Congress Keynotes

atiq21Title of talk:           How Machine Learning and AI will revolutionize the Future Real-time Applications in the context of Brooks-Iyengar Algorithm


S S Iyengar, Ph.D.

              Florida International University, USA


Abstract: This talk will focus on computational theories of Machine Learning in the context of BI algorithm when it was published in early 90’s. The first part of the talk explores the optimality and adaptively of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problem. Specifically, the speaker will present the problem of subspace clustering with noisy and missing data, which is a problem well motivated by practical applications. Many examples will be illustrated to see the power of Machine Learning and Deep learning techniques for real-time applications.


Bio: S. S. Iyengar is a Distinguished Ryder Professor and Director of the School of Computing and Information Sciences at Florida International University, Miami. Dr. Iyengar is a pioneer in the field of distributed sensor networks/sensor fusion, computational aspects of robotics and high performance computing. He has published over 600 research papers and has authored/edited 22 books published by MIT Press, John Wiley & Sons, Prentice Hall, CRC Press, Springer Verlag, etc. These publications have been used in major universities all over the world. He has many patents and some patentents are featured in the World’s Best Technology Forum in Dallas, Texas. His research publications are on the design and analysis of efficient algorithms, parallel computing, sensor networks, and robotics. During the last four decades, he has supervised over 55 Ph.D. students, 100 Master’s students, and many undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world. He has also had many undergraduate students working on his research projects. Recently, Dr. Iyengar received the Times Network 2017 Nonresident Indian of the Year Award—a presigious award for Global Indian leaders.


Dr. Iyengar is a member of the European Academy of Sciences, a Fellow of IEEE, a Fellow of ACM, a Fellow of AAAS, a Fellow of the National Academy of Inventors NAI and a Fellow of Society of Design and Process Program (SPDS), Fellow of Institution of Engineers (FIE), a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), was awarded a Distinguished Alumnus Award of the Indian Institute of Science, Bangalore, and the IEEE Computer Society Technical Achievement for the contributions to sensor fusion algorithms, and parallel algorithms. He also received the IBM Distinguished Faculkty Award, NASA Fellowship Summer Awards at Oakridge National Lab and the Jet Propulsion Lboratory. He is a Village Fellow of the Academy of Transdisciplinary Learning and Advanced Studies in Austin, Texas, 2010.


He has received various national and international awards including the Times Network NRI (Non-Resident Indian) of the Year Award for 2017, the National Academy of Inventors Fellow Award in 2013, the NRI Mahatma Gandhi Pradvasi Medal at the House of Lords in London in 2013, a Lifetime Achievement Award conferred by International Society of Agile Manufacturing (ISAM) in recognition of his illustrious career in teaching, research and administration and a lifelong contribution to the fields of Engineering and Computer Science at Indian Institute of Technology (BHU). In 2012, Iyengar and Nulogix were awarded the 2012 Innovation-2-Industry (i2i) Florida Award. Iyengar received a Distinguished Research Award from Xaimen Uiversity, China for his research in Sensor Networks, Computer Vision and Image Processing. Iyengar's landmark contributions with his research group include the development of grid coverage for surveillance and target location in distributed sensor networks and the Brooks Iyengar fusion algorithm. He has also been awarded Honorary and Doctorate of Science and Engineering Degree. He serves on the advisory board of many corporations and universities around the world. He has served on many National Science Boards such as NIH - National Library of Medicine in Bioinformatics, National Science Foundation review panel, NASA Space Science, Department of Homeland Security, Office of Naval Security, and many others. His contribution to the US Naval Research Laboratory was a centerpiece of a pioneering effort to develop image analysis for science and technology and to expand the goals of the US Naval Research Laboratory.


The impact of his research contributions can be seen in companies and National Labs like Raytheon, Telecordia, Motorola, the United States Navy, DARPA, and other US agencies. His contribution in DARPAS's program demonstration with BBN, Cambridge, Massachussetts, MURI, researchers from PSU/ARL, Duke, University of Wisconsin, UCLA, Cornell university and LSU has been significant.


