Preconference tutorial will be held on November 15, 2015 having three tutorial sessions. Registration for attending tutorial does not need any fees. Each registered participant of the conference will have free access to the tutorial sessions. There is also a provision for FREE "Tutorials only" registration for candidates not registered for the conference. The seats are limited for tutorial. Therefore, each "Tutorials only" participant is requested to send an application to ficta2015@gmail.com. Please Use "Application for Tutorial in FICTA 2015" in the subject field of the mail. In that mail, the applicants need to justify briefly why they want to attend the tutorials and how they will be benefited from that tutorial. Kindly mention your contact number, e-mail, and affiliation in the application mail. The deadline for the application is October 15, 2015. Selected candidates will be informed either via e-mail or we will upload a list of the selected candidates in the website of FICTA 2015. The registered candidates of the conference only need to send a mail informing their willingness to attend the tutorial on or before October 15, 2015. NO LATE REQUEST WILL BE ENTERTAINED.

Last Date of Application: October 15, 2015.
Date of Tutorial: November 15, 2015
Venue of the Tutorial: Peerless Sarovar Portico, Durgapur

Experts of the tutorial seassions

Prof. C. A. Murthy

Professor, Machine Intelligence Unit Indian Statistical Institute, India

Title: Principles of Pattern Recognition

It will cover Basic principles of Pattern Recognition, mainly Classification and Clustering.

Biography. Prof. C. A. Murthy obtained B. Stat (Hons), M. Stat. and Ph. D. degrees from the Indian Statistical Institute (ISI). He visited the Michigan State University, East Lansing in 1991-92 for six months, and the Pennsylvania State University, University Park for 18 months in 1996 - 97. He is a Professor in the Machine Intelligence Unit of ISI. His fields of research interest include Pattern Recognition, Image Processing, Machine Learning, Neural Networks, Fractals, Genetic Algorithms, Wavelets and Data Mining. He received the best paper award in 1996 in Computer Science from the Institute of Engineers, India. He received the Vasvik award along with his two colleagues for Electronic Sciences and Technology for the year 1999. He is a fellow of the National Academy of Engineering, India and National Academy of Sciences, India. He was the head of the Machine Intelligence Unit, ISI from 2005 to 2010.He is presently the Professor In-charge of the Computer and Communication Sciences Division of ISI.

Prof. Dominik Slezak

Associate Professor, Institute of Mathematics, University of Warsaw, Poland

Chief Scientist, Infobright Inc., Poland/Canada

Tentative Title: Rough Sets and Feature Selection

Biography. Dominik Slezak received Ph.D. in 2002 from University of Warsaw and D.Sc. in 2011 from Polish Academy of Sciences. In 2005 he co-founded Infobright, where he holds position of chief scientist. He is also associate professor at University of Warsaw. He delivered invited talks at over 20 international conferences. In 2014 he served as general program chair of IEEE/WIC/ACM Web Intelligence Congress. In 2012- 2014 he served as president of International Rough Set Society. He is co-author of 150 papers and co-inventor in 5 granted US patents.

* Partially supported by Polish National Science Centre grants DEC-2012/05/B/ST6/03215 and DEC-2013/09/B/ST6/01568, and by Polish National Centre for Research and Development grants PBS2/B9/20/2013 and O ROB/0010/03/001.

Prof. Laxmidhar Behera

Professor, Department of Electrical Engineering, IIT Kanpur, India

Title: Learning to Control Visually Guided Robotic Systems

Biography. Prof. L. Behera obtained B.Sc, M.Sc in Electrical Engineering from Regional Engineering College, Rourkela in 1988 and 1990 respectively. He received Ph.D. from Indian Institute of Technology, Delhi, India, 1996. He did his Post-Doctoral Studies in German National Center For Information Technology, GMD, Germany, 2000-2001. He is working as a Professor in Electrical Engineering at Indian Institute of Technology, Kanpur. His areas of research are Nonlinear Control, Quantum Learning Systems, Soft Computing, Cognitive modelling, Assistive Robotics.

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