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.
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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
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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.
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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 Sensed Images”, World Congress on Nature and Biologically Inspired Computing, Coimbatore, India, pp. 158-163, 2009 (won the Best Innovation Award).
36. S. Ghosh, N. S. Mishra, and A. Ghosh, “Unsupervised Change Detection of Remotely Sensed Images using Fuzzy Clustering”, 7th International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata, India, pp. 385-388, 2009.
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37. A. Halder, S. Ghosh, and A. Ghosh, “Aggregation Pheromone Density Based Classification”, 11th International Conference on Information Technology, ICIT-2008, Bhubaneswar, India, pp. 100-105, 2008.
38. S. Patra, S. Ghosh, and A. Ghosh, “Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images”, in 2nd International Conference on Pattern Recognition and Machine Intelligence (PReMI-07), (Kolkata, India), A. Ghosh, R. K. De, and S. K. Pal (eds.), pp. 161-168, LNCS 4815, Springer, December 2007.
39. S. Patra, S. Ghosh, and A. Ghosh, “Unsupervised Change Detection in Remote-Sensing Images using Modified Self-Organizing Feature Map Neural Network”, in International Conference on Computing: Theory and Applications (Platinum Jubilee Conference) ICCTA-2007, (Kolkata, India), pp. 716-720, IEEE Computer Society Press, March 2007.
40. M. Kothari, S. Ghosh, and A. Ghosh, “Aggregation Pheromone Density Based Change Detection in Remotely Sensed Images,” in Proceedings 6th International Conference on Advances in Pattern Recognition (ICAPR-2007), (Kolkata, India), pp. 193-197, World Scientific, January 2007.
41. S. Patra, S. Ghosh, and A. Ghosh, “Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-organizing Feature Map Neural Network”, in Proceedings 9th International Conference on Information Technology (ICIT-2006), (Bhubaneswar, India), S. P. Mohanty and A. Sahoo (eds.), pp. 141-142, IEEE Computer Society Press, December 2006.
42. M. Kothari, S. Ghosh, and A. Ghosh, “Aggregation Pheromone Density Based Clustering,” in Proceedings 9th International Conference on Information Technology (ICIT-2006), (Bhubaneswar, India), S. P. Mohanty and A. Sahoo (eds.), pp. 259-264, IEEE Computer Society Press, December 2006.
43. S. Ghosh, M. Kothari, and A. Ghosh, “Aggregation Pheromone Density Based Image Segmentation,” Computer Vision, Graphics and Image Processing, (Proceedings of 5th Indian Conference, ICVGIP 2006), Madurai, India, P. Kalra and S. Peleg (eds.), LNCS 4338, Springer, pp. 118-127, 2006.
44. S. Ghosh and S. Banerjee, “Image Ambiguity Optimization for Image Enhancement: A GA-Fuzzy Approach”, in Proceedings International Conference on Communications, Devices and Intelligent Systems (CODIS 2004), (Kolkata, INDIA), pp. 612-615, 2004.
45. S. Ghosh (nee De) and A. Ghosh, “A GA-FUZZY Approach to Evolve Hopfield type Optimum Networks for Object Extraction”, in Proceedings International Conference on Fuzzy Systems, AFSS 2002 (Lecture Notes Series in Artificial Intelligence, Springer Verlag), (Kolkata, INDIA), pp. 444-449, 2002.
46. S. De and S. K. Pal, “Evolution of Hopfield type Networks for Object Extraction using Simulated Annealing”, in Proceedings of the International Conference on Computers and Devices for Communication, CODEC-98, (Science City, Calcutta), pp. 413-416, 1998.
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47. S. De, A. Ghosh, and S. K. Pal, “An Application of Genetic Algorithms to Evolve Hopfield type Optimum Network Architectures for Object Extraction”, in Proceedings 1995 IEEE International Conference on Evolutionary Computation, ICEC'95, (Perth, Australia), vol. 1, pp. 504-508, 1995.
