Keynote Speakers

OUR KEYNOTE SPEAKERS




DrRajkumarBuyya
Rajkumar Buyya, Professor
Director, Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia

Bio:

      Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 850 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide (h-index=148, g-index=322, and 115,400+ citations). "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Dr. Buyya is recognised as Web of Science “Highly Cited Researcher” for five consecutive years since 2016, IEEE Fellow, Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier, and the “Best of the World”, in Computing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, and Fog computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 50+ countries around the world. Manjrasoft's Aneka Cloud technology developed under his leadership has received "Frost New Product Innovation Award". He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long standing journal in the field established 50+ years ago. For further information on Dr.Buyya, please visit his cyberhome: (www.buyya.com) , and (Google Scholar Profile) .


Title:

Neoteric Frontiers in Cloud and Edge Computing

Abstract:

Computing is being transformed to a model consisting of services that are delivered in a manner similar to utilities such as water, electricity, gas, and telephony. In such a model, users access services based on their requirements without regard to where the services are hosted or how they are delivered. Cloud computing paradigm has turned this vision of "computing utilities" into a reality. It offers infrastructure, platform, and software as services, which are made available to consumers as subscription-oriented services. Cloud application platforms need to offer (1) APIs and tools for rapid creation of elastic applications and (2) a runtime system for deployment of applications on geographically distributed computing infrastructure in a seamless manner. The Internet of Things (IoT) paradigm enables seamless integration of cyber-and-physical worlds and opening up opportunities for creating new class of applications for domains such as smart cities and smart healthcare. The emerging Fog/Edge computing paradigm is extends Cloud computing model to edge resources for latency sensitive IoT applications with a seamless integration of network-wide resources all the way from edge to the Cloud. This keynote presentation will cover (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) innovative architecture for creating elastic Clouds integrating edge resources and managed Clouds, (c) Aneka 5G, a Cloud Application Platform, for rapid development of Cloud/Big Data applications and their deployment on private/public Clouds with resource provisioning driven by SLAs, (d) a novel FogBus software framework with Blockchain-based data-integrity management for facilitating end-to-end IoT-Fog/Edge-Cloud integration for execution of sensitive IoT applications, (e) experimental results on deploying Cloud and Big Data/ IoT applications in engineering, and health care (e.g., COVID-19), deep learning/Artificial intelligence (AI), satellite image processing, natural language processing (mining COVID-19 research literature for new insights) and smart cities on elastic Clouds; and (f) directions for delivering our 21st century vision along with pathways for future research in Cloud and Edge/Fog computing.




DrJayLee
Jay Lee, Professor
Vice Chairman and Board Member of Foxconn Technology Group

Bio:

      Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. Prior to this position, he served as Vice Chairman of Foxconn Industrial Internet. Currently, he is on leave from Univ. of Cincinnati where he holds Ohio Eminent Scholar and L.W. Scott Alter Chair Professor and is the founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net). In addition, he is the Founding Director of Industrial AI Center (www.iaicenter.com ). He also serves as a member of the Global Future Council on Advanced Manufacturing and Production of the World Economics Forum (WEF) as well as a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM) to engage the global leaders for the development of collaborative activities in smart manufacturing. Previously, he served as senior advisor to McKinsey & Company. Prior to his academic career, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC) as well as Program Directors for a number of programs at NSF. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016 and 20 most influential professors in Smart Manufacturing in June 2020. His new book on Industrial AI was published by Springer in 2020. For publication citation and impacts, see (Google Scholar Profile) and (ResearchGate Profile) .


Title:

Industrial AI and Resilient Manufacturing Systems — Technologies, Challenges and Research Issues

Abstract:

Today, many manufacturing companies are facing increasing challenges to manage its global operations due to several factors including pandemic, geopolitical, workforce, and other unknowns. It necessitates new thinking and technologies to make manufacturing system smarter and resilient. Industrial AI, Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design product, manufacturing, and service systems. It is clear that as more sensors and smart analytics software are integrated in the networked industrial products, manufacturing, and maintenance systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will give an introduction about Industrial AI for smart resilient machines and manufacturing operations. First, Industrial AI systematic approach will be introduced. Case studies on advanced predictive analytics technologies for different manufacturing and maintenance operations will be demonstrated. In addition, research issues on data quality for high performance and real-time data analytics in future predictive manufacturing and maintenance will be discussed.




