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. 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.

 

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. 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.

 

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. Dr. Jajodia 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. Dr. Jajodia 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. The URL for his web page is http://csis.gmu.edu/jajodia.

Abstract
Available soon.

 

Andreas Holzinger Medical University Graz Austria

Brief Bio
Andreas Holzinger is head of the Research Unit Human–Computer Interaction, Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Associate Professor of Applied Informatics at the Faculty of Computer Science, Institute of Informationsystems and Computer Media and Lecturer at the Faculty of Electrical and Information Engineering, Insitute of Genomics and Bioinformatics at Graz University of Technology. He is chair of the Workgroup Human–Computer Interaction and Usability Engineering (HCI&UE) of the Austrian Computer Society, and founder and leader of the Special Interest Group HCI4MED. Since November 2009 he is Austrian Representative in the International Federation of Information Processing (IFIP), Technical Committee TC 13 Human-Computer Interaction. He serves as consultant for the Austrian, German and Dutch Government and for the German Excellence Initiative and as national expert in the European Commission (Lisbon Delegate 2000). Andreas, born 1963, started as an apprentice in Information Technology in 1978; while working as an industrial engineer, he resumed a parallel second-chance education, finished his PhD in cognitive science in 1997 and completed his second doctorate (habilitation) in applied informatics in 2003. Since 1999 participation in leading positions in 29 R&D multi-national projects, budget 2,8 MEUR; to date 314 publications, 2029 citations; h-index = 23, g-Index = 41; Andreas was Visiting Professor in Berlin, Innsbruck, London, Vienna and Aachen. His research field is in Computing and Information Sciences with application in Life and Medical Sciences and emphasis on Knowledge Management, Multimedia Information Systems, Human-Computer Interaction, Knowledge Discovery/Information Retrieval and Usability Engineering. Homepage: http://www.hci4all.at; Current main lecture: http://genome.tugraz.at/medical_informatics.shtml

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.

 

Geoffrey Charles Fox Indiana University United States

Brief Bio
Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now 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 Ph.D. of 61 students and published over 600 papers in physics and computer science. 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 new facility to enable development of new approaches to computing. He is involved in several projects to enhance the capabilities of Minority Serving Institutions.

Abstract
Available soon.

 

Geoffrey Charles Fox Indiana University United States

Brief Bio
Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now 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 Ph.D. of 61 students and published over 600 papers in physics and computer science. 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 new facility to enable development of new approaches to computing. He is involved in several projects to enhance the capabilities of Minority Serving Institutions.

Abstract
Available soon.

 

Geoffrey Charles Fox Indiana University United States

Brief Bio
Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now 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 Ph.D. of 61 students and published over 600 papers in physics and computer science. 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 new facility to enable development of new approaches to computing. He is involved in several projects to enhance the capabilities of Minority Serving Institutions.

Abstract
Available soon.