Home

Call for Papers

Paper Submission

Dates & Deadlines

Keynote Speakers

Proceedings

Committee

Registration

Accommodation

Contacts
Keynote Speakers

Prof. Sankar Pal

Prof. Sabah Mohammed Prof. Jinan Fiaidhi




Prof. Sankar K. Pal,
Indian Statistical Institute, Kolkata, India
 

 

About Dr. Sankar K. Pal

Sankar K. Pal (www.isical.ac.in/~sankar) is a Distinguished Scientist of the Indian Statistical Institute and a former Director. Currently, he is also a J.C. Bose Fellow of the Govt. of India. He founded the Machine Intelligence Unit and the Center for Soft Computing Research: A National Facility in the Institute in Calcutta. He received a Ph.D. in Radio Physics and Electronics from the University of Calcutta in 1979 (Work carried out at Indian Statistical Institute, Calcutta), and another Ph.D. in Electrical Engineering along with DIC from Imperial College, University of London in 1982. He joined his Institute in 1975 as a CSIR Senior Research Fellow where he became a Full Professor in 1987, Distinguished Scientist in 1998 and the Director for the term 2005-10.

He worked at the University of California, Berkeley and the University of Maryland, College Park in 1986-87; the NASA Johnson Space Center, Houston, Texas in 1990-92 & 1994; and in US Naval Research Laboratory, Washington DC in 2004. Since 1997 he has been serving as a Distinguished Visitor of IEEE Computer Society (USA) for the Asia-Pacific Region, and held several visiting positions in Italy, Poland, Hong Kong and Australian universities.

Prof. Pal is a Fellow of the IEEE, USA, the Academy of Sciences for the Developing World (TWAS), Italy, International Association for Pattern recognition, USA, International Association of Fuzzy Systems, USA, and all the four National Academies for Science/Engineering in India. He is a co-author of fifteen books and more than three hundred research publications in the areas of Pattern Recognition and Machine Learning, Image Processing, Data Mining and Web Intelligence, Soft Computing, Neural Nets, Genetic Algorithms, Fuzzy Sets, Rough Sets and Bioinformatics.

He has received the 1990 S.S. Bhatnagar Prize (which is the most coveted award for a scientist in India), and many prestigious awards in India and abroad including the 1999 G.D. Birla Award, 1998 Om Bhasin Award, 1993 Jawaharlal Nehru Fellowship, 2000 Khwarizmi International Award from the Islamic Republic of Iran, 2000-2001 FICCI Award, 1993 Vikram Sarabhai Research Award, 1993 NASA Tech Brief Award (USA), 1994 IEEE Trans. Neural Networks Outstanding Paper Award (USA), 1995 NASA Patent Application Award (USA), 1997 IETE-R.L. Wadhwa Gold Medal, the 2001 INSA-S.H. Zaheer Medal, 2005-06 Indian Science Congress-P.C. Mahalanobis Birth Centenary Award (Gold Medal) for Lifetime Achievement, 2007 J.C. Bose Fellowship of the Government of India and 2008 Vigyan Ratna Award from Science & Culture Organization, West Bengal.

Prof. Pal is/ was an Associate Editor of IEEE Trans. Pattern Analysis and Machine Intelligence (2002-06), IEEE Trans. Neural Networks [1994-98 & 2003-06], Neurocomputing (1995-2005), Pattern Recognition Letters (1993-2011), Int. J. Pattern Recognition & Artificial Intelligence, Applied Intelligence, Information Sciences, Fuzzy Sets and Systems, Fundamenta Informaticae, LNCS Trans. On Rough Sets, Int. J. Computational Intelligence and Applications, IET Image Processing, J. Intelligent Information Systems, and Proc. INSA-A; Editor-in-Chief, Int. J. Signal Processing, Image Processing and Pattern Recognition; a Book Series Editor, Frontiers in Artificial Intelligence and Applications, IOS Press, and Statistical Science and Interdisciplinary Research, World Scientific; a Member, Executive Advisory Editorial Board, IEEE Trans. Fuzzy Systems, Int. Journal on Image and Graphics, and Int. Journal of Approximate Reasoning; and a Guest Editor of IEEE Computer.

