VNIT Nagpur Electronics and Communication Engineering Department

Dr. Saugata Sinha

Brief Bio

Brief Bio
Dr. Saugata Sinha received his PhD degree in Imaging Science from Chester F Carlson Center for Imaging Science, Rochester Institute of Technology, USA in December 2014. He did his B. Tech in Optics & Optoelectronics from University of Calcutta in 2007. He worked as a Research Scientist in Opto electronics and Medical Electronics divisions of SAMEER [A Govt. of India Research & Development Institute], IIT Mumbai from 2007 to 2010. Following his PhD, he joined the Department of Electronics & Communication Engineering, Visvesvaraya National Institute of Technology, India as an Assistant Professor in 2015.

Education

Sr. No.DegreeYearSpecializationUniversity
1PhD2014Imaging ScienceRochester Institute of Technology, Rochester, New York, USA
2B. Tech2007Optics & OptoelectronicsUniversity of Calcutta

Contact

Phone:Email:Address:
7122801857saugata.sinha@ece.vnit.ac.inDept. of ECE, VNIT, South Ambazari Road, Nagpur, Maharashtra, Inida, PIN: 440010

Research Interest

Research Interest
Medical Image processing
Real time Polyp detection and characterisation in colonoscopy videos
Histopathology image processing for liver disease detection
Application of Artificial Intelligence for Medical Image analysis
Reconstruction technologies of Medical Images
Medical Imaging systems
Photoacoutics Imaging System
Ultrasound Imagine System
EEG signal processing
Object detection and tracking
Computational Imaging
Visual Light Communication.
Sr. No.TitleFunding AgencyRoleYearAmount (in Lakhs INR)
1Developement of Low cost Fluorescence Spectrometer for Industrial and Academic ApplicationsVNITCo PI202415 lacs
2Development of an AI system for computer aided detection and characterization of colorectal polyps using high-definition white light endoscopy and narrow band imagingICMR, Govt. of IndiaPI202325.14 lacs
3Low cost real time dual mode Photoacoustic Ultrasound imaging technology for non invasive diagnosis and management of cancerSPARC Scheme, Govt. of IndiaPI201946 lacs
4Application of Deep Learning on dual mode Photoacoustic and Ultrasound images for weakly supervised computer aided cancer diagnosis.MeitYPI201937 lacs
5Development ofa customizeddual mode invivoPhotoacousticand UltrasoundImaging systemfor earlydetection ofbreast cancerSERB, Govt. of IndiaPI201738 lacs
6Development of a novel acoustic lens focusing based ultrasound pulse echo imaging systemRIT, NY, USAStudent PI20136600 USD
Sr. No.TitleFunding AgencyRoleYearAmount (in Lakhs INR)
DescriptionAuthor(s)PublisherISBNYear
Sr. No.Patent TitleApplication No.DatePresent Staus
Sr. No.Title
1GIAN Course titled ‘Multimedia Forensics; Overview and Perspective’, September 19 – 23, 2022
2TEQUIP Sponsored International Symposium titled ‘International Symposium on Medical Imaging in Clinical Environment’ February 8 – 13, 2021
3GIAN Course titled ‘Functional MRI: Methods and Applications for Medical Imaging’, October 22 – 26, 2018
4TEQIP SPONSORED One Week SHORT TERM COURSE Titled ‘Signal and Image Processing For Medical Applications (SIPMA-2019)’, February 20 -24, 2019.
5Workshop titled ‘3 Day Hands on Workshop on Digital Signal Processing
Sr. No.ResponsibilityInstituteRoleYear
1Member of Board of StudiesIIIT nagpurMember of Board of Studies2022- 2023
2Newsletter Chair of IEEE Bombay SectionIEEE Bombay SectionNewsletter Chair2022- 2023
Sr. No.Awards
1Sir Visvesvaraya Young Faculty Research Fellowship, MeitY, Govt. of India
2Graduate Student Research & Creativity Grant for presenting in SPIE Medical Imaging 2014 conference.
3Received full scholarship and assistantship for PhD study at RIT, NY, USA (2010-2014)
  1. Sinha, Saugata, Bhargava K. Chinni, Vikram S. Dogra and Navalgund A. Rao. “Frequency Domain Analysis of Multiwavelength Photoacoustic Signal for differentiating among Malignant, Benign and Normal thyroid in an Ex-vivo study with human thyroid.” Journal of Ultrasound in Medicine 36, no. 10 (2017): 2047-2059. Impact factor 1.54. SCI indexed, PubMed indexed.

 

  1. Sinha, Saugata, Navalgund A. Rao, Bhargava K. Chinni, and Vikram S. Dogra. “Evaluation of Frequency Domain Analysis of Multiwavelength Photoacoustic Signal for Differentiating Malignant From Benign and Normal Prostates.” Journal of Ultrasound in Medicine 35, no. 10 (2016): 2165-2177. Impact factor 1.54. SCI indexed, PubMed indexed.

 

  1. Rathi, Nikita, and Saugata Sinha. “Quantitative tissue characterization using discrete wavelet transform of photoacoustic signals: a feasibility study.” Signal, Image and Video Processing 13, no. 7 (2019): 1357-1365.

