Dr. Barnali Barman

Dr. Barnali Barman

About

Specialization:
Data mining, Hyperspectral image, Rough set

Qualification

Qualification

  Board/University

Year

  HSLC

SEBA

 2004

  HS

AHSEC

 2006

  B.E. (IT)

Gauhati    University

 2011

  M.TECH(IT)

Gauhati    University

 2013

  PhD (CSE)  

Tezpur University

2021

Working Experience

Position/Responsibilities

Duration

Organization

 

Project Engineer

1 year 2 month

Gauhati University

Teaching Assistant

4 year 6 month

Tezpur University

Consultant IT

9 month

Xeam Ventures Pvt. Ltd. (Client located at ORGI & CCI Guwahati Assam)

Assistant Professor

4 month

Tetso College

Assistant Professor

3 year 1 month

Assam Down Town University

Research

  1. Barman, B., Patra, S.: Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images. IET Image Processing 13(8), 1266 - 1279 (2019) (SCI journal, Impact factor: 2)
  2.  Barman, B., Patra, S.: A novel technique to detect a suboptimal threshold of neighborhood rough sets for hyperspectral band selection. Soft Computing 23, 13709–13719 (2019) (SCI journal, Impact factor: 3.6)
  3.  Barman, B., Patra, S.: Variable precision rough set based unsupervised band selection technique for hyperspectral image classification. Knowledge-Based Systems 193, 105414 (2020) (SCI journal, Impact factor: 8)
  4. Patra, S. and Barman, B.: A novel dependency definition exploiting boundary samples in rough set theory for hyperspectral band selection. Applied Soft Computing, 99, pp. 106944, (2021)( (SCI journal, Impact factor: 6.7))
  5. Barman, B., and  Patra S.: Hyperspectral image analysis using neighborhood rough set and mathematical morphology (International Conference on Accessibility To Digital World IEEE) pp 75-80 (2016)
  6. Barman, B., and  Patra S.: Hyperspectral Band Selection based on Variants of Rough Set Theory (International Conference on Electronic Systems and Intelligent Computing Springer) pp. 909-917 (2020)