals indexed in the Web of Science (WoS) database. He was listed as the Top 2% Scientists in the World in their Respective Fields (Citation Impact in Single Year) by Stanford University (USA) for the year 2019, 2020 and 2022. He was ranked 3rd in Malaysia and 2599th in the world for Best Scientists in Mathematics for the Year 2023 by Research.com. 3 of his articles have been awarded the Top Cited Article 2021-2022 (John Wiley). He sits on the editorial boards of Quality and Reliability Engineering International (John Wiley & Sons), European Journal of Industrial Engineering (Inderscience) and Measurement-Interdisciplinary Research and Perspectives (Taylor & Francis). He has reviewed 229 journal articles, where most of them are indexed in the WoS database. His active research collaborators in his research network consist of researchers from Malaysia, France, India, Hong Kong, Taiwan, Pakistan, Iran and UAE, to name some. Furthermore, he has been a Principal Investigator of 8 national and university grants, and a co-researcher of 19 national and university grants. He has successfully graduated 25 PhD and 13 MSc students (both by research mode). He was a program Committee member of various conferences. He is a Senate member of USM since 2020.
Title: Process Monitoring using Machine Learning and Control Charting Techniques
Speaker IV: Prof. Tofigh Allahviranloo, Istinye University, Turkey
Tofigh Allahviranloo is a full professor of applied mathematics and director of research center of 'Performance and Productivity Analysis' at Istinye University, Turkey. His previous tenures include positions at the IAU Science and Research Branch in Iran, the University of Prince Edward Island in Canada, Izmir University, and Bahcesehir University in Turkey. As a trained mathematician and computer scientist, Prof. Allahviranloo is fervently engaged in multi- and interdisciplinary research. His work is not limited to foundational research in fuzzy applied mathematics, particularly fuzzy differential equations, but also extends to pioneering applications in applied biological sciences. Currently, Tofigh is focusing on developing a new mathematical space characterized by complex uncertainties and is endeavoring to define a novel concept of uncertainty.
Title: Linguistic Mathematical Optimization