CV

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Education:

2011–2015: Doctor of Philosophy (PhD), Department of Earth and Space Sciences, Indian Institute of Space Science and Technology

Thiruvananthapuram, India

Title: Multiple Classifiers and Dimensionality Reduction Methods for Hyperspectral Image Classification

Supervisor: Dr. Rama Rao Nidamanuri

2008–2010: Master of Technology (M.Tech) in Remote Sensing and Wireless Sensor Networks

Centre for Excellence in Computational Engineering and Networking, Amrita University, Coimbatore, India

Master Thesis Title: Band Subset Selection for Hyperspectral Image Analysis

Supervisors: Dr. K. P. Soman, Dr. M. S. Manikandan

2006–2008: Master of Science (M.Sc) in Mathematics , Department of Mathematics, Bharathiar University, Coimbatore, India

2003–2006: Bachelor of Science (B. Sc) in Mathematics, Department of Mathematics, Bharathiar University Arts and Science College, affiliated to Bharathiar University, Gudalur, India


Professional Experience:

May 2015 - Present: Post Doctoral Researcher (Awarded Prestige and Marie Curie Post Doctoral Fellowship from 2016-2018)

OBELIX, IRISA, Universite Bretagne-Sud, Vannes, France

Feb 2015 - Mar 2015: Project Associate, Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, India

Nov 2010– Jan 2011: Junior Project Associate, Institute of Remote Sensing, Anna University, India


Awards and Achievements:

  • Awarded Prestige and Marie Post Doctoral Fellowship 2016-2018
  • Received Travel Grant Award to Participate IEEE Geoscience and Remote Sensing Symposium 2013, Melbourne
  • Received Best Poster Award in "National Symposium on Empowering Rural India through Space Technology", organized by the Indian Society of Remote Sensing, 2011.
  • Second rank holder in the class during Master of Technology, 2008-2010
  • First rank holder in the class during Bachelor of Science in Mathematics, 2003-2006
  • Received Best Student Award from Ramakrishna Mission Vidyalaya for Excellence in Academic and Sports
  • First rank holder in the class during High school


Publications:

Journals:

B. B, Damodaran, N. Courty, and S. Lefevre, "Sparse Hilbert Schmidt Independence Criteria based Feature Selection Approach for Hyperspectral Image Classification", Submitted to IEEE Transaction in Geoscience and Remote Sensing

B. B, Damodaran, R. R. Nidamanuri, and Y.Tarabalka, “Dynamic Ensemble Selection Approach for Hyperspectral Image Classification with Joint Spectral and Spatial Information”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. , pp , May 2015

B. B. Damodaran and R. R. Nidamanuri,“Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 2080-2093, 2014

B. B. Damodaran and R. R. Nidamanuri, “Assessment of the impact of dimensionality reduction methods on information classes and classifiers for hyperspectral image classification by multiple classifier system”, Advances in Space Research, vol. 53, pp. 1720-1734, 2014.


International Conferences:

K.A, Prasad, B. B, Damodaran, L. Gnanappazham, V. Selvam, R. R Nidamanuri, and R. Ramasubramanian, " Multiple classification system for classification of mangroves at species level using multispectral image data, ECSA 56 - Coastal Systems in Transition, Germany, 2016 (Accepted for Oral Presentation).

B. B, Damodaran, N. Courty, and S. Lefevre, "Unsupervised Classifier Selection Approach for Hyperspectral Image Classification", IEEE International Geoscience and Remote Sensing Symposium 2016 (IGARSS 2016), July 10-15, Bejing, China (Accepted for Oral Presentation)

B. B, Damodaran and R. R. Nidamanuri, “Multiple classifiers and graph cut method for spectral and spatial classification of hyperspectral image”, ISPRS TC VIII Mid-Term Symposium, Dec 9-12, 2014, Hyderabad, India.

Bhushan, D.B. and Nidamanuri, R. R. “Dynamic classifier system for hyperspectral image classification”, IEEE Geosciene and Remote Sensing Symposium 2013, July 21-26, Melbourne (Received travel grant award of $1500 to present the paper).

Bhushan, D. B.and Nidamanuri, R.R. “Assessment of relationship between information classes, classifiers and dimensionality reduction methods for hyperspectral image classification by multiple classifier system”, National Symposium on Space Technology for Food and Environmental Security and Annual Convention of Indian Society of Remote Sensing, Dec. 5-7, 2012, New Delhi.

Bhushan, D. B.and Nidamanuri, R.R. “Impact of feature reduction methods on target detection methods for hyperspectral image classification by multiple classifier system”, 39th COSPAR Scientific Assembly, July 14-22, 2012, Mysore.

Bhushan, D. B. and Nidamanuri, R.R.“Multiple classifier systems for hyperspectral image classification”, National Symposium on Empowering Rural India through Space Technology and Annual Convention of Indian Society of Remote Sensing, Nov. 8 -11, 2011, Bhopal (Received best poster presentation award).

Bhushan, D. B.,Sowmya, Soman, K. P, Manikandan, M. S, “An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery”,International Symposium on Ocean Electronics (SYMPOL), Nov. 16-18, 2011, Kochi.

Bhushan, D. B., Sowmya, Soman, K.P, “Super resolution blind reconstruction of low resolution images using framelets based fusion”, International Conference on Recent Trends in Information, Telecommunication and Computing (ITC), Mar. 12-13, 2010, Kochi.

Bhushan, D. B, Soman, K. P, “Polyphase Matrix Factorization-A Simplified Explanation”, International Conference on Advances in Recent Technologies in Communication and Computing, Oct. 27-28, 2009, Kottayam.

Computer skills:

OS

Linux/Unix, Windows

Programming

C, Python, Matlab, R

Professional Activities:

Reviewer - IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE International Conference on Geoscience and Remote Sensing (IGARSS)

Memberships - IEEE, IEEE Geoscience and Remote Sensing Society