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Keynote Speakers

 

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 communication networks, computer-aided circuit analysis and design, and 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 and 2006 President-Elect of the IEEE Circuits and Systems Society and a member of its Board of Governors (2004–2005, 2001–2003). She served as Chair of the IEEE Circuits and Systems Society joint Chapter of the Vancouver/Victoria Sections (2001–2021). She was Chair of the IEEE Technical Committee on Nonlinear Circuits and Systems (1998). She was General Co-Chair of SMC 2020 and General Co-Chair of SMC Workshops on BMI Systems (2018–2021), 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: Data Mining and Machine Learning for Analysis of Network Traffic

Abstract:Traffic traces collected from deployed communication networks have been used to characterize and determine traffic loads, analyze patterns of users' behavior, model network traffic, and predict future network traffic. Data have been also used to analyze network topologies and capture historical trends in their development. Of particular interest to cybersecurity is detection of network anomalies and intrusions including worms, denial of service attacks, ransomware, and blackouts. Machine learning techniques have proved to be valuable tools for predicting anomalous Internet traffic behavior and for classifying various traffic routing anomalies. In described case studies, traffic traces collected from various deployed networks and the Internet are used to characterize and model network traffic, analyze Internet topologies, and classify network anomalies.

 

 

Prof. Shakil Akhtar

Clayton State University, USA

Dr. Shakil Akhtar is a Professor of IT and Computer Science at Clayton State University since 2007. He was the IT Department head from July 2007 to December 2008. He was a Professor in the College of Information Technology at UAE University from 2002 to 2007. His main research interests are reliability/performance modeling of computer and communications systems, QoS and security issues of fifth generation (and beyond) mobile systems, wireless LAN standards and CS/IT education. He was involved in creating 3G and 4G mobile systems simulation performance models while working for Lucent Technologies during 2000 to 2002. His other prior work experience includes Computer Science/Engineering Departments at Central Michigan University, University of Toledo, and King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia. He has a wide teaching experience that includes undergraduate and graduate courses in Computer Networks, Reliability, Performance Modeling, Simulation, Programming (Java, Visual Basic and C++), Computer Architecture and Digital System Design. His research has been supported by the universities and government funding agencies. He has received several individual and joint research grants from Clayton State University, UAE University, Central Michigan University. At the national level, he received NSF research grants while working for Central Michigan University. His published research consists of over 75 papers in international journals and proceedings of international conferences, including papers in IEEE Transactions on Reliability, Computer Communications, WSEAS Transactions on Mathematics, ASEE Annual Conference & Exhibitions, Spring and Summer Simulation Multiconferences, SIGCSE Technical Symposiums on Computer Science Education, etc. He is Editor-In-Chief of ANSI Information Technology Journal and member/reviewer of various international journal/conference advisory boards/technical committee, such as IEEE Transactions on Learning Technologies, Journal of Emerging Trends in Computer and Information Sciences, ASEE Conferences, Scienceone International Conferences on Information Technology, etc. He is also an ABET program evaluator for CS programs since 2010, and has been involved in evaluating more than ten different CS programs nationally and internationally.

 

Topic: Internet of Things Business Solutions

Abstract:This keynote address will focus on exploring Internet of Thing (IoT) business solutions and example implementations. IoT is an emerging business application all over the world. The global IoT market already exceeds trillion dollars in 2021. There are over billions of connected devices allowing connection among billions of people. Organizations in a variety of industries are using IoT to operate more efficiently, better understand customers to deliver enhanced customer service, improve decision-making and increase the value of the business. An extra advantage of IoT devices is that they are controlled, monitored, and accessed over web. An IoT ecosystem consists of web-enabled smart devices that use embedded processors, sensors, and communication hardware to collect, send and act on data they acquire from their environments. IoT devices share the sensor data they collect by connecting to an IoT gateway or other edge device where data is either sent to the cloud to be analyzed or may be analyzed locally. IoT applications exists in the areas of smart cars, smart cities, smart health, smart farming, smart appliances, smart homes, smart TV, smart buildings, and wearable technologies, to name a few. One specific application area within IoT for smart homes will be addressed. Details of a student group project to implement an AI-based home surveillance system using Raspberry Pi will be presented. The proposed security system allows multiple cameras and users. Users have access to a control center where they can login and select the appropriate camera. The website interface encrypts the user’s account information and stores them in a database. Further, an improved setup using Pi-based camera will be discussed. The use of IBM’s Internet of Thing software library will be explored. An implementation of several features in a Pi-based camera system, such as picture taking on motion detection, visual recognition/analysis based upon image features, and a web interface for easy access to the system will be presented.