Journal Papers Published: (41) 1. H. N. Somehsaraei, S. Ghosh, S. Maity, P. Pramanik, S. De, and M. Assadi, "Automated Data Filtering Approach for ANN Modeling of Distributed Energy Systems: Exploring the Application of Machine Learning", Energies, 2020 (accepted). (Impact Factor: 2.676) 2. R. Roy, S. Ghosh and A. Ghosh, "Clinical Ultrasound Image Standardization using Histogram Specification", Computers in Biology and Medicine, vol. 120, 2020. (Impact Factor: 3.434) https://doi.org/10.1016/j.compbiomed.2020.103746 3. A. Mondal, S. Ghosh and A. Ghosh, "Occluded Object Tracking using Prototypes Based Discriminative Appearance Model and Particle Filter", Applied Soft Computing, vol. 73, pp. 1081-1094, 2018. (Impact Factor: 3.907) 4. R. Roy, S. Ghosh and A. Ghosh, "Speckle De-noising of Clinical Ultrasound Images based on Fuzzy Spel Conformity in its Adjacency", Applied Soft Computing, vol 73. pp. 394-417, 2018. (Impact Factor: 3.907) 5. A. Mondal, S. Ghosh and A. Ghosh, “Scaled and Oriented Object Tracking using Ensemble of Multilayer Perceptrons,” Applied Soft Computing, vol. 73. pp. 1081-1094, 2018. (Impact Factor: 3.907) 6. A. Mondal, S. Ghosh and A. Ghosh, "Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour”, International Journal of Computer Vision, vol. 122, no. 1 pp. 116-148, 2017. (Impact Factor: 8.222) 7. A. Datta, S. Ghosh and A. Ghosh, "Supervised Feature Extraction of Hyperspectral Images using Partitioned Maximum Margin Criterion", IEEE Journal of Geoscience and Remote Sensing Letters, vol. 14, no. 1, pp. 82-86, 2017. (Impact Factor: 2.761) 8. A. Datta, S. Ghosh and A. Ghosh, "Unsupervised Band Extraction of Hyperspectral Images using Clustering and kernel Principal Component Analysis", International Journal of Remote Sensing, vol. 38, no. 3, pp. 850-873, 2017. (Impact Factor: 1.724) 9. B. N Subudhi, S. Ghosh, P. K. Nanda, and A Ghosh, "Moving Object Detection using Spatio-temporal Multilayer Compound Markov Random Field and Histogram Thresholding based Change Detection", Multimedia Tools and Applications, vol.76, no.11, pp. 13511-13543, 2017. (Impact Factor: 1.530) 10. B. N. Subudhi, S. Ghosh and A. Ghosh, “Integration of Fuzzy Markov Random Field and Local Information for Separation of Moving Objects and Shadow”, Information Sciences, vol. 331, pp. 15-31, 2016. (Impact Factor: 4.832) 11. A. Mondal, S. Ghosh and A. Ghosh, “Robust Global and Local Fuzzy Energy based Active Contour for Image Segmentation,” Applied Soft Computing, vol. 4. 47, no. 2016, pp. 191-215, 2016. (Impact Factor: 3.541)
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12. B. N. Subudhi, S. Ghosh, S. C. K. Shiu and A. Ghosh, “Statistical Feature Bag Based Background Subtraction for Local Change Detection”, Information Sciences, vol. 366, issue 1, pp. 31-47, 2016. (Impact Factor: 4.832)
13. A. Mondal, S. Ghosh and A. Ghosh, "Efficient Silhouette-Based Contour Tracking using Local Information", Soft Computing, vol. 20, pp. 785-805, 2016 (December 2014, online). (Impact Factor: 2.472)
14. M. Roy, F. Melgani, A. Ghosh, E. Blanzieri, and S. Ghosh, "Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns", IEEE Journal of Geoscience and Remote Sensing Letters, vol. 12, no. 6, pp. 1257-1261, 2015. (Impact Factor: 2.761, 2.095)
15. A. Datta, S. Ghosh and A. Ghosh, "Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 8, no. 6, pp. 2814-2823, 2015. (Impact Factor: 2.913)
16. B. N. Subudhi, S. Ghosh, and A. Ghosh, “Application of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Detecting Moving Objects from Video Sequences Captured by Static Camera”, Soft Computing, vol. 19, pp. 2769-2781, 2015 (September 2014, online). (Impact Factor: 2.472)
17. M. Roy, D. Routray, S.Ghosh, and A. Ghosh, "Ensemble of multilayer perceptrons for change detection in remotely sensed images", IEEE Journal of Geosciences and Remote Sensing Letters, vol. 11, no. 1, pp. 49-53, 2014. (Impact Factor: 2.761, 1.823)
18. M. Roy, S. Ghosh, and A. Ghosh, "A Novel Approach for Change Detection of Remotely Sensed Images using Semi-supervised Multiple Classifier System", Information Sciences, vol. 269, pp. 35-47, 2014 (Impact Factor: 4.832).
19. M. Roy, S. Ghosh, and A. Ghosh, "A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 4, pp. 1200-1206, 2014. (Impact Factor: 2.913)
20. S. Ghosh, M. Roy, and A. Ghosh, "Semi-supervised change detection using modified self-organizing feature map neural network", Applied Soft Computing, vol. 15, pp. 1-20, 2014. (Impact Factor: 3.541)
21. A. Datta, S. Ghosh, and A. Ghosh, "Band Elimination of Hyperspectral Imagery using Partitioned Band Image Correlation and Capacitory Discrimination", International Journal of Remote Sensing, vol. 35, no. 2, pp. 554-577, 2014. (Impact Factor: 1.724)
22. A. Ghosh, A. Mondal, and S. Ghosh, "Moving Object Detection using Markov Random Field and Distributed Differential Evolution", Applied Soft Computing, vol. 15, pp. 121- 136, 2014. (Impact Factor: 3.541)
23. M. Roy, S. Ghosh, and A. Ghosh, "Change Detection in Remotely Sensed Images using Semi-supervised Clustering Algorithms", International Journal of Knowledge Engineering and Soft Data Paradigms, vol. 4, no. 2, pp.118-137, 2013.