  

Prof. Sabah Mohammed, PhD, MBCS, ISP, IEEE Senior Member, PEng
Department of Computer Science
Lakehead University
Ontario-Canada

zAnalyzing Clinical Narratives Using Big Data and NLP Technologies
There is a growing demand to extract structured, "actionable" information from unstructured (narrative) medical documents.Today most of the clinical systems uses some sort of web and cloud storage. The cloud-based service provides a strong infrastructure for functions such as clinical analytics, reporting compliance, electronic health record (EHR) integration, revenue cycle management (RCM), transcription, and data interoperability. However, most of EHR systems involve clinical narratives that include important clinical data. The use of the new techniques in Natural Language Processing enables many applications that use EHRs to capture, encode and use clinical data, enabling dynamic, rapidly built and easy-to-maintain “Big Data” solutions. This presentation provide outline on these important initiatives used for analyzing clinical narratives.
About Dr. S. Mohammed

Dr. Sabah Mohammed started his career during 1977 as a Multimedia Maintenance Engineer working for Canon and Sony following his hobby in Electronics, although he completed his bachelor degree in Mathematics (HBSc 1977). From July 1979 he started his graduate studies where he received his degrees in Computer Science from Glasgow University-UK (PgD 1980, MPhil 1981) and from Brunel University-UK (PhD 1986). Since late 2001, Dr. Mohammed is a full Professor of Computer Science at Lakehead University. Formerly, from 1986-1995, Dr. Mohammed was an Assistant/Associate Professor of Computer Science at various universities including (BU, Amman University, Philadelphia University, Applied Science University and HCT). Sabah is interested in intelligent systems that have to operate in large, nondeterministic, cooperative, survivable, adaptive or partially known domains. Although his research is inspired by his PhD work on the employment of some Brain Activity-Structures based techniques for decision making (planning and learning) that enable processes (e.g. agents, mobile objects) and collaborative processes to act intelligently in their environments to timely achieve the required goals, Sabah extended his research vision to include constructivism and focus more on the nature of knowledge. Since knowledge is created by people and influenced by their values and culture, Sabah research stated to shift more towards net centric systems (e.g. Cloud Computing, Social Networking and Enterprise Systems, Web-Based Systems). During the last nine years, Sabah research is focused on developing ubiquitous healthcare systems that enable sharing securely knowledge and data in an effective way. In particular sharing Electronic Health Record (EHRs) over the Web is one of the very challenging problems that Sabah tries to solve. Sabah believes that finding good solutions for sharing EHRs requires approaches that cut across many different fields (e.g. Semantic Web, Web 2.0, Web 3.0, Ubiquitous Computing, Medical Informatics, XML Security and Artificial Intelligence).. He published several research articles in an attempt to promote EHRs interoperability and sharing. Recently he edited and authored a notable book on “Ubiquitous Health and Medical Informatics: The Ubiquity 2.0 and Beyond” by IGI Global that will be published during April 2010. Dr. Mohammed professional career includes many achievements. He is the Editor-in-Chief of three international journals (International Journal of Big Data Technologies (IBDT), International Journal of Education and Learning (IJEL), International Journal of Multimedia & Ubiquitous Engineering (IJMUE)). He was a Visiting Scholar at the Math and Computer Science, Laurentian University-Canada. Also he is a Professional Software Engineer of Ontario (P.Eng.) and Canada Information Processing Professional (ISP). Dr. Mohammed is an active member of Canada’s e-Health Interoperability group (http://www.simbioses.ca/ehealth/) and the coordinator on Northern Ontario Web Intelligence Research Group (NOWI http://www2.cs.uregina.ca/~wi/). Besides being an active member of the Department of Computer Science at Lakehead University, Dr. Mohammed is among the core faculty members of both the Lakehead University Bioinformatics and BioTechnology programs. Moreover, Dr. Mohammed is an Adjunct Research Professor with the University of Western Ontario. Moreover, Dr. Mohammed is a core faculty member of the BioTechnology PhD program at Lakehead University. Dr Mohammed teaching involves many important courses in Computer Science including: Mobile Programming, Game Programming, Artificial Intelligence, Programming Languages and Health Informatics. During 2006, Dr. Mohammed was the recipient of the Contribution to Teaching Award. Dr. Mohammed has also some notable administrative services as he chaired three Computer Science and Information Systems departments including (Philadelphia University-Jordan (1995-1997), Applied Science University-Jordan (1997-2000), HCT-Sultanate of Oman (2000-2001)). Dr. Mohammed published more than 90 refereed articles, chapters in books and four textbooks. He supervised more than 40 Masters and PhD students. More on Dr. Mohammed career and publications can be found at his webpage (http://flash.kakeheadu.ca/~mohammed).


