Dr. Siddhartha Bhattacharyya
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Dr. Siddhartha Bhattacharyya

Associate Professor
RCC Institute of Information Technology, India

Highest Degree
Ph.D. in Computer Science and Engineering from Jadavpur University, India

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Biography

Dr. Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is currently an Associate Professor in Information Technology of RCC Institute of Information Technology, Kolkata, India. Prior to this, he was an Assistant Professor in Computer Science and Information Technology of University Institute of Technology, The University of Burdwan, India. He was a Lecturer in Information Technology of Kalyani Government Engineering College, India. He is a co-author of a book. He has published 37 research articles in journals as well as 79 papers in Seminars/Symposia/Workshop. He was the member of the Young Researchers Committee of the WSC 2008 Online World Conference on Soft Computing in Industrial Applications. He was the convener of the AICTE-IEEE National Conference on Computing and Communication Systems (CoCoSys-09) in 2009. He has been the member of the organizing and technical program committees of several national and international conferences. He is the Assistant Editor of International Journal of Pattern Recognition Research since 2010. He is the member of the editorial board of International Journal of Engineering, Science and Technology and the member of the editorial advisory board of HETC Journal of Computer Engineering and Applications. His research interests include Soft Computing, Pattern Recognition and Quantum Computing. Dr. Bhattacharyya is a member of IEEE, IRSS and IAENG. He is a life member of OSI and ISTE, India.

Area of Interest:

Computer Sciences
100%
Soft Computing
62%
Pattern Recognition
90%
Image Processing
75%
Video Processing
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Bhaumik, H., S. Bhattacharyya and S. Chakraborty, 2019. A vague set approach for identifying shot transition in videos using multiple feature amalgamation. Applied Soft Comput., 75: 633-651.
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  2. Banik, D., A. Ekbal, P. Bhattacharyya and S. Bhattacharyya, 2019. Assembling translations from multi-engine machine translation outputs. Applied Soft Comput., 78: 230-239.
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  3. Rizk-Allah, R.M., A.E. Hassanien and S. Bhattacharyya, 2018. Chaotic crow search algorithm for fractional optimization problems. Applied Soft Comput., 71: 1161-1175.
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  4. Rizk-Allah, R.M., A.E. Hassanien and S. Bhattacharyya, 2018. Chaotic crow search algorithm for fractional optimization problems. Applied Soft Comput., (In Press). 10.1016/j.asoc.2018.03.019.
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  5. Das, A.K., S. Sengupta and S. Bhattacharyya, 2018. A group incremental feature selection for classification using rough set theory based genetic algorithm. Applied Soft Comput., 65: 400-411.
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  6. Chakraborty, B., S. Bhattacharyya and S. Chakraborty, 2018. Generative model based video shot boundary detection for automated surveillance. Int. J. Ambient Comput. Intell., 9: 69-95.
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  7. Ray, J. and S. Bhattacharyya, 2017. Particle swarm optimization technique for optimizing conditional value-at-risk based portfolio. Int. J. Comput. Sci. Eng., 5: 77-85.
  8. Konar, D., S. Bhattacharyya, K. Sharma, S. Sharma and S.R. Pradhan, 2017. An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. Applied Soft Comput., 53: 296-307.
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  9. Islam, S.M., M. Banerjee, S. Bhattacharyya and S. Chakraborty, 2017. Content-based image retrieval based on multiple extended fuzzy-rough framework. Applied Soft Comput., 57: 102-117.
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  10. Dey, S., S. Bhattacharyya and U. Maulik, 2017. Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding. Applied Soft Comput., 56: 472-513.
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  11. Pal, P., S. Bhattacharyya and A. Mani, 2016. Pure color object extraction from a noisy state using quantum version parallel self organizing neural network. Int. J. Comput. Applic., 38: 164-186.
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  12. Konar, D., S. Bhattacharyya, B.K. Panigrahi and M.K. Ghose, 2016. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture. In: Quantum Inspired Computational Intelligence: Research and Applications, Bhattacharyya, S., U. Maulik and P. Dutta (Eds.). Morgan-Kaufmann, USA., pp: 149-205.
  13. Konar, D., S. Bhattacharyya, B.K. Panigrahi and K. Nakamatsu, 2016. A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) architecture for binary object extraction from a noisy perspective. Applied Soft Comput., 46: 731-752.
