Jignesh S. Bhatt

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

• 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), Book Chapter , 2023 (in-press)
• 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), Book Chapter , 2022 (in press)
• Vijayashekhar SS, Vijay Deshpande, and J. S. Bhatt, A Practical Approach for Hyperspectral Unmixing using Deep Learning, IEEE Geoscience and Remote Sensing Letters (Impact factor 3.966). Art no. 5511505, doi: 10.1109/LGRS.2021.3127075, Journal 19 | 1-5, 2022
• 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, doi: 10.1109/ISBI52829.2022.9761566., Conference 1-5, 2022
• Vijayashekhar S S and J. S. Bhatt, A blind spectral unmixing in wavelet domain, IEEE Journal of Selected Topics Applied Earth Observations Remote Sensing (Impact factor 3.784), Journal 14 | 10287–10302, 2021
• S. Rai, J. S. Bhatt and S. K. Patra, Augmented Noise Learning Framework for Enhancing Medical Image Denoising, IEEE Access (Impact factor 3.367). doi: 10.1109/ACCESS.2021.3106707, Journal 9 | 117153-117168, 2021
• N. Rajpurohit, A. Agarwalla and J. S. Bhatt, A Sure-Based Unsupervised Deep Learning Method for Sar Despeckling, IEEE International Geoscience and Remote Sensing Symposium IGARSS, Conference 5119-5122, 2021
• J. R. Patel, M. V. Joshi and J. S. Bhatt, Spectral Unmixing Using Autoencoder with Spatial and Spectral Regularizations, IEEE International Geoscience and Remote Sensing Symposium IGARSS, Conference 3321-3324, 2021
• J. S. Bhatt and N. Padmanabhan, Image Registration for Meteorological Applications: Development of a Generalized Software for Sensor Data Registration at ISRO, IEEE Geoscience and Remote Sensing Magazine (Impact factor 9.659). doi: 10.1109/MGRS.2019.2949382., Journal vol. 8, no. 4 | 23-37, 2020
• 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), Journal vol. 13 | 2974 - 2985, 2020
• Jignesh S. Bhatt and M. V, Joshi, Unmixing in Hyperspectral Remote Sensing:, CRC Press (USA) (Accepted and to be published in 2020), Book , 2020
• J. S. Bhatt and M. V. Joshi, Deep learning in hyperspectral unmixing: A review, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Conference 2189 - 2192, 2020
• 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), Conference 1512 - 1515, 2020
• 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, Book Chapter Lecture Notes in Computer Science, vol 11942. Springer, Cham, 2019
• 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, Book Chapter Lecture Notes in Computer Science, vol 11941. Springer, Cham, 2019
• 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), Journal vol. 12, issue 7 | 2148-2158, 2019
• Vijayashekhar S.S., and J. S. Bhatt, A novel approach for abundance estimation in wavelet domain, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Conference 2159-2162, 2019
• 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), Conference 2272-2275, 2019
• 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), Conference 2957-2960, 2019
• 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 , Book Chapter , 2018
• 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), Conference 23-26, 2018
• 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 (IGARSS2018), Conference 6171-6174, 2018
• 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, Conference 13-15, 2017
• Jignesh S. Bhatt and M. V. Joshi, Regularization in Hyperspectral Unmixing", Spotlight Author Series in Digital Photography , SPIE Press (USA), Book , 2016
• J. S. Bhatt and N. Padmanabhan, Registration of KALPANA-1 VHRR and INSAT-3A CCD imagery for Meteorological Studies, Emerging Big Data Technologies Summit (EBDTS'16), (Best Oral Presentation Award - II place), Conference 7-9, 2016
• 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), Journal Vol. 7, No. 6 | 1936-1946, 2014
• 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, Conference 8537 | 85370J1-7, 2012
• 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, Conference 8537 | 85371J1-7, 2012

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)