He is also the founding Editor of the International Journal of Distributed Sensor Networks.He has been on the editorial board of many journals and is also a PhD Committee Member at various universities, including CMU, Duke University, and many others throughout the world. He is presently the Editor of ACM Computing Surveys and other journals. He is also the founding director of the FIU’s Discovery Laboratory. His research work has been cited extensively. His fundamental work has been transitioned into unique technologies. All through his four-decade long professional career, Dr. Iyengar has devoted and employed mathematical morphology in a unique way for quantitative understanding of computational processes for many applications.


atiq21Title of talk:           Unmanned Swarm Planning and Control based on Bionic Movement


C. L. Philip Chen, Ph.D.

South China University of Technology, China


Abstract: This talk presents swarm control for self-organized system with fixed and switching topologies based on bionic movement. The generation strategy, motion control law of a novel leader-follower relation-invariable persistent formation (RIPF), which is a kind of distance-based directed formation for multi-agent systems (MASs), will be discussed. An efficient algorithm is designed to find out if a persistent formation can be generated from a rigid graph. Derived from the properties of a rigid graph, an algorithm to generate a RIPF from any initial location is presented. The communication topology is automatically generated based on RIPF. With the selected minimum agent-movement RIPF, lastly, a control law is designed to drive this initial RIPF to the desired RIPF with given distances among agents. Simulation results show the proposed generative method, control law, and downward-tree are effective to realize the desired formation.


Bio: C. L. Philip Chen is the Chair Professor and Dean of the College of Computer Science and Engineering, South China University of Technology. Being a Program Evaluator of the Accreditation Board of Engineering and Technology Education (ABET) in the U.S., for computer engineering, electrical engineering, and software engineering programs, he successfully architects the University of Macau’s Engineering and Computer Science programs receiving accreditations from Washington/Seoul Accord through Hong Kong Institute of Engineers (HKIE), of which is considered as his utmost contribution in engineering/computer science education for Macau as the former Dean of the Faculty of Science and Technology. He is a Fellow of IEEE, AAAS, IAPR, CAA, and HKIE; a member of Academia Europaea (AE), European Academy of Sciences and Arts (EASA), and International Academy of Systems and Cybernetics Science (IASCYS). He received IEEE Norbert Wiener Award in 2018 for his contribution in systems and cybernetics, and machine learnings. He is also a 2018 highly cited researcher in Computer Science by Clarivate Analytics.


His current research interests include systems, cybernetics, and computational intelligence. Dr. Chen was a recipient of the 2016 Outstanding Electrical and Computer Engineers Award from his alma mater, Purdue University, after he graduated from the University of Michigan at Ann Arbor, Ann Arbor, MI, USA in 1985. He was the IEEE Systems, Man, and Cybernetics Society President from 2012 to 2013, and currently, he is the Editor-in-Chief of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, and an Associate Editor of the IEEE Transactions on Fuzzy Systems, and IEEE Transactions on Cybernetics. He was the Chair of TC 9.1 Economic and Business Systems of International Federation of Automatic Control from 2015 to 2017 and currently is a Vice President of Chinese Association of Automation (CAA).



SchahramDustdarTitle of talk:           Edge Intelligence: The Convergence of Humans, Things, and AI


  Schahram Dustdar, Ph.D.

TU Wien, Austria


Abstract: Edge AI and Human Augmentation are two major technology trends, driven by recent advancements in edge computing, IoT, and AI accelerators. As humans, things, and AI continue to grow closer together, systems engineers and researchers are faced with new and unique challenges. In this talk, we analyze the role of Edge computing and AI in the evolution of cyber-human partnerships, and identify challenges that Edge computing systems will consequently be faced with. We take a closer look at how a cyber-physical fabric will be complemented by AI operationalization to enable seamless end-to-end Edge intelligence systems.


Bio: Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He also holds several honorary positions: Monash University in Melbourne Australia, Shanghai University in China, Macquarie University in Sydney Australia, and University of Groningen (RuG), The Netherlands (2004-2010). 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 (Cap Gemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerece (2002).