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  14. Islam, S.M., M. Banerjee and S. Bhattacharyya, 2016. Dealing with Higher Dimensionality and Outliers in Content-Based Image Retrieval. In: Intelligent Multidimensional Data Clustering and Analysis, Bhattacharyya, S., S. De, I. Pan and P. Dutta (Eds.). IGI Global, USA., pp: 109-134.
  15. Dey, S., S. Bhattacharyya and U. Maulik, 2016. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding. In: Quantum Inspired Computational Intelligence: Research and Applications, Bhattacharyya, S., U. Maulik and P. Dutta (Eds.). Morgan-Kaufmann, USA., pp: 207-232.
  16. Dey, S., S. Bhattacharyya and U. Maulik, 2016. New quantum inspired meta-heuristic techniques for multi-level colour image thresholding. Applied Soft Comput., 46: 677-702.
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  17. De, S., S. Bhattacharyya and P. Dutta, 2016. Automatic magnetic resonance image segmentation by fuzzy intercluster hostility index based genetic algorithm: An application. Applied Soft Comput., 47: 669-683.
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  18. Bhaumik, H., S. Bhattacharyya, M.D. Nath and S. Chakraborty, 2016. Hybrid soft computing approaches to content based video retrieval: A brief review. Applied Soft Comput., 46: 1008-1029.
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  19. Bhaumik, H., S. Bhattacharyya and S. Chakraborty, 2016. Content Coverage and Redundancy Removal in Video Summarization. In: Intelligent Analysis of Multimedia Information, Bhattacharyya, S., H. Bhaumik, S. De and G. Klepac (Eds.). IGI Global, Hershey, USA., pp: 352-374.
  20. Bhaumik, H., M. Chakraborty, S. Bhattacharyya and S. Chakraborty, 2016. Detection of Gradual Transition in Videos: Approaches and Applications. In: Intelligent Analysis of Multimedia Information, Bhattacharyya, S., H. Bhaumik, S. De and G. Klepac (Eds.). IGI Global, Hershey, USA., pp: 282-318.
  21. Bhattacharyya, S., P. Dutta and U. Maulik, 2016. Preface. Applied Soft Comput., 46: 523-526.
  22. Ray, J. and S. Bhattacharyya, 2015. Value-at-risk based portfolio allocation using particle swarm optimization. Int. J. Comput. Sci. Eng., 3: 1-9.
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  23. Dey, S., S. Bhattacharyya and U. Maulik, 2015. Quantum Behaved Swarm Intelligent Techniques for Image Analysis: A Detailed Survey. In: Handbook of Research on Swarm Intelligence in Engineering, Bhattacharyya, S. and P. Dutta (Eds.). IGI Global, Hershey, PA., USA., pp: 1-39.
  24. Dey, S., S. Bhattacharyya and U. Maulik, 2015. Optimum Gray Level Image Thresholding using a Quantum Inspired Genetic Algorithm. In: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications, Bhattacharyya, S., P. Banerjee, D. Majumdar and P. Dutta (Eds.). IGI Global, Hershey, USA., pp: 349-377.
  25. De, S., S. Bhattacharyya and S. Chakraborty, 2015. Multilevel and Color Image Segmentation by NSGA II Based OptiMUSIG Activation Function. In: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications, Bhattacharyya, S., P. Banerjee, D. Majumdar and P. Dutta (Eds.). IGI Global, Hershey, USA., pp: 321-348.
  26. De, S. and S. Bhattacharyya, 2015. Color Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG Activation Function: An Application. In: Hybrid Soft Computing Approaches: Research and Applications, Bhattacharyya, S., P. Dutta and S. Chakraborty (Eds.). Springer India Ltd., New Delhi, ISBN: 978-81-322-2543-0, pp: 185-214.
  27. Chandra, S. and S. Bhattacharyya, 2015. Quantum Inspired Swarm Optimization for Multi-Level Image Segmentation Using BDSONN Architecture. In: Handbook of Research on Swarm Intelligence in Engineering, Bhattacharyya, S. and P. Dutta (Eds.). IGI Global, Hershey, PA., USA., pp: 286-326.
  28. Bhaumik, H., S. Bhattacharyya and S. Chakraborty, 2015. Redundancy Elimination in Video Summarization. In: Image Feature Detectors Foundations, Innovations and Applications, Awad, A.I. and M. Hassaballah (Eds.). Springer International Publishing, Cham, Switzerland, ISBN: 978-3-319-28852-9, pp: 173-202.
  29. Bhattacharyya, S., S. Bhattacharjee and N.K. Mondal, 2015. A Quantum Backpropagation Multilayer Perceptron (QBMLP) for predicting iron adsorption capacity of calcareous soil from aqueous solution. Applied Soft Comput., 27: 299-312.