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24. A. Halder, S. Ghosh, and A. Ghosh, “Aggregation Pheromone Metaphor for Semi- supervised Classification,” Pattern Recognition, vol. 46, pp. 2239-2248, 2013. (Impact Factor: 4.582)
25. B. N. Subudhi, S. Ghosh, and A. Ghosh, “Change Detection for Moving Object Segmentation with Robust Background Construction under Wronskian Framework”, Machine Vision and Applications (published online: 12 January, 2013). (Impact Factor: 2.005)
26. A. Ghosh, A. Datta, and S. Ghosh, “Self-adaptive Differential Evolution for Feature Selection in Hyperspectral Image Data”, Applied Soft Computing, vol. 13, no. 4, pp.1969- 1977, 2013. (Impact Factor: 3.541)
27. A. Ghosh, B. N. Subudhi, and S. Ghosh, "Object Detection from Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching", IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, pp. 1127- 1135, 2012 (Impact Factor: 3.599, 1.649)
28. N. S. Mishra, S. Ghosh, and A. Ghosh, “Fuzzy Clustering Algorithms Incorporating Local Information for Change Detection in Remotely Sensed Images”, Applied Soft Computing, vol. 12, pp. 2683–2692, 2012. (Impact Factor: 3.541, 2.14/2014, 2.612/2012)
29. S. Patra, S. Ghosh, and A. Ghosh, "Histogram Thresholding for Unsupervised Change Detection of Remote Sensing Images", International Journal of Remote Sensing, 32 (21), pp. 6071-6089, 2011. (Impact Factor: 1.724, 1.138)
30. A. Halder, A. Ghosh, and S. Ghosh, "Supervised and Unsupervised Landuse Map Generation from Remotely Sensed Images using Ant Based Systems", Applied Soft Computing, vol. 11, pp. 5770-5781, 2011. (Impact Factor: 3.541, 2.14/2014, 2.612/2011)
31. A. Ghosh, N. S. Mishra, and S. Ghosh, "Fuzzy Clustering Algorithms for Unsupervised Change Detection in Remote Sensing Images", Information Sciences, vol. 181, pp. 699- 715, 2011. (Impact Factor: 4.832, 3.643/2014, 2.833/2011)
32. S. Ghosh, M. Kothari, A. Halder, and A. Ghosh, “Use of Aggregation Pheromone Density for Image Segmentation”, Pattern Recognition Letters, vol. 30, pp. 939-949, 2009. (Impact Factor: 1.995, 1.303)
33. A. Halder, A. Ghosh, and S. Ghosh, “Aggregation Pheromone Density Based Pattern Classification”, Fundamenta Informaticae, vol. 92, no. 4, pp. 345-362, 2009. (Impact Factor: 0.687, 0.399/2012, 0.615/2009)
34. S. Ghosh, S. Patra, and A. Ghosh, “An Unsupervised Context-sensitive Change Detection Technique Based on Modified Self-organizing Feature Map Neural Network”, International Journal of Approximate Reasoning, vol. 50, pp. 37-50, 2009. (Impact Factor: 2.845, 1.729/2014, 2.09/2009)
35. A. Ghosh, A. Halder, M. Kothari, and S. Ghosh, “Aggregation Pheromone Density based Data Clustering”, Information Sciences, vol. 178, no. 13, pp. 2816-2831, 2008. (Impact Factor: Impact Factor: 4.832, 3.643/2014, 3.095/2008)
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36. S. Patra, S. Ghosh, and A. Ghosh, “Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron”, Fundamenta Informaticae, vol. 84, pp. 429-442, 2008. (Impact Factor: 0.687, 0.399/2012, 0.715/2008)
37. S. Ghosh, L. Bruzzone, S. Patra, F. Bovolo, and A. Ghosh, “A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks”, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 3, pp. 778-789, March 2007. (Impact Factor: 4.942, 2.34)
38. S. Ghosh (nee De), A. Ghosh, and S. K. Pal, “Incorporating Ancestors' Influence in Genetic Algorithms”, International Journal of Applied Intelligence, vol. 18, pp. 7-25, 2003. (Impact Factor: 1.904, 0.789)
39. S. Ghosh and A. Ghosh, “Image Ambiguity Optimization for Object Extraction: A Soft Computing Approach”, International Journal of Fuzzy Systems, vol. 4, no. 2, pp. 673- 679, 2002. (Impact Factor: 2.198/ 2016, 1.090)
40. S. De, S. K. Pal, and A. Ghosh, “Genotypic and Phenotypic Assortative Mating in Genetic Algorithm”, Information Sciences, vol. 105, pp. 209-226, 1998. (Impact Factor: 4.832, 2.833/2012, 0.169/1997)
41. S. K. Pal, S. De, and A. Ghosh, “Designing Hopfield type Networks using Genetic Algorithms and its Comparison with Simulated Annealing”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 11, no. 3, pp. 447-461, 1997. (Impact Factor: 0.624/2012,0.348/1998)
Books Published: (Edited: 3)
1. S. Dehuri, S. Ghosh, and S.-B. Cho, (eds.), “Integration of Swarm Intelligence and Artificial Neural Networks,” World Scientific Publishing Co. (Series in Machine Perception and Artificial Intelligence – Vol. 78), 2011 (ISSN-13 978-981-4280-14-3, ISBN- 10 981-4280-14-3). 2. C. A. Coello Coello, S. Dehuri, and S. Ghosh (eds.), “Swarm Intelligence for Multi- objective Problems in Data Mining,” Springer, Germany (Studies in Computational Intelligence, Vol. 242), 2009 (ISSN 1860-949X, ISBN 978-3-642-03624-8). 3. A. Ghosh, S. Dehuri, and S. Ghosh (eds.), “Multiobjective Evolutionary Algorithms for Knowledge Discovery from Databases,” Springer, Germany (Studies in Computational Intelligence, Vol. 98), 2008 (ISSN 1860-949X, ISBN 978-3-540-77466-2).
Chapters Contributed in Edited Volumes: (9) 1. A. Datta, S. Ghosh and A. Ghosh, "Hyperspectral Remote Sensing Images and Supervised Feature Extraction," in Cloud Computing for Geospatial Big Data Analytics, (Eds. H. Das, R. K. Barik, H. Dubey, D. S. Roy), pp. 265-289, 2019, Springer.
2. A. Datta, S. Ghosh and A. Ghosh, "PCA, Kernel PCA and Dimensionality Reduction in Hyperspectral Images," in Advances in Principal Component Analysis Research and Development, (ed. Ganesh R. Naik), pp. 19-46, 2017, Springer Singapore.
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3. B. N. Subudhi, S. Ghosh and A. Ghosh, "Moving Object Detection using Multi Layer Markov Random Field Model", in Pattern Recognition and Big Data, (Eds. A. Pal and S.K. Pal), 2017, pp. 687-711.
4. S. Dehuri, S.-B. Cho, and S. Ghosh, "Swarm Intelligence and Neural Networks" in Integration of Swarm Intelligence and Artificial Neural Network, (eds. S. Dehuri, S. Ghosh, and S.-B. Cho), World Scientific, 2011, pp. 1-21.
5. S. Dehuri, S, Ghosh, and C. A. Coello Coello, “An Introduction to Swarm Intelligence for Multi-objective Problems in Data Mining” in Swarm Intelligence for Multi-objective Problems in Data Mining, (eds. Carlos A. Coello Coello, S . Dehuri, S. Ghosh), Springer, 2009, pp. 1-17.
6. S. Dehuri, S. Ghosh, and A. Ghosh, “Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases” in Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, (eds. A. Ghosh, S. Dehuri, and S. Ghosh), Springer, 2008, pp. 1-22.
7. S. Patra, S. Ghosh, and A. Ghosh, ‘Unsupervised Context-Sensitive Change Detection Techniques Based on Self-Organizing Feature Map Neural Network,’ in Advances in Intelligent Information Processing: Tools and Applications, (eds. B. Chanda and C. A. Murthy), World Scientific Press, 2008, pp. 167- 190.
8. S. Ghosh, S. Patra, and A. Ghosh, “A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images,” in Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, (eds. B. Prasad and S. R. M. Prasanna), Springer- Verlag, Germany, 2008, pp. 243-268.
9. S. De, A. Ghosh, and S. K. Pal, `Fitness Evaluation in Genetic Algorithms with Ancestors' Influence', in Genetic Algorithms for Pattern Recognition, (eds. S.K. Pal and P.P. Wang), CRC Press, Boca Raton, USA, pp. 1-23, 1996.
Ph. D. Thesis Guidance: (10) Awarded: Dr. Ajoy Mondal, Online Tracking of Moving Objects from Video Scenes using Classifiers, February 2018 Dr. Aloke Datta, Dimensionality Reduction in Hyperspectral Images, November 2017 Dr. Moumita Roy, Semisupervised Neural Networks for Change Detection of Remotely Sensed Images, April 2015 Dr. Badri Narayan Subudhi, On Detection and Tracking of Moving Objects in Video Scenes, December 2014 Dr. Anindya Halder, Ant Colony Approach for Certain Tasks of Pattern Recognition, May 2013 Dr. Swarnajyoti Patra, Unsupervised Change Detection of Remotely Sensed Images: A Neural Approach, March 2009 Ongoing: Sri Debayan Goswami, Machine Learning based Healthcare Recommendation Sri Ramkishore Bhattacharyya, Data Mining Algorithms for Anomaly Detection from Microarray Gene Expression
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Sri Rahul Roy, Quantification of Some Cardiovascular Diseases using Image Analysis Smt Namita Jain, Non-linear Feature Relationship Indices and Their Applications to Pattern Recognition Problems.
M. Phil Thesis Guidance: 0
Master (MCSE) Thesis Guidance: (25)
1. Smt. Dipabali Mahato, Prognosis of Renal Cell Carcinoma using Gradient Boosting Classifier, 2020 2. Smt. Payel Pramanik, Dimensionality Reduction of Hyperspectral Images using Combinations of Extracted and Selected Features, 2019 3. Sri Sayantan Maity, Leaf Classification using Convolution Neural Network, 2019 4. Sri Utshav Saha, Performance Analysis of Bio-inspired Optimization Algorithms and Their Applications to Data Clustering, 2019 5. Sri Ranajoy Banerjee, Weighted K-Means using Particle Swarm Optimization, 2018 6. Smt. Tithi Bhakta, Weighted K-Means using Genetic Algorithm, 2018 7. Sri Prannoy Subba, Study on Clustering Based Approaches for Single Document Extractive Text Summarization, 2017 8. Smt. Abantika Pal, Ab-Initio Protein Structure Prediction using Bacterial Foraging Optimization Algorithm, 2014 9. Smt. Aparajita Dutta, Hybridization of Recurrent Neural Network and Bacterial Foraging Optimization for Inferring Gene Regulatory Network, 2014 10. Smt. Anwesha Law, Semi-Supervised Self-Organizing Feature Map for Gene classification, 2013 11. Mr. Tuhin Kanti Dutta, Some Studies on Moving Object Tracking using Various Classifiers, 2012 12. Mr. Dipen Routaray, Multilayer Perceptron for Change Detection of Remotely Sensed Images, 2012 13. Mr. Suvadeep Das, Moving Object Detection in Video: A Study on Some Temporal Segmentation Techniques, 2011 14. Mr. Pratik Chattopadhyay, Change Detection: Case Studies for Remote Sensing and Video Images, 2011 15. Mr. Indranil Halder, Some Studies on Semi-supervised Clustering and Classification, 2010 16. Mr. Sayak Sengupta, Semi-supervised Classification using Support Vector Machine, 2010 17. Smt. Aditi Mondal, Neuro-GA Technique for Detecting Changes of Multitemporal Remotely Sensed Images, 2009 18. Mr. Rahul Dasgupta, Determination of Atmospheric Effects using Neural Network for Change Detection in Remote Sensing Images, 2008 19. Mr. Bappa Sarkar, A Study on Effects of Clustering for Mobile User Tracking: A Neural Approach, 2007 20. Sri Debashish Kumar Sarker, Pin-Code Extraction for Indian Postal Automation (Submitted to the CSE Department, JU for MTCT Degree), 2004 21. Mr. Amiya Halder, Fuzzy Image Ambiguity Optimization for Image Enhancement using Genetic Algorithms, 2003 22. Smt. Tania Banerjee, Class Routine Fixation with Genetic Algorithms, 2003
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23. Smt. Sima Das, Application of Genetic Algorithms for Determining Image Enhancement Functions, 2003 24. Sri Gurubrata Sarkar, Timetable Scheduling using Genetic Algorithms: A Case Study for CSE Department of Jadavpur University, 2002 25. Sri Naveen Kumar. Y., Some Studies on Clustering for Data Mining: Comparison between k-medoid and Genetic Algorithms, 2002
MCA Thesis Guidance: (30)