Prof. Jinan Fiaidhi, PhD, MBCS, ISP, IEEE Senior Member, PEng
Department of Computer Science
Lakehead University
Ontario-Canada
Research Trends on Learning Analytics

Learning analytics is an emergent field of research that aspires to use data analysis to inform decisions made on every tier of the educational system. This field enables deciphering trends and patterns from educational big data, or huge sets of student-related data, to further the advancement of personalized, supportive higher education applications. Learning Analytics as a term has been significantly popularized by the EDUCAUSE International Conferences on Learning Analytics and Knowledge (LAK), where its first conference (LAK11 ) was in February 27-March 1, 2011 in Banff, Alberta. LA is the third wave of developments in instructional technology that began with the advent of the learning management system (LMS) during 1991. The second wave was on the LMS integration with the enterprise (also known as Web 2.0 wave). LA provides the capability of collecting and analyzing data from a variety of sources in the enterprise to provide information on what works and what does not with respect to teaching and learning. Thus enabling educational institutions to improve the quality of learning and the overall competitiveness. This invited speech presents trends in LA and my work on adding textual analysis to the traditional Web Based LA technologies.

About Prof. Jinan Fiaidhi

Dr. Jinan Fiaidhi is a full Professor and the Graduate Coordinator with the Department of Computer Science, Lakehead University, Ontario, Canada since late 2001. She is also an Adjunct Research Professor with the University of Western Ontario. She received her graduate degrees in Computer Science from Essex University (PgD 1983) and Brunel University (PhD, 1986).
During the period (1986-2001), Dr. Fiaidhi served at many academic positions (e.g. University of Technology (Asso. Prof and Chairperson), Philadelphia University (Asso. Prof), Applied Science University (Professor), Sultan Qaboos University (Asso. Prof.). Dr. Fiaidhi research is focused on mobile and ubiquitous learning utilizing the emerging technologies (e.g. Cloud Computing, Calm Computing, Mobile Learning, Personal Learning Environment, Social Networking, Enterprise Mashups, Big Data and Semantic Web). Dr. Fiaidhi research is supported by the major research granting associations in Canada (e.g. NSERC, CFI). Dr. Fiaidhi is a Professional Software Engineer of Ontario (PEng), Senior Member of IEEE, member of the British Computer Society (MBCS) and member of the Canadian Information Society (CIPS) holding the designate of ISP. Dr. Fiaidhi has intensive editorial experience (e.g. Editor-in-Chief of the International Journal of Software Engineering and Its Applications (IJSEIA), Editor in Chief for International Journal of Cloud-Computing and Super-Computing (IJCS), Editor of IEEE IT-Pro, Associate EiC of the Journal of Emerging Technologies in Web Intelligence). More information on her publications and news can be found at her Web page: http://flash.lakeheadu.ca/~jfiaidhi



 

 

 



 

 
 

  

..,
..

..

..

  About ..
..

  

..,
..

..

..

    About ..
..

  

..,
..

..

..

    About ..
..

  

..,
..

..

..

    About ..
..
 
Copyright © 2013-2014 SERSC all rights reserved