 

  1. Rathi, Nikita, Saugata Sinha, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Feasibility of quantitative tissue characterization using novel parameters extracted from photoacoustic power spectrum.” Biomedical Signal Processing and Control 57 (2020): 101719.

 

  1. Rao, A. Prabhakara, Neeraj Bokde, and Saugata Sinha. “Photoacoustic Imaging for Management of Breast Cancer: A Literature Review and Future Perspectives.” Applied Sciences 10, no. 3 (2020): 767.

 

  1. Prabhakara Rao, A., and Saugata Sinha. “Performance of near-infrared dyes as effective contrast agents for breast cancer detection through simulation of photoacoustic imaging.” Journal of Modern Optics 67, no. 4 (2020): 307-328.

 

  1. Dhengre, Nikhil, Saugata Sinha, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Computer aided detection of prostate cancer using multiwavelength photoacoustic data with convolutional neural network.” Biomedical Signal Processing and Control 60 (2020): 101952.

 

  1. Rathi, Nikita, Saugata Sinha, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Computation of photoacoustic absorber size from deconvolved photoacoustic signal using estimated system impulse response.” Ultrasonic Imaging 43, no. 1 (2021): 46-56.

 

  1. Dhengre, Nikhil, and Saugata Sinha. “An edge guided cascaded U‐net approach for accelerated magnetic resonance imaging reconstruction.” International Journal of Imaging Systems and Technology 31, no. 4 (2021): 2014-2022.

 

  1. Rao, A. Prabhakara, and Saugata Sinha. “Performance comparison of acoustic lens based photoacoustic image reconstruction with algorithm based reconstruction techniques.” Optik 243 (2021): 167512.

 

  1. Dhengre, Nikhil, and Saugata Sinha. “Multiscale U-net-based accelerated magnetic resonance imaging reconstruction.” Signal, Image and Video Processing (2022): 1-8.

 

  1. Dhengre, Nikhil, and Saugata Sinha. “K sparse autoencoder-based accelerated reconstruction of magnetic resonance imaging.” The Visual Computer 38, no. 3 (2022): 837-847.

 

  1. Dhengre, Nikhil, and Saugata Sinha. “Compressive sensing MRI reconstruction with shearlet sparsity and non-convex hybrid total variation.” Applied Magnetic Resonance 53, no. 11 (2022): 1517-1525.

 

  1. Rathi, Nikita, Saugata Sinha, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Feasibility of quantitative tissue characterization using novel parameters extracted from photoacoustic power spectrum considering multiple absorbers.” Ultrasonic Imaging 44, no. 1 (2022): 13-24.

 

  1. Mazumdar, Srijan, Saugata Sinha, Saurabh Jha, and Balaji Jagtap. “Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India.” Indian Journal of Gastroenterology (2023): 1-7.

 

  1. Bhabsar, Punit, Sinha, Saugata. “Musical Neurofeedback Advancements, Feedback Modalities, and Applications: A Systematic Review”. Accepted for publication in Journal of Applied Pschyophysiology and Biofeedback, 2024.

 

  1. Jain, Aditi, Saugata Sinha, and Srijan Mazumdar. “Comparative analysis of machine learning frameworks for automatic polyp characterization.” Biomedical Signal Processing and Control 95 (2024): 106451.

 

