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Curriculum Vitae Curriculum Vitae Name : Prof. SUSMITA GHOSH Email: [email protected] Teaching Experience Department of Computer Science & Engineering, Jadavpur University, Kolkata :- Professor: June 30, 2010 - till date. Associate Professor: January 01, 2006 - June 29, 2010 Reader: August 28, 2002 - December 31, 2005 Lecturer: February 14, 1997 - August 27, 2002 Industrial Experience : ---- Field of Specialization: Artificial Intelligence, Pattern Recognition and Machine Learning, Data Science and Big Data Analysis, Image and Video Analysis Courses Taught/ Teaching: Soft Computing, Machine Learning, Artificial Intelligence, Bioinformatics, Introduction to Computer Practice, Microprocessors, Computer Graphics, Computer Programming and Numerical Methods, Computer Programming Research Area: Computational Intelligence, Pattern Recognition and Machine Learning, Data Science and Big Data Analysis, Image and Video Analysis, Bioinformatics. Experience: A. Teaching Experience: Department of Computer Science and Engineering, Jadavpur University, Kolkata - 23 years B. Research Experience: Machine Intelligence Unit, Indian Statistical Institute, Kolkata - 3 years Conference Papers Published: (47) 1. A. Dey, S. Ghosh, and A. Ghosh, "Band Elimination for Dimensionality Reduction of Hyperspectral Images using Mutual Information", In 2020 IEEE International Geoscience and Remote Sensing Symposium, September 2020 (virtual), accepted. 2. S. Ghosh and P. Pramanik, "A Combined Framework for Dimensionality Reduction of Hyperspectral Images using Feature Selection and Feature Extraction", In 2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS), pp. 40-45, Kochi, India, 2019. 3. R. Roy, S. Ghosh, and A. Ghosh, "Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine", In eleventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018), 2018. Page 1 of 21 4. P. Subba, S. Ghosh, and R. Roy, "Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization", In fifth international conference on Mining Intelligence and Knowledge Exploration (MIKE 2017), pp. 297-307, Springer (LNAI 10682). 5. R. Roy, S. Ghosh, S. B. Cho, and A. Ghosh, "Despeckling with Structure Preservation in Clinical Ultrasound Images using Historical Edge Information Weighted Regularizer", In fifth international conference on Mining Intelligence and Knowledge Exploration (MIKE 2017), pp. 144-155 Springer (LNAI 10682). 6. S. Das, J. Leopold, S. Ghosh and S, K. Das, “Graph Compaction in Analyzing Large Scale Online Social Networks”, IEEE International Conference in Communications (ICC) 2017, pp. 1-6. 7. A. Mondal, K. R. Murthy, A. Ghosh and S. Ghosh, “Robust Image Segmentation using Global and Local Fuzzy Energy based Active Contour” IEEE International Conference on Fuzzy System (FUZZ-IEEE 2016), pp. 1341- 1348 (Published by IEEE). 8. A. Mondal, A. Ghosh and S. Ghosh, “Prototypes based Discriminative Appearance Model for Object Tracking”, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2016, 2:1-2:8. 9. S. Das, S. K. Das and S. Ghosh, “Inferring Future Links in Large Scale Networks”, IEEE 41st Conference on Local Computer Networks (LCN) 2016, pp. 242-252. 10. S. Das, J. Leopold, S. Ghosh and S, K. Das, “Graph Partitioning in Parallelization of Large Scale Networks”, IEEE 41st Conference on Local Computer Networks (LCN) 2016, pp. 176-179. 11. S. Das, S. K. Das and S. Ghosh, “Leveraging Contact Pattern to Predict Future Contact Pattern in Mobile Networks, HOTPOST@MobiHoc 2016, pp. 13-18. 12. D. Choudhury, A. Naug and S. Ghosh, "Texture and Color Feature Based WLS Framework Aided Skin Cancer Classification using MSVM and ELM", IEEE INDICON 2015. 13. A. Mondal, B. N. Subudhi, M. Roy, S. Ghosh, and A. Ghosh, "A study on Non-linear Classifier Based Moving Object Tracking", International Conference on Intelligent Computing, Communication & Devices (ICCD-2014) (Published by Springer), vol. 1, pp. 571-578, Bhubaneswar, India, 2015. 14. A. Datta, S. Ghosh and A. Ghosh, "Maximum Margin Criterion based Band Extraction of Hyperspectral Imagery", in Proceedings of Fourth International Conference on Emerging Applications of Information Technology, EAIT’2014, (Kolkata, India), pp.300- 304, 2014. 15. M. Roy, A. Law, and S. Ghosh, “Semi-Supervised Self-organizing Feature Map for Gene Expression Data Classification”, in the Proceedings of Pattern Recognition and Page 2 of 21 Machine Intelligence - 5th International Conference, PReMI 2013, India, pp. 688-694, 2013. 16. B. N. Subudhi, S. Ghosh, and A. Ghosh, "Spatial Constraint Hopfield-type Neural Networks for Detecting Changes in Remotely Sensed Multitemporal Images", International Conference on Image Processing (ICIP-2013), Australia, pp. 3815-3819, 2013. 