Indian Institute of Information Technology Vadodara
(Institute of National Importance under Act of Parliament)
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

  • Deep learning for Medical imaging/ Remote sensing/ Defense
  • Interpretability of deep neural networks
  • Computer vision

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. Swati Rai, Jignesh S. Bhatt, and S. K. Patra, ”Deep Learning in Medical Image Analysis: Recent Models and Explainability.” In Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine, (Eds.) Mehul S Raval, Mohendra Roy, Tolga Kaya, and Rupal Kapdi, CRC Press (USA), 2023 (in-press).

2. Jay Thakkar, J. S. Bhatt, and S. K. Patra, “Self-supervised Learning for Medical Image Restoration: Investigation and Finding”, International Conference on Machine Intelligence and Signal Processing (MISP 2022), Lecture Notes in Electrical Engineering (LNEE), 2022 (in press).

3. Vijay Deshpande, J. S. Bhatt, "Bayesian Deep Learning for Deformable Medical Image Registration", In: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science, vol 11942. Springer, Cham

4. Uday Kiran Challa, Pavankumar Yellamraju, J. S. Bhatt, "A Multi-class Deep All-CNN for Detection of Diabetic Retinopathy Using Retinal Fundus Images", In: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science, vol 11941. Springer, Cham

5. 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:

  • Vijayashekhar SS, Vijay Deshpande, and J. S. Bhatt, "A Practical Approach for Hyperspectral Unmixing using Deep Learning", in IEEE Geoscience and Remote Sensing Letters (Impact factor 3.966), vol. 19, pp. 1-5, 2022, Art no. 5511505, doi: 10.1109/LGRS.2021.3127075.
  • Vijayashekhar S S and J. S. Bhatt, "A blind spectral unmixing in wavelet domain", in IEEE Journal of Selected Topics Applied Earth Observations Remote Sensing (Impact factor 3.784), vol. 14, pp. 10287–10302, 2021.
  • S. Rai, J. S. Bhatt and S. K. Patra, "Augmented Noise Learning Framework for Enhancing Medical Image Denoising," in IEEE Access (Impact factor 3.367), vol. 9, pp. 117153-117168, 2021, doi: 10.1109/ACCESS.2021.3106707.
  • J. S. Bhatt and N. Padmanabhan, "Image Registration for Meteorological Applications: Development of a Generalized Software for Sensor Data Registration at ISRO," in IEEE Geoscience and Remote Sensing Magazine (Impact factor 9.659), vol. 8, no. 4, pp. 23-37, Dec. 2020, doi: 10.1109/MGRS.2019.2949382.
  • Vijayashekhar SS, J. S. Bhatt, and B. Chattopadhyay, "Virtual dimensionality of hyperspectral data: Use of multiple hypothesis testing for controlling Type I error," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (Impact factor 3.827) , vol. 13, pp. 2974 - 2985, 2020.
  • 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.
  • 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
    • S. Rai, J. S. Bhatt and S. K. Patra, "Accessible, Affordable and Low-Risk Lungs Health Monitoring in Covid-19: Deep Cascade Reconstruction from Degraded LR-ULDCT," 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, pp. 1-5, doi: 10.1109/ISBI52829.2022.9761566.
    • N. Rajpurohit, A. Agarwalla and J. S. Bhatt, "A Sure-Based Unsupervised Deep Learning Method for Sar Despeckling," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 5119-5122, 2021 (Brussels, Belgium).
    • J. R. Patel, M. V. Joshi and J. S. Bhatt, "Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 3321-3324, 2021 (Brussels, Belgium).
    • J. S. Bhatt and M. V. Joshi, "Deep learning in hyperspectral unmixing: A review", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2189 - 2192, 2020.(Hawaii, USA).
    • Jignesh Patel, M. V. Joshi, and J. S. Bhatt, "A novel approach for hyperspectral image super-resolution using spectral unmixing and transfer learning", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1512 - 1515, 2020.(Hawaii, USA).
    • 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).

    Additional information

    Courses teaching

    • (UG/PG) Topics in Deep Learning
    • (PG) Probability, Statistics, and Random Processes
    A short list of courses taught
    • (UG/PG) Machine Learning
    • (UG/PG) Computer Vision

    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: