Making Sense of All Things Handwritten - From Postal Addresses to Tablet Notes
Venu Govindaraju, University at Buffalo, United States
A Mission-centric Framework for Cyber Situational Awareness
Sushil Jajodia, George Mason University Fairfax, United States
On Knowledge Discovery and Interactive Intelligent Visualization of Biomedical Data - Challenges in Human–Computer Interaction & Biomedical Informatics
Andreas Holzinger, Medical University Graz, Austria
Cyberinfrastructure for eScience and eBusiness from Clouds to Exascale
Geoffrey C. Fox, Indiana University, United States
A Perspective of the Networks of the Future and Smart Cities
Luis M. Correia, IST/IT-Technical University of Lisbon, Portugal
Making Sense of All Things Handwritten - From Postal Addresses to Tablet Notes
Venu Govindaraju
University at Buffalo
United States
Brief Bio
Dr. Venu Govindaraju is a SUNY Distinguished Professor of Computer Science and Engineering at the University at Buffalo (SUNY Buffalo). He has authored over 325 scientific papers and supervised the doctoral dissertation of 25 students. His seminal work in handwriting recognition was at the core of the first handwritten address interpretation system used by the US Postal Service.
Dr. Govindaraju has won several awards for his scholarship including the IEEE Technical Achievement Award (2010). He is a Fellow of the AAAS, ACM, IAPR and IEEE.
Abstract
The handwritten address interpretation system pioneered in our lab at UB is widely regarded as one of the key success stories in AI. It integrated the document processing steps of binarization, segmentation, recognition, and combination of classifiers with carefully handcrafted rules. Advances in machine learning (ML) in the past decade, made possible by the abundance of training data, storage, and processing power, have facilitated the development of principled approaches for many of the same modules.
A Mission-centric Framework for Cyber Situational Awareness
Sushil Jajodia
George Mason University Fairfax
United States
Brief Bio
Sushil Jajodia is University Professor, BDM International Professor, and the director of Center for Secure Information Systems in the Volgenau School of Engineering at the George Mason University, Fairfax, Virginia. He served as the chair of the Department of Information and Software Engineering during 1998-2002. He joined Mason after serving as the director of the Database and Expert Systems Program within the Division of Information, Robotics, and Intelligent Systems at the National Science Foundation. Before that he was the head of the Database and Distributed Systems Section in the Computer Science and Systems Branch at the Naval Research Laboratory, Washington and Associate Professor of Computer Science and Director of Graduate Studies at the University of Missouri, Columbia. He has also been a visiting professor at the University of Milan, Italy; Sapienza University of Rome, Italy; Isaac Newton Institute for Mathematical Sciences, Cambridge University, England; and King's College, London, England. He received his PhD from the University of Oregon, Eugene. The scope of his current research interests encompasses information secrecy, privacy, integrity, and availability problems in military, civil, and commercial sectors. He has authored or coauthored six books, edited 38 books and conference proceedings, and published more than 400 technical papers in the refereed journals and conference proceedings. He is also a holder of eight patents and has several patent applications pending. He received the 1996 IFIP TC 11 Kristian Beckman award, 2000 Volgenau School of Engineering Outstanding Research Faculty Award, 2008 ACM SIGSAC Outstanding Contributions Award, and 2011 IFIP WG 11.3 Outstanding Research Contributions Award. He was recognized for the most accepted papers at the 30th anniversary of the IEEE Symposium on Security and Privacy. He has supervised 26 doctoral dissertations. His h-index is 70 and Erdos number is 2. He has served in different capacities for various journals and conferences. He serves on the editorial boards of IET Information Security, International Journal of Information and Computer Security, and International Journal of Information Security and Privacy. He was the founding editor-in-chief of the Journal of Computer Security (1992-2010) and a past editor of ACM Transactions on Information and Systems Security (1999-2006), International Journal of Cooperative Information Systems (1992-2011), and IEEE Transactions on Knowledge and Data Engineering. He is the consulting editor of the Springer International Series on Advances in Information Security. He has been named a Golden Core member for his service to the IEEE Computer Society, and received International Federation for Information Processing (IFIP) Silver Core Award "in recognition of outstanding services to IFIP" in 2001. He is a past chair of the ACM Special Interest Group on Security, Audit, and Control (SIGSAC), IEEE Computer Society Technical Committee on Data Engineering, and IFIP WG 11.5 on Systems Integrity and Control. He is a senior member of the IEEE and a member of IEEE Computer Society and Association for Computing Machinery.
Abstract
Today, when a security incident occurs, the top three questions security administrators would ask are in essence: What has happened? Why did it happen? What should I do? Answers to the first two questions form the core of Cyber Situational Awareness. Whether the last question can be satisfactorily answered is greatly dependent upon the cyber situational awareness capability of an enterprise.
In my talk, I will describe a framework to securely operate missions within networks that are imperfect and vulnerable to multiple types of cyber attacks. The key elements of the framework are as follows: First, we introduce the notion of generalized dependency graph which captures how network components, at different levels of abstraction, depend on each other. Second, we extend the classical definition of attack graph to incorporate probabilistic knowledge of the attacker’s behavior. Finally, we introduce the notion of attack scenario graph which integrates dependency and attack graphs.
