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Dr. Subarna Chatterjee
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Dr. Subarna Chatterjee

Associate Professor

  • School/College

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

Dr. Chatterjee has 17 years of working experience which includes 11 Years 10 months of Teaching and 2 years and 7 months Research experience of Medical Imaging and Image Processing, Ultrasound Imaging, Machine Learning, Artificial Intelligence, Social Network Analysis, Bioinformatics, Signal Processing, Pattern Recognition, DSP, Video Analysis, and Embedded System. Ability to design, articulate and deploy solutions based on specifications while leveraging personal knowledge of Analytics and Modelling. Well versed in Matlab, Python, VHDl, Verilog, Java, handled the Xilinx tools and TMS Kits, FPGA devices like Spartan, Spartan-3, Virtex, Virtex-II, also worked on the following Multimedia (Flash-6, Adobe Photoshop, Dream Weaver, Director, Sound-Forge, Adobe Premiere etc.). She has published over 40 referred research articles in conference proceedings and international journals and book chapters. She is a regular reviewer for many peer reviewed international journals. She was awarded with INSPIRE FELLOWSHIP by DST Govt. Of India (2011) and University Gold Medal for 1st Rank in M.E. (CSE) - 2009 of WBUT, India, and also was selected JRF in SMST at IIT KGP, sponsored by TI(India)(2008).

Qualifications

  • Ph.D. in Medical Imaging

    IIEST Shibpur, 2014

  • M.Tech

    West Bengal University of Technology (WBUT), 2009

  • B.Tech

    MCKVIE(under Vidyasagar University), 2004

Experience

Total Years of Experience

17 Years

Academic Experience

11 Years 10 Months

  • 2020 – present(2yr, 7m), Working as an Asso. Prof. in Dept. of CSE, RUAS, Bangalore, India.
  • 2016 – 2020(4yr, 8m), Worked as an Asst. Prof. in Dept. of CSE, RUAS, Bangalore, India.
  • 2010 – 2013(3yr 6m), Worked as an Asst. Prof. in Dept. of CSE, MSIT (Under Techno India Group), Kolkata, India.
  • 2007 – 2008(1yr), Worked as a Lecturer in Dept. of IT, BUIE, Bankura, WB, India.
  • 2007(1m), Worked as a Faculty in Ardent Collaboration Ltd., Kolkata, India.
Research Experience

2 Years 7 Months

  • 2014 – 2015(11m), Worked as a Visiting Scholar in the Ultrasound Group at School of Electrical and Electronic Engineering in University of Leeds, U.K.
  • 2008 – 2010(1yr, 8m), JRF for Medical Image Analysis in SMST at IIT KGP, India.
Industry Experience

2 Years 7 Months

  • 2013 – 2014(1yr), Worked as a programmer in Leeds City College, U.K.
  • 2004 – 2006(1yr, 7m), Worked as a Junior Developer in Park Infotech Ltd., Kolkata, India.

Training Experience (With Topics)

  • VHDL & Verilog, Matlab & Python etc.

Medical Imaging and Image Analysis, Image Visualization, Language Processing, Bioinformatics, ML, AI, Pattern Recognition, DSP, Video Analysis, Object detection and tracking, Embedded System, Computational Geometry

  • Jhansi V. Setty and S. Chatterjee, "Design and Implementation of Motion Envelope for a Moving Object using Kinect for Windows," CVIP2020, Springer, Communications in Computer and Information Science (CCIS) Series, Vol-1378, pp. 128-140.
  • Rajasekhar Nannapaneni and S. Chatterjee, "Human Emotion Recognition," MISS2020, Springer Algorithms for Intelligent Systems (AIS) Series, pp. 513-525.
  • Navin K. Ipe and S. Chatterjee, "A Haar JEET Method of Reducing Computation for Detecting Human Faces in Images," Springer Algorithms for Intelligent Systems (AIS) Series, pp. 579-592.
  • Navin K Ipe and S. Chatterjee, "An In-Memory Physics Environment as a World Model for Robot Motion Planning," Springer Advances in Intelligent Systems and Computing (AISC), Vol 1380, pp. 559-569.
  • P. Bora and S. Chatterjee, "A review on deep learning framework for Alzheimer Disease detection from MRI," Springer Algorithms for Intelligent Systems (AIS) Series, pp. 71-86.
  • N. Fardeen and S. Chatterjee, "Speech based Emotion Detection Using R," Accepted in FRSM2020, Springer Advances in Intelligent Systems and Computing (AISC) Series, Vol 1320, pp 85–97.
  • N. Fardeen and S. Chatterjee, "Machine Learning Approach for Audio Surveillance," FRSM2020, Springer Advances in Intelligent Systems and Computing (AISC) Series, Vol 1320, pp 119–131.
  • M. Sarma and S. Chatterjee, "Identification and Prediction of Alzheimer based on biomarkers using ‘Machine Learning’," MIND2020, Springer Communications in Computer and Information Science (CCIS) Series, Vol-1241, pp. 271-284.