1. Image Captioning using Convolutional Neural Network and Long Short Term Memory - submitted by Mr. Ankit Kumar Mandal, 2019 2. A Survey on Data Streaming Algorithms using Partitional Approach - submitted by Mr. Sumanta Adhikary, 2018 3. Single Document Extractive Text Summarization using Clustering Techniques and Genetic Algorithms – submitted by Ms. Madhuri Mitra, 2017 4. Extractive Text Summarization Based on K-means and Differential Evolution – submitted by Mr. Pratim Kumar Dutta, 2017 5. Classification of Gene Expression Data using Random Forests – submitted by Ms. Shramana Thakur, 2016 6. Weight Optimization of MLP using Swarm Intelligence and Genetic Algorithms – submitted by Mr. Kousik Maji, 2010 7. Population based Search Techniques for Clustering – submitted by Mr. Susobhan Adhikari, 2010 8. Learning Vector Quantization for Classification – submitted by Mr. Sushovan Bhattacharya, 2010 9. Clustering Algorithm based Change Detection of Remotely Sensed Images – submitted by Mr. Pranab Kumar Bhowmick, 2009 10. Color Image Segmentation by Clustering Technique - submitted by Mr. Ajoy Mondal, 2009 11. Co-occurrence Matrix based Image Segmentation – submitted by Mr. Raju Halder, 2008. 12. Histogram Thresholding for Image Segmentation – submitted by Mr. Utpal Roy, 2008. 13. Client Support System – submitted by Ishita Pyne, 2008. 14. Manpower in Second Life – submitted by Smt. Ananya Dasgupta, 2007. 15. Carlson Radisson in Second Life – submitted by Mr. Ranadip Guha, 2007. 16. An Application of Multilayer Perceptron to track the Location of Mobile Users – submitted by Mr. Abhik Ghosh, 2007. 17. Tracking of Mobile Users with Multilayer Perceptron and Simulated Annealing – submitted by Mr. Kirity Mahanty, 2007. 18. Predicting the Location of a Mobile User with Multilayer Perceptron and Genetic Algorithm – submitted by Subhro Muhuri, 2007. 19. An Application of Tabu Search to Evolve Optimum Neural Networks for Mobile User Tracking – submitted by Mr. Saktipada Maity, 2006. 20. A Neuro-Genetic Approach for Mobile User Tracking – submitted by Mr. Debanjan Basu, 2006. 21. Location Prediction of Mobile Users with Neural Networks and Simulated Annealing - submitted by Mr Dinesh Agarwal, 2006. 22. Solving Partitioning Problem using Genetic Algorithm - submitted by Sri Ayan Basu, 2004. 23. Channel Routing Problem using Genetic Algorithms - submitted by Sri Prasanta Ghorui, 2004.
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24. Floor Planning using Genetic Algorithm - submitted by Sri Dibyendu Chakraborty, 2004. 25. Ordered Genetic Algorithms and Traveling Salesman Problem - submitted by Smt. Susmita Ghosh, 2003. 26. A Study on Mining Association Rules From Large Databases and Clustering Algorithms for Data Mining - submitted by Sri Bikash Karmakar, 2003. 27. Geno-Fuzzy Approach to Image Segmentation and Enhancement - submitted by Sri Subhendu Banerjee, 2003. 28. SAP- Project, Implementation and Maintenance of SAP - submitted by Sri Jyotirmay Kanthal, 2003. 29. A Study on Clustering Algorithms for Data Mining- submitted by Sri Pradipta De, 2002. 30. Image Enhancement using Genetic Algorithms- submitted by Sri Sujit Ghose, 2002.
7. Research Projects Carried out/ Ongoing (16)
Title of the Project Funding Period Complete/ Amount Agency/ ongoing Institute Principal Investigator of the Project DST SERB 09.07. 2020 Ongoing INR 5,00,000 titled "Identifying Important Factors - Impacting the Spread and Mortality Rate 08.07.2021 of COVID-19 Using Biclustering Approach" under MATRICS Special Call under COVID-19
Principal Investigator of ASEAN-India DST under 29.06.2020 Ongoing INR Collaborative Research Project titled International - 30,82,188 “A Multi Modal Approach to Medical Multilateral and 28.06.2022 (Partners from Diagnosis Embedding Deep and Regional Thailand and Transfer Learning” Cooperation Singapore) Division Co-PI of the Project titled "Distributed Ministry of 28.02.2020 Ongoing INR Cognitive System for Healthcare" under Electronics & - 132,55,000 Consortium Project on "Development of Information 27.02.2023 (ISI Kolkata, Application Oriented AI Systems" Technology Jadavpur (MeitY) University, IIT Dhanbad, IIT Jammu) Principal Investigator of the Project MHRD:RUSA June 2019 Ongoing INR 6,00,000 titled “Determining the Correlation 2.0 (Rashtriya - between Clinical and Radiological Data Uchchatar March 2020 for Early Detection of Renal Carcinoma Shiksha using Machine Learning Algorithms" Abhiyan)
Member of a collaborative project Norwegian 2018 - 2019 Ongoing 300,000 NOK titled “Sustainable Energy and Centre for Environment Solutions: Technology and International Policy” (project # UTF-2017- Cooperation in twoyear/10081) Education SIU (Norway)
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Title of the Project Funding Agency/ Period Complete/ Amount Institute ongoing Member of a collaborative Norwegian Centre 2015 - Complete Indian Side: project titled “Road Map for for International 2018 INR 53,15,760 Decarbonization of Indian Energy Cooperation in Norwegian System: Exploring Innovative Education Side: Solutions” under the Indo- SIU(Norway) and 6,00,000 Norwegian Cooperation Program, UGC (India) NOK 2014 (project # INCP-2014/10086)
Acted as Principal Investigator of DST – PURSE II 2015 - Complete INR 6,00,000 the Project titled “Fuzzy Set 2018 Theoretic Approach for Moving Object Detection and Tracking" Acting as Coordinator on behalf European Union 2016 - Complete ----- of Jadavpur University for 2018 Erasmus+ Program (coordinated by UPM, Spain) Acted as Coordinator on behalf European Union 15.07.12 Complete 2,999,025 of Jadavpur University for Erasmus – Euro Mundus Action 2 Project India for 14.07.16 (total) EU II selected under EACEA 42/11 Lot 11 (URL: www.india4eu.eu)
