Mr. Dibya Jyoti Bora is a researcher in the field of Image Processing and Machine Learning, particularly Cluster Analysis and Image Segmentation. His research works solve many problems related to Color Image Segmentation process. He has contributed more than 12 research papers as his 1st authorship in international journals and national and international conferences including IEEE. Most of them are highly cited and applied in different technical fields including agriculture and medical imaging areas. As per academic details, he got distinction in his Graduation with honors in Mathematics, University 1st rank in PG(Information Technology) and currently pursuing Ph.D. in Computer Science(Thesis is at the submission stage). He has qualified several lectureship ability tests including GATE CS/IT two times, UGC SET in Computer Science and Applications. He has 4 years of teaching experience in university PG level. He is currently teaching in the Department of Computer Science And Applications, Barkatullah University, Bhopal for PG students of CS and IT. Previously, he taught in the Computer Application Department, NEHU. He has two certifications in Image Processing Specialization, one from Duke University and the other from Northwestern University.

1. 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.

2. 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.

3. 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. 

4. 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. 

5. 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. 

1. "Hands on Big Data with Hadoop”, 01 - 05 Nov’ 2014, MANIT Bhopal. 

2. “National Workshop on Remote Sensing and GIS”, One Week Workshop Organized By Department of Computer Science, Gauhati University, 24-30 October,2016.

3.  “Artificial Intelligence in Engineering Applications”,One Week STP, Organized By DICE,NSIT,Delhi,26-30 December,2016

 4. “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.

5. “AERASCIS : An Efficient and Robust Approach forSatellite 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.