  • Awarded INSPIRE FELLOWSHIP by DST Govt. Of India, 2011.
  • Awarded Gold Medal for 1st Rank in M.E. (CSE) - 2009 of WBUT, India, 2011.
  • Selected JRF in SMST at IIT KGP, sponsored by TI(I), 2008.
  • Got 3rd Prize in District Yoga Competition, Dt.- Burdwan, WB, India.
  • M.Tech (MLIS) group project students Anuj Kumar, Baiju Kumar Mishra, Sanjeev Kumar, Subarna Chatterjee, got Best Paper award on “Fake News Detection from newspaper and various online platforms” in 2nd International Conference on Adaptive Computational Intelligence (ICACI 2020), GSSS Institute of Engineering & Technology for Women, Mysuru, Dec 15-16, 2020.
  • M.Tech (MLIS) group project students Manish Bali, Manash Sarma, Samahit Mohanty, Rajesh Puravankara secured 1st place in paper presentation session on “Diabot: A Predictive Medical Chatbot using Ensemble Learning” in ICIESTM- 2019, Bengaluru, India.
  • M.Tech (Transportation Engineering) group project students Ashwij L, Rajat Khodanpur, Lakshmish T P won Best Technical Paper award on “FABRICATION AND DIGITIZATION OF LOW COST POTHOLE QUANTIFYING DEVICE” in 4th National Conf. on INFRA-ROAD TECH 2019 [Jointly guided with Yateen Lokesh(C.E), N S Chandanshree(C.E), Prakash P(C.S.E)].

