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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 19 years of working experience which includes 14 Years 5 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, C, 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 50 referred research articles in conference proceedings and international journals and book chapters. She is a regular reviewer for many peer reviewed international journals. She is currently a member of the IE(I), ACM etc. 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

  • PhD in Medical Imaging (IT)

    IIEST Shibpur, 2014

  • M. Tech(CSE)

    West Bengal University of Technology (WBUT), 2009

  • B. Tech(IT)

    MCKVIE(under Vidyasagar University), 2004

Experience

Total Years of Experience

19 Years

Academic Experience

14 years 5 months

  • 2021 – present(4yr, 11m), Working as an Asso. Prof. in Dept. of CSE, RUAS, Bangalore, India.
  • 2016 – 2020(5yr), Worked as an Asst. Prof. in Dept. of CSE, RUAS, Bangalore, India.
  • 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.
  • Two days training program conducted on “Artificial Intelligence and Machine Learning in Automotive Industries”, 11th and 12th November 2019, at TATA Motors, Pune, Maharashtra.
  • Member of the organizing committee of Workshop on Advanced Machine Learning, RUAS, 23rd–24th August 2019.
  • Conducted Faculty Development Program (FDP) on Machine Learning in Signal Processing, RUAS, 29th–30th January 2019.
  • Member of the organizing committee of National Workshop on Technology in Health Care Prospects & Challenges and student editor of the published journal SMST-Window in SMST, IIT Kharagpur, India, 8th November 2008.
  • Member of the organizing committee of QIP Short Term Course on Recent Trends & Techniques in Medical Imaging and Image Processing in SMST, IIT Kharagpur, India, 3rd–7th November 2008.
  • Member of the organizing committee of Workshop & Seminar on Recent Trends in IT, BUIE, Bankura, West Bengal, India, 2008.
  • PG Diploma in Embedded Computer System from Department of Computer Science and Engineering, West Bengal University of Technology (WBUT), 2006–2007, with SGPA 8.23.

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

  • UG Theses Advised: 40
  • PG MS Theses Advised: 34
  • PhD Dissertation Advised: 1(completed), 1(thesis submitted), 2(ongoing)

