My Specialization: Linux, DBMS, C++, Algorithm, Cloud Computing, Matlab and Image Processing.

DIBYA's CV

Ph.D. in Computer Science (Research Works carry More than 200 Citations during Ph.D.)
Post Graduation in Information Technology(University 1st Rank Holder)
Graduation Honors in Mathematics(University Distinction Holder)
Qualified GATE CS/IT 2012, GATE CS/IT 2016 ,UGC SET COMPUTER SCIENCE.


More than 5 years Teaching in University PG Level.
Research Work Specialization: Image Processing And Machine Learning.
Google Scholar: (concealed information)
ResearchGate: (concealed information)
LinkedIn: (concealed information)
Teaching Area Specialization: Unix/Linux, DBMS, Cloud Computing, Compiler Design, Matlab, Image Processing, OOP using C++, Discrete Mathematics and Java.
Certifications: Certifications on successful completion of the courses:
1) “Fundamentals of Digital Image and Video Processing” conducted by Northwestern University, United States.
2) “Image and Video Processing: From Mars to Hollywood with a stop at the hospital” conducted by Duke University, United States.
Research Papers Publication:
1. Dibya Jyoti Bora , R.S. Thakur ,“A Local Type-2 Fuzzy Set Based Technique for HE Stain Image Enhancement”, International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience Publishers(Communicated).
2. Dibya Jyoti Bora, “An Efficient Innovative Approach Towards Color Image Enhancement”, International Journal of Information Retrieval Research (IJIRR) (ESCI Indexed), DOI: 10.4018/IJIRR.(concealed information)
3. Dibya Jyoti Bora, “An Ideal Approach for Medical Color Image Enhancement”, Springer’s Advances Intelligent Systems and Computing (AISC).(Scopus Indexed), pp 351-361.
4. Dibya Jyoti Bora, R.S. Thakur, “An Efficient Technique for Medical Image Enhancement Based on Interval Type-2 Fuzzy Set Logic”, Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, pp 667-678,vol 710. Springer, Singapore (Scopus Indexed).
5. Anil Kumar Gupta, Dibya Jyoti Bora, Fayaz Ahmad Khan, “Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative Approach”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Volume 3, Issue1, ISSN : 2456-3307, pp. 968-975. (UGC Approved).
6. Dibya Jyoti Bora, “Importance Of Image Enhancement Techniques In Color Image Segmentation: A Comprehensive And Comparative Study”, Indian J.Sci.Res. 15 (1): 115-131, 2017( ICI Indexed).
7. Dibya Jyoti Bora, “An Optimal Color Image Edge Detection Approach”, IEEE International Conference on Trends in Electronics and Informatics, ICEI 2017, pp. 342-347.
8. Dibya Jyoti Bora, “AERSCIEA: An Efficient and Robust Satellite Color Image Enhancement Approach”, Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Gopeshwar, ACSIS, pp. 3–14.
9. Dibya Jyoti Bora, “A Novel Approach for Color Image Edge Detection Using Multidirectional Sobel Filter on HSV Color Space ”, International Journal of Computer Sciences and Engineering, 5, Issue-2, pp.154-159, Feb 2017. DPI:16.10022.IJCSE.V5.I2.1267.
10. Dibya Jyoti Bora, “Performance Comparison of K-Means Algorithm and FCM Algorithm with Respect to Color Image Segmentation”, International Journal of Emerging Technology and Advanced Engineering, Volume 7, Issue 8, August 2017, pp. 460-470.
11. Dibya Jyoti Bora, Anil Kumar Gupta, “AERASCIS: An Efficient and Robust Approach for Satellite Color Image Segmentation”, IEEE International Conference on Electrical Power and Energy Systems (ICEPES), Maulana Azad National Institute of Technology, Bhopal, India. Dec 14-16, 2016. (Included in IEEE Xplore) (Scopus Indexed)
12. Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “A New Efficient Watershed Based Color Image Segmentation Approach”, IEEE Proceedings of 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), 2016, pp. 134-144. (Included in IEEE Xplore) (Scopus Indexed)
