Manivannan Muniyandi

About

Dr.Manivannan a professor of Biomedical Engineering in IIT Madras, Department of Applied Mechanics. He received post-doctoral training at the Massachusetts Institute of Technology (MIT) in Cambridge. He was a visiting scientist at the Massachusetts General Hospital (MGH) of Harvard Medical School (HMS) in Boston, and a visiting faculty in the Christian Medical College (CMC) Vellore. Before MIT and Harvard, he received another post-doctoral training at the National Institute of Standards and Technology (NIST) Maryland. Before joining IIT Madras in Jun 2005, he was serving as a chief software architect of Yantric Inc., a spin-off company of MIT Touchlab, in Cambridge MA. In 2005 Dr.Manivannan has setup the first Touchlab in India at IIT Madras, which is also known as Haptics Lab. He holds PhD and ME degrees from the Indian Institute of Science (IISc), Bangalore.

Employment

• Indian Institute of Technology Madras Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (188)

• Designing XR Training Simulator for Neonatal Echocardiography: Dynamic Ultrasound-Based Visualization
  2026 DOI: 10.1007/978-3-032-13012-9_19
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• Sphar -whisker: Analysis of a bio-inspired design for the follicle sinus complex
  International Journal for Computational Methods in Engineering Science and Mechanics 2025 DOI: 10.1080/15502287.2025.2606699
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• Objective Assessment of Laparoscopic Skills Using Fitts’ Law in Virtual Reality Simulations
  International Journal of Human–Computer Interaction 2025 DOI: 10.1080/10447318.2025.2499166
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• Many-fold Performance Enhancement of Flexible Capacitive Force Sensor Response using a Thin Graphene Oxide Layer
  2025 IEEE 7th International Conference on Emerging Electronics (ICEE) 2025 DOI: 10.1109/icee67165.2025.11409789
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• Haptics of Pulse Palpation: Simulation and Validation Through Novel Sensor-Actuator System
  IEEE Transactions on Haptics 2025 DOI: 10.1109/TOH.2025.3604476
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• Application-Aware Real-Time Network Resource Allocation for Industry 5.0
  IEEE Transactions on Cognitive Communications and Networking 2025 DOI: 10.1109/TCCN.2024.3504474
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• Early identification and enhanced assessment of learning disabilities: A review
  Applied Neuropsychology: Child 2025 DOI: 10.1080/21622965.2025.2482754
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• Co-producing mindful tactile technologies for healthy ageing: Cross-cultural insights from India and the UK
  DIGITAL HEALTH 2025 DOI: 10.1177/20552076251349909
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• DOF-GS:Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removal
  Arxiv 2025
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• Separating Intrinsic and Extrinsic Responses of Whisker Sensors Using Accelerometer
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3452206
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