KEYNOTE SPEAKERS:
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Professor Schahram Dustdar, IEEE Fellow,
website: https://dsg.tuwien.ac.at/team/sd/ |
SPEECH TITLE: "Edge Intelligence – Engineering the New Fabric of IoT, Edge, and Cloud"
SUMMARY:
As humans, things, software and AI continue to become the entangled fabric of distributed systems, systems engineers and researchers are facing novel challenges. In this talk, we analyze the role of IoT, Edge, Cloud, and Human-based Computing as well as AI in the co-evolution of distributed systems for the new decade. We identify challenges and discuss a roadmap that these new distributed systems have to address. We take a closer look at how a cyber-physical fabric will be complemented by AI operationalization to enable seamless end-to-end distributed systems.
ABOUT THE SPEAKER:
Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He has an H-index of 79 with some 36,000 citations. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, University Pompeu Fabra, Barcelona, Spain. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA.
From 1999 – 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (CapGemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerce (2002).
He is founding co-Editor-in-Chief of ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Computing Surveys, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer.
Dustdar is recipient of multiple awards: IEEE TCSVC Outstanding Leadership Award (2018), IEEE TCSC Award for Excellence in Scalable Computing (2019), ACM Distinguished Scientist (2009), ACM Distinguished Speaker (2021), IBM Faculty Award (2012). He is an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016) and an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow (2021).
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Professor Cecilia Metra IEEE Fellow,
website: https://www.unibo.it/sitoweb/cecilia.metra/cv-en |
SPEECH TITLE: "Safety, Reliability and Resiliency Challenges for Highly Autonomous Intelligent Systems"
SUMMARY:
Intelligent systems, capable of taking autonomous decisions based on AI algorithms, are becoming more and more widespread in several application fields (autonomous robots, autonomous vehicles, smart factories, smart agriculture, etc.). This thanks to their possible adoption to replace and/or collaborate with humans in harsh environments (hospitals, mines, space, etc.) and/or in difficult jobs (goods delivery, surveillance, etc.). They are complex systems, requiring intelligence at the edge (for low-latency data acquisition and processing), in the network, and up to the cloud and related services. Since such autonomous intelligent systems are in a closed collaboration with human beings and/or the health of human beings may depend on their operation, the need to guarantee their functional safety, reliability and resiliency with respect to hazardous conditions emerges. Enabling to increase the autonomy level of such intelligent systems, thus moving towards a smarter world, mandates to satisfy stronger requirements in terms of their functional safety, reliability and resiliency. Safety, reliability and resiliency challenges to enable highly autonomous intelligent systems, as well as possible solutions will be addressed.
This is a joint work with Yana Safonova (UCSD), Vinnu Bharvaj (UCSD), Stefano Bonissone (Digital Proteomics), and Andrey Bzikadze (UCSD).
ABOUT THE SPEAKER:
Cecilia Metra is a full Professor and the Deputy President of the School of Engineering at the University of Bologna, Italy, where she has worked since 1991, and from which she received a PhD in electronic engineering and computer science. In 2002, she was visiting faculty consultant for Intel Corporation.
She was the 2019 President of the IEEE Computer Society, and she is 2021 IEEE Director-Elect/Division V Delegate-Elect (2022 and 2023 IEEE Director/Division V Delegate).
She is a member of the IEEE Young Professionals Committee, the IEEE European Public Policy Committee, the IEEE Smart Village Governing Board, the Systems Council Advisory Committee, and the IEEE Conferences Committee. She is the Chair of the EPPC Working Group on ICT, and the Co-Chair of the IEEE Digital Reality Initiative Project on “Reliable, Safe, Secure and Time Deterministic Intelligent Systems”.
She was the Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computing and of Computing Now, and the Associate Editor-in-Chief of IEEE Transactions on Computers. She contributed to numerous IEEE international conferences/symposia/workshops as General/Program Chair/Co-Chair and technical program committee member. She has published extensively on design for test, reliability, safety and resiliency of integrated circuits and systems.
She is an IEEE Fellow, IEEE CS Golden Core Member, and a member of the IEEE Honor Society IEEE-HKN. She has received two Meritorious Service Awards and six Certificates of Appreciation from the IEEE CS.