Acted as Coordinator on behalf European Union 15.07.09 Complete 4,680,000 of Jadavpur University for Erasmus – Euro Mundus Project India for EU 14.07.13 (total) selected under EACEA/ 35/08 Lot (Partner- 13c (URL: ship www.india4eu.polito.it) Statement signed by Registrar on 2008) Acted as Principal Investigator, Department of 14.03.08 Complete INR Jadavpur University for India- Science & – 1,39,11,000 Trento Programme for Advanced Technology, 30.06.11 (DST for 3 Research (ITPAR) (PHASE-II) Govt. of India and Indian Framework Telecommunication Ministry of Institutes) Joint Research Project entitled Foreign Affairs & From Trento “Advanced Techniques for Remote Autonomous for each Sensing Image Processing & Province of Institute Recognition” under Indo-Italian Trento, Govt. of Euro 14690 S&T Cooperation Framework Italy (Local between IIT Bombay, ISI Kolkata, Hospitality) Jadavpur University and University INR 5,89,899 of Trento, Italy (equipment)
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Title of the Project Funding Agency/ Period Complete/ Amount Institute ongoing Acted as Principal Investigator, Department of 22.01.04 Complete INR Jadavpur University for India- Science & – 90,79,400 Trento Programme for Advanced Technology, 30.06.07 (DST for 3 Research (ITPAR) Framework Govt. of India Indian Telecommunication Joint Research and Institutes) Project entitled “Advanced Ministry of and Techniques for Remote Sensing Foreign Affairs & From Trento Image Processing” under Indo- Autonomous for each Italian S&T Cooperation Province of Institute Framework between IIT Bombay, Trento, Govt. of Euro 14690 ISI Kolkata, Jadavpur University Italy (Local and University of Trento, Italy Hospitality), INR 6,16,833 (equipment)
Acted as Principal Investigator Centre for Mobile Feb. 2004 Complete INR for the Project Computing and – 9,70,000 “Study of Users’ Mobility for Communication Feb. 2006 (1st year) Resource and Service Locations (under the UGC INR Management: A Computational Scheme of 2,50,000 Intelligence Approach” University with (2nd year) Potential for Excellence) Acted as Principal Investigator AICTE, New 04.02.02 Complete INR for the Project Delhi – 4,00,000 “Application of Soft Computing in 03.02.05 Digital Image Processing with Special Reference to Medical Images”
Acted as Co-Investigator for the Department of 01.02.02 Complete INR Project Information – 29,77,000 “Development of Validated Technology, India 30.04.03 Security Processes and Methodologies for Web Based Enterprises”
Pursued Project work: “Some Jadavpur 26.04.01 ---- INR 50,000 Studies on Evolutionary University Algorithms and their Applications” Research Fund
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Patents: 0
Collaborative Programs: (7)
1. ASEAN-India Collaborative Research Program, collaboration with KMUTT Thailand and NTU Singapore. 2. Collaboration under Consortium Project on "Development of Application Oriented AI Systems" funded by MeitY , collaboration with ISI Kolkata, IIT Dhanbad, IIT Jammu 3. Collaboration under Norwegian Centre for International Cooperation in Education SIU (Norway) and UGC, collaboration with University of Stavanger Norway 4. Erasmus+ Program (coordinated by UPM, Spain) - consortium project funded by European Union 5. Erasmus Mundus Action 2 Project titled India for EU II - consortium with 6 European and 8 Indian Institutes funded by European Union 6. Erasmus Mundus Project titled India for EU - consortium with 8 European and 6 Indian Institutes funded by European Union 7. India-Trento Programme for Advanced Research (ITPAR) Framework Telecommunication Joint Research Project under Indo-Italian S&T Cooperation Framework between IIT Bombay, ISI Kolkata, Jadavpur University and University of Trento, Italy -- Phase I and Phase II
Invited Lectures: (39) International: Title of the Talk: "Semi Supervised Learning with Applications" . In APNNS/IEEE Education Forum Series: Deep Learning and Artificial Intelligence Summer School (DLAI3), Thailand, July, 2020
Title of the Talk: "Cognitive Computing" . School of Information Technology, King Mongkut’s University of Technology, Thonburi, Thailand, May, 2019
Series of lectures on a Workshop on "Neural Networks and Learning Systems" . School of Information Technology, King Mongkut’s University of Technology, Thonburi, Thailand, September 24-28, 2018
Title of the Talk: “Artificial Intelligence: Search Strategies” . Department of Petroleum Engineering, University of Stavanger, Norway, September 24, 2017
Title of the Talk: “Dimensionality Reduction of Hyperspectral Images” . Computer Science Department, Yonsei University, South Korea, July 12, 2017
Title of the Talk : "Search Strategies: Classical to Modern Approaches" . School of Information Technology, King Mongkut’s University of Technology, Thonburi, Thailand, March 31, 2016
Title of the Talk : "Artificial Neural Network based Image Analysis"
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. School of Information Technology, King Mongkut’s University of Technology, Thonburi, Thailand, March 30, 2016
Title of the Talk : "Protein Secondary Structure Prediction" . School of Bioinformatics and Systems Biology, King Mongkut’s University of Technology, Thonburi, Thailand, March 25, 2016
Title of the Talk: “Evolutionary Algorithms for Protein Ligand Docking” . University of Genoa, Italy, May 25, 2009
Title of the Talk: “Evolutionary Algorithms and an Application to Protein Ligand Docking” . New Jersey Institute of Technology, USA, April 04, 2007
Title of the Talk: “Object Extraction” . University of Palermo, Italy, June, 2004
National: Delivered lectures on "Data Clustering Methods" and "Cognitive Computation" at "Two Weeks FDP on Data Science and Big Data Analytics," Easwari Engineering College, Chennai, June 14-15, 2019. Delivered lectures at "Two Weeks FDP on Machine Learning and Internet of Things", Tripura Institute of Technology, June 03-04, 2019. Guest Lecture at Vellore Institute of Technology, Vellore, February 21, 2019. Delivered a lecture at the National Level Workshop entitled "Remote Sensing and Signal Processing" on “Semi supervised Neural Networks for Change Detection of Remotely Sensed Images,” Guwahati University, December 27, 2018. Special Classes on "Soft Computing" at Tripura Institute of Technology under Twining Plan of TEQIP III, October 11-12 and November 17-19, 2019. Delivered a lecture on "Pattern Recognition", GITAM University, Hyderabad, July 21, 2018. Delivered a lecture at an Induction Program entitled "Machine Learning and Soft Computing" on “Evolutionary Computation and its Applications,” Seemanta Engineering College, Odisha, July 09, 2018. Delivered a series of lectures on "Neural Networks and Learning Machines" at IDRBT, Hyderabad, June 04-06, 2018. Delivered a lecture at an FDP entitled "Machine Learning" on "Evolutionary Computation" at GITAM University, Hyderabad, June 03, 2018. Delivered a lecture at the National Level Workshop entitled "Data Analytics and Machine Learning" on “Genetic Algorithms and Their Applications,” GMR Institute of Technology, Rajam, A.P., April 26, 2018. Delivered a lecture on “Evolutionary Algorithms and Their Applications” at JSS Academy of Technical Education, Noida, July 29, 2017. Delivered a lecture at the National conference entitled "Machine Learning and Data Science in Internet of Things" on “Evolutionary Computation and its Applications”, Fakir Mohan University, Balasore, Odisha, India, March 26, 2017. Delivered a lecture on “Genetic Algorithms and Their Applications” at a Workshop on “Applications of Machine Learning”, NIT Silchar, India, March 22, 2017.
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Delivered a lecture on “Adversarial Search Strategies and Game Playing” at IDRBT, Hyderabad, June 2016. Delivered a lecture at an International Workshop on “Soft Computing & Applications” held at South Asian University, New Delhi, India, March 25-27, 2015. Delivered a lecture at a National Workshop on “Soft Computing and Numerical Optimization” held at Gandhi Institute of Excellent Technocrats, Bhubaneswar, India, March 17-18, 2012. Delivered a lecture at a National Workshop on “Recent Development in Soft Computing”, held at Modern Engineering and Management Studies, Balasore, India, November 19-20, 2011. Delivered a lecture on “Evolutionary Computing and Applications” at a National Seminar held at the Department of Computer Applications, RCC Institute of Information Technology, Kolkata, April 17, 2010. Delivered a lecture at a National Seminar on “Machine Learning & Soft Computing”, held at Department of CSE, K.L.N. College of Information Technology, Madurai, India, December 28, 2010. Delivered a lecture on “Evolutionary Computing and Applications” at a National Seminar held at Department of Information Science & Engineering, SJCE, Mysore, India, February 23-26, 2010. Delivered a lecture on “Protein Structure Prediction", in National Conference on Computational Biology (NCCB 2009), at Institute of Technical Education and Research, Siksha O Anushandhan University, Bhubaneswar, India, December 28-29, 2009. Delivered a lecture on “Genetic Algorithms and Their Applications” in National Conference on “Recent Trends in Secured Adhoc Network” (NSAN 2009), held at College of Engineering, Bhubaneswar, India, October 10-11, 2009. Delivered a lecture on “Information Processing and Information Technology” in a Seminar on “Recent Trends in IT, Its Challenges & Opportunities” held at Bankura Unnayani Institute of Engineering, Bankura, India, March 9, 2008. Delivered a lecture on “Protein Structure Prediction” in National Level Workshop on Algorithm for Bio-informatics (NWAB 2008), held at Institute of Technical Education and Research, Siksha O Anushandhan University, Bhubaneswar, India, March 28-30, 2008. Delivered a lecture on “Rule Mining using Genetic Algorithms” in National Conference on Data Mining & its Applications (NCDMA 2008), held at Trident Academy of Technology, Bhubaneswar, India, March 23-24, 2008. Delivered a lecture on “Artificial Intelligence : Search Strategies” in National Workshop on Artificial Intelligence (NWAI 2008), held at Eastern Academy of Science & Technology, Bhubaneswar, India, February 22-24, 2008. Delivered a lecture on “Evolutionary Algorithms and their Applications” in Workshop on Soft Computing and Its Application (WSCA 2007), held at Balasore College of Engineering and Technology, Balasore, India, December 23-25, 2007. Acted as a Resource Person and delivered lectures on “Classical AI” (on November 04, 2003) in a Refresher Course on “Cognition and Representation”, organized by the Department of Philosophy (on behalf of the UGC Academic Staff College, Jadavpur University), November 04-25, 2003.
