Building AI that sees, senses and cares.

AI researcher. Assistant Professor at SSN College of Engineering, and founder of Shinkai-Labs.

Read the publications Shinkai-Labs Download CV (PDF)
Portrait of Dr. K. A. Muthukumar
Dr. K. A. Muthukumar, Keio 2022

Noise to Intelligence. A synthetic recording, moved by monotone optimal transport: every point keeps its mass and no path crosses another. Scroll to run it back.

papers and abstracts
21
registered software copyrights
3
total grants and scholarships
INR8.1M
conference sessions chaired
5

Recent news

Japan

A student from my group joins Kyushu University on the JST LOTUS (Basic) Program.

Selected by the Japan Science and Technology Agency (JST) for LOTUS Basic, its India–Japan programme for young researchers, the student opens a research collaboration with Kyushu University, extending the India and Japan ties that began during my years at Keio.

Support
Up to 12 months in Japan
Living costs
¥240,000 (about ₹1.4 lakh) a month
Joint supervision
¥500,000 (about ₹2.9 lakh) a year

Source: JST LOTUS FY2026 call overview

  1. Shinkai-Labs

    ACNRICS, a noise reduction and communication system for the School of Artillery, Nashik

    Shinkai-Labs is developing ACNRICS, the Artillery Crew Noise Reduction and Intelligent Communication System, for the School of Artillery, Devlali, Nashik.

  2. Service

    Session Chair, IEEE EMBC 2026, Toronto

    Chairing a session at the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, where two of my papers also appear.

  3. Grant

    IEEE ComSoc Travel Grant for ICC 2026, Glasgow

    Awarded USD 1,930 to present our work on non-invasive fetal ECG extraction using deep learning and earth mover's distance.

  4. Papers

    Drone detection paper accepted at IEEE GLOBECOM and IEEE SPACE

    The Shinkai-Labs drone detection system paper was accepted at IEEE GLOBECOM, Macao, and IEEE SPACE, Bengaluru.

  5. Copyright

    Shinkai-Labs Drone Detection and Tracking Platform registered

    Granted by the Copyright Office, Government of India. SW-2026023145

  6. Papers

    Seven conference papers accepted

    At IEEE EMBC (two), IEEE ICC, IEEE CICN, IEEE SPACE, CVIP and ICETCI: fetal ECG, few-shot medical anomaly detection, topology-preserving segmentation and radar tracking.

  7. Service

    Reviewer, IEEE EMBC 2026

    Invited to review for the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

  8. Shinkai-Labs

    Invited to the India AI Impact Summit 2026, New Delhi

    Shinkai-Labs was invited to the summit.

  9. Shinkai-Labs

    At the Advance Defence Tech Expo 2026, Bengaluru

    The Shinkai-Labs team attended the expo.

  10. Interview

    Founder interview with Swift

    A conversation about Shinkai-Labs and its work, published on YouTube. Watch the interview

Noise to Intelligence

Machine learning where the signal is weak, the data is scarce and the stakes are clinical. Six lines of research, one method underneath.

The through-line: optimal transport

Fetal ECG with earth mover's distance, segmentation with a Sinkhorn divergence: the same idea, moving one distribution onto another at the least cost. Drag the noisy points. Lower ε for the sharp Wasserstein plan, raise it for the smooth Sinkhorn one.

ε = 0.020 transport cost 0.000
noisy samples, drag meclean signal

Founder and CEO, since March 2025

Shinkai-Labs

DPIIT-recognized deep tech startup

Reimagining intelligence for the future.

An AI research and development company building systems for fields where reliability and accuracy decide outcomes for people: defense, healthcare and signal processing. From foundational research to deployed software.

Defense, Copyright registered, 2026

Drone Detection and Monitoring System

Detects, tracks and classifies drones in real time by fusing radar, RF and electro-optical sensing, for fixed, mobile and portable deployments.

Built with
Python, Dart
Copyright
Reg. No. SW-2026023145
Papers
IEEE GLOBECOM, Macao, and IEEE SPACE, Bengaluru

Defense

  • ACNRICS

    Artillery Crew Noise Reduction and Intelligent Communication System: AI noise reduction and acoustic signature analysis so gun crews can hear and talk clearly around artillery fire. Being developed for the School of Artillery, Devlali, Nashik.

  • SAR and Signal Intelligence

    Synthetic aperture radar image processing and radar signal analysis for surveillance and geospatial work.

Healthcare

  • RhythmNest

    Fetal arrhythmia detection: isolates the fetal cardiac pattern from the maternal ECG to support early diagnosis.