DrSaifurRahman
Saifur Rahman, Professor, (IEEE LIFE FELLOW)
Director, Advanced Research Institute Virginia Tech, President IEEE Power & Energy Society 2018 and 2019, USA

Bio:

      Professor Saifur Rahman is the founding director of the Advanced Research Institute at Virginia Tech, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment. He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He was the president of the IEEE Power and Energy Society (PES) for 2018 and 2019. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. He has served as the chair of the US National Science Foundation Advisory Committee for International Science and Engineering. He has published over 150 journal papers and has made over six hundred conference and invited presentations. In 2006 he served on the IEEE Board of Directors as the vice president for publications. He is a distinguished lecturer for the IEEE Power & Energy Society and has lectured on renewable energy, energy efficiency, smart grid, energy internet, blockchain, IoT sensor integration, etc. , (Google Scholar Profile) .


Title:

Energy Efficiency in Smart Buildings Through IoT Sensor Integration

Abstract:

Internet of Things (IoT) deployments offer a much higher value proposition if these can function in the context of smart buildings. Such advanced information and communication technology (ICT) applications in commercial buildings, schools, libraries, shopping centers, etc. offer low cost but highly effective monitoring and control opportunities. Sensors deployed in key locations can monitor the building environment in real-time, collect information for intelligent decision making, and facilitate various services. An IoT sensor platform has been developed that provides a unified communication platform which can integrate information from disparate sources and provide one control hierarchy. It is a powerful, low-cost, open-architecture software platform that can monitor and control major electrical loads (e.g., HVAC, lighting and plug loads), as well as solar PV systems, energy storage units and other IoT sensors in commercial buildings. The platform can provide new or legacy buildings with a building automation system (BAS) or connect with existing BAS systems in large and small commercial buildings. This platform leverages machine learning algorithms to draw insights from a deployed building’s historical operating data and occupant preferences to save energy (kWh) while increasing occupant comfort. This also allows buildings to reduce peak demand (kW) through direct communication with utilities using demand response protocols such as openADR.




DrCarinaGonzález
Carina González, Professor
Full Professor, the University of La Laguna

Bio:

      Carina González is a Full Professor of Computer Architecture Technology at the Department of Computer Engineering and Systems of the University of La Laguna (Spain). Carina is a Ph.D. in Computer Science (2001) by the University of La Laguna and a Ph.D. in Social Science and Education (2020) by the University of Huelva (Spain). Bachelor in Computer Science (1995) by the National University of Northeast (Argentina), certified as Computer Engineering by the Spanish Ministry of Education (1999). She is also certified in “Early Childhood Technology” by the Tufts University (USA). She is the head of the research group Interaction, ICT, and Education (ITED). Carina is Chair of the Institute of Women Studies and the Digital Culture of the University of La Laguna. She has been Director of the Innovation and Educational Technology (2011; 2015-2019). For more than 20 years, her research has focused on the field of Informatics applied to Education and Human-Computer Interaction (Intelligent Tutorial Systems, Adaptive and Customizable Interfaces, Educational Video Games, Gamification in Education, e-learning, digital culture), participating in different research projects and publishing widely on these topics. She was co-chair of the conference IEEE EDUCON 2018 (Engineering Education Conference)organized by IEEE education Society among other international conferences. She is an Editor in Chief of the IEEE-RITA (Revista Iberoamericana de Tecnologías del Aprendizaje) of Spanish Chapter of the IEEE Education Society, and Associate Editor of the IEEE Transactions on Education. Also, she is Senior member of IEEE. (Google Scholar Profile) and (ResearchGate Profile) .


Title:

Women in Tech: "Co-education in Engineering: how to promote the equality and diversity in STEAM careers"

Abstract:

The underrepresentation of women in STEM (Science, Technology, Engineering, and Mathematics) careers is a global problem that is being studied and addressed through various initiatives. This talk presents an analysis of the factors that influence the gender gap in STEM studies, both in terms of career choice, career retention, supports, and interventions that promote diversity and inclusion. It also highlights some of the main challenges and initiatives that could help narrow the gender gap in STEM careers, among which co-education stands out.