National Conference Papers
  • Ashwij L, Lakshmish T P, Rajat Khodanpur, Yateen lokesh, N S Chandanshree, S. Chatterjee and Prakash P., "Fabrication and Digitization of Low Cost Pothole Quantifying Device," VOLVORAASTA-Bangalore, 4th National Conference on Road and Infrastructure INFRA-ROAD TECH 2019, April 04-05, 2019, pp. 302-310.
  • S. Chatterjee, A. K. Ray, R. Karim, A. Biswas, “Architectural Design for Median Filter,” IEEE proceedings NCVPRIPG-2011, pp. no. 247-250.
  • S. Chatterjee, A. K. Ray, R. Karim, A. Biswas, “Detection of micro-calcification to Characterize Malignant Breast Lesion,” IEEE proceedings NCVPRIPG-2011, pp. no. 247-250.
  • S. Chatterjee, “Simulation of Algorithm and Hardware Estimation of Efficient Video Processing Techniques,” proceedings of Recent Trends in IT, Its Challenges and Opportunities, 2008, Serial No-17.
  • S. Chatterjee and A. Chakrabarti, “Architecture Design of Efficient Video Processing Technique for Motion Analysis,” proceedings of IEEE WIE National Symposium on Emerging Technologies (WieNSET-2007), pp. no. 141-144.
  • S. Chatterjee and A. Chakrabarti, “Design and Simulation of Efficient Video Processing Techniques for Motion Analysis with Hardware Estimation,” proceedings of National Conference on Methods and Models in Computing (NCM2C-2007), pp. no. 87-98.
  • S. Chatterjee and A. Chakrabarti, “Design & Simulation Of Efficient Video Processing Techniques For Compression and Motion Analysis With Hardware Estimation,” proceedings of National Conference on Computer Science and Communication Technologies(NCSCT-2007), pp. no. 212-219.
International Conference Papers
  • Rao, P.K. and Chatterjee, S., 2022, October. TabNet to Identify Risks in Chronic Kidney Disease Using GAN's Synthetic Data. In 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (pp. 209-215). IEEE.
  • Shouryadhar, K., Rao, P.K. and Chatterjee, S., 2022, October. Multilevel Ensemble Method to Identify Risks in Chronic Kidney Disease Using Hybrid Synthetic Data. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
  • S. Joshi and S. Chatterjee, “Accuracy test of Speech Sentiment Analysis on 2D CNN on entire MFCC and mel-spectrogram with or without data Augmentation”, 26th International Symposium on Frontiers of Research in Speech and Music (FRSM-2021), Feb 11-12, 2021.
  • N. K Ipe and S. Chatterjee, “An In-Memory Physics Environment as a World Model for Robot Motion Planning”, 5th International Conference on Soft Computing: Theories and Applications (SoCTA2020), Dec 25-27, 2020.
  • Anuj Kumar, Baiju Kumar Mishra, Sanjeev Kumar, Subarna Chatterjee, “Fake News Detection from newspaper and various online platforms”, 2nd International Conference on Adaptive Computational Intelligence (ICACI 2020), GSSS Institute of Engineering & Technology for Women, Mysuru, Dec 15-16, 2020.
  • Parinita Bora and Subarna Chatterjee, “A review on deep learning framework for Alzheimer Disease detection from MRI”, International Conference On Computational Intelligence (ICCI 2020), IIIT Pune, Dec 12 - 13, 2020.
  • Jhansi V. Setty and Subarna Chatterjee, Design and Implementation of Motion Envelope for a Moving Object using Kinect for Windows, 5th IAPR International Conference on Computer Vision & Image Processing (CVIP-2020), IIIT Allahabad, Dec 4-6, 2020.
  • N. Fardeen and S. Chatterjee, “Speech based Emotion Detection Using R”, 25th International Symposium on Frontiers of Research in Speech and Music (FRSM-2020), NIT Silchar, Oct 8-9, 2020.
  • N. Fardeen and S. Chatterjee, “Machine Learning Approach for Audio Surveillance”, 25th International Symposium on Frontiers of Research in Speech and Music (FRSM-2020), NIT Silchar, Oct 8-9, 2020.
  • N. Ipe and S. Chatterjee, “A Haar JEET Method of Reducing Computation for Detecting Human Faces in Images”, International Conference on Machine Intelligence and Smart Systems (MISS2020), Rustamji Institute of Technology, Gwalior, Sept. 24-25, 2020.
  • R. Nannapaneni and S. Chatterjee, “Human Emotion Recognition”, International Conference on Machine Intelligence and Smart Systems (MISS2020), Rustamji Institute of Technology, Gwalior, Sept. 24-25, 2020.
  • N. Fardeen and S. Chatterjee “Rainfall Prediction and Suitable Crop Suggestion Using Machine Learning Prediction Algorithms”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2020), IEM Saltlake, Kolkata, July 2-4, 2020.