  • WombChrono

    Non-invasive fetal age estimation from the maternal ECG, using signal processing.

  • ScanSage

    Medical image classification across MRI, CT and X-ray, with attention and geometric deep learning.

What the lab works inBiomedical signal processing, Computer vision and multimodal sensing, Radar and SAR signal processing, Edge AI and IoT, Robotics, Deep learning: optimal transport, Mamba, transformers.

Office Innov8 Millenia, 2nd Floor, East WingRMZ Millenia Business Park, Campus 1ANo. 143, Dr. M.G.R. Road, PerungudiChennai 600096
Visit shinkai-labs.com

info@shinkai-labs.com

LinkedIn, X

From Keio to Chennai

Between India and Japan: study, banking, a Ph.D., industry, a lab of my own and a company. Choose a stay to read it.

India

Japan

May 2025 to now, Chennai, India

Assistant Professor

SSN College of Engineering, Anna University

Teaching and supervising research in machine learning, computer vision and AI for healthcare.

workstudy

  1. May 2025 to now, Chennai, India

    Assistant Professor

    SSN College of Engineering, Anna University

    Teaching and supervising research in machine learning, computer vision and AI for healthcare.

  2. Mar 2025 to now, Chennai, India

    Founder and CEO

    Shinkai-Labs Pvt. Ltd.

    AI products in computer vision, drone detection and tracking, and digital health.

  3. Sep 2023 to Sep 2024, Bengaluru, India

    PG Diploma, Intellectual Property Rights Law

    National Law School of India University

  4. Nov 2022 to Feb 2025, Dehradun, India

    Assistant Professor

    University of Petroleum and Energy Studies (UPES)

    Founded and led the Centre of Excellence in IoT and AI Healthcare. Ran the DST-SERB fetal arrhythmia project; consulted on railway and facade inspection.

  5. Jan 2022 to Mar 2022, Japan, Japan

    Computer Vision and ML Engineer

    MOTiV Research Co.

    Deep learning pipelines for visual recognition in an industrial research setting.

  6. Apr 2018 to Sep 2022, Tokyo, Japan

    MEXT Scholar, then Ph.D. in Engineering

    Ohtsuki Laboratory, Keio University

    Activity and fall detection with infrared array sensors and deep computer vision (CGAN, CNN-LSTM, RGB and IR, edge AI on Raspberry Pi and Jetson).

  7. Apr 2017 to Aug 2017, Bengaluru, India

    Operations Officer

    ANZ

  8. 2014 to 2016, Puducherry, India

    M.Tech., Computer Science and Engineering

    Pondicherry University

    Thesis: secure sharing of medical data in a hybrid cloud.

  9. Jun 2010 to Aug 2010, Gandhinagar, India

    Research Fellow

    DA-IICT

  10. 2008 to 2012, Tiruchirappalli, India

    B.Tech., Computer Science and Engineering

    NIT Tiruchirappalli

Twenty-one papers and abstracts

7 journal entries and 14 conference entries, newest first. Search, filter, and copy any citation as BibTeX.

  1. 2026

    GWO-TriLL: Accelerating linked list search via grey wolf optimization and tridirectional traversal

    K. A. Muthukumar

    Proc. 6th Int. Conf. Emerging Techniques in Computational Intelligence (ICETCI), Hyderabad, India

    Conference

  2. 2026

    Hybrid diffusion-dynamical modeling for robust non-invasive fetal ECG extraction from abdominal ECG recordings

    K. A. Muthukumar

    Proc. 48th Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC)

    Conference

  3. 2026

    Intelligent screening of chronic kidney disease from clinical biomarkers: A dimensionality-aware ensemble approach

    K. A. Muthukumar

    Proc. 18th IEEE Int. Conf. Computational Intelligence and Communication Networks (CICN)

    Conference

  4. 2026

    Multi-level adapter fusion with learnable text anchors for few-shot medical anomaly classification

    K. A. Muthukumar

    Proc. 48th Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC)

    Conference

  5. 2026

    Neural combinatorial fusion for deterministic radar tracking with calibrated uncertainties

    K. A. Muthukumar

    Proc. IEEE SPACE Conference, Bengaluru, India

    Conference

  6. 2026

    TopOT-Net: Topology-preserving medical image segmentation via Sinkhorn divergence-regularized deformable attention

    K. A. Muthukumar

    Proc. 11th Int. Conf. Computer Vision and Image Processing (CVIP), Calicut, India

    Conference

  7. 2026

    Non-invasive fetal electrocardiogram extraction using deep learning and earth mover's distance

    K. A. Muthukumar, R. Anurag, A. Li

    Proc. IEEE Int. Conf. Communications (ICC), Glasgow, U.K.

