MIWAI'2014

MIWAI 2014 Tutorial/Workshop Schedule download here.

Multi-disciplinary International Workshop on Artificial Intelligence(MIWAI-2014) (8th December to 10th December 2014) Venue: Senate Hall, Capitol Hotel, Bangalore, India
8th December 2014
8:30 A.M to 9:30 A.M:	Registration
9:30 A.M to 11:00 A.M:	Tutorial-1 [Part I] Speaker: Dr. Chattrakul Sombattheera, Mahasarakham University, Thailand Title: Introduction to Coalition Formation Chair: TBD
11:00 A.M to 11:30 A.M:	Tea Break
11:30 A.M to 01:00 0P.M:	Tutorial-1 [Part II] Speaker: Dr. Chattrakul Sombattheera, Mahasarakham University, Thailand Title: Introduction to Coalition Formation Chair: TBD
1:00P.M to 2:00 P.M:	Lunch Break
2:00 P.M to 03:30 P.M:	Tutorial-2 [Part I] Speaker: Prof. P. Krishna Reddy, IIIT Hyderabad Title: "Building of eSagu System", an IT-based Personalized Agro-Advisory system. Chair: TBD
03:30 P.M to 04:00 P.M:	Tea Break
04:00 P.M to 05:30 P.M:	Tutorial-2 [Part II] Speaker: Prof. P. Krishna Reddy, IIIT Hyderabad Title: "Building of eSagu System", an IT-based Personalized Agro-Advisory system. Chair: TBD
9th December 2014
8:00 A.M to 9:30 A.M:	Registration
9:30 A.M to 10 A.M:	Inauguration ceremony
10:00 A.M to 11:00 A.M:	Keynote Talk: Prof. C. A. Murthy, ISI Kolkata Title: Face Recognition using Set Estimation Procedure Chair: Prof. Y. Narahari, IISc Bangalore
11:00 A.M to 11:30 A.M:	Tea Break
11:30 A.M to 1:00 P.M:	Technical Session-1: Evolutionary Computing and Others-I Session Chair: TBD "Potential Interval of root" of Nonlinear Equation: Labeling Algorithm; Vijaya Lakshmi V. Nadimpalli, Rajeev Wankar and Raghavendra Rao Chillarige Stochastic Leaky Integrator Model for Interval Timing; Komala Anamalamudi, Bapi Raju Surampudi and Madhavilatha Maganti Multi-Objective Exploration for Compiler Optimizations & Parameters; N A B Sankar Chebolu and Rajeev Wankar
1:00P.M to 2:00 P.M:	Lunch Break
2:00 P.M to 3:00 P.M:	Invited Talk-1: Prof. P. S. Sastry, IISc Bangalore Title: Learning classifiers under label noise Chair: TBD
3:00 P.M to 4:00 P.M:	Technical Session-2: Evolutionary Computing and Others-II Session Chair: TBD Association Rule Mining via Evolutionary Multi-objective Optimization; Ganghishetti Pradeep and Ravi Vadlamani DC charger selection scheme for electric vehicles based on a distance-based heuristic; Junghoon Lee Automated Reasoning in Deontic Logic; Claudia Schon, Ulrich Furbach and Frieder Stolzenburg
4:00 P.M to 4:30 P.M	Tea Break
4:30 P.M to 5:30 P.M:	Technical Session-3: Soft Computing –I Session Chair: TBD Image Processing Tool for FAE Cloud Dynamics; Mousumi Roy, Allam Apparao, Arun Agarwal, Rajeev Wankar and Raghavendra Rao Chillarige N-gram Based Approach for Opinion Mining of Punjabi Text; Amandeep Kaur and Vishal Gupta Application of Game-theoretic Rough Sets in Recommender Systems; Nouman Azam and Jingtao Yao
7:00 P.M to 10:00 P.M:	Cultural Programme and Workshop Banquet Dinner Venue: The Capitol Hotel
10th December 2014
9:00 A.M to 10:00 A.M:	Invited Talk-2: Prof. B. S. Daya Sagar, ISI, Bangalore Title: Greyscale Morphological Interpolations and Morphing Chair: TBD
10:00 A.M to 11:00 A.M:	Technical Session-4: Soft-Computing-II Session Chair: TBD RGB - based Color Texture Image Classification using Anisotropic Diffusion and LDBP; Prakash Hiremath and Rohini Bhusnurmath A Knowledge-based Design for Structural Analysis of Printed Mathematical Expressions; Pavan Kumar P, Arun Agarwal and Chakravarthy Bhagvati A New Preprocessor to Fuzzy c-Means Algorithm; Raveen S, Sai Prasad P.S.V.S and Raghavendra Rao Chillarige
11:00 A.M to 11:30 A.M:	Tea Break
11:30 A.M to 1:00 P.M:	Technical Session-5: DM/ML Session Chair: TBD Domain Specific Sentiment Dictionary for Opinion Mining of Vietnamese Text; Hong Nam Nguyen, Van Le Thanh, Hai Son Le and Vu Pham Tran Support Vector-Quantile Regression Random Forest hybrid for Regression Problems; Ravi Vadlamani and Anurag Sharma Clustering Web Services on Frequent Output Parameters for I/O based Service Search; Lakshmi H N and Hrushikesha Mohanty IntelliNavi : Navigation for Blind based on Kinect and Machine Learning; Alexy Bhowmick, Saurabh Prakash, Rukmani Bhagat, Vijay Prasad and Shyamanta M. Hazarika
1:00 P.M to 2:00 P.M:	Lunch Break
2:00 PM to 3:00 PM:	Invited Talk-3: Dr. Biplav Srivastava, IBM Research, New Delhi Title: Open Innovation - From Government Open Data to Societal Applications that Matter Chair: TBD
3:00 P.M to 4:40 P.M:	Technical Session-6: Web/NW Session Chair: TBD A trust metric for online virtual teams & work groups; Sagar A B and Hrushikesha Mohanty Web Service Composition Using Service Maps; Supriya Vaddi and Hrushikesha Mohanty Integrated Representation of Spatial Topological and Size Relations for the Semantic Web; Sotiris Batsakis, Grigoris Antoniou and Ilias Tachmazidis Using Bayesian Networks to Model and Analysis Software Product Line Feature Model; Musfiqur Rahman and Shamim Ripon A content-based approach for user profile modeling and matching on social network; Van Le Thanh, Nghia Truong Trong and Vu Pham Tran
4:40 P.M to 5:00 P.M:	Tea Break
5:00 P.M to 5:30 P.M:	Valedictory

[View all speakers details]

Prof. C. A. Murthy (Keynote Speaker)

Prof. C. A. Murthy Machine Intelligence Unitarianize Indian Statistical Institute 203 Barrackpore Trunk Road Kolkata - 700 108 India Email: murthy@isical.ac.in http://www.isical.ac.in/~murthy/ More...

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Prof. P. S. Sastry (Invited Speaker)

Prof. P. S. Sastry Room No 235 Department of Electrical Engineering Indian Institute of Science Bangalore-560012 India Email: sastry@ee.iisc.ernet.in http://minchu.ee.iisc.ernet.in/new/people/faculty/pss/ More...

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Dr. B. S. Daya Sagar (Invited Speaker)

Dr. B. S. Daya Sagar Associate Professor & Head Systems Science and Informatics Unit (SSIU) Indian Statistical Institute--Bangalore Centre 8th Mile, Mysore Road, R. V. College P.O Bangalore-560059 India Email: bsdsagar@isibang.ac.in http://www.isibang.ac.in/~bsdsagar/ More...

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Dr. Biplav Srivastava (Invited Speaker)

Dr. Biplav Srivastava Senior Researcher, IBM Master Inventor IBM Research, ISID Campus, Plot No. 4, Block C, Institutional Area, Vasant Kunj New Delhi - 110 070 India Email: sbiplav@in.ibm.com http://www.research.ibm.com/people/b/biplav/ More...

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Dr. P. Krishna Reddy (Tutorial Speaker)

Dr P.Krishna Reddy Program Director, ITRA Agriculture & Food, DietY, Govt. of India and Professor International Institute of Information Technology Hyderabad (IIIT-H) Gachibowli, Hyderabad, Telangana State 500032 India E-mail: pkreddy@iiit.ac.in http://www.iiit.ac.in/~pkreddy/ More...

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Brief Biography: Professor P. Krishna Reddy is at Center for Data Engineering, International Institute of Information Technology Hyderabad (IIIT-H), Hyderabad, India, since 2007. Since November 2013, he is also serving as a Program Director, ITRA-Agriculture & Food, Information Technology Research Academy (ITRA), Division of Media Lab Asia, Ministry of Communications & IT, Government of India. He has worked as an associate professor at the same university from 2002 to 2006. From 1997 to 2002, he was a research associate at the Center for Conceptual Information Processing Research, Institute of Industrial Science, University of Tokyo. From 1994 to 1996, he worked as a faculty member at the Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi. During the summer of 2003, he was a visiting researcher at Institute for Software Research International, School of Computer Science, Carnegie Mellon University, Pittsburg, USA. He has received both MTech and PhD degrees in computer science from Jawaharlal Nehru University, New Delhi in 1991 and 1994, respectively. His research interests include data mining, web mining, data management, transaction models, distributed computing, and ICTs for agriculture. He has published about 100 refereed research papers which include 14 journal papers and three book chapters. He has delivered several invited/panel talks at the reputed conferences and workshops in India and abroad. He was a proceedings chair of COMAD 2008 and a workshop chair of KDRS 2010. He has organized the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2010) in Hyderabad, India. He has got several awards and recognitions. He is a steering committee member of pacific-asia data mining conference series since 2010. Since 2004, he has been investigating the building of eSagu system, which is an IT-based Personalized Agro-Advisory system, to provide scientific agricultural information to farming community. The eSagu system has got several recognitions including CSI-Nihilent e-Governance Project Award in 2006 and Manthan Award in 2008. In addition to eSagu system, since 2010, he is investigating the building of eAgromet system which is an ICT-based agro-meteorological advisory system to provide risk mitigation information to farmers with the funding support from Indian Meteorological Department, Ministry of Earth Sciences.

Title: Building Information/Knowledge Based Decision Support Systems for Better Agriculture.

Abstract: The eSagu system is a personalized agro-advisory system. In eSagu, the expert advice is generated by agricultural experts based on the latest information about the crop situation received in the form of both digital photographs and corresponding feedback text. Several impact studies reported that the farmers have realized considerable monetary benefits by reducing the quantity of fertilizer application, pesticide sprays, besides getting the additional yield. By considering village as a unit, we have developed a scalable and cost-effective system which can deliver location-specific agricultural advices in a regular manner throughout the year. The technology can bring next agriculture revolution as it aims to help every farmer of India, including poor and marginal farmers.

The eAgromet system is an IT-based agro-meteorological advisory system. The India Meteorological Department is disseminating agromet advisory bulletins, which contain possible weather related risk mitigation measures, to farmers and other stakeholders through about 130 Agro Meteorological Field Units (AMFUs). We are building an eAgromet system to improve the efficiency of preparing agromet advisory bulletins. The system is built and it is operational.

The notion of virtual crop labs is conceptualized to improve practical field skills of agriculture students/scientists. It can be noted that the crop husbandry problems vary from year to year and place to place due to temporal and spatial variability of the region/country. In spite of significant efforts, there is a feeling that the level of practical skills exposed to the students is not up to the desired level. The practical knowledge of students could be improved, if we systematically expose them to virtual crop lab content with well organized, indexed and summarized digital data (text, digital photos and video) of diverse farm situations along with course teaching.

With the preceding background, I am planning to offer a tutorial to excite the participants to conceive data/knowledge based decision support systems for better agriculture. The outline of the tutorial is as follows: Introduction and background, Problems in agriculture, opportunities provided by the advances in data and knowledge sciences, Case studies of eSagu, eAgromet and Virtual Crop Labs, Data and knowledge based systems in India and abroad, Opportunities to build data and knowledge based decision support systems in agriculture.

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Dr. Chattrakul Sombattheera (Tutorial Speaker)

Dr. Chattrakul Sombattheera Faculty of Informatics Mahasarakham University Khamreang Sub-District Kantarawichai District Maha Sarakham 44150 Thailand Email: chattrakul.s@msu.ac.th More...