HYBRIDIZATION WITH ROUGH SETS: APPLICATION TO BIOINFORMATICS AND BIOMEDICAL IMAGERY

Prelegent(ci)

Sushmita Mitra - IEEE-CIS Distinguished Lecturer

Afiliacja

Machine Intelligence Unit, Indian Statistical Institute

Termin

10 października 2014 14:15

Pokój

p. 2180

Seminarium

Seminarium badawcze Zakładu Logiki: Wnioskowania aproksymacyjne w eksploracji danych

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Polska Sekcja IEEE Computational Intelligence Society
oraz Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego
mają przyjemność zaprosić na wykład 10 października (piątek),

godz. 14:15, s. 2180 (1 piętro), Banacha 2, MIMUW

HYBRIDIZATION WITH ROUGH SETS:

APPLICATION TO BIOINFORMATICS AND BIOMEDICAL IMAGERY

Professor Sushmita Mitra

Machine Intelligence Unit, Indian Statistical Institute
IEEE-CIS Distinguished Lecturer

Abstract: Rough set theory is an established tool for dealing with imprecision, noise, and uncertainty in data. It provides an important and mathematically established tool for dimensionality reduction in large data. A lot of research has been undertaken, over the last decade, for integrating rough sets into the broader framework of computational intelligence. In this talk we provide an overview of such hybridization, along with some applications. We begin with a brief introduction to rough sets, followed by some of their hybridization with fuzzy sets and genetic algorithms, in tasks involving dimensionality reduction and clustering. Experimental results demonstrate their effectiveness in diverse domains like microarray gene expressions, face recognition, and CT scan images.

 

Sushmita Mitra is a full Professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata. She was the Head of MIU during the period 2010 to 2012. From 1992 to 1994 she was in the RWTH, Aachen, Germany as a DAAD Fellow. She was a Visiting Professor in the Computer Science Departments of the University of Alberta, Edmonton, Canada in 2004, 2007; Meiji University, Japan in 1999, 2004, 2005, 2007; and Aalborg University Esbjerg, Denmark in 2002, 2003. Dr. Mitra received the National Talent Search Scholarship (1978-1983) from NCERT, India, the University Gold Medal in 1988, the IEEE TNN Outstanding Paper Award in 1994 for her pioneering work in neuro-fuzzy computing, and the CIMPA-INRIA-UNESCO Fellowship in 1996. She is an IEEE CIS Distinguished Lecturer for the period 2014-2016.

              She is the author of the books Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing and Data Mining: Multimedia, Soft Computing, and Bioinformatics (John Wiley), and Introduction to Machine Learning and Bioinformatics (Chapman & Hall/CRC Press), beside a host of other edited books. Dr. Mitra has guest edited special issues of several journals, is an Associate Editor of IEEE/ACM Trans. on Computational Biology and Bioinformatics, Information Sciences, Neurocomputing, and is a Founding Associate Editor of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIRE DMKD). She has more than 75 research publications in referred international journals. According to the Science Citation Index (SCI), two of her papers have been ranked 3rd and 15th in the list of Top-cited papers in Engineering Science from India during 1992-2001.

              Dr. Mitra is a Fellow of the IEEE, and Fellow of the Indian National Academy of Engineering and The National Academy of Sciences, India. She is an IEEE CIS Distinguished Lecturer for the period 2014-2016. She has served in the capacity of Program Chair, Tutorial Chair, Plenary Speaker, and as PC member of many international conferences. Her current research interests include data mining, pattern recognition, soft computing, image processing, and Bioinformatics.

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