Membership of Learned Societies: 0
Orientation/ Refresher/ QIP Course attended/Organized -- 0
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Seminar/ Conference/ Workshop: (35) Attended "MIU Annual Workshop on Machine Intelligence and Applications 2019", Kolkata, March 29, 2019. Attended 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017, Kolkata, December 2017. Attended 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS) July 9-11, 2015. Jadavpur University, Kolkata Attended 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017, Kolkata, December 2013. Attended International Conference on Recent Trends in Information Systems, (ReTIS 2011), Kolkata, December 21-23, 2011. Attended 7th International Conference on Information Systems Security, (ICISS 2011), Kolkata, December 17-19, 2011. Attended 2nd National Conference on Recent Trends in Information Systems, (ReTIS 2008), Kolkata, February 7-9, 2008. Attended 2nd International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007, Kolkata, December 2007. Attended International Conference on Advances in Pattern Recognition, ICAPR 2007, Kolkata, January 2007. Attended 5th Asian International Mobile Computing Conference AMOC 2007, Kolkata, January 2007. Attended 1st National Conference on Recent Trends in Information Systems, (ReTIS 2006), Kolkata, July 14-15, 2006. Attended 4th Asian International Mobile Computing Conference AMOC 2006, Kolkata, January, 2006. Attended One day Seminar on “Wireless and Mobile Computing”, Kolkata, July 01, 2005. Attended IEEE one day Workshop on “Wireless Networking and Mobile Computing (WNMC 2005)”, (organized by IEEE Communications Society, Calcutta Chapter), Kolkata, March 05, 2005. Attended One day Seminar on “Enterprise Information Security Management – Secure’05”, Kolkata, February 18, 2005. Presented a paper in International Conference on Communications, Devices and Intelligent Systems (CODIS 2004), Kolkata, January 2004. Attended Sixth International Workshop on Distributed Computing (IWDC 2004), Indian Statistical Institute, Kolkata, December 27-30, 2004. Attended Workshop on “Mobile Computing & Communication”, CSE Department of JU (organized by CMCC, JU), July 05-06, 2004. Attended Symposium on “Recent Trend in Bioinformatics Data Mining” (organized by CSE Department, JU and IEEE GOLD affinity Group of IEEE Calcutta Section), April 02, 2004. Attended International Workshop on Distributed Computing (IWDC 2003), Kolkata, December 2003. Attended IEEE Silver Jubilee Celebration Program, Kolkata, (organized by Jadavpur University and IEEE Calcutta Chapter), November 06-07, 2003. Attended 28th Annual Convention and Exhibition of IEEE India Council (IEEE ACE 2002) (organized by IEEE Calcutta Section), Kolkata, December 20-21, 2002. Attended International Workshop on Distributed Computing (IWDC 2002), Calcutta University, Kolkata, December, 2002.
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Attended Winter School on "Soft Computing Approach to Pattern Recognition and Image Processing", Kolkata, India, December 2-13, 2002 organized by CIMPA- UNESCO-INDIA. Attended One day awareness Seminar on “Enterprise Information System Security (Enterprise Suraksha- 2002)”, Kolkata, (organized by Center for Distributed Computing, JU and Department of Information Technology), November 28, 2002. Presented a paper in International Conference on Fuzzy Systems, AFSS 2002, Kolkata, February 03-06, 2002. Attended International Workshop on Distributed Computing (IWDC 2001), Calcutta University, Kolkata, December 27-29, 2001. Attended Summer School on “Partial Differential Equations and Computer Vision”, Beijing, China, May 3-14, 1999 organized by CIMPA-UNSA-UNESCO-CHINA. Attended International Workshop on Image and Shape Analysis, Indian Statistical Institute, Calcutta, January 08-10, 1999. Attended National Workshop on Distributed Computing, Jadavpur University, Calcutta, January 07-08, 1999. Presented a paper in International Conference on Computers and Devices for Communication (CODEC 98), Calcutta, January, 1998. Attended International Workshop on Soft Computing and Intelligent Systems, Indian Statistical Institute, Calcutta, January 12-13, 1998. Attended 1995 IEEE International Conference on Neural Networks (IEEE ICNN'95), Perth, Australia, November 27 – December 01, 1995. Attended Third Australian and New Zealand Conference on Intelligent Information Systems (ANZIIS'95), Perth, Australia, November 27, 1995. Presented a paper in 1995 IEEE International Conference on Evolutionary Computation (IEEE ICEC'95), Perth, Australia, November 29 – December 01, 1995. Presented a paper titled "A Connectionist Model for Graytone Thinning", IEEE ICNN'95 on behalf of J. Basak, N.R. Pal, and P.S. Patel at Perth, Australia. Presented a paper titled " Cluster Detection using Neural Networks", IEEE ICNN'95 on behalf of N. Chowdhury, C.A. Murthy, and S.K. Pal at Perth, Australia. Presented a paper titled "A Model for Mixed Category Perception Based on Absolute Feature Values", IEEE ICNN'95 on behalf of J. Basak and S.K. Pal at Perth, Australia.
Session Chaired: (3) CoDS-COMAD 2019, PReMI 2017, DLAI 3 (Panelist)
Professional Society Activity: Member, Asia Pacific Neural Network Society Member, Institute of Electrical and Electronics Engineers (IEEE) Vice Chair- IEEE GRSS Kolkata Chapter (since January 2019)
Consultancy Work/ Testing: 0
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Other Notable Activities:
Associate Editor - CAAI Transactions on Intelligence Technology (from IET) Associate Editor - Heliyon Computer Science (a Cell Press Journal) External Expert - Master/ Ph. D. Thesis Examination Selection committee member Doctoral committee member of other Institutes Technical/Programme/ Advisory Committee Member/Track Chair/ Session Chair/ Publicity Chair / Panelist of many national and international conferences
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