  • Sharika, S., Bora, P., Kumari, S.A. and Subarna Chatterjee (2025). SPT based Liquefaction Prediction of Soils Employing AI Techniques. In Advances in Materials Science and Technology (pp. 145-153). CRC Press.
  • P Kiran Rao, Subarna Chatterjee, P Suman Prakash, K. S. Rmana (2025). Adaptive Cyber Defence: Leveraging GANs for Simulating and Mitigating Advanced Network Attacks in IoT Environments, Applied Computing for Software and Smart Systems: Proceedings of ACSS 2024, Lecture Notes in Networks and Systems, vol 980. Springer, Singapore, pp 309-322. https://doi.org/10.1007/978-981-97-9762-2_19
  • Khan, S.B., Ramana, K.S., Krishna, M.B., Subarna Chatterjee, Rao, P.K., Prakash, P.S. (2024). Enhancing Diagnosis of Kidney Ailments from CT Scan with Explainable AI, Explainable AI in Health Informatics. Computational Intelligence Methods and Applications. Springer, Singapore, pp 175–201. https://doi.org/10.1007/978-981-97-3705-5_9
  • Ramana, S., Babu, K.M., Rao, P.K., Subarna Chatterjee and Priyadarshini, Y.I., 2024. Attention-based Multi-Task CNN U-Net for Kidney Tumor Segmentation and Classification. In Disruptive Technologies in Computing and Communication Systems: Proceedings of the 1st International Conference on Disruptive Technologies in Computing and Communication Systems (pp. 121-128). CRC Press. https://doi.org/10.1201/9781032665535
  • N. K. Ipe and Subarna Chatterjee. An In-Memory Physics Environment as a World Model for Robot Motion Planning. Soft Computing: Theories and Applications, Advances in Intelligent Systems and Computing, vol 1380, pp 559–569.
  • P. Bora and Subarna Chatterjee. A Review on Deep Learning Framework for Alzheimer’s Disease Detection from MRI. Algorithms for Intelligent Systems. Springer, Singapore, pp. 71-86. https://doi.org/10.1007/978-981-16-3802-2_6
  • J. V. Setty and Subarna Chatterjee. Design and Implementation of Motion Envelope for a Moving Object using Kinect for Windows. Springer, Communications in Computer and Information Science (CCIS) Series, Vol-1378, pp. 128-140. https://doi.org/10.1007/978-981-16-1103-2_12
  • N. Fardeen and Subarna Chatterjee. Speech based Emotion Detection Using R. Springer, Advances in Intelligent Systems and Computing (AISC) Series, Vol-1320, pp. 85-97. https://link.springer.com/chapter/10.1007/978-981-33-6881-1_8
  • N. Fardeen and Subarna Chatterjee. Machine Learning Approach for Audio Surveillance. Springer, Advances in Intelligent Systems and Computing (AISC) Series, Vol-1320, pp. 85-97. https://link.springer.com/chapter/10.1007/978-981-33-6881-1_11
  • N. K. Ipe and Subarna Chatterjee. A Haar JEET Method of Reducing Computation for Detecting Human Faces in Images. Springer, Algorithms for Intelligent Systems (AIS) Series, pp. 579-592.
  • R. Nannapaneni and Subarna Chatterjee. Human Emotion Recognition. Springer, Algorithms for Intelligent Systems (AIS) Series, pp. 513-525.
  • M. Sarma and Subarna 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. https://doi.org/10.1007/978-981-15-6318-8_23
  • 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, Government of India, 2011.
  • Awarded Gold Medal for securing 1st Rank in M.E. (CSE) - 2009, West Bengal University of Technology (WBUT), India, 2011.
  • Selected as Junior Research Fellow (JRF) in SMST, IIT Kharagpur, sponsored by TI(I), 2008.
  • Secured 3rd Prize in District Yoga Competition, Burdwan, West Bengal, India.
  • M.Tech (MLIS) group project students Anuj Kumar, Baiju Kumar Mishra, Sanjeev Kumar, Subarna Chatterjee received the Best Paper Award for the paper titled “Fake News Detection from Newspaper and Various Online Platforms” at the 2nd International Conference on Adaptive Computational Intelligence (ICACI 2020), GSSS Institute of Engineering & Technology for Women, Mysuru, December 15–16, 2020.
  • M.Tech (MLIS) group project students Manish Bali, Manash Sarma, Samahit Mohanty, Rajesh Puravankara secured 1st place in paper presentation session for “Diabot: A Predictive Medical Chatbot using Ensemble Learning” at ICIESTM 2019, Bengaluru, India.
  • M.Tech (Transportation Engineering) group project students Ashwij L, Rajat Khodanpur, Lakshmish T. P. won the Best Technical Paper Award for “Fabrication and Digitization of Low Cost Pothole Quantifying Device” in the 4th National Conference on INFRA-ROAD TECH 2019 (Jointly guided with Yateen Lokesh (C.E), N. S. Chandanshree (C.E), Prakash P. (C.S.E)).
  • 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. 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. 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. 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. 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. 212–219.
  • 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
  • S. P. Gunasekar and S. Chatterjee, “QcNet: A Hybrid Quantum-Classical Neural Network for Multi-Class Image Classification,” 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2025, pp. 912–918, doi: 10.1109/ICIRCA65293.2025.11089744.
  • P. Bora and S. Chatterjee, “Emotion Detection from ECG Signals,” 28th International Symposium on Frontiers of Research in Speech and Music (FRSM), Kanpur, Oct 8–9, 2024.
  • S. Kommisetty, P. K. Rao, S. Chatterjee, “Multilevel Ensemble Method to Identify Risks in Chronic Kidney Disease Using Hybrid Synthetic Data,” 13th ICCCNT 2022, Oct 3–5, 2022, https://doi.org/10.1109/icccnt54827.2022.9984346.
  • P. K. Rao and S. Chatterjee, “TabNet to Identify Risks in Chronic Kidney Disease Using GANs Synthetic Data,” 2nd ICTACS 2022, Oct 10–12, 2022, pp. 209–215, doi: 10.1109/ICTACS56270.2022.9988284.
  • S. Joshi and S. Chatterjee, “Accuracy Test on 2D-CNN on Entire MFCC and Mel-Spectrogram with and without Data Augmentation Method,” 26th International Symposium on 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.
  • P. Bora and S. 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 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,” ICIESTM-2019, pp. 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,” 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,” 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,” 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. 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. 252–256.
  • S. Chatterjee, R. Karim, A. Biswas, A. K. Ray, “Image Processing of Ultrasound Color Doppler to Characterize Malignant Breast Lesion,” Proceedings of the International Conference on Control, Robotics and Cybernetics (ICCRC-2011), pp. 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. 202–205.
  • 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.
National 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.
International Journal Papers
  • Sarma, M., Chatterjee, S., “‘Machine Learning’ Multiclassification for Stage Diagnosis of Alzheimer’s Disease Utilizing Augmented Blood Gene Expression and Feature Fusion,” Discov Appl Sci, 7, 636 (2025). https://doi.org/10.1007/s42452-025-07237-1
  • Sarma, M., & Chatterjee, S., “Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation,” Diagnostics, 15(2), 211 (2025). https://doi.org/10.3390/diagnostics15020211
  • Sarma, M., & Chatterjee, S., “Etiology of Late-Onset Alzheimer’s Disease, Biomarker Efficacy, and the Role of Machine Learning in Stage Diagnosis,” Diagnostics, 14(23), 2640 (2024). https://doi.org/10.3390/diagnostics14232640
  • Rao, P. K., Chatterjee, S. and Sharma, S., “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 (2022).
  • Bali, M., Mohanty, S., Chatterjee, S., Sarma, M. and Puravankara, R., “Diabot: A Predictive Medical Chatbot Using Ensemble Learning,” International Journal of Recent Technology and Engineering, 8(2), pp.6334–6340 (2019).
  • 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. 240–248 (2019).
  • Farheen, N., Chougale, P. D. and Chatterjee, S., “Applications of Artificial Intelligence and Machine Learning in Various Domains,” IJAR&D, Vol. 7, No. 1, pp. 57–64 (2018), ISSN: 2395-1737.
  • Chatterjee, S., Ray, A. K., Karim, R. and Biswas, A., “Color Doppler to Characterize Malignant Breast Lesion,” International Journal of Life Science and Medical Research, 2, pp. 24–27 (2013).
  • Chatterjee, S., Karim, R., Biswas, A. and Ray, A. K., “Image Processing of Ultrasound Color Doppler to Characterize Malignant Breast Lesion,” Advanced Materials Research, Vol. 403, pp. 830–834, Trans Tech Publications Ltd. (2012).
  • Chatterjee, S., Ray, A. K., Karim, R. and Biswas, A., “Architectural Design to Characterize Malignant Breast Lesion,” International Journal of Computer Applications, 975, p.8887 (2011).
  • Chatterjee, S., “A Novel Architecture for Motion Estimation,” International Journal of Computer Science Issues (IJCSI), 8(4), p.414 (2011).
  • Chatterjee, S. and Chakrabarti, A., “Parallel Hardware Design for Motion Estimation,” International Journal of Recent Trends in Engineering, 1(1), p.653 (2009).
  • 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.

  • Institute of Engineers(I)
  • Institute of Engineers(I) membership : M-1775167
  • ACM membership : 2359378
  • ORCID ID: 0000-0003-4062-0100
  • Scopus Author ID: 57199772338
  • Google Scholar: 6usi9esAAAAJ
  • Vidwan-ID : 148616
  • Web of Science Researcher ID : LWJ-1729-2024

  • Uday Shrihari P., Chandanshree N. S., Yateen Lokesh, Mr. Prakash P., Dr. Subarna Chatterjee, “Method, Device and Apparatus for Quantification of Pavement Distress”, Indian Patent, Application: 202041055906, December 27, 2020.

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