Dr. Sriparna Saha
Dr. Sriparna Saha
Asst. Professor
Ph.D, Indian Statistical Institute, Kolkata
Ph: +91-612-255 2128
Fax: +91-612-227 7383
sriparna[*AT]iitp.ac.in
Research Areas : Pattern Recognition, Evolutionary Computation, Multiobjective Optimization
Workshop : 1st International Workshop on Optimization Techniques for Human Language Technology (Click here)
No. of PhD Students :

Abhay Kr. Alok

Sudipta Acharya
Professional Experience :
  • Postdoctoral Research Fellow, University of Trento, Italy (September 2010-January 2011)
  • Postdoctoral Research Fellow, Heidelberg University, Germany (September 2009-June, 2010)
Awards & Honours :
  • Recipient of "Google India Women in Engineering Award, 2008".
  • Name is included in 2009 Edition of Who's Who in the World.
  • ISIAA Rashi Ray Memorial Medal from Indian Statistical Institute, Kolkata, India, for being adjudged the First Class First in M. Tech Examination in Computer Science in the year 2005.
  • Received India4EU fellowship of the European Union to work as a Post-doctoral Research Fellow in the University of Trento, Italy.
  • Received Erasmus Mundus Mobility with Asia (EMMA) fellowship of the European Unionto work as a Post-doctoral Research Fellow in the Heidelberg University, Germany.
  • Recipient of IAPR travel grant and Google fellowship to attend ICPR 2008, held at Tampa, Florida during December 8-11, 2008.
Member of Professional bodies : ACEEE
Text and Reference books authored : S. Bandyopadhyay and S. Saha, "Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications" (authored book accepted for publication by Springer).
Member, Editorial Board :
  • Program Committee Member, 6th International Conference on Information Technology, CIT 2006, held at Bhubaneswar, December, 2006
  • Program Committee Member, 7th International Conference on Information Technology, CIT 2007, held at Rourkela, 17-20 December, 2007
  • Program Committee Member, Second International Conference on Pattern Recognition and Machine Intelligence (PReMI'07) held at Kolkata, 18-22 December, 2007
  • Program Committee Member, 4th International Symposium on Visual Computing held at Las Vegas, Nevada, USA during December 1-3, 2008.
  • Program Committee Member, IEEE Colloquium and the third IEEE International Conference on Industrial and Information Systems (ICIIS 2008) held at Indian Institute of Technology, Kharagpur, India during 08--10 December, 2008.
  • Program Committee Member, 22nd International Conference on VLSI Design (8th International Conference on Embedded Systems), held at New Delhi, India during January 5-9, 2009.
  • Program Committee Member, 2009 International Conference on Intelligent Computing (ICIC 2009) held during September 16-19, 2009 in Ulsan, Korea.
  • Reviewer, Sixth International Conference on Evolutionary Multi-Criterion Optimization (EMO 2011), to be held at Brazil during April 5-8, 2011.
Softwares :
  • Named Entity Recognition and Classification in Biomedical Text Using Classifier Ensemble. (Download)
  • Single and Multiobjective Feature and Parameter Selection Techniques for Mention Detection and Classification in Bio-Chemical Domain (Download)
Publications : Journal Publications:
  • S. Bandyopadhyay, S. Saha, U. Maulik and K. Deb, "A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA", IEEE Transaction on Evolutionary Computation, Volume 12, Issue 3, Pages 269-283, JUNE 2008.
  • S. Saha and S. Bandyopadhyay, "Application of a New Symmetry Based Cluster Validity Index for Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters Vol. 5, Issue 2, Pages 166-170, April 2008.
  • S. Saha and S. Bandyopadhyay, "Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery", Fundamenta Informaticae,Volume 84, Issue 3-4, Pages 471-492, 2008.
  • S. Bandyopadhyay and S. Saha, "A Point Symmetry Based Clustering Technique for Automatic Evolution of Clusters", IEEE Transactions on Knowledge and Data Engineering, Volume 20, Issue 11, Pages 1-17, November 2008.
  • S. Saha, S. Sur-Kolay, P. Dasgupta and S. Bandyopadhyay , "MAkE: Multiobjective Algorithm for k-way Equipartitioning of a Point Set", Applied Soft Computing , Volume 9, Pages 711-724, 2009 (available on line, doi:10.1016/j.asoc.2008.09.012).
  • S. Saha and S. Bandyopadhyay, "Some Symmetry Based Classifiers", Fundamenta Informaticae, Volume 90, Issue 1-2, Pages 107-123, 2009.
  • S. Saha and S. Bandyopadhyay, "Performance Evaluation of Some Symmetry Based Cluster Validity Indices", IEEE Transactions on Systems, Man, and Cybernetics, Part C, Volume 39, Issue 4, Pages 420-425, July, 2009.M
  • S. Saha and S. Bandyopadhyay, "A New line Symmetry Distance and its Application to Data Clustering", Journal of Computer Science and Technology, Volume 24, Issue 3, Pages 544-556, May 2009.
  • S. Saha and S. Bandyopadhyay, "A New Point Symmetry Based Fuzzy Genetic Clustering Technique for Automatic Evolution of Clusters", Information Sciences, Volume 179, Issue 19, Pages 3230-3246, 2009.
  • S. Saha, S. Bandyopadhyay, "A symmetry based multiobjective clustering technique for automatic evolution of clusters", Pattern Recognition, Volume 43, Issue 3, March 2010, Pages 738-751.
  • S. Saha and S. Bandyopadhyay, "Semi-GAPS: A Semi-supervised Clustering Technique Using a Point Symmetry Based Distance", Fundamenta Informaticae, Volume 96, Issue 1-2, 2009, Pages 195-209.
  • S. Saha, S. Bandyopadhyay, "A New Multiobjective Simulated Annealing Based Clustering Technique Using Symmetry", Pattern Recognition Letters, Volume 30, Issue 15, Pages 1392-1403, 2009.
  • S. Saha and S. Bandyopadhyay, "Application of a Multiseed Based Clustering Technique for Automatic Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters, Volume 7, Issue 2, Pages 306-308, April 2010.
  • S. Saha and S. Bandyopadhyay, " Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach", Applied Intelligence (accepted).
  • S. Saha and S. Bandyopadhyay, "Use of Different Forms of Symmetry and Multiobjective Optimization for Automatic Pixel Classification in Remote Sensing Satellite Imagery", International Journal of Remote Sensing (accepted).
  • S. Saha and S. Bandyopadhyay, "On Principle axis based line Symmetry Based Clustering Techniques", Memetic Computing (accepted).
  • S. Bandyopadhyay, S. Saha and W. Pedrycz "Use of a fuzzy granulation–degranulation criterion for assessing cluster validity", Fuzzy Sets and Systems (accepted).
  • A. Ekbal and S. Saha (2011). Weighted Vote Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm Based Approach. In ACM Transactions on Asian Language Information Processing(Accepted).
  • A. Ekbal and S. Saha (2010). Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition. Research on Language and Computation Journal, Springer (Accepted).

Conference Publications:
  • S. Bandyopadhyay and S. Saha, "Simultaneous Optimization of Multiple Objectives: New Methods and Applications", Proceedings of the Eighth International Conference on Human and Computers, University of Aizu, Japan, pp. 159-165, 2005.
  • S. Saha and S. Bandyopadhyay, "Application of Multiobective Optimization for Data Clustering", International Conference on Emerging Applications of IT, February 10-11, Kolkata, India, pp. 275-278, 2006.
  • S. Saha, S. Bandyopadhyay and U. Maulik, "A New Symmetry-Based Genetic Clustering Algorithm", Proceedings of the Third International Conference on Artificial Intelligence In Engineering and Technology (ICAIET), Malaysia, pp. 417-422, 2006.
  • S. Saha, S. Bandyopadhyay and U. Maulik, "A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation", Proceedings of the IEEE 9th International Conference on Information Technology (ICIT), Bhubaneswar, pp. 121-124, 2006.
  • S. Saha, S. Sur-Koley, S. Bandyopadhyay and P. Dasgupta, "Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI", Proceedings of the IEEE 9th International Conference on Information Technology (ICIT), Bhubaneswar, pp. 281-284, 2006.
  • S. Saha and S. Bandyopadhyay, "A New Symmetry Based Genetic Clustering Technique for Automatic Evolution of Clusters", Proceedings of International Conference on Advances in Pattern Recognition-2007 (ICAPR), Kolkata, pp. 81-87, 2007.
  • S. Saha and S. Bandyopadhyay, "A Fuzzy Genetic Clustering Technique Using A New Symmetry Based Distance for Automatic Evolution of Clusters", Proceedings of the International Conference on Computing: Theory and Applications ICCTA, Kolkata, pp. 309-313, 2007.
  • S. Saha and S. Bandyopadhyay, "On Some Symmetry Based Validity Indices", IEEE International Congress on Evolutionary Computation, Singapore, pp. 697-704, 2007.
  • S. Saha and S. Bandyopadhyay, "MRI Brain Image Segmentation by Fuzzy Symmetry Based Genetic Clustering Technique", IEEE International Congress on Evolutionary Computation, Singapore, pp. 4417-4424, 2007.
  • S. Saha and S. Bandyopadhyay, "A Validity Index Based on Cluster Symmetry", IEEE International Conference SMC 2007, Montreal, pp. 462-467, 2007.
  • S. Saha and S. Bandyopadhyay, "A Symmetry Based Face Detection Technique", IEEE WIE National Symposium on Emerging Technologies(WieNSET 2007), (CD proceedings), Kolkata, 29-30 June, 2007. (available online: http://ewh.ieee.org/r10/calcutta/WIE/WieNSET07/papers/A1-2.pdf)
  • S. Saha and S. Bandyopadhyay, "Performance Assessment of Some Clustering Algorithms Based on A Fuzzy Granulation-degranulation Criterion", International Conference on Information Technology, ICIT 2007, pp. 62-67, Rourkela, DOI 10.1109/ICIT.2007.35 (IEEE CS Press).
