Abstract: In today complex computational environment and demanded IT responses, single based methodologies will not offer robust and wide range solutions. Thus, this talk will address how Synergies of AI and Knowledge Engineering Methodologies may offer better solutions to some of these major problems in Healthcare & Biomedicine.
Profile: Dr. Nikolaos Bourbakis (IEEE Fellow-‐1996) currently is a Distinguished Professor of Information & Technology and the Director of the Center of Assistive Research Technologies (CART) at Wright State University, OH. He is the founder and the EIC of the Int. Journal on AI Tools and the Int. Journal on Monitoring and Surveillance Tech Research (IGI Global), the Founder and General Chair of several International IEEE Computer Society Conferences, Symposia and Workshops.
He pursues research in Assistive Technologies, Applied AI,
Bioengineering, Information Security, and Parallel/Distributed
Processing funded by USA andEuropean government and industry. He
has extensively published in IEEE and International Journals and
graduated several dozens of PhD students. His research work
has been internationally recognized and won several prestigious awards. Some of them are: IEEE Computer Society Technical
Research Achievement Award 1998; ASC Outstanding Scientists &
Engineers Research Award-‐2005; Dr. F. Russ IEEE Biomedical
Engineering award, Dayton Ohio, 2010; Most Cited Article in
Pattern Recognition Journal, 2006-‐2010; IEEE ICTAI CV
Ramamoorthy best paper Award 2012 & 2015; Recognition Award for
his Outstanding Scholarly Achievements and Contributions in the
field of Computer Science, UNIPI-‐GR, 2013; IEEE EMBS-‐GR
Award of Achievements, 2013; IEEE Computer Society 28 years
ICTAI Outstanding Service & Leadership Recognition, 2016 and others.
Abstract: Computing continues to change the landscape of nearly all domains, medicine included. For instance, drug resistance is predicted and avoided via data mining applications; radiological reading errors are detected and prevented via natural language processing; and disease outbreak is detected early via text mining techniques. These are but just some examples where computer intelligence is reshaping medical practice. Specifically, we describe the monitoring of social media to detect disease outbreak and describe the implications of such surveillance schemes to healthcare planning for a major children-focused hospital. We continue by describing how conventional mining approaches significantly improve urinary tract infection treatment plans as developed jointly with and for another major hospital. Finally, we describe automated means for the detection of differences in radiological readings and describe how such detection schemes are used in yet a third major hospital.
Profile: Ophir Frieder holds the Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair in Computer Science and Information Processing and previously served as the Chair of the Department of Computer Science at Georgetown University. He is also Professor of Biostatistics, Bioinformatics and Biomathematics in the Georgetown University Medical Center. In addition to his academic positions, he is the Chief Scientific Officer for UMBRA Health Corp.(UHC) and a Research Associate at the Institute of Information Science and Technology at the Italian National Research Council (ISTI-CNR). He is a Fellow of the AAAS, ACM, IEEE, and NAI, and a Member of the European Academy of Sciences and Arts.
Abstract: The size of the global fashion market is estimated to reach $3 Trillion in 2018. This is larger than the automotive market and almost 7 times larger than the semi-conductor market. Despite its scope and glamourous contents, the industry has been relatively low tech (in terms of IT) and slow to move online. The nuances of style and finely segmented products make keyword-oriented search inadequate resulting in ineffective and often inaccurate recommendations. In response to such shortcomings, many attempts are being made to integrate big data analytics and social recommendations into fashion e-commerce. Further, there has been a steady increase in applications of deep learning oriented visual intelligence for a more refined search and user experience. In this talk, I will review some of the recent efforts in the field and introduce my team’s current research activities in vectorising visual style features of fashion items.
Profile: Sang-goo Lee is a professor of Computer Science & Engineering at Seoul National University (SNU), Seoul, Korea. His research interests are in context-aware personalization, natural language processing, and application of A.I. to business problems. The Korean language parser KKMA, which he developed with his students, is one of the most widely used parser in the country. He is the CEO/CTO of IntelliSys, an AI startup he founded in 2017 specializing in fashion search and recommendation.
Profile: Carlo Zaniolo was born in Vicenza, Italy. He received an E.E. Engineer degree at Padua University in 1968, and M.S. and Ph.D. degrees in Computer Science at UCLA in 1970 and 1976, respectively. After working at Bell Laboratories, Murray Hill, NJ, and MCC in Austin Texas, Dr. Zaniolo joined the UCLA CS Department in 1991, and was awarded the N.E. Friedmann Chair in Knowledge Science. Dr. Zaniolo’s interests include big data and knowledge based systems, non-monotonic and temporal reasoning, internet information systems, answering questions, queries and searches in knowledge bases.</b>
Professor of Electrical Engineering, College of Engineering, January, 2008- date Visiting Professor at the University of Texas, Arlington, Summer, 2008 Founding Dean of the new College of Engineering, University of North Texas, Denton, TX, July 2003 – 2008.
NCR Endowed Distinguished Professor and Chair, Department of Computer Science and Engineering, College of Engineering and Computer Science, Wright State University (WSU), Dayton, OH, January 1995 – June 2003.
Interim Director, Information Technology Research Institute, Wright State University, College of Engineering, (while NCR Distinguished Professor and Chair of CSE), July 1, 2000 – February 1, 2001.
Doctoral Program Director for Computer Science and Engineering and a member of the Graduate Council (1996-1997) at Wright State University.
Program Director for Interactive Systems in the Information, Robotics, and Intelligent Systems Division of the CISE Directorate at the National Science Foundation (NSF), while on IPA leave from George Washington University (GWU), September 1992 – December 1995.
Professor, Department of Electrical Engineering and Computer Science, September 1985 – May 1995 (on leave while IPA at NSF and at WSU for the last 3-year period), The George Washington University, School of Engineering and Applied Science, Washington, DC.
Visiting Professor (on sabbatical from GWU) at the University of Maryland Institute for Advanced Computer Studies (UMIACS) at the Center for Automation and Robotics from July 1988 – June 1989.
Charter Chairman, Department of Computer Science and Engineering (a newly formed department), University of South Florida, February 1979 – August 1985. Program Director (IPA), responsible for Instructional Scientific Equipment (ISE) and Local Course Improvement (LOCI) Programs, Science Education Directorate, National Science Foundation, September 1977 – June 1978 while on leave from the University of South Florida.
Professorial Lecturer (part-time, while full time Program Director at NSF’s Education and Human Resources Directorate), Department of Electrical Engineering, The George Washington University, Washington, DC, January 1978.
Professor, University of South Florida, September 1975 – August 1985.
Assistant Chairman, Department of Electrical Engineering, University of South Florida, in charge of BS, MS, and Ph.D. programs in the Computer Science option of an Engineering Science degree, December 1974 – February 1979.
Associate Professor, University of South Florida, Department of Electrical Engineering, June 1970 – June 1975.
Associate Professor, Old Dominion University, Department of Electrical Engineering, September 1969 – July 1970.
Research Assistant and Instructor, University of Maryland, Department of Electrical Engineering, September 1966 – September 1969. PhD awarded in EE in 1969.
Assistant Professor, Old Dominion University, Department of Electrical Engineering, September 1963 – September 1966.