On Knowledge Discovery and Interactive Intelligent Visualization of Biomedical Data - Challenges in Human–Computer Interaction & Biomedical Informatics
Andreas Holzinger
Medical University Graz
Austria
Brief Bio
Andreas Holzinger is lead of the Holzinger Group (Human-Centered AI) at the Medical University Graz and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute in Edmonton, Canada. Since 2016 he is Visiting Professor for Machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning and Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and a second Ph.D. (Habilitation) in Computer Science from TU Graz in 2003. Andreas Holzinger works on Human-Centered AI (HCAI), motivated by efforts to improve human health. Andreas pioneered in interactive machine learning with the human-in-the-loop. For his achievements, he was elected as a member of Academia Europea in 2019. Andreas is paving the way towards multimodal causability, promoting robust interpretable machine learning, and advocating for a synergistic approach to put the human-in-control of AI and align AI with human values, privacy, security, and safety.
Abstract
Biomedical Informatics can be defined as “the interdisciplinary field that studies and pursues the effective use of biomedical data, information and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health.” However, professionals in the life sciences are faced with an increasing quantity of highly complex, multi-dimensional and weakly structured data. While researchers in Human-Computer Interaction (HCI) and Information Retrieval/Knowledge Discovery in Databases (IR/KDD) have long been independently working to develop methods that can support expert end users to identify, extract and understand information out of this data, it is obvious that an interdisciplinary approach to bring these two fields closer together can yield synergies in the application of these methods to weakly structured complex medical data sets. The aim is to support end users to learn how to interactively analyse information properties and to visualize the most relevant parts – in order to gain knowledge, and finally wisdom, to support a smarter decision making. The danger is not only to get overwhelmed by increasing masses of data, moreover there is the risk of modelling artifacts.
Cyberinfrastructure for eScience and eBusiness from Clouds to Exascale
Geoffrey C. Fox
Indiana University
United States
Brief Bio
Geoffrey Charles Fox (gcf@indiana.edu, http://www.infomall.org, http://www.futuregrid.org)Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center and Associate Dean for Research and Graduate Studies at the School of Informatics and Computing. He previously held positions at Caltech, Syracuse University and Florida State University. He has supervised the PhD of 64 students and published over 600 papers in physics and computer science with an hindex of 61 and over 19500 citations. He currently works in applying computer science to Bioinformatics, Defense, Earthquake and Ice-sheet Science, Particle Physics and Chemical Informatics. He is principal investigator of FutureGrid – a facility to enable development of new approaches to computing. He is involved in several projects to enhance the capabilities of Minority Serving Institutions.
Abstract
We analyze scientific computing into classes of applications and their suitability for different architectures covering both compute and data analysis cases and both high end and long tail (many small) users. We identify where commodity systems (clouds) coming from eBusiness and eCommunity are appropriate and where specialized systems are needed. We cover both compute and data (storage) issues and propose an architecture for next generation Cyberinfrastructure and outline some of the research and education challenges. We discuss FutureGrid project that is a testbed for these ideas.
A Perspective of the Networks of the Future and Smart Cities
Luis M. Correia
IST/IT-Technical University of Lisbon
Portugal
Brief Bio
Luis M. Correia was born in Portugal, on 1958. He received the Ph.D. in Electrical and Computer Engineering from IST (Technical University of Lisbon) in 1991, where he is currently a Professor in Telecommunications, with his work focused in Wireless/Mobile Communications in the areas of propagation, channel characterisation, radio networks, traffic, and applications, with the research activities developed in the INOV-INESC institute. He has acted as a consultant for Portuguese mobile communications operators and the telecommunications regulator, besides other public and private entities. Besides being responsible for research projects at the national level, he has been active in various ones within the European frameworks of RACE, ACTS, IST, ICT and COST (where he also served as evaluator and auditor), having coordinated two COST projects, and taken leadership responsibilities at various levels in many others. He has supervised more than 150 M.Sc. and Ph.D. students, having authored more than 350 papers in international and national journals and conferences, for which he has served also as a reviewer, editor, and board member, and edited 6 books. He was part of the COST Domain Committee on ICT. He was the Chairman of the Technical Programme Committee of several major conferences, and is part of several Steering Boards. He is part of the Expert Advisory Group and of the Steering Board of the European Net!Works platform, and was the Chairman of its Working Group on Applications.
Abstract
A parallel in the evolution between mobile and wireless communications and other areas (computers and cars) will be presented, in an attempt to identify possible directions for systems future evolution. A look into already existing technologies will enable to establish a perspective for future user interface devices and services (e.g., information access, Internet of Things, and geo-location). Then, potential services are identified, after which research challenges for mobile and wireless communications networks are addressed (e.g., network virtualisation, cloud networking, and networks of information). Smart Cities are taken as an integration example, as well as a perspective of application to other key sectors (e.g., health, transport, and energy). The link with other areas, and impact on regulation, standardisation, and policy matters are presented at the end.