  • M. Sarma and S. Chatterjee, “Identification and Prediction of Alzheimer based on biomarkers using ‘Machine Learning’”, 2nd International Conference on International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND2020), NIT Silchar, July 30-31, 2020.
  • N. Fardeen, P. D. Chougale, S. Chatterjee, “Applications of Artificial Intelligence and Machine Learning in Various Domains”, International Conference on Emerging Trends in Information Technology and Data Science (INCETITDS-2020), IMS Ghaziabad, July 4, 2020.
  • M. Bali, M. Sarma, S. Chatterjee, S. Mohanty, R. Puravankara, “Diabot: A Predictive Medical Chatbot using Ensemble Learning” published in ICIESTM- 2019, pp. no. 16-22, India.
  • S Divya Shree and S. Chatterjee, "Design and simulation of CAD tools for early detection of Glaucoma" IEEE proceedings ICRIEECE-2018, KIIT, Bhubaneswar, India.
  • S. Chatterjee, A. K. Ray, A. Biswas, P. P. Bhattacharya, “Segmentation of Ultrasound Tumor via Region-Based Rough Set Theory” published in IEEE proceedings of EECCMC-2018, pp. 420-424, India.
  • P. M. S. Kumar and S. Chatterjee “Computer Aided Diagnostic for cancer detection using MRI images of brain” published in 13th International IEEE India Conference, INDICON 2016, India.
  • S. Chatterjee, S. Hyder, Z. Alomari, S. Freear “Image Processing Approach for Tumor Detection using Strain Images” published in 4th International Conference on Oncological Engineering, Leeds, 2015.
  • S. Chatterjee, A. K. Ray, R. Karim, “Micro-calcification Detection to Characterize Malignant Breast Lesion", IEEE proceedings of INDICON 2011, pp. no. 70-73.
  • S. Chatterjee, A. K. Ray, R. Karim, A. Biswas, “Classification of Malignant Tumors Using Multiple Sonographic Features”, IEEE proceedings of the International Conference on Recent Trends in Information Systems (ReTIS-2011), pp.no. 252-256.
  • S. Chatterjee, R. Karim, A. Biswas, A. K. Ray, “Image Processing of Ultrasound Color Doppler to Characterize Malignant Breast Lesion”, published in proceedings of the International Conference on Control, Robotics, and Cybernetics (ICCRC-2011), pp. no. 159-162.
  • S. Chatterjee, R. Karim, A. K. Ray, “Identification & Extraction of Sono-mammographic Features to Characterize Malignant Breast Lesion", IEEE proceedings IECR-2010, pp. no. 202-205.
International Journal Papers
  • S. Chatterjee, R. Karim, A. K. Ray, “Breast Cancer Detection through Ramans Spectroscopy”, Indian Medical Journal on Advanced Medicare, 2011.
  • S. Chatterjee and R. Karim, “Sono-mammographic Features to Characterize Malignant Breast Lesion”, Indian Medical Journal on Advanced Medicare, pp. no. 36-38, Oct, 2010.
National Conference Papers
  • Rao, P.K., Chatterjee, S. and Sharma, S., 2022. Weight pruning-UNet: Weight pruning UNet with depth-wise separable convolutions for semantic segmentation of kidney tumors. Journal of Medical Signals and Sensors, 12(2), p.108.
  • Bali, M., Mohanty, S., Chatterjee, S., Sarma, M. and Puravankara, R., 2019. Diabot: a predictive medical chatbot using ensemble learning. International Journal of Recent Technology and Engineering, 8(2), pp.6334-6340.
  • S. Chatterjee and P. K. Rao, “Diagnosis of Kidney Renal Cell Tumor through Clinical data mining and CT scan image processing: A Survey”, IJAS&T, Vol. 126, No 1, pp. no. 240-248, 2019.
  • Farheen, N., Chougale, P.D. and Chatterjee, S., Applications of Artificial Intelligence and Machine Earning in Various Domains. IJAR&D, Vol. 7, No 1, pp. no. 57-64, 2018, ISSN: 2395-1737.
  • Chatterjee, S., Ray, A.K., Karim, R. and Biswas, A., 2013. Color Doppler to characterize malignant breast lesion. International J Life Sci Med Res, 2, pp.24-27.
  • Chatterjee, S., Karim, R., Biswas, A. and Ray, A.K., 2012. Image processing of ultrasound color Doppler to characterize malignant breast lesion. In Advanced Materials Research (Vol. 403, pp. 830-834). Trans Tech Publications Ltd.
  • Chatterjee, S., Ray, A.K., Karim, R. and Biswas, A., 2011. Architectural Design to Characterize Malignant Breast Lesion. International Journal of Computer Applications, 975, p.8887.
  • Chatterjee, S., 2011. A Novel Architecture for Motion Estimation. International Journal of Computer Science Issues (IJCSI), 8(4), p.414.
  • Chatterjee, S. and Chakrabarti, A., 2009. Parallel hardware design for motion estimation. International Journal of Recent Trends in Engineering, 1(1), p.653.

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