    Conference

  8. 2025

    Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases

    K. A. Muthukumar, D. Nandi, P. Ranjan, K. Ramachandran, P. J. Shiny, A. Ghosh, M. Ashwini, A. Radhakrishnan, V. E. Dhandapani, R. Janardhanan

    Scientific Reports, vol. 15, art. 4390

    Journal

    doi:10.1038/s41598-025-87634-z

  9. 2024

    Leveraging machine learning techniques to analyze nutritional content in processed foods

    K. A. Muthukumar, S. Gupta, D. Saikia

    Discover Food, vol. 4, no. 1, art. 182

    Journal

    doi:10.1007/s44187-024-00253-x

  10. 2024

    Vision Mamba: Cutting-edge classification of Alzheimer's disease with 3D MRI scans

    K. A. Muthukumar, A. Gurung, P. Ranjan

    arXiv preprint

    Journal, preprint

    doi:10.48550/arXiv.2406.05757 arXiv:2406.05757

  11. 2024

    HRIDAY: ECG tagging at your fingertips using Android app

    A. Ganeshan, S. R. Abishek, P. Deekshith, P. Piyush, K. A. Muthukumar, P. Ranjan

    Proc. Annu. Conf. Cardiological Society of India

    Conference, abstract

  12. 2024

    Exploring vision transformers for enhanced MRI-based Alzheimer's disease classification

    K. A. Muthukumar, A. Gurung, P. Ranjan

    Proc. 3rd Int. Conf. Biologically Inspired Techniques in Many-Criteria Decision-Making (BITMDM), pp. 60-70

    Conference

    doi:10.1007/978-3-031-82706-8_7

  13. 2024

    Enhancing EEG-based brain-computer interfaces through biologically inspired neural networks incorporating Dale's law and Hebbian learning

    K. A. Muthukumar, P. Ranjan

    Proc. 2nd Nature Conf. Neuromorphic Computing, Beijing, China

    Conference, abstract

  14. 2023

    Multi-modal detection of cardiovascular disease at the community level

    K. A. Muthukumar, A. Ganeshan, D. Nandi, P. Ranjan, S. Mohandas, K. Ramachandran, K. N. Kaur, L. Mohanan, J. Swaminathan, H. Solomon, R. Dahiya, R. Kumar, A. Oomman, K. M. Ramkumar, H. Singh, V. E. Dhandapani, R. Janardhanan

    Indian Heart Journal, vol. 75, pp. S76-S77

    Journal, abstract

    doi:10.1016/j.ihj.2023.11.162

  15. 2023

    A multi-modal computational approach to accurate and rapid prediction of cardiovascular health using fundus images

    K. A. Muthukumar, D. Nandi, P. Ranjan, K. Ramachandran, P. J. Shiny, A. Ghosh, M. Ashwini, A. Radhakrishnan, V. E. Dhandapani, R. Janardhanan

    Indian Heart Journal, vol. 75, pp. S9

    Journal, abstract

    doi:10.1016/j.ihj.2023.11.027

  16. 2022

    An infrared array sensor-based approach for activity detection, combining low-cost technology with advanced deep learning techniques

    K. A. Muthukumar, M. Bouazizi, T. Ohtsuki

    Sensors, vol. 22, no. 10, art. 3898

    Journal

    doi:10.3390/s22103898

  17. 2021

    A novel hybrid deep learning model for activity detection using wide-angle low-resolution infrared array sensor

    K. A. Muthukumar, M. Bouazizi, T. Ohtsuki

    IEEE Access, vol. 9, pp. 82563-82576

    Journal

    doi:10.1109/ACCESS.2021.3084926

  18. 2021

    Comparative study of activity detection system using wide angle low-resolution infrared array sensor at different positions

    K. A. Muthukumar, M. Bouazizi, T. Ohtsuki

    Proc. IEICE General Conference

    Conference

  19. 2020

    Activity detection using wide angle low-resolution infrared array sensors

    K. A. Muthukumar, M. Bouazizi, T. Ohtsuki

    Proc. IEICE Society Conference

    Conference

  20. 2020

    Detection of human activity based on hybrid deep learning model using a low-resolution infrared array sensor

    K. A. Muthukumar, M. Bouazizi, T. Ohtsuki

    IEICE Technical Report

    Conference

  21. 2016

    Modified secret sharing algorithm for secured medical data sharing in cloud environment

    K. A. Muthukumar, M. Nandhini

    Proc. 2nd Int. Conf. Science Technology Engineering and Management (ICONSTEM), pp. 67-71

    Conference

    doi:10.1109/ICONSTEM.2016.7560925

Funded, registered, invited

Grants and scholarships from India and Japan, software registered with the Government of India, and the sessions and talks I have been asked to lead.