 

 

Prof. Lee Pui Mun
Singapore University of Social Sciences, Singapore

Lee Pui Mun is a Professor in the School of Business, Singapore University of Social Sciences [SUSS]. He teaches management, strategy and operations. He also served as the Vice Dean and then the Dean of the School of Business, SUSS between 2010 to 2018. He has authored more than 60 articles and has done consulting work for many organisations in the areas of performance management, quality management, and operations management. He serves as an Assessor for the Singapore Quality Award and conducted research on business excellence. He was a member for the Singapore Quality and Safety Standards Committee and serves as a member of Editorial Board, Asia Pacific Journal of Innovation and Entrepreneurship. He is a senior member of American Society for Quality and is a member for the Academy of Management. He has been a reviewer for many different journals and also an examiner for many different universities’ postgraduate theses.

 

Topic: Impact of Work Automation on Environmental, Social and corporate Governance [ESG]

Abstract: Work automation has been driving productivity in manufacturing sector for the past few decades and is accelerating globally in the past decade. Robots in heavy industries and automatic guided vehicles in logistics industry come to mind when work automation is concerned, but in recent years, work automation is expanding into the service sector. This phase of work automation has profound implication for workers and globalization. It also bring possible synergy to the ongoing drive for the adoption of Environmental, Social and corporate Governance (ESG) practices in organizations. ESG has become an important business goal for global corporations as the world increasingly emphasizes sustainable development and social responsibility for all. Adoption of ESG practices is driven largely by management but the effective implementation of ESG practices depends mainly on workers’ diligence and awareness. The trends in work automation and ESG and the possible impact of work automation on ESG will be examined in this discussion.

 

Prof. Wojciech Cellary
WSB University in Poznan, Poland

WOJCIECH CELLARY received the M.Sc. (1974), Ph.D. (1977) and Dr. Hab. (1981) degrees all from the Technical University of Poznan (Poland). In 1989 he received the title of Professor. From 1974 to 1992 he was with the Technical University of Poznan, from 1987 to 1991 serving as the scientific director of the Institute of Computing Science. From 1992 to 1996 he served as the vice-president responsible for research of the Franco-Polish School of New Information and Communication Technologies. From 1996-2021 he was with the Poznan University of Economics serving as the head of the Department of Information Technology. Currently he is professor at the WSB University in Poznan, Poland. He has been a visiting professor at the following universities: University of Nancy I, University of Nancy II, University of Paris-Sud, University of Paris-Dauphine, France, University of Genova, University of Ancona, Italy, United Nations University in Macao and United Nations University in Guimaraes (Portugal). He has lead numerous industrial projects on the development of hardware and software of computer systems and their applications in telecommunications, the computer industry, the electric power industry, and education. The projects were supported by Polish, French and American industry, Polish Ministry for Research and Higher Education, as well as UE Framework Programmes. He is co-author of 3 European patents. He was the main organizer of 59 national and international scientific conferences and a member of the program committees of another 354 conferences. He has authored or co-authored numerous publications: 10 books, 17 books as an editor, 29 chapters in books, 158 papers in journals and conference proceedings. In addition to research and teaching, his professional activities include consulting, membership in numerous professional organizations, editorial boards of scientific journals, expert groups, committees, councils and associations. He is a laureate of 43 awards for achievements in scientific and teaching work. About 20,000 students have attended his lectures in Polish, English and French. His current research interests include technologies of electronic business, e-government and e-governance, digital economy and society, and industry 4.0.

 

Topic: The Impact of Emerging IT on Privacy as a Key Factor of Future e-Business

Abstract: Future e-business will be significantly affected by emerging information technologies such as the internet of things, augmented reality, biometrics, cloud computing and big data analysis. Providing business opportunities and promises of further growth, those technologies pose a severe threat to privacy that will be a key factor of e-business acceptance by consumers. The growing impact of emerging information technologies on persons’ privacy is explained. The modus operandi of several specific privacy destroying technologies is analyzed, as well as mutual dependencies among presented technologies.


 

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