17. B. N. Subudhi, S. Ghosh, and A. Ghosh, "Moving Object Detection using Gaussian Background Model and Wronskian Framework", International Symposium on Pattern Recognition and Image Processing (PRIP-2013) at Second International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), India, pp. 1775-1780, 2013. 18. A. Mondal, S. Ghosh, and A. Ghosh, "Efficient Silhouette based Contour Tracking", International Symposium on Pattern Recognition and Image Processing (PRIP-2013) at Second International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), India, pp. 1781-1786, 2013. 19. A. Datta, S. Ghosh, and A. Ghosh, "Band Elimination of Hyperspectral Imagery using Correlation of Partitioned Band Images", Second International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), India, pp. 412-417, 2013. 20. N. S. Mishra, S. Ghosh, and A. Ghosh, "Combination of Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images", Third International Conference on Emerging Applications of Information Technology, Kolkata, India, pp. 279-282, 2012. 21. A. Datta, S. Ghosh, and A. Ghosh, “Clustering based Band Selection for Hyperspectral Images”, International Conference on Communications, Devices and Intelligent Systems (CODIS), Kolkata, India, pp. 101-104, 2012. 22. A. Halder, A. Dasgupta, and S. Ghosh, “Image Segmentation using Rough-Fuzzy K- medoid Algorithm, International Conference on Communications, Devices and Intelligent Systems (CODIS), Kolkata, India, pp. 105-108, 2012. 23. M. Roy, D. Routaray, and S. Ghosh, “Change Detection in Remotely Sensed Images using an Ensemble of Multilayer Perceptrons, International Conference on Communications, Devices and Intelligent Systems (CODIS), Kolkata, India, pp. 278-281, 2012. 24. B. N. Subudhi, S. Ghosh, and A. Ghosh, "Object and Shadow Separation using Fuzzy Markov Random Field and Local Gray Level Co-occurrence Matrix based Textural Features", 12th International Conference on Intelligent Systems Design and Applications (ISDA 2012), India, pp. 95-100 , 2012. 25. M. Roy, S. Ghosh, and A. Ghosh, “Search-based Semi-supervised Clustering Algorithms for Change Detection in Remotely Sensed Images”, IEEE INDICON 2012, Kerala, India, pp. 503-507, 2012. Page 3 of 21 26. M. Roy, S. Ghosh, and A. Ghosh, “A Semi-supervised Change Detection for Remotely Sensed Images using Ensemble Classifier”, 4th International Conference on Intelligent Human Computer Interaction, Kharagpur, India, pp. 545-549, 2012. 27. M. Roy, S. Das, S. Ghosh, and A. Ghosh, “Semi-supervised Hopfield-Type Neural Network for Change Detection in Remotely Sensed Images”, 1st International Conference on Recent Advances in Information Technology, Dhanbad, India, pp. 379- 384, 2012. 28. N. S. Mishra, S. Ghosh, and A. Ghosh, “Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images”, 1st Indo-Japan Conference on Perception and Machine Intelligence (PerMIn 2012), Kolkata, India, pp. 269-276, 2012. 29. A. Mondal, S. Ghosh, and A. Ghosh, “Distributed Differential Evolution Algorithm for MAP Estimation of MRF model for Detecting Moving Objects”, International Conference on Image Information Processing (ICIIP 2011), Shimla, India, pp. 1-6, 2011. 30. A. Datta, S. Ghosh, and A. Ghosh, “Wrapper based Feature Selection in Hyperspectral Image Data using Self-adaptive Differential Evolution”, International Conference on Image Information Processing (ICIIP 2011), Shimla, India, pp. 1-6, 2011. 31. S. Ghosh and M. Roy, “Modified Self-Organizing Feature Map Neural Network with Semi-Supervision for Change Detection in Remotely Sensed Images”, 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011), LNCS Vol. 6744, Moscow, Russia, pp. 98-103, 2011. 32. A. Mandal, S. Ghosh, and A. Ghosh, ''Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images", 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011),, LNCS Vol. 6744, Moscow, Russia, pp. 318-323, 2011. 33. A. Halder, S. Ghosh, and A. Ghosh, "Ant based Semi-supervised Classification", Seventh International Conference on Swarm Intelligence, ANTS 2010, Brussels, Belgium, Springer, LNCS Volume 6234, pp. 376-383, 2010. 34. N. S. Mishra, S. Ghosh, and A. Ghosh, “Fuzzy Clustering Algorithms Incorporating Local Information for Change Detection in Remotely Sensed Images”, 12th International Conference on Information Technology, ICIT-2009, Bhubaneswar, India, pp. 100-105, 2009. 35. A. Halder, S. Ghosh, and A. Ghosh, “Ant based Supervised and Unsupervised Land Use Map Generation from Remotely
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