Total funding, 2008 to 2027

INR8.1M

About ₹81 lakh, across 6 grants and scholarships from India and Japan.

Research grants
INR 3.4M
Scholarships
INR 4.7M
Funded from Japan
69%
  1. MEXT Scholarshipest. JPY 7.8M INR 4.6M 56%
  2. DST-SERB Grant INR 2.2M INR 2.2M 27%
  3. KLL Research Grant JPY 1.8M INR 1.1M 13%
  4. IEEE ComSoc Travel Grant USD 1,930 INR 185K 2%
  5. NHFDC Foundation Scholarshipest. INR 80,000 INR 80K <1%
  6. Post-Matric Scholarshipest. INR 34,800 INR 35K <1%
Converted at ¥1.7 = ₹1 (the rate in JST's FY2026 LOTUS call) and $1 = ₹96 (October 2026). MEXT, NHFDC and Post-Matric figures are estimates from official scheme rates.
Grants and scholarships
YearsAwardAmount
2026IEEE ComSoc Travel GrantIEEE ICC 2026, GlasgowUSD 1,930
2024-27DST-SERB GrantFetal arrhythmia detectionINR 2.2M
2019-22KLL Research GrantKeio UniversityJPY 1.8M
2018-22MEXT ScholarshipMinistry of Education, Culture, Sports, Science and Technology, JapanEstimated total stipend at scheme rates: ¥143,000 a month as a research student (about 18 months) and ¥145,000 on the doctoral course (36 months). Tuition and travel were also covered.JPY 7.8M
2014-16NHFDC Foundation ScholarshipMinistry of Social Justice and Empowerment, Government of IndiaEstimated total at scheme rates: ₹3,000 a month for 10 months a year over two years, plus ₹10,000 a year for books.INR 80,000
2008-12Post-Matric ScholarshipMinistry of Minority Affairs, Government of IndiaEstimated total at scheme rates: ₹570 a month for 10 months a year over four years, plus tuition up to ₹3,000 a year.INR 34,800

Software copyrights

  • SW-2026023145

    Shinkai-Labs Drone Detection and Tracking Platform

    2026, Python, Dart. Owner: Shinkai-Labs Pvt. Ltd.

  • SW-20217/2025

    Sulabh: Disability Indexing App

    2025, AI-based disability indexing and assessment

  • SW-19736/2024

    Hriday: ECG Tagging App

    2024, ECG tagging and clinical support

Copyright Office, Government of India

Session chair

  • 2026IEEE EMBC 2026Toronto, Canada
  • 2024BITMDM 2024Nagaland University, India
  • 2024ICAT 2024National University of Science and Technology, Muscat, Oman
  • 2024IEEE CSNT 2024Jabalpur, India
  • 2023IEEE CSNT 2023Bhopal, India

Invited talks

  • 2023Infrared Imaging in HealthcareIEEE CSNT 2023, Bhopal
  • AI for Everyone, and Recent Advances in AIPATH, New Delhi
  • AI in Micro-GridDayananda Sagar College of Engineering, Bengaluru
  • Image Processing tutorialNagaland University

Award

  • 2021ICM English Session Encouragement AwardIEICE Conference, Japan

Teaching and mentorship

Open to motivated students interested in medical AI, signal processing and optimal transport.

Write about joining the group

Courses

  • Advanced Machine LearningSSN College of Engineering
  • High Performance ComputingSSN College of Engineering
Supervision
Undergraduate, master's and Ph.D. students in AI healthcare and medical imaging, at UPES and SSN.
Faculty development
Faculty development programmes and professional training in machine learning, computer vision and healthcare AI; AI and medical-imaging workshops.

Student achievements

  • 2026A student from my group selected for the JST LOTUS (Basic) Program, Kyushu University.

Write to me

Research collaborations, students who want to join, industry projects in healthcare and vision AI, and India and Japan academic exchange.

muthukumar9890@gmail.com
Email
muthukumar9890@gmail.com
GitHub
github.com/kamuthukumar
LinkedIn
linkedin.com/in/muthukumarka
CV
Curriculum vitae (PDF)
ORCID
0000-0002-7923-3995
Scopus
Author ID 57224309244
Google Scholar
Profile and citations
Shinkai-Labs
shinkai-labs.com