13. Dibya Jyoti Bora, Anil Kumar Gupta, “A Novel Color Image Segmentation Approach Based On K-Means Clustering with Proper Determination of the Number of Clusters and Suitable Distance Metric”, International Journal of Computer Science & Engineering Technology (IJCSET), Vol. 7 No. 09 Sep 2016, pp. 395-409.
14. Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “Color Image Segmentation Using An Efficient Fuzzy Based Watershed Approach”, Signal & Image Processing: An International Journal (SIPIJ), Vol.6, No.5, October 2015,pp.15-34.
15. Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation”, International Journal of Emerging Technology and Advanced Engineering, Volume 5, Issue 2, February 2015, pp. 192-203.
16. Dibya Jyoti Bora, Anil Kumar Gupta, “A New Efficient Color Image Segmentation Approach Based on Combination of Histogram Equalization with Watershed Algorithm”, International Journal of Computer Sciences and Engineering Vol.-4(6), Jun 2016, E-ISSN: 2347-2693, pp.156-167.
17. Dibya Jyoti Bora, Anil Kumar Gupta,Fayaz Ahmad Khan, “An Efficient Approach toward Color Image Segmentation with Combined Effort of Soft Clustering and Region Based Techniques using L Channel of LAB Color Space”, International Journal of Computer Applications (0975 – 8887) Volume 128 – No.12, October 2015, pp. 39-45.
18. Dibya Jyoti Bora, Anil Kumar Gupta, “A Novel Approach towards Clustering Based Image Segmentation”, International Journal of Emerging Science and Engineering (IJESE,) ISSN: 2319–6378, Volume-2 Issue-11, September 2014, pp. 6-10.
19. Dibya Jyoti Bora, Anil Kumar Gupta, “A New Approach towards Clustering based Color Image Segmentation”, International Journal of Computer Applications (0975 – 8887) Volume 107 – No 12, December 2014, pp. 23-30
20. Dibya Jyoti Bora, Anil Kumar Gupta, “Clustering Approach towards Image Segmentation: An Analytical Study”, International Journal of Research in Computer Applications and Robotics, Vol.2, Issue7 (July 2014), ISSN 2320-7345, pp. 115-124.
21. Dibya Jyoti Bora, Anil Kumar Gupta, “Impact of Exponent Parameter Value for the Partition Matrix on the Performance of Fuzzy C Means Algorithm”, International Journal of Scientific Research in Computer Science Applications and Management Studies, Volume 3, Issue 3 (May 2014), ISSN: 2319 – 1953
22. Dibya Jyoti Bora, Anil Kumar Gupta, “A Comparative study Between Fuzzy Clustering Algorithm and Hard clustering Algorithm”, International Journal of Computer Trends and Technology (IJCTT) V10(2):108-113, Apr 2014. ISSN:2231-2803
23. Dibya Jyoti Bora, Anil Kumar Gupta, “Effect of Different Distance Measures on the Performance of K-Means algorithm: An Experimental Study in Matlab” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2) ,2014, 2501-2506,ISSN: 0975-9646
24. Dibya Jyoti Bora, Anil Kumar Gupta, “Performance Analysis Of Different Partition Clustering Algorithms”,NCAC 2013
25. Fayaz Ahmad Khan, Dibya Jyoti Bora, Anil Kumar Gupta, “An Efficient Heuristic Based Test Suite Minimization Approach”, Indian Journal of Science and Technology, Vol 10(29), DOI: 10.17485/ijst/2017/v10i29/106374, August 2017, pp. 1-8.
26. Fayaz Ahmad Khan, Anil Kumar Gupta and Dibya Jyoti Bora, “Profiling of Test Cases with Clustering Methodology”, International Journal of Computer Applications 106(14), November 2014,pp.32-37.
27. Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “Test Suite Minimization for statement Coveragetesting using K-Means Clustering Approach”,International Conference on Emerging trends in information technology, pp. 26-31, March-2015.
28. Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “An Efficient Approach to Test Suite minimization for 100% Decision coverage criteria using Kmeans Clustering Approach”, IJAPRR International Peer Reviewed Refereed Journal, Vol. II, Issue VII, 2015,pp. 18-26.
29. Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “An Efficient Technique to Test Suite Minimization using Hierarchical Clustering Approach”, International Journal of Emerging Science and Engineering (IJESE)ISSN: 2319–6378, Volume-3 Issue-11, September 2015,pp. 1-9.