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Faculty-Details

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Dr. Falguni  Chakraborty

Assistant Professor

About

falguni.durgapur@gmail.com

1979-12-12

2008-09-20

Masters of Computer Applications

4D/2 S N BOSE B -ZONE

https://vidwan.inflibnet.ac.in/profile/193700

Dr Falguni Chakraborty obtained his MCA degree from West Bengal University of Technology, currently known as Maulana Abul Kalam Azad University of Technology, West Bengal, in 2004. He received his M.Tech degree from the National Institute of Technology Durgapur (NIT Durgapur) in 2014, followed by his Ph.D. degree from the same institute in 2021 in the CSE department. I have 18 years of experience, three years in the IT industry and 15 Years in teaching at this institute.

Computer Vision, Optimization, Evolutionary Algorithms

Qualifications

Educational Qualifications
  • Ph.D
  • NIT, DURGAPUR - 2021
  • M.Tech
  • NIT, DURGAPUR - 2014
  • MCA
  • WBUT(MAKAUT) - 2004
Teaching and R & D experience
Teaching Research Industry
15 7 3

RDBMS, Operating System

Computer Vision, Optimization, Evolutionary Algorithms

Activities

Publications

Journal
Year
Journal DOI/Link/Web Link/UGC Link
2021 F. Chakraborty, P. K. Roy & D. Nandi, “A novel chaotic symbiotic organisms search optimization in multilevel image segmentation”, Soft Computing, Springer, Vol. 25, No. 10, pp. 6973–6998, 2021. (Impact Factor(4.1) DOI Link Web Link
2019 F. Chakraborty, P. K. Roy and D. Nandi, “Oppositional Symbiotic Organisms Search Optimization for Multilevel Thresholding of Color Image”, Applied Soft Computing, Elsevier, Vol. 82, pp. 105577, 2019. (Impact Factor(8.7)) DOI Link Web Link
2019 F. Chakraborty, P. K. Roy and D. Nandi, “Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding”, Evolutionary Intelligence, Springer, Vol. 12, No. 3, pp. 445-467, 2019.(Impact Factor(2.6) DOI Link
2021 F. Chakraborty, P. K. Roy and D. Nandi, “Elephant herding optimization for multi-level image thresholding”, International Journal of Applied Metaheuristic Computing, IGI Global, Vol. 11, No. 4.(Impact Factor(0.7) DOI Link
2020 F. Chakraborty, P.K. Roy, and D. Nandi, "Symbiotic organisms search optimization for multilevel image thresholding," International Journal of Swarm Intelligence Research(IJSIR), IGI Global, 2020, v.11, n.2, pp.31-61. ISSN: 1947-926(Impact Factor(1.1) DOI Link
2024 R. Chatterjee et al., "FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm," in IEEE Access, vol. 12, pp. 20396-20408, 2024, doi: 10.1109/ACCESS.2024.3357993.(Impact Factor:3.9) DOI Link Web Link
Conference
Year
Conference National/International DOI/Link/Web Link/UGC Link
2019 F. Chakrabrty, P. K. Roy, D.Nandi, “Novel chaotic elephant herding optimization for multilevel thresholding of color image”, Soft Computing: Theories and Applications, 2019 (SoCTA2019), NIT, Patna, December 27-29, 2019. International DOI Link
2023 Mukherjee, R.P., Chatterjee, R.K., Chakraborty, F. (2024). ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1955. Springer, Cham. International DOI Link
2012 F. Chakraborty, R. Ganguly, An Approach: to Find The Similar Color Based Pictures From a Multimedia Database, International Conference on Advances in Computer Science and Electronics Engineering(CSEE 2012),February,2012,pp.164 - 167,International Conference,10.15224/978-981-07-1403-1-422. International DOI Link
2012 R. Ganguly, F. Chakraborty, An Approach to Develop a Simple Algorithm: Retrieval of Top k Objects from an Unsorted Multimedia Database, International Conference on Advanced Computing, Communication and Networks(CCN 2011),pp.293 296,International Conference International
2024 Chakraborty, F., Sarkar, T., Roy, P.K., Guha, D. (2024). Quasi-oppositional-Based Whale Optimization Applied to Multilevel Image Thresholding.Soft Computing: Theories and Applications. SoCTA 2023. Lecture Notes in Networks and Systems, vol 971. Springer, Singapore. https://doi.org/10.1007/978-981-97-2089-7_20 International DOI Link Web Link

Participations

Participation In Faculty Development Programmes
SL. No. Name Type Duration
1 Cognitive Load Theory and Application Online 21/12/2021 to 25/12/2021
2 Artificial Intelligence Online 16th January to 20th January 2023
Organization of events (Dr. B. C. Roy Engineering College)
SL. No. Description
1 Organized online FDP on "Machine learning and Deep learning approach towards Computer Vision" Technically sponsored by IEEE Kolkata section on 28th march to 02nd April 2022(one day break on 31st March)

Thesis Supervised

Patent

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