Title of the Talk: Upcoming Technologies for an Interconnected society
Biography: Xavier Fernando is a Professor at the Dept. of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles, two books (one translated to Mandarin) and holds few patents and non-disclosure agreements. He is the Director of Ryerson Communications Lab (www.ee.ryerson.ca/rcl) that has received total research funding of $3,185,000.00 since 2008 from industry and government (including joint grants. Information about the alumni of this lab is available here.He was an IEEE Communications Society Distinguished Lecturer and delivered close over 50 invited talks and keynote presentations all over the world. He was a member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was the Chair IEEE Canada Humanitarian Initiatives Committee 2017-18. He was also the Chair of the IEEE Toronto Section and IEEE Canada Central Area. He was the General Chair for IEEE International Humanitarian Technology Conference (IHTC) 2017 and the General Chair of IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2014. He has been in the organizing/steering/technical program committees of numerous conferences and journals. He was a Member of Board of Governors of Ryerson University during 2011-12.He is a program evaluator for ABET (USA). He was a visiting scholar at the Institute of Advanced Telecommunications (IAT), UK in 2008 and MAPNET Fellow visiting Aston University, UK in 2014. Ryerson University nominated him for the Top 25 Canadian Immigrants award in 2012 in which was a finalist.
Abstract: Information and communication technologies (ICT) have been changing the way we live. The changes are very significant in recent times. Social media has become a part of our lives and goes way beyond being a fun accessory. It plays a key role in unraveling people power and creating collective opinions even in the US election. The difference between computers, phones, cameras, televisions, audio players and even the bank machine is diminishing as a single device can perform all these tasks and much more. Our kids use more ‘i’ devices than toys. Photonic and radio technologies jointly enable anytime, anywhere, broadband wireless connectivity. Modern wireless technology provides numerous seamless services, from receiving images, video and tweets from the deep space to providing communications and tracking for underground miners. Internet of Things is expanding rapidly. The world is increasingly populated with sensors and connected devices that automatically communicate, make decisions and perform complex tasks. The power grid is getting smarter, self healing and more resilient. Autonomous, electric cars will soon be a common thing, receiving and redelivering electricity to the grid. Our homes will soon generate their own energy and be more interactive.
However, there are other issues with the ICT as well. Too much reliance on ICT and automation could cause trouble when things malfunction. Management of complex systems and ensuring reliability is generally a demanding task. Privacy and security will always be an issue in a highly automated i-society. Things could get very bad during natural and manmade disasters. On another aspect, the power consumption of ICT equipment is rapidly increasing. That of networks servers was 150 GW in 2007 and expected increase by 300% by 2020. This is another topic that needs attention. In this talk, various cutting-edge technologies towards the realization of an interconnected-society will be highlighted. Their limitations will also be discussed.
Title of the Talk: Multi-lingual Cyberbullying detection using collaborative approaches
Biography: Rajeev R. Raje is a Professor in the Department of Computer and Information Science (CIS) and is currently serving as an Associate Dean in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI). Dr. Raje's research interests are in the fields of distributed and service-oriented software systems, programming languages, and software engineering. Dr. Raje is an author/co-author of more than 145 publications. His current and past research has been supported by various federal and private organizations – total support (as a PI or Co-PI) for his research efforts is worth more than 6.5 M$. Dr. Raje is a Senior Member of the ACM and IEEE and co-directs the software engineering and distributed systems (SEDS) group in the CIS department. He is also a recipient of a few awards including the J. N. Tata Endowment Scholarship, and different Research, Service, and Teaching honors.
Abstract: The omnipresence of social media has many benefits but also downsides. Cyberbullying is one such menace in the online world – it inflicts significant emotional damages on the victims. Although there are many efforts to curb cyberbullying, a vast majority of these either tend to be limited to English and/or are stand-alone in nature. This talk will describe our efforts in detecting cyberbullying behavior in multiple languages, including two Indian languages, using a collaborative framework. The approach uses principles of natural language processing, machine learning, collaborative paradigms, and distributed systems. Various experimental configurations and associated results will be discussed.
Title of the Talk:
Biography: Dr. Farookh Hussain is a Professor in School of Computer Science, University of Technology, Sydney- Australia and is currently serving as an Head of Software Engineering. Dr. Farookh Hussain is an Associate member of Advanced Analytics Institute and Core-Member of Australian Artificial Intelligence Institute. He has written various books and book chapters to his accounts, to name a few: Measuring and Analysing the Use of Ontologies: A Semantic Framework for Measuring Ontology Usage, Risk Assessment and Management in the Networked Economy and Trust and Reputation for Service-Oriented Environments: Technologies for Building Business Intelligence and Consumer Confidence. His research interests are in the fields of Block Chain, Machine Learning, Trust Based Computing, Service Oriented Computing and Cloud of Things. He has published widely in these areas in top journals, such as FGCS, the Computer Journal, JCSS, the IEEE Transactions on Industrial Informatics, and the IEEE Transactions on Industrial Electronics. He has published around 500+ papers in various International Journal and Conferences. He had completed around 50+ funded projects for the government and various private organisations.
