Prof. Ljiljana Trajkovic

Simon Fraser University, Canada

IEEE Life Fellow

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, in 1974, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, in 1979 and 1981, respectively, and the Ph.D. degree in electrical engineering from University of California at Los Angeles, in 1986. She is currently a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada. From 1995 to 1997, she was a National Science Foundation (NSF) Visiting Professor in the Electrical Engineering and Computer Sciences Department, University of California, Berkeley. She was a Research Scientist at Bell Communications Research, Morristown, NJ, from 1990 to 1997, and a Member of the Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ, from 1988 to 1990. Her research interests include high-performance communication networks, control of communication systems, computer-aided circuit analysis and design, and theory of nonlinear circuits and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director (2019–2020) and IEEE Division X Delegate-Elect/Director-Elect (2018). She served as Senior Past President (2018–2019), Junior Past President (2016–2017), President (2014–2015), President-Elect (2013), Vice President Publications (2012–2013, 2010–2011), Vice President Long-Range Planning and Finance (2008–2009), and a Member at Large of the Board of Governors (2004–2006) of the IEEE Systems, Man, and Cybernetics Society. She served as 2007 President of the IEEE Circuits and Systems Society and a member of its Board of Governors (2004–2005, 2001–2003). She is Chair of the IEEE Circuits and Systems Society joint Chapter of the Vancouver/Victoria Sections. She was Chair of the IEEE Technical Committee on Nonlinear Circuits and Systems (1998). She was General Co-Chair of SMC 2020 and SMC 2020 Workshop on BMI Systems and served as General Co-Chair of SMC 2019 and SMC 2018 Workshops on BMI Systems, SMC 2016, and HPSR 2014, Special Sessions Co-Chair of SMC 2017, Technical Program Chair of SMC 2017 and SMC 2016 Workshops on BMI Systems, Technical Program Co-Chair of ISCAS 2005, and Technical Program Chair and Vice General Co-Chair of ISCAS 2004. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems (2021–2023) and served as an Associate Editor of the IEEE Transactions on Circuits and Systems (Part I) (2004–2005, 1993–1995), the IEEE Transactions on Circuits and Systems (Part II) (2018, 2002–2003, 1999–2001), and the IEEE Circuits and Systems Magazine (2001–2003). She is a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society (2020–2021) and the IEEE Circuits and Systems Society (2020–2021, 2010–2011, 2002–2003). She is a Professional Member of IEEE-HKN and a Life Fellow of the IEEE.


Topic: Detecting Internet Worms, Ransomware, and Blackouts Using Recurrent Neural Networks

Abstract: Analyzing and detecting Border Gateway Protocol (BGP) anomalies are topics of great interest in cybersecurity. Various anomaly detection approaches such as time series and historical-based analysis, statistical validation, reachability checks, and machine learning have been applied to BGP datasets. In this paper, we use BGP update messages collected from Reseaux IP Européens and Route Views to detect BGP anomalies caused by Slammer worm, WannaCrypt ransomware, and Moscow blackout by employing recurrent neural network machine learning algorithms.

Prof. Luiz Moutinho

University of Suffolk, UK

Professor Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is Visiting Professor of Marketing at Suffolk Business School, Faculty of Arts, Business and Applied Social Science, University of Suffolk, Ipswich, England, and Visiting Professor of Marketing at The Marketing School, Portugal. During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. In 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FYR of Macedonia. In 2020 he was elected as the member of The Academia Europaea. He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 29 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia, Fiji and Cyprus. Between 1987 and 1989 he was the Director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was Director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004. Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal. He has another 4 Associate Editorships as well as being in the Editorial Boards of another 47 international academic journals. His areas of research interest encompass bio-marketing, artificial intelligence, neuroscience in marketing, algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling consumer behaviour, futures research, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho’s academic research are related to modelling processes of consumer behaviour. He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic. Professor Moutinho has over 155 articles published in refereed academic journals, 34 books and 15,243 academic citations, the h-index of 56 and the i10-index of 208 (Google Scholar, July 2020).

(from University 4.0, Real-world Degrees, the Unbundling of Education, Micro-credentials and Smart Learning to the Modular Economy, Hybrid Education, Edtech and the Holdeck University)

Abstract: What will universities look like? There are many challenges facing higher education, for example, the ecological university. Some predictions about the future of Higher Education are presented. Let us reflect upon the nature of University 4.0. Facets of the seismic shift in higher education are then pondered. Some expectations about the university of the future are then explained, as well as key trends like the unbundling of education, the emergence of alternative credentials, micro-credentials and the smart learning environment will be discussed. Is the acquisition of knowledge changing? The future of universities and the modular economy, the emergence of hybrid programmes and hybrid courses, edTech and the future of education will be presented. A discussion on eLearning 3.0 will follow, and also part on holography in teaching and about the holdeck university will be tackled. The presentation ends with the reminder that universities must have a sense of serving


Dr. Peter Tong

Concordia International School Shanghai, China


Peter pioneered the Big Data Analytics program for K-12 education where neither curriculum nor standards exist. His passion in data analytics is evident in his teachings and research work. He shares his data analytics passion with his students by supervising practical data analytics projects in his Big Data Analytics course. Both his and his students' work have been presented regularly at several international big data analytics conferences. Peter began his career as an aerospace engineer in the preliminary design of a supersonic Mach 2+ Unmanned Aerial Vehicle (UAV) for the Department of National Defence, Canada. He later found his calling to be a teacher. With a background in Electrical Engr. (B.Sc.), Mechanical Engr. (M.Sc.), Aerospace Engr. (Ph.D.) and Dip. Ed. Peter readily integrates practical real life engineering experience into the classroom. He also developed an Aerospace Engineering course for high school. He is a member of the program committee for the International Big Data and Analytics Educational Conference, Watson Analytics Global Academics Network (WAGAN) and is on the Ad-Hoc IBM Academic Advisory Board. He has taught in Australia, Canada, Indonesia, Malaysia, Singapore and is currently teaching in China.

Topic: A Project Base Learning Approach to Big Data Analytics for K-12 Education

Abstract: Concordia International School Shanghai pioneered the high school Big Data Analytics course in 2014. Since then, the course material and methodology approach to this course has been shared with other K-12 international schools. This course incorporates both the Project Base Learning (PBL) and Guide on the Side delivery approach, which are both important for student-centered learning. The main component of this course is the student chosen big data analytics project where students are required to carry out practical real-life big data analytics projects which utilize the use of IBM Cognos Analytics. This presentation will present the course material used and discuss the framework of the delivery process. The current pandemic has also been a disruptor and has catalyzed the shift for a distance learning course. A discussion on the pilot project for a distance learning version and some of the students’ research projects will also be presented.


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