Mr. Dipto Barman

Designation:

Lecturer( Contract)

Specialization:

Knowledge based System and Artificial intelligence

Email:

dipto.barman@thapar.edu

Education:

Master Of Science: Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taiwan (2019) Specialization in Knowledge Based System and Artificial Intelligence. Bachelor of Technology: Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, India. (2016)

Publication List: (SCI: 4)

  1. S. M. Chen and D. Barman, “Adaptive fuzzy interpolative reasoning based on similarity measures of polygonal fuzzy sets and novel move and transformation techniques,” Information Sciences, vol. 489, pp. 303-315, July 2019.
  2. S. M. Chen, X. Y. Yao, and D. Barman, “Adaptive weighted fuzzy rule interpolation based on ranking values and similarity measures of rough fuzzy sets,” Information Sciences, vol. 488, pp. 93-110, July 2019.
  3. S. M. Chen, D. Barman, “Adaptive weighted fuzzy interpolative reasoning based on representative values and similarity measures of interval type-2 fuzzy sets,” Information Sciences, vol. 478, pp. 167-185, April 2019.
  4. P. Thakur, R. Sharma, V. Sharma, P. B. Barman, M. Kumar, D. Barman, S.C. Katyal, P. Sharma, “Gd3+ Doped Mn-Zn Soft Ferrite Nanoparticles: Superparamagnetism and its Correlation with other Physical Properties,” Journal of Magnetism and Magnetic Materials, vol. 432, pp. 208-217, June 2017.

Experience:

  1. Faculty @ CSED Thapar University (Aug 2019-Present)
  2. Teaching Assistant @National Taiwan University Of Science and Technology, Taiwan(Sept,2018-Jan, 2019).
  3. Research Assistant @Gwangju Institute of Science and Technology, South Korea.(Aug,2016-Dec,2016)
  4. Research Intern @Gwangju Institute of Science and Technology, South Korea.(June,2015-July,2015)

Awards

  • Winner of the 2019 Taiwanese Association for Consumer Electronics Award for Outstanding M.S. Thesis
  • Winner of the 2019 Taiwan Association for Web Intelligence Consortium Award for Outstanding Master Thesis