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Professor Robert Pless Department Chair
website: https://www.cs.seas.gwu.edu/robert-pless |
SPEECH TITLE: "Computer Vision, Glitter and Geometry"
SUMMARY:
We explore the use of glitter in the design of imaging systems. This allows a regular camera to obtain a diverse sampling of a local light field, or can be used to create an optically interesting light field suitable for measuring camera properties. We talk about the process of calibrating such a system, as well as specific algorithms for high-speed point light source tracking and single image camera calibration. The single image camera calibration is especially interesting because it provides a robust, accurate camera calibration process based on taking an image of a single sheet of glitter illuminated by a point light source. We derive the solution for the intrinsic and extrinsic camera calibration parameters. We show results on a physical prototype that is comparable to standard approaches that require taking dozens of images of a checkerboard, and discuss possible commercial implications of single image camera calibration in industrial applications.
ABOUT THE SPEAKER:
Professor Robert Pless conducts research in the area of computer vision with applications to environmental science, medical imaging, robotics and virtual reality. He is particularly interested in studying data-driven and geometric techniques to more robustly understand images taken “in the wild.” This research exploits the fact that cameras are incredibly precise measurement systems: if they are calibrated properly, then the vast quantities of visual data they collect can help us learn, understand, and manipulate the world around us. At a high level, the current themes of research in his lab are: understanding visual change at scales from the sidewalk to the planet, studying next generation imaging systems for virtual reality and robotics, and democratizing visual analytics with applications to social justice.
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Professor Raffaele Perego Institute for Information Science and Technologies "Alessandro Faedo", Italy
website: http://raffaele.isti.cnr.it/ |
SPEECH TITLE: "High-throughput AI in large-scale systems."
SUMMARY:
Artificial Intelligence solutions achieving state-of-the-art performance on a wide array of tasks rely on ever larger models as measured by the number of parameters and the size of training data. The deployment of such models in online applications is critical when we have to tradeoff between prediction throughput and accuracy. This talk introduces the peculiarities of this problem by identifying relevant scenarios where finding the best throughput/accuracy trade-off is definitely important and challenging such as in ranking search results, prioritizing social network posts, identifying defects in production lines. We present some technical solutions for real-world cases and the open challenges. We finish discussing how we can address these challenges.
ABOUT THE SPEAKER:
BIO: Raffaele Perego is a research director at the Institute of Information Science and Technologies "Alessandro Faedo" of the National Research Council of Italy (CNR. His areas of expertise are web search and data mining, information retrieval, efficiency in machine learning algorithms. The focus is addressing problems related to the design of scalable information systems that can provide effective answers to complex queries by possibly using limited computational resources. He was a recipient in 2014 of the Yahoo FREP award, and in 2015 co-recipient of the ACM SIGIR 2015 Best Paper Award. He chaired the ACM SIGIR Conference in 2016 and the BCS-IRSG ECIR Conference in 2021.
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Professor Tofigh Allahviranloo Professor of applied mathematics,
website: https://akademik.bahcesehir.edu.tr/web/tofighallahviranloo/en/index.html |
SPEECH TITLE: "Complete Uncertainty in Dynamic Systems"
SUMMARY:
In this talk, as a first fold, we discuss the several types of uncertainties and their combinations. The second fold is about using these uncertainties in dynamic systems that do have many applications in real-world problems like biological systems and computer science. As an application, we are going to explore the solution of dynamic systems with several uncertain data that are related to cancer and drug release problems.
ABOUT THE SPEAKER:
Tofigh Allahviranloo, Ph.D., is Full Professor of applied mathematics at Bahcesehir University, Turkey. As a trained mathematician and computer scientist, Prof. Allahviranloo has developed a passion for multi- and interdisciplinary research.He is not only deeply involved in fundamental research in fuzzy applied mathematics, especially fuzzy differential equations, but he also aims at innovative applications in the applied biological sciences. He is author of several books and many research papers published by Elsevier and Springer. He actively serves the research community, as Editor-in-Chief of the International J. of Industrial Mathematics and Associate Editor of several other journals, including Information Sciences, Fuzzy Sets and Systems, Journal of Intelligent and Fuzzy Systems, Iranian Journal of Fuzzy systems, and Mathematical Sciences.