He is co-Editor-in-Chief of the new 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 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 the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), 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).



atiq21Title of talk:           Connecting Space Assets to the Internet: Challenges and Solutions


              Mohammed Atiquzzaman, Ph.D.

              University of Oklahoma, USA


Abstract: Data communications between Earth and spacecrafts, such as satellites, have traditionally been carried out through dedicated links. Shared links using Internet Protocol-based communication offers a number of advantages over dedicated links. The movement of spacecrafts however gives rise to mobility management issues.


This talk will discuss various mobility management solutions for extending the Internet connection to spacecrafts.  The talk with provide an overview of the network layer based  solution being developed by the Internet Engineering Task Force and compare with the transport layer based solution that have been developed at University of Oklahoma in conjunction with the National Aeronautics and Space Administration. Network in motion is an extension of the host mobility protocols for managing the mobility of networks which are in motion, such as those in airplanes and trains. The application of networks in motion will be illustrated for both terrestrial and space environment.


Bio: Mohammed Atiquzzaman obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) in 1984 and 1987, respectively.  He currently holds the Edith J Kinney Gaylord Presidential professorship in the School of Computer Science at the University of Oklahoma.


Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, the founding Editor-in-Chief of Vehicular Communications, and serves/served on the editorial boards of many journals including IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks and International Journal of Communication Systems. He co-chaired the IEEE High Performance Switching and Routing Symposium (2003, 2011), IEEE Globecom and ICC (2014, 2012, 2010, 2009, 2007, 2006), IEEE VTC (2013)  and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003). He was the panels co-chair of INFOCOM’05, and is/has been in the program committee of many conferences such as INFOCOM, Globecom, ICCCN, ICCIT, Local Computer Networks, and serves on the review panels at the National Science Foundation.


Dr. Atiquzzaman received IEEE Communication Society's Fred W. Ellersick Prize, IEEE Distinguished Technical Achievement Award, IEEE Satellite Communications Technical Contribution Award, and NASA Group Achievement Award for "outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications" project. He is the co-author of the book “Performance of TCP/IP over ATM networks” and has over 350 refereed publications, available at


His current research interests are in areas of transport protocols, wireless and mobile networks, ad hoc networks, satellite networks, power-aware networking, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), U.S. Air Force, Cisco, Honeywell, Oklahoma Department of Transportation and Oklahoma Highway Safety Office.



RichardTitle of talk:           Blockchain: The Good, The Bad, and The Ugly


Richard R. Brooks, Ph.D.

Clemson University, USA


Abstract: The blockchain data structure achieved notoriety with Satoshi’s Bitcoin proposal. This data structure integrated many existing technologies to create immutable distributed ledgers. This talk consists of three main sections:

• First we explain how distributed ledgers work. This concentrates on the reliability and security attributes that they provide, how these attributes are guaranteed, and why the guarantees are sound.

• We then explain attributes that are not provided by distributed ledgers currently, but are often mistakenly assumed. Many of these assumptions have resulted in inflated expectations for the technology that may harm further development. We also discuss aspects of current systems that are problematic and inefficient.

• The final portion discusses some of the negative publicity that has been associated with blockchain by respected researchers. This is likely to be a reaction to some of the excessive promises and hype that has arisen.

The talk ends with a discussion of the existing technology along with the desirable extensions we are likely to see in the near future. This will include trying to estimate exactly where blockchain technologies are at the moment in Gartner’s hype cycle.


Bio: Dr. Richard R. Brooks got his BA from Johns Hopkins University in Mathematical Sciences and PhD in Computer Science from Louisiana State University. He was head of the Penn State ARL distributed systems department for 7 years and is now a professor of Computer Engineering at Clemson. Dr. Brooks' network security research projects have included funding from NSF (analyzing denial of service), DoE (authentication and authorization), BMW Corporation (penetration testing), NIST (standards definition), AFOSR (timing side-channels) and the US State Department (creating anonymous communications tools). He finds attacks that disable security measures by working at a different level of the protocol stack. His Internet freedom work involves interactions with at risk populations working for freedom of expression. He has current work that looks at using the blockchain to secure meta-data, securing connected vehicles, and making the smart grid robust to attacks.



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