Principal Investigator
Dr. Tuhin Roy
Research interests: Biomechanics, Bioacoustics, Elastography, Inverse Problems, Physics-Informed Machine Learning
Biomechanical Elastography Lab (BEL)
BEL at IIT Bombay, led by Dr. Tuhin Roy, integrates computational and experimental biomechanics to characterize tissue mechanical properties using biomedical imaging such as ultrasound elastography, waveguide modeling, and physics-informed machine learning for healthcare applications.
Based in the Department of Biosciences and Bioengineering (BSBE), IIT Bombay.
News
Recent highlights
- Our lab member, Dr. Asif Raza, has been awarded the prestigious ANRF-NPDF fellowship. We congratulate Dr. Raza on this significant achievement!
- BEL is seeking motivated postdoctoral and doctoral candidates in biomechanics and elastography. View open positions
- Research talks and conference presentations on biomedical acoustics and elastography — follow LinkedIn for upcoming events. LinkedIn: tuhin-roy-acoustics
- New publications are regularly added to Google Scholar. Google Scholar: Tuhin Roy
Research
Our research at the Biomechanical Elastography Lab (BEL) is centered on the development of quantitative imaging methods for probing tissue mechanics across a range of biological systems at the organ level. We combine imaging, biomechanics, and computation to advance elastography-based approaches that are both mechanistically grounded and clinically relevant.
Multimodal Tissue Imaging
We integrate ultrasound with optical, MR, and other complementary imaