Tanuka Bhattacharjee

Researcher

Speech · Physiological Signals · Machine Learning

Advancing AI for Healthcare

I'm a researcher with 8+ years of experience in the fields of Signal Processing and Machine Learning.

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Tanuka Bhattacharjee

Snapshot

Impact at a glance

6+

Years in dysarthric speech analytics

6

Granted patents on physiological intelligence

9.4/10

Doctoral CGPA at IISc Bangalore

Grants

PMRF · MHRD · IEEE SPS · ISCA

Expertise

Research focus

Dysarthric speech analysis & processing Physiological signal processing Machine & deep learning

Academic journey

Qualifications

  1. August 2019 – November 2025

    Doctor of Philosophy (PhD) · Speech signal processing

    Indian Institute of Science, Bengaluru

    • Thesis: Characterization and Enhancement of Dysarthric Speech for Amyotrophic Lateral Sclerosis: A Source-Filter Perspective
    • Publications: 2 journal articles and 12 conference papers
    • CGPA: 9.4/10 (Coursework)

  2. June 2015 – June 2017

    Master of Engineering, Electronics & Tele-communication Engineering

    Jadavpur University, Kolkata

    • Dissertation: Intelligent brain-inspired algorithms for the next generation robots
    • Publications: 1 journal article and 3 conference papers
    • CGPA: 10/10

  3. May 2011 – May 2015

    Bachelor in Technology, Electronics & Communication Engineering

    Techno India, Salt Lake, Kolkata

    • CGPA: 9.57/10

Industry & Academia

Experience

August 2025 – Present · Bengaluru

Researcher, TCS Innovation Lab

  • Conducting advanced research in CTO-headed Innovation Lab, contributing to strategic R&D initiatives.
  • Developing explainable AI solutions for cardiac health monitoring using non-invasive physiological signals with Large Language Models (LLMs) and Kolmogorov-Arnold Networks (KANs).
  • Co-authored 1 peer-reviewed paper to be presented at a leading international conference.

July 2022 – April 2023 · Online

Teaching assistant, NPTEL

  • Courses: Pattern Recognition and Application; Deep Learning

August 2021 – December 2021 · Bengaluru

Teaching assistant, Indian Institute of Science

  • Course: Stochastic Models and Applications

July 2017 – July 2019 · Kolkata

Researcher, TCS Innovation Lab

  • Developed non-invasive physiological signal processing and machine learning solutions for cardiac and mental health monitoring applications.
  • Ranked 8th globally in the PhysioNet Challenge 2018 for sleep apnea detection.
  • Contributed to innovative research and technological development resulting in 6 granted patents.
  • Authored and co-authored 8 peer-reviewed papers published at leading international conferences.

Intellectual property

Patents

  1. Sanjay Madhukar Kimbahune, Sujit Raghunath Shinde, Arpan Pal, Sundeep Khandelwal, Tanuka Bhattacharjee, Shalini Mukhopadhayay, Rohan Banerjee, Avik Ghose, Tapas Chakravarty, Method and system for screening and monitoring of cardiac diseases, U.S. Patent 12274536, issued April 15, 2025; European Patent 3760107, issued November 5, 2025.
  2. Varsha Sharma, Chirayata Bhattacharyya, Tanuka Bhattacharjee, Murali Poduval, Sundeep Khandelwal, and Anirban Dutta Choudhury, Discriminating features based sepsis prediction, U.S. Patent 11817217, issued November 14, 2023.
  3. Tanuka Bhattacharjee, Deepan Das, Shahnawaz Alam, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, Achuth Rao MV, Prasanta Kumar Ghosh, and Ayush Ranjan Lohani, System and method for non-apnea sleep arousal detection, U.S. Patent 11419542, issued August 23, 2022; European Patent 3637432, issued March 23, 2022.
  4. Deepan Das, Shreyasi Datta, Tanuka Bhattacharjee, Anirban Dutta Choudhury, and Arpan Pal, Method and system for clustering users using cognitive stress report for classifying stress levels, U.S. Patent 11354339, issued June 7, 2022; European Patent 3594854, issued December 31, 2025.
  5. Tanuka Bhattacharjee, Shreyasi Datta, Deepan Das, Anirban Dutta Choudhury, Arpan Pal, and Prasanta Kumar Ghosh, Heart Rate Driven Unsupervised Techniques for Continuous Monitoring of Arousal Trend of Users, U.S. Patent 11045136, issued June 29, 2021; European Patent 3586746, issued March 13, 2024.
  6. Deepan Das, Tanuka Bhattacharjee, Shreyasi Datta, Anirban Dutta Choudhury, Pratyusha Das, and Arpan Pal, System and Method for Classification and Quantitative Estimation of Cognitive Stress, U.S. Patent 10716501, issued July 21, 2020; European Patent 3498169, issued June 12, 2024.

Peer-reviewed

Publications

3 Journals 24 Conferences

Journal Articles

  1. Tanuka Bhattacharjee, Yamini Belur, Atchayaram Nalini, and Prasanta Kumar Ghosh, Source and Filter Characteristics Based Transfer Learning for Dysarthria Severity Classification in Amyotrophic Lateral Sclerosis, Speech Communication, Elsevier, vol. 178, 2026, pp. 103367.
  2. Tanuka Bhattacharjee, Seena Vengalil, Yamini Belur, Atchayaram Nalini, and Prasanta Kumar Ghosh, Inter-speaker Acoustic Differences of Sustained Vowels at Varied Dysarthria Severities for Amyotrophic Lateral Sclerosis, JASA Express Letters, vol. 4, no. 12, 2024, pp. 125203.
  3. Arup Kumar Sadhu, Amit Konar, Tanuka Bhattacharjee, and Swagatam Das, Synergism of Firefly Algorithm and Q-Learning for robot arm path planning, Swarm and Evolutionary Computation, Elsevier, vol. 43, 2018, pp. 50-68.

Conference Papers

  1. Aditya Pandey, Tanuka Bhattacharjee, Madassu Keerthipriya, Darshan Chikktimmegowda, Dipti Baskar, Yamini BK, Seena Vengalil, Atchayaram Nalini, Ravi Yadav, and Prasanta Kumar Ghosh, TVP-UNET: Threshold Variance Penalty U-net for Voice Activity Detection in Dysarthric Speech, accepted in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.
  2. Chandan Pandey, Anirban Dutta Choudhury, Tanuka Bhattacharjee, and Aniruddha Sinha, Correlation-Weighted KAN Attribution for Explainable AF Detection using Single-Lead ECG, accepted in IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom TELMED Workshop), 2026.
  3. Anjali Jayakumar, Tanuka Bhattacharjee, Seena Vengalil, Yamini Belur, Atchayaram Nalini, Keerthipriya M, Darshan Chikktimmegowda, and Prasanta Kumar Ghosh, Classification Between Patients with Amyotrophic Lateral Sclerosis and Healthy Individuals Using Hypernasality in Speech: A Low Complexity Approach, In National Conference on Communications (NCC), 2025, pp. 1-6.
  4. Upendra Vishwanath Y. S., Tanuka Bhattacharjee, Deekshitha G, Sathvik Udupa, Chowdam Venkata Thirumala Kumar, Madassu Keerthipriya, Darshan Chikktimmegowda, Dipti Baskar, Yamini Belur, Seena Vengalil, Atchayaram Nalini, and Prasanta Kumar Ghosh, Comparison of Acoustic and Textual Features for Dysarthria Severity Classification in Amyotrophic Lateral Sclerosis, Proc. Interspeech, 2025, pp. 803-807.
  5. Anjali Jayakumar, Tanuka Bhattacharjee, Seena Vengalil, Yamini Belur, Atchayaram Nalini, and Prasanta Kumar Ghosh, Low Complexity Model with Single Dimensional Feature for Speech Based Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Individuals, In IEEE International Conference on Signal Processing and Communications (SPCOM), 2024, pp. 1-5.
  6. Neelesh Samptur, Tanuka Bhattacharjee, Anirudh Chakravarty K, Seena Vengalil, Yamini Belur, Atchayaram Nalini, and Prasanta Kumar Ghosh, Exploring Syllable Discriminability during Diadochokinetic Task with Increasing Dysarthria Severity for Patients with Amyotrophic Lateral Sclerosis, Proc. Interspeech, 2024, pp. 4114-4118.
  7. Chowdam Venkata Thirumala Kumar, Tanuka Bhattacharjee, Seena Vengalil, Saraswati Nashi, Madassu Keerthipriya, Yamini Belur, Atchayaram Nalini, and Prasanta Kumar Ghosh, Spectral Analysis of Vowels and Fricatives at Varied Levels of Dysarthria Severity for Amyotrophic Lateral Sclerosis, In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, pp. 12767-12771.
  8. Chowdam Venkata Thirumala Kumar, Tanuka Bhattacharjee, Yamini Belur, Nalini Atchayaram, Ravi Yadav, and Prasanta Kumar Ghosh, Classification of Multi-Class Vowels and Fricatives from Patients having Amyotrophic Lateral Sclerosis with Varied Levels of Dysarthria Severity, Proc. Interspeech, 2023, pp. 146-150.
  9. Tanuka Bhattacharjee, Anjali Jayakumar, Yamini Belur, Nalini Atchayaram, Ravi Yadav, and Prasanta Kumar Ghosh, Transfer Learning to Aid Dysarthria Severity Classification for Patients with Amyotrophic Lateral Sclerosis, Proc. Interspeech, 2023, pp. 1543-1547.
  10. Tanuka Bhattacharjee, Chowdam Venkata Thirumala Kumar, Yamini Belur, Nalini Atchayaram, Ravi Yadav, and Prasanta Kumar Ghosh, Static and Dynamic Source and Filter Cues for Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Subjects, In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, pp. 1-5.