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  30. Mondal, N.K., R. Bhaumik, B. Das, P. Roy, J.K. Datta, S. Bhattacharyya and S. Bhattacharjee, 2014. Neural network model and isotherm study for removal of phenol from aqueous solution by orange peel ash. Applied Water Sci., 5: 271-282.
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  31. Dey, S., S. Bhattacharyya and U. Maulik, 2014. Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholding. Swarm Evol. Comput., 15: 38-57.
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  32. Dey, S., I. Saha, S. Bhattacharyya and U. Maulik, 2014. Multi-level thresholding using quantum inspired meta-heuristics. Knowledge-Based Syst., 67: 373-400.
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  33. Bhattacharyya, S., P. Pal and S. Bhowmick, 2014. Binary image denoising using a quantum multilayer self organizing neural network. Applied Soft Comput., 24: 717-729.
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  34. Bhattacharyya, S., P. Pal and S. Bhowmick, 2014. A quantum multilayer self organizing neural network for binary object extraction from a noisy perspective. Int. J. Comput. Syst. Network Technol., 3: 1-13.
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  35. Dey, S., S. Bhattacharyya and U. Maulik, 2013. Chaotic Map Model-Based Interference Employed in Quantum-Inspired Genetic Algorithm to Determine the Optimum Gray Level Image Thresholding. In: Global Trends in Intelligent Computing Research and Development, Tripathy, B.K. and D.P. Acharjya (Eds.). Chapter 4, IGI Global, USA., ISBN-13: 978-1466649361, pp: 68-110.
  36. De, S., S. Bhattacharyya and S. Chakraborty, 2013. Efficient Color Image Segmentation by a Parallel Optimized (ParaOptiMUSIG) Activation Function. In: Global Trends in Intelligent Computing Research and Development, Tripathy, B.K. and D.P. Acharjya (Eds.). Chapter 2, IGI Global, USA., ISBN-13: 978-1466649361, pp: 19-50.
  37. Mondal, K., P. Dutta and S. Bhattacharyya, 2012. Fuzzy logic based gray image extraction and segmentation. Int. J. Scient. Eng. Res., 3: 1-14.
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  38. Dutta, P., S. Bhattacharyya and P. Bhattacharya, 2012. Evolutionary Computing: Principles and Applications to Portfolio Optimization. In: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions: Innovations and Solutions, Khan, M.A. and A.Q. Ansari (Eds.). Chapter 12, IGI Global, Hershey, PA., USA., ISBN-13: 9781466602953, pp: 271-295.
  39. De, S., S. Bhattacharyya and S. Chakraborty, 2012. Multilevel Image Segmentation by a Multiobjective Genetic Algorithm Based OptiMUSIG Activation Function. In: Handbook of Research on Computational Intelligence for Engineering, Science and Business, Bhattacharyya, S. and P. Dutta (Eds.). Chapter 5, IGI Global, USA., ISBN-13: 978-1466625181, pp: 122-162.
  40. De, S., S. Bhattacharyya and S. Chakraborty, 2012. Color image segmentation using parallel OptiMUSIG activation function. Applied Soft Comput., 12: 3228-3236.
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  41. Chakraborty, B., S. Bhattacharyya and S. Chakraborty, 2012. A Comparative Study of Unsupervised Video Shot Boundary Detection Techniques Using Probabilistic Fuzzy Entropy Measures. In: Handbook of Research on Computational Intelligence for Engineering, Science and Business, Bhattacharyya, S. and P. Dutta (Eds.). Chapter 9, IGI Global, USA., ISBN-13: 978-1466625181, pp: 228-240.
  42. Chakraborty, B., S. Bhattacharyya and P. Dutta, 2012. An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content. In: Handbook on Soft Computing for Video Surveillance, Pal, S.K., A. Petrosino and L. Maddalena (Eds.). Chapter 9, CRC Press/Taylor and Francis, Boca Raton, FL., USA., ISBN-13: 9781439856840, pp: 237-254.
  43. Bhattacharyya, S., U. Maulik and P. Dutta, 2012. A parallel Bi-Directional Self-Organizing Neural Network (PBDSONN) architecture for color image extraction and segmentation. Neurocomputing, 86: 1-23.
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  44. Bhattacharyya, S. and P. Dutta, 2012. Fuzzy Logic: Concepts, System Design and Applications to Industrial Informatics. In: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions: Innovations and Solutions, Khan, M.A. and A.Q. Ansari (Eds.). Chapter 3, IGI Global, Hershey, PA., USA., ISBN-13: 9781466602953, pp: 33-71.