S.No.Paper Citation
C25Saugata Sinha, Megha Patil, Navalgund Rao, Bhargava K Chinni and Vikram S Dogra. “Unsupervised Classification of THYROID Cancer using Multiwavelength Photoacoustic Imaging”. Presented in IEEE South Asian Ultrasonics Symposium, 2024.
C24Teja Venkata Chavva, Jayanath Dantuluri, Dr. Saugata Sinha, Dr. Srijan Mazmudar, Dr. Souveek Mitra and Dr. Ranajoy Ghosh. “Deep Learning based NASH Liver STEATOSIS Segmentation”. Presented in 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA), 2024.
C23Kothapalli Yaswanth, Katpally Harshith Reddy, Dr Saugata Sinha, Dr Srijan Mazmudar, Dr Souveek Mitra and Dr Ranajoy Ghosh. ”Automated Polyp Detection utilizing YOLO V8 and deepSORT on colonoscopy videos”. Presented in 4th International Conference on Machine Learning and Big Data Analytics (ICMLBDA), 2024.
C22Shah, Sushlok, Sushant Jha, and Saugata Sinha. “Decoding motion-blur using variational autoencoder.” In 8th International Conference on Computing in Engineering and Technology (ICCET 2023), vol. 2023, pp. 232-239. IET, 2023.
C21Tholkappian, R., Saugata Sinha, Bhargava Chinni, Navalgund A. Rao, and Vikram S. Dogra. “Computer-aided tissue characterization for detection of thyroid cancer using multi-wavelength photoacoustic imaging.” In 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 1-4. IEEE, 2023.
C20Jain, Aditi, Saugata Sinha, and Srijan Mazumdar. “Hyperplastic and Adenoma polyp classification using Deep networks.” In 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 1-5. IEEE, 2023.
C19Jha, Sushant, Sushlok Shah, and Saugata Sinha. “Survey of temporal video enhancement techniques.” (2023): 312-319.
C18Reddy, Jillella Sai Charan, Challa Venkatesh, Saugata Sinha, and Srijan Mazumdar. “Real time Automatic Polyp Detection in White light Endoscopy videos using a combination of YOLO and DeepSORT.” In 2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 104-106. IEEE, 2022.
C17Fitter, Khurshed, and Saugata Sinha. “Development of analytical solution for Photoacoustic Imaging of an Extended line source with acoustic lens based reconstruction strategy.” In 2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 124-129. IEEE, 2022.
C16Jha, Saurabh, Balaji Jagtap, Srijan Mazumdar, and Saugata Sinha. “Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives.” In Intelligent Data Engineering and Analytics: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021), pp. 91-98. Singapore: Springer Nature Singapore, 2022.
C15Patil, Megha, Saugata Sinha, Nikhil Dhengre, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Evaluation of Auto-encoder Network with Photoacoustic Signal for Unsupervised Classification of Prostate Cancer.” In Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I 5, pp. 420-429. Springer Singapore, 2021.
C14Borkar, Aniket, Saugata Sinha, Nikhil Dhengre, Bhargava Chinni, Vikram Dogra, and Navalgund Rao. “Diagnosis of prostate cancer with support vector machine using multiwavelength photoacoustic images.” In Proceedings of 3rd International Conference on Computer Vision and Image Processing: CVIP 2018, Volume 1, pp. 247-254. Springer Singapore, 2020.
C13Kumar, Pratul, Sayali Chande, and Saugata Sinha. “Convolutional neural network based face recognition approach.” In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 2525-2528. IEEE, 2019.
C12Sawarbandhe, Mahesh D., Vishal R. Satpute, Naveen Cheggoju, and Saugata Sinha. “Combining learning and hand-crafted based features for face recognition in still images.” In TENCON 2019-2019 IEEE Region 10 Conference (TENCON), pp. 2502-2506. IEEE, 2019.
C11Donga, Raghu, and Saugata Sinha. “Characterization of a Prototype Visible Light Communication System.” In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2018.
C10Prabhakar A Rao and Saugata Sinha. “Performance Comparison of NIR Dyes in Breast Cancer Detection through Simulation of Photoacoustic Imaging”. Oral Presentation in 13th Western Pacific Acoustic Conference WESPAC 2018
C9Nikhil Dhengre, Saugata Sinha, Vikram Dogra and Navalgund Rao. “Prostate cancer detection using radio frequency Photoacoustic data with random forest classifier”. Oral Presentation in 13th Western Pacific Acoustic Conference WESPAC 2018
C8Nikita Rathi and Saugata Sinha. “One dimensional blind deconvolution approach based on discrete wavelet transform for photoacoustic imaging”. Poster presentation in 13th Western Pacific Acoustic Conference WESPAC 2018.
C7Rajanna, Arjun Raj, Raymond Ptucha, Saugata Sinha, Bhargava Chinni, Vikram Dogra, and Navalgund A. Rao. “Prostate cancer detection using photoacoustic imaging and deep learning.” Electronic Imaging 2016, no. 15 (2016): 1-6.
C6Sawarbandhe, Mahesh D., S. Bhaskara Naik, V. R. Satpute, and Saugata Sinha. “Coaxial antenna for microwave ablation.” In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), pp. 119-122. IEEE, 2016.
C5Parate, Mayur Rajaram, Saugata Sinha, and Kishor M. Bhurchandi. “Integral Channel Feature based arbitrary object tracking.” In 2016 Twenty Second National Conference on Communication (NCC), pp. 1-6. IEEE, 2016.
C4Sinha, S., Rao, N. A., Valluru, K. S., Chinni, B. K., Dogra, V. S., & Helguera, M. (2014, March). Frequency analysis of multispectral photoacoustic images for differentiating malignant region from normal region in excised human prostate. In SPIE Medical Imaging (pp. 90400P-90400P). International Society for Optics and Photonics.
C3Sinha, S., & Rao, N. A. (2014, March). Development of a novel acoustic lens based pulse echo ultrasound imaging system. In SPIE Medical Imaging (pp. 90400M-90400M). International Society for Optics and Photonics.
C2Sinha, S., Rao, N., Chinni, B., Moalem, J., Giampolli, E. J., & Dogra, V. (2013, November). Differentiation between malignant and normal human thyroid tissue using frequency analysis of multispectral Photoacoustic images. In Image Processing Workshop (WNYIPW), 2013 IEEE Western New York (pp. 5-8). IEEE.
C1Dogra, Vikram, Saugata Sinha, Bhargava Chinni, Edward Messing, Ahmed Ghazi, and Navalgund Rao. “MP49-02 DIFFERENTIATION BETWEEN MALIGNANT, BENIGN PROSTATIC HYPERPLASIA AND NORMAL PROSTATE TISSUE USING FREQUENCY ANALYSIS OF MULTISPECTRAL PHOTOACOUSTIC IMAGES.” The Journal of Urology 191, no. 4S (2014): e502-e502.