  11. Tanuka Bhattacharjee, Yamini Belur, Nalini Atchayaram, Ravi Yadav, and Prasanta Kumar Ghosh, Exploring the Role of Fricatives in Classifying Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis and Parkinson’s Disease, In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, pp. 1-5.
  12. Tanuka Bhattacharjee, Jhansi Mallela, Yamini Belur, Nalini Atchayaram, Ravi Yadav, Pradeep Reddy, Dipanjan Gope, and Prasanta Kumar Ghosh, Source and Vocal Tract Cues for Speech-based Classification of Patients with Parkinson’s Disease and Healthy Subjects, Proc. Interspeech, 2021, pp. 2961-2965.
  13. Tanuka Bhattacharjee, Jhansi Mallela, Yamini Belur, Nalini Atchayaram, Ravi Yadav, Pradeep Reddy, Dipanjan Gope, and Prasanta Kumar Ghosh, Effect of Noise and Model Complexity on Detection of Amyotrophic Lateral Sclerosis and Parkinson’s Disease Using Pitch and MFCC, In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 7313-7317.
  14. Varsha Sharma, Chirayata Bhattacharyya, Tanuka Bhattacharjee, Sundeep Khandelwal, Murali Poduval, and Anirban Dutta Choudhury, Sepsis Prediction using Continuous and Categorical Features on Sporadic Data, In IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2020, pp. 1-6.
  15. Rahul D Gavas, Deepan Das, Tanuka Bhattacharjee, Mithun B Sheshachala, Lalit K Hissaria, Ramu R Vempada, Venkata S Viraraghavan, Anirban Dutta Choudhury, Kartik Muralidharan, Ramesh K Ramakrishnan, P Balamuralidhar, and Arpan Pal, A sensor-enabled digital trier social stress test in an enterprise context, In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019, pp. 1321-1325.
  16. Tanuka Bhattacharjee, Anirban Dutta Choudhury, and Arpan Pal, Robust Beat-to-Beat Interval from Wearable PPG using RLS and SSA, In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019, pp. 4946-4952.
  17. Achuth Rao MV, Prasanta Kumar Ghosh, Tanuka Bhattacharjee, and Anirban Dutta Choudhury, Trend Statistics Network and Channel Invariant EEG Network for Sleep Arousal Study, In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019, pp. 5716-5722.
  18. Tanuka Bhattacharjee, Sriparna Saha, Amit Konar, Atulya K. Nagar, Static video summarization using artificial bee colony optimization, In IEEE Symposium Series on Computational Intelligence (SSCI) 2018, pp. 777-784.
  19. Tanuka Bhattacharjee, Deepan Das, Shahnawaz Alam, Achuth Rao MV, Prasanta Kumar Ghosh, Ayush Ranjan Lohani, Rohan Banerjee, Anirban Dutta Choudhury, and Arpan Pal, SleepTight: Identifying Sleep Arousals using Inter and Intra-Relation of Multimodal Signals, In Computing in Cardiology Conference (CinC) 2018, IEEE, vol. 45, pp. 1-4.
  20. Tanuka Bhattacharjee, Shreyasi Datta, Deepan Das, Anirban Dutta Choudhury, Arpan Pal, and Prasanta Kumar Ghosh, A Heart Rate Driven Kalman Filter for Continuous Arousal Trend Monitoring, In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018, pp. 3572-3577.
  21. Deepan Das, Shreyasi Datta, Tanuka Bhattacharjee, Anirban Dutta Choudhury, and Arpan Pal, Eliminating individual bias to improve stress detection from multimodal physiological data, In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018, pp. 5753-5758.
  22. Deepan Das, Tanuka Bhattacharjee, Shreyasi Datta, Anirban Dutta Choudhury, Pratyusha Das, and Arpan Pal, Classification and Quantitative Estimation of Cognitive Stress from In-game Keystroke Analysis using EEG and GSR, In IEEE Life Sciences Conference (LSC) 2017, pp. 286-291.
  23. Amiyangshu De, Tanuka Bhattacharjee, Amit Konar, Anca L. Ralescu, and Atulya K. Nagar, A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response, In IEEE Symposium Series on Computational Intelligence (SSCI) 2017, pp. 1-7.
  24. Tanuka Bhattacharjee, Reshma Kar, Amit Konar, Anna Lekova, and Atulya K. Nagar, A General Type-2 Fuzzy Set Induced Single Trial P300 Detection, In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2017, pp. 1-6.

Honors

Selected achievements

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I welcome conversations on clinical speech analytics, collaborations on ALS biomarker discovery, and mentorship inquiries.