  45. Bhattacharjee, S., S. Bhattacharyya and N.K. Mondal, 2012. Quantum Backpropagation Neural Network Approach for Modeling of Phenol Adsorption from Aqueous Solution by Orange Peel Ash. In: Handbook of Research on Computational Intelligence for Engineering, Science and Business, Bhattacharyya, S. and P. Dutta (Eds.). Chapter 25, IGI Global, USA., ISBN-13: 978-1466625181, pp: 649-671.
  46. De, S., S. Bhattacharyya and P. Dutta, 2011. Efficient grey-level image segmentation using an optimised MUSIG (OptiMUSIG) activation function. Int. J. Parallel Emergent Distrib. Syst., 26: 1-39.
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  47. Bhattacharyya, S., U. Maulik and S. Bandyopadhyay, 2011. Soft Computing and its Applications. In: Kansei Engineering and Soft Computing: Theory and Practice, Dai, Y., B. Chakraborty and M. Shi (Eds.). Chapter 1, IGI Global, Hershey, PA., USA., ISBN-13: 9781616927998, pp: 1-30.
  48. Bhattacharyya, S., U. Maulik and P. Dutta, 2011. Multilevel image segmentation with adaptive image context based thresholding. Applied Soft Comput., 11: 946-962.
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  49. Bhattacharyya, S., 2011. Neural Networks: Evolution, Topologies, Learning Algorithms and Applications. In: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, Mago, V. and N. Bhatia (Eds.). Chapter 24, IGI Global, Hershey, PA., USA., ISBN-13: 9781613504307, pp: 450-498.
  50. Bhattacharyya, S., 2011. A brief survey of color image preprocessing and segmentation techniques. J. Pattern Recognit. Res., 6: 120-129.
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  51. De, S., S. Bhattacharyya and P. Dutta, 2009. Multilevel Image Segmentation using OptiMUSIG Activation Function with Fixed and Variable Thresholding: A Comparative Study. In: Applications of Soft Computing: From Theory to Praxis, Mehnen, J., M. Koppen, A. Saad and A. Tiwari (Eds.). Springer-Verlag, Berlin, Germany, ISBN-13: 9783540896197, pp: 53-62.
  52. Bhattacharyya, S., U. Maulik and P. Dutta, 2009. High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field. Applied Soft Comput., 9: 126-134.
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  53. Bhattacharyya, S., U. Maulik and P. Dutta, 2008. A pruning algorithm for efficient image segmentation with neighborhood neural networks. IAENG Int. J. Comput. Sci., 35: 191-200.
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  54. Bhattacharyya, S., P. Dutta and U. Maulik, 2008. Self Organizing Neural Network (SONN) based gray scale object extractor with a Multilevel Sigmoidal (MUSIG) activation function. Found. Comput. Decis. Sci., 33: 46-50.
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  55. Bhattacharyya, S., P. Dutta, U. Maulik and P.K. Nandi, 2007. Multilevel activation functions for true color image segmentation using a self supervised Parallel Self Organizing Neural Network (PSONN) architecture: A comparative study. Int. J. Comput. Sci., 2: 9-21.
  56. Bhattacharyya, S., P. Dutta and U. Maulik, 2007. Binary object extraction using Bi-Directional Self-Organizing Neural Network (BDSONN) architecture with fuzzy context sensitive thresholding. Pattern Anal. Applic., 10: 345-360.
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  57. Bhattacharyya, S., P. Dutta and D.D. Majumder, 2007. A Parallel Self-Organizing Neural Network (SONN) based Color Object Extractor using MUSIG Activation Function with CONSENT. In: Fuzzy Logic and its Application in Technology and Management, Chakraborty, D., S. Nanda and D.D. Majumder (Eds.). Narosa Publishing House, New Delhi, India, ISBN-13: 9788173197338, pp: 206-213.
  58. Bhattacharyya, S., P. Dutta, U. Maulik and P.K. Nandi, 2006. A self supervised bi-directional neural network (BDSONN) architecture for object extraction guided by beta activation function and adaptive fuzzy context sensitive thresholding. Int. J. Intell. Syst. Technol., 1: 345-365.
  59. Bhattacharyya, S. and P. Dutta, 2006. Designing pruned neighborhood neural networks for object extraction from noisy background. Found. Comput. Decis. Sci., 31: 105-134.
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