  • S. Saha and S. Bandyopadhyay, "A Genetic Clustering Technique Using a New Line Symmetry Based Distance Measure", 15th International Conference on Advanced Computing & Communication (ADCOM 2007), Guwahati, 2007, pp. 365-370 (IEEE CS Press).
  • S. Saha and S. Bandyopadhyay, "A New Cluster Validity Index Based on Fuzzy Granulation degranulation Criterion", 15th International Conference on Advanced Computing & Communication (ADCOM 2007), Guwahati, 2007, pp. 353-358 (IEEE CS Press).
  • S. Saha, S. Bandyopadhyay and C. T. Singh, "A New Line Symmetry Distance Based Pattern Classifier", International Joint Conference on Neural Networks (IJCNN2008) as part of 2008 IEEE World Congress on Computational Intelligence (WCCI2008), Hongkong, 2008, pp. 1426-1433.
  • S. Saha and S. Bandyopadhyay, "A New Multiobjective Simulated Annealing Based Clustering Technique Using Stability and Symmetry", In the Proceedings of ICPR 2008, Florida.
  • S. Saha and S. Bandyopadhyay, "A New Multiobjective Simulated Annealing based Fuzzy-Clustering Technique for Pixel Classification in Remote Sensing Imagery", In the Proceedings of ICPR 2008, Florida.
  • S. Bandyopadhyay and S. Saha, "A New Principal Axis Based Line Symmetry Measurement and its Application to Clustering", In the Proceedings of ICONIP 2008, New-Zealand, pp. 179-180.
  • S. Saha and S. Bandyopadhyay, "Unsupervised Pixel Classification in Satellite Imagery Using a New Multiobjective Symmetry Based Clustering Approach", In the Proceedings of IEEE TENCON 2008, Hyderabad.
  • S. Saha and S. Bandyopadhyay, "Application of a New Line Symmetry Distance Based Genetic Clustering Technique for Automatic MR Brain Image Segmentation", In the Proceedings of IEEE TENCON 2008, Hyderabad.
  • S. Saha and S. Bandyopadhyay, "A Validity Index Based on Connectivity", In the Proceedings of ICAPR 2009, Kolkata, pp. 51-54.
  • S. Saha and S. Bandyopadhyay, "Automatic Pixel Classification in Remote Sensing Satellite Imagery Using a New Multiobjective Simulated Annealing Based Clustering Technique", In the Proceedings of Seminar on Spatial Information Retrieval, Analysis, Reasoning and Modelling, ISI Bangalore, March 18-20, 2009.
  • S. Saha and S. Bandyopadhyay,"A New Measure of Stability of Clustering Solutions: Application to Data Clustering", In the Proceedings of 2009 International Conference on Adaptive and Intelligent Systems - ICAIS'09, September 24-26, 2009, Klagenfurt -Austria, pp. 181-186.
  • A. Ekbal and S. Saha, "Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali", In the Proceedings of 7th international conference on Language Resources and Evaluation (LREC), Malta, May 19-21, 2010.
  • A. Ekbal and S. Saha, "Weighted Vote Based Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition", In the Proceedings of 15th International Conference on Applications of Natural Language to Information Systems June 23-25, 2010, Cardiff University, Cardiff, Wales, UK, pp. 256-267.
  • A. Ekbal and S. Saha, "Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition", In the Proceedings of 19th European Conference on Artificial Intelligence- ECAI 2010, Portugal, pp. 783-788.
  • A. Ekbal, S. Saha and C. S. Garbe, "Feature Selection Using Multiobjective Optimization for Named Entity Recognition", In the Proceedings of ICPR 2010, Turkey.
  • Md. Hasanuzzaman, Sriparna Saha and Asif Ekbal, "Feature Subset Selection Using Genetic Algorithm for Maximum Entropy based Classifier for Named Entity Recognition", In the Proceedings of Pacific Asia Conference on Language, Information and Computation, Japan, November 4-7, 2010 (accepted).
Presentations :
  • Presented a talk titled "Single and Multi-objective Optimization Techniques for Classifier Ensemble: An Application to NE Extraction" in University of Trento, Italy on September 23, 2010.
  • Presented a talk titled "A General Multi-center Based Multiobjective Clustering Technique" in University of Heidelberg, Germany on October 29th 2009.
  • Presented the paper titled "A New Symmetry Based Genetic Clustering Technique for Automatic Evolution of Clusters "in Seventh International Conference on Advances in Pattern Recognition, ICAPR 2009 held during 4-6 February, 2009 in Kolkata, India.
  • Attended and presented papers titled "A New Multiobjective Simulated Annealing Based Clustering Technique Using Stability and Symmetry " and "New Multiobjective Simulated Annealing based Fuzzy-Clustering Technique for Pixel Classification in Remote Sensing Imagery " in ICPR 2008 held at Florida, USA during 8-11 December, 2008.