Dr. Debabrata Ghosh
Assistant Professor

Designation:

Assistant Professor

Specialization:

Object Recognition, Computer Vision, Biomedical Image Processing

Email:

debabrata.ghosh@thapar.edu

Contact No

+91-8918044937

Assistant Professor

debabrata.ghosh@thapar.edu, debabrata44@gmail.com

Biography

Dr. Debabrata Ghosh is working with ECE Department, Thapar Institute of Engineering and Technology, Patiala since 2018. He has completed his PhD degree in Computer Vision techniques from University of North Dakota, USA in December 2015. He has more than two years post-doctoral experience in Biomedical Imaging from UTSW Medical Center, USA. His research interests include Medical Image Processing, Computer Vision, Object Recognition Techniques.

Education

  • Ph.D. (University of North Dakota, USA) in Electrical Engineering specialization in Imaging
  • M. Sc in Satellite Communication & Space Systems, University of Sussex, UK, Distinction
  • B.E. in Electronics & Instrumentation Engineering, Vidyasagar University, CGPA 8.25

Experience: Total Teaching Experience 2 years 8 months

  • June 2018 - Present: Assistant Professor, ECE Department, Thapar Institute of Engineering & Technology, Patiala
  • August 2010 - August 2012: Graduate Teaching Assistant, Electrical Engineering Department, University of North Dakota, USA.

Teaching Interests:

  • Digital Image Processing
  • Embedded Systems
  • Remote Sensing & Applications
  • Robotics
  • Space System Engineering

Research Interest:

  • Medical Image Processing
  • Computer Vision
  • Object Recognition
  • Machine Learning

Publications:

Journals

  1. Ghosh, D., Peng, J., Sirsi, S., Mineo, C., Shaul, P., and Hoyt., K. (2018), “Super-resolution ultrasound imaging of skeletal muscle dysfunction in an animal model of type 2 diabetes,” Journal of Ultrasound in Medicine, In press
  2. Vezeridis, A., Meyer, C., Ghosh, D., Sirsi, S., and Hoyt., K. (2018), “Development of complex tissue-mimicking flow phantoms using 3D-printed materials for contrast-enhanced ultrasound imaging,” Journal of Ultrasound in Medicine, In press
  3. Tanigaki, K., Sacharidou, A., Peng, J., Chambliss, K., Yuhanna, I., and Ghosh, D. (2017), “Hyposialylated IgG activates endothelial IgG receptor FcγRIIB to promote obesityinduced insulin resistance,” Journal of Clinical Investigation, doi: 10.1172/JCI89333
  4. Ghosh, D., Xiong, F., Sirsi, S., Shaul, P., Mattrey, R., and Hoyt., K. (2017), “Towards optimization of in vivo super-resolution ultrasound imaging using size-selected microbubble contrast agents,” Medical Physics, doi:10.1002/mp.12606
  5. Ghosh, D., Naima, K., and Hu, W. (2016), “A Robust Iterative Super-Resolution Mosaicking Algorithm Using an Adaptive and Directional Huber-Markov Regularization,” Journal of Visual Communication and Image Representation, vol. 40, pp. 98-110, Oct, 2016
  6. Ghosh, D., Naima, K. (2015), “A Survey on Image Mosaicing Techniques,” Journal of Visual Communication and Image Representation, vol. 34, pp. 1-11, Jan, 2016
  7. Ghosh, D., Naima, K., and Fevig, R., “Robust Spatial-Domain Based Super-Resolution Mosaicing of CubeSat Video Frames: Algorithm and Evaluation,” Computer and Information Science, vol. 7, no. 2, pp. 68-81, Apr, 2014
  8. Ghosh, D., and Naima, K., “A Survey on Remote Sensing Scene Classification Algorithms,” WSEAS Transactions on Signal Processing, vol. 10, pp. 504-519, Jan, 2014
  9. Ghosh, D., Park, S., Kaabouch, N., and Semke, W., "Super-Resolution Mosaicing of Unmanned Aircraft System (UAS) Surveillance Video Frames," International Journal of Scientific & Engineering Research, vol. 4, no. 2, Feb, 2013

International Conferences

  1. Ghosh, D., Peng, J., Sirsi, S., Mattrey, R., Shaul, P., and Hoyt., K., “Super-resolution ultrasound imaging of the microvasculature in skeletal muscle: A new tool in diabetes research,” in IEEE International Ultrasound Symposium, Washington, D.C., 2017
  2. Ghosh, D., Xiong, F., Mattrey, R., Sirsi, S., and Hoyt., K., “Monitoring early tumor response to vascular targeted therapy using super-resolution ultrasound imaging,” in IEEE International Ultrasound Symposium, Washington, D.C., 2017
  3. Ghosh, D., “Super-Resolution Ultrasound Imaging Using Size-Selected Microbubbles: Preliminary Results Using Tissue-Mimicking Flow Phantoms,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  4. Ghosh, D., “Motion Correction Strategies for Improving the Quantitative Value of Dynamic Contrast-Enhanced Ultrasound Imaging,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  5. Ghosh, D., “Improved Crawling Wave Elasticity Measurements Using Ultrafast Plane Wave Imaging and Directional Filtering,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  6. Wren, P., Fevig, R., Kaabouch, N., Nelson, M., Bourbour, F., Snarr, J., Ghosh, D., and Church, C., “R2S: A Technology Demonstrator for NEO Reconnaissance Mission,” in AstroRecon: Conference on Spacecraft Reconnaissance of Asteroid and Comet Interiors, Tempe, AZ, 2015
  7. Ghosh, D., “A Robust, Spatial Domain Based Super-Resolution Mosaicing Algorithm for Unmanned Aircraft System Surveillance Applications,” presented at the ND EPSCoR State Conference, Fargo, ND, 2014
  8. Park, S., Ghosh, D., Kaabouch, N., Fevig, R., and Semke, W., “Hierarchical multi-level image mosaicing for autonomous navigation of UAV,” in SPIE, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, San Francisco, CA, 2013
  9. Ghosh, D., Park, S., Kaabouch, N., and Semke, W., “Quantitative evaluation of image mosaicing in multiple scene categories,” in IEEE International Conference on Electro/Information Technology, Indianapolis, IN, 2012

Achievement, Awards and Recognitions

  • Conference Travel Award – University of North Dakota, USA 2010
  • New Investigator Award Finalist, American Institute of Ultrasound in Medicine (AIUM)