Title of the Talk: Mutual Learning, Interactive Data Science, and Their Applications in Education
Biography: Dr. Snehasis Mukhopadhyay is the Associate Director of STEM Education Innovation and Research Institute and a Professor in the Department of Computer and Information Science at IUPUI. He received his Ph.D. from Yale University, and a Master’s degree from the Indian Institute of Science, Bangalore, India. He received a CAREER award from the NSF for integrating research and education. He has continuously received research funding from government agencies including NSF, NIH, NOAA, and USDA. He has twice received the Indiana University Trustees Teaching Awards (TTA) in the years 2014 and 2017. He has provided extensive professional services including being NSF Review panelist on multiple occasions, and being the General Chair of the 2016 ACM International Conference on Information and Knowledge management (CIKM). His current research interests are in the areas of Artificial Intelligence, Machine Learning, Interactive Data Science, and Computer/Computational Science Education Research.
Abstract: In the first part, we will discuss the problem of Mutual Learning between two machines (computationally modeled as two algorithms). This work is currently supported by an NSF grant. In the second part, we will discuss learning happening between a machine (an algorithm) and a human user, in a framework termed as “Interactive Data Science”. This work is supported by a current grant jointly from the USDA and NSF. In the third part, we will discuss some potential applications of mutual learning and interactive data science in an educational setting. Such applications focus on learner personalization and adaptive instruction strategies.
Title of the Talk: Industry 4.0 – AI, Robotics and Automation
Biography: Dr. Prahlad VADAKKEPAT, an Associate Professor at the National University of Singapore is the founder secretary of the Federation of International Robot-soccer Association and was its General Secretary during 2000-16. DR. VADAKKEPAT’s contributions in FIRA has led to several start-ups in robotics and embedded systems. He chaired the Futurescape 2025 panel on “I, Robot” by A*STAR Singapore. He is a nominated member of the Loka Kerala Sabha (World Kerala Assembly) initiated by Govt. of Kerala, India. He is one of the resource persons in the Igniting Minds movement by Vijyana Bharathi India (VIBHA) which is a programme enabling students to shed conventions and think out of the box. He has produced a full length feature film in Malayalam language which has received accolades at international film festivals. DR. VADAKKEPAT is the Editor-In-Chief for the Springer Reference Book on Humanoid Robotics. He is an associate editor of the International Journal of Humanoid Robotics. He is an associate editor of the International Journal of Humanoid Robotics. He was the general chair to the FIRA Robot World Cup & Congress Singapore 2005, General Program Chair to FIRA Robot World Congress Incheon 2009 and General Chair to FIRA Robot World Cup & Congress Bangalore 2010. His Humanoid robots and robot soccer teams have consistently won several international prizes: First prize and overall championship in Humanoid robot soccer at the FIRA Robot World Cup (Germany 2006, Singapore 2005 and Austria 2003), First Prize (open category) in Singapore Robotic Games (2004) and Second prize in FIRA 2004. He was the founder director to an entrepreneurial start-up “Robhatah Robotic Solutions” at Singapore and Bangalore.
Abstract: The fourth industrial revolution, namely Industry 4.0, is a buzz word lately. Industries have established R&D processes, plant operations, supply chains and technologies. Now the industries need to change and improve the sets of processes to remain competitive. Industry 4.0 is a broad term involving modern technologies and processes that can integrate, replace or improve legacy technologies and processes leading to improved productivity. With improvements in productivity and efficiency, the carbon footprint will reduce which in turn will contribute towards sustainability. Internet of Things, Artificial Intelligence, Robotics and Automation are transforming industries to cyber physical systems. With historical data and insights along preventive maintenance, the entire production line can be visualised, and decisions can be taken autonomously. When industries embrace the Industry 4.0 transformation, skill sets in AI, IoT, Robotics and Automation will dominate, while certain typical job profiles ceasing to exist in the next 5 or 7 years. Increased awareness about Industry 4.0 and sustainability is essential and school curricula need changes to prepare graduates who are future ready. It is hoped that AI, IoT, Robotics and Automation will contribute towards paving the way for a better tomorrow for all. This talk will focus on Industry 4.0 related technologies and the challenges faced by Industry and ahead. That in turn can highlight the need for changes academia and research to prepare for a unique tomorrow.
Title of the Talk: Towards Effective Complex Data Learning
Biography: Zhongfei (Mark) Zhang is a professor at Computer Science Department, Binghamton University, State University of New York (SUNY), USA. He received a B.S.in Electronics Engineering (with Honors), an M.S. in Information Sciences, both from Zhejiang University, China, and a PhD in Computer Science from the University of Massachusetts at Amherst, USA. He was on the faculty of Computer Science and Engineering at SUNY Buffalo, before he joined the faculty of Computer Science at SUNY Binghamton. He is the author or co-author of the very first monograph on multimedia data mining and the very first monograph on relational data clustering. He holds more than thirty inventions, has served as members of organization committees of several premier international conferences in his areas, and as editorial board members for several international journals. He served as a French CNRS Chair Professor of Computer Science at the University of Lille 1 in France, a JSPS Fellow in Chuo University, Japan, a QiuShi Chair Professor in Zhejiang University, China, as well as several visiting professorships from many universities in the world when he was on leave from Binghamton University years ago. He received many honors including SUNY Chancellor’s Award for Scholarship and Creative Activities, and SUNY Chancellor’s Promising Inventor Award. He is an IEEE Fellow.
Abstract: Complex data include almost all the data scenarios we encounter everyday and also we face in many real-world applications. The specific examples in complex data learning for knowledge discovery include problems in social network analysis, natural language understanding and visual data understanding, as well as problems in noisy data learning. In this talk, I will introduce the recent work on effective learning for complex data.
Title of the Talk: Relevance of CyberSecurity In Artificial Intelligence
Biography: Vandana is a seasoned security professional with experience ranging from application security to infrastructure and now dealing with DevSecOps. She has been Keynote speaker / Speaker / Trainer at various public events ranging from Global OWASP AppSec events to BlackHat events to regional events like BSides events in India. She is part of the OWASP Global board of directors. She also works in various communities towards diversity initiatives InfosecGirls, WoSec and null.
She has been recipient of multiple prestigious awards like Cyber Security Woman of the Year Award 2020 by Cyber Sec Awards, Global cybersecurity influencer among IFSEC Global's "Top Influencers inSecurity and Fire" Category for 2019, Cybersecurity Women of the year award by Women Cyberjutsu Society in the Category “Secure Coder”. She has also been listed as one of the top women leaders in this field of technology and cybersecurity in India by Instasafe.
Title of the Talk: Blockchain-based Trustworthy AI
Biography: Dr. Boris Düdder is associate professor at the department of computer science (DIKU) at the University of Copenhagen (UCPH), Denmark. His primary research interests are artificial intelligence and formal methods in software engineering, where he is studying automated program generation for adaptive systems with high dependability guarantees. He is working on the computational foundations of reliable and secure data ecosystems. His research is bridging the formal foundations of computer science and complex industrial applications. He is a member of the steering committee of Skylab Digital, Denmark, and head of the Research Group Software Engineering and Formal Methods at DIKU. He acting as co-head of the Cyber Security and Privacy Research group at DIKU.
He is a guest lecturer at the Copenhagen Business School (CBS), Denmark, and the University of Electronic Science and Technology of China (UESTC), Chengdu, P.R. China. He is involved in multiple projects on innovative and dependable industrial IT infrastructure for enterprises, manufacturing industries, and national healthcare IT, e.g., Data Ecosystems, Smart Factories, and Industry 4.0.
He is a member of the European Blockchain Center (EBCC), co-organizer of the Blockchain Summer Schools in Copenhagen in 2017-2020, and UCPH representative at the European Cyber Security Organisation (ECSO), Brussels, Belgium. He received his Ph.D. (Dr. rer. nat.) at the Technical University of Dortmund, Germany, where he worked nine years as a research chair manager and senior researcher. He was a senior researcher at the Fraunhofer Institute for Software- and Systems Engineering (ISST) and Fraunhofer Institute for Material Flow and Logistics (IML), Dortmund, Germany.
Abstract: The ethical and societal implications of artificial intelligence systems are a general concern. A possible solution is to have AI systems be trustworthy by being auditable for potential harm by investigators. In this talk, we introduce Z-Inspection, a reference and a process model for AI Ethical maintenance, to help monitor AI systems after deployment, preserve ethical principles, and ensure robustness, from both a technical and social perspective, within the context of given legal and contractual frameworks. The framework is augmented by a Blockchain providing a tamper-resistant log of evidence for the AI/ML model's training and execution. The log provides trustworthy evidence on events and provides non-repudiable evidence during audits. We illustrate the benefits of Trustworthy AI with a case study in healthcare.