Jignesh S. Bhatt

Assistant Professor

Academic Qualifications

2010 - 2015 PhD Information and Communication Technology, DA-IICT, Gandhinagar
Thesis: Novel approaches for spectral unmixing of hyperspectral data
2006 - 2008 M. Tech. Communication Systems, SVNIT, Surat
Dissertation: Registration of satellite image data for meteorological applications
@ SAC (ISRO), Department of Space, Government of India, Ahmedabad.
1997 - 2000 B. E. Electronic & Communications, GEC, Modasa
Project: Decision support system for GIS
@ BISAG (formerly, RESECO), DST - Gujarat, Gandhinagar.

Links

Research interests

  • Inverse problems in imaging
  • Remote sensing
  • Computer vision
  • Machine/Deep learning
  • Sparse coding/representation
  • Optimization techniques

Experience

Nov 2015 - now Assistant Professor, IIIT, Vadodara (Gandhinagar campus)
June 2014 - Nov 2015 Faculty Associate, IIIT, Vadodara (Gandhinagar campus)
Jan 2010 - May 2014 Post-graduate Teaching Assistant, DAIICT, Gandhinagar
June-Dec 2009 Assistant Professor, Nirma University, Ahmedabad
June 2008-2009 Assistant Professor, BIT, Vadodara
June 2005-06 Sr. Lecturer & I/C Head (EC), BIT, Vadodara
July 2001 - May 2005 Lecturer, CCET, Wadhwan city
Feb 2001 - June 2001 Faculty, C-DAC Computers, Surendranagar
Aug 2000 - Jan 2001 Technical Support Engineer, Apex Automation, Ahmedabad

Selected Recent Publications

Books:

1. Jignesh S. Bhatt and M. V, Joshi, "Unmixing Approaches in Hyperspectral Remote Sensing", CRC Press, USA (Accepted and to be published in 2020).

2. Jignesh S. Bhatt and M. V. Joshi, "Regularization in Hyperspectral Unmixing", Spotlight Author Series in Digital Photography, SPIE Press, USA, 2016
http://spie.org/publications/Book/2264037?origin_id

Book chapters:

1. Vijay Deshpande and J. S. Bhatt, "Bayesian deep learning for deformable medical image registration", Part II, Chapter 5, LNCS 11942 in Pattern Recognition and Machine Intelligence (PReMI) PReMI 2019, Springer Nature, 2019 (To appear).

2. Uday Kiran Challa, Pavankumar Yellamraju, and J. S. Bhatt, "A Multi-class Deep All-CNN for Detection of Diabetic Retinopathy Using Retinal Fundus Images", Part I, Chapter 21, LNCS 11941 in Pattern Recognition and Machine Intelligence (PReMI) PReMI 2019, Springer Nature, 2019 (To appear).

3. M. S. Raval, Vaibhav Joshi, and J. S. Bhatt, "Securing biometrics using data hiding techniques", in "Cryptographic and information security approaches for images and videos", CRC Press, Nov. 2018
https://www.routledge.com/Cryptographic-and-Information-Security-Approaches-for-Images-and-Videos/Ramakrishnan/p/book/9781138563841

Journals:

1. Jignesh S. Bhatt and N. Padmanabhan, "Image Registration for Meteorological Applications at ISRO", IEEE Geoscience and Remote Sensing Magazine (Impact factor 9.659), 2019 (To appear).

2. Jignesh Patel, M. V. Joshi, and Jignesh S. Bhatt, "Abundance Estimation using Discontinuity Preserving and Sparsity-induced Priors", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Impact factor 3.392), vol. 12, issue 7, pp. 2148-2158, 2019.

3. Jignesh S. Bhatt, M. V. Joshi, and M. S. Raval, "A data-driven stochastic approach for unmixing hyperspectral data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Impact factor 3.026), Vol. 7, No. 6, pp. 1936-1946, 2014.


International conferences
  • Vijayashekhar S.S., and J. S. Bhatt, "A novel approach for abundance estimation in wavelet domain", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2159-2162, 2019.(Yokohama, Japan)
  • Vijayashekhar S.S., J. S. Bhatt, and B. Chattopadhyay, "A statistical approach to improve virtual dimensionality of hyperspectral data", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2272-2275, 2019. (Yokohama, Japan)
  • Khilan Ravani, Shivam Saboo, and J. S. Bhatt, " A practical approach for SAR image despeckling using deep learning", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2957-2960 , 2019.(Yokohama, Japan)
  • Jignesh S. Bhatt, M. V. Joshi, and Vijayashekhar S.S., "A multitemporal linear spectral unmixing: An iterative approach accounting for abundance variations", 9th IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing 2018 (WHISPERS2018), (accepted), 23-26 September 2018 (Amsterdam, The Natherlands).
  • Jignesh Patel, M. V. Joshi, and Jignesh S. Bhatt, " A novel approach for abundance estimation using discontinuity preserving prior ", IEEE International Geoscience and Remote Sensing Symposium 2018 (IGARSS2018), pp. 6171-6174, July 2018 (Valencia, Spain).
  • Manu Sharma, J. S. Bhatt, and M. V. Joshi, "Early detection of lung cancer from CT images: Nodule segmentation and classification using deep learning", Proc. SPIE 10696, The 10th International Conference on Machine Vision (ICMV2017), 106960W, November 13-15, 2017 (Vienna, Austria).
  • J. S. Bhatt and N. Padmanabhan, "Registration of KALPANA-1 VHRR and INSAT-3A CCD imagery for Meteorological Studies", Emerging Big Data Technologies Summit 2016 (EBDTS'16), 7-9 December, 2016 (Melbourne, Australia). (Best Oral Presentation Award - II place)
  • J. S. Bhatt, M. V. Joshi and M. S. Raval, "A regularization based method for spectral unmixing of imaging spectrometer data", Proc. of SPIE (H-index 90), Image and Signal Processing for Remote Sensing XVIII, vol. 8537, pp. 85370J1-7, 2012 (Edinburgh - UK).
  • J. S. Bhatt, M. V. Joshi and M. S. Raval, "A parametric statistical model over spectral space for the unmixing of imaging spectrometer data", Proc. of SPIE (H-index 90), Image and Signal Processing for Remote Sensing XVIII, vol. 8537, pp. 85371J1-7, 2012 (Edinburgh - UK).
Invited expert talks
  • Hyperspectral unmixing, IEEE NaSCoViP'2014 Surat, 2014
  • ICT tools for enhancing teaching-learning process, CTE - Government of Gujarat, Surat, 2017
  • Spectral unmixing: An insight, ISTE - Nirma University, Ahmedabad, 2017
  • Deep learning for computer vision, GUJCOST - CHARUSAT, Changa, 2018

Additional information

Courses teaching

  • (UG/PG) Introduction to Deep Learning
A short list of courses taught
  • (UG/PG) Computer Vision
  • (UG) Systems and Signal Theory
  • (UG) Digital Image Processing
  • (PG) Statistical signal analysis
  • (UG) Probability and statistics

Reviewer

Journals

  • IEEE Transactions on Geoscience & Remote Sensing
  • IEEE Transactions on Computational Imaging
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • SPIE Journal of Applied Remote Sensing
  • Taylor & Francis International Journal of Remote Sensing
  • Taylor & Francis Remote Sensing Letters

Membership

  • Life Member, ISTE
  • Associate Member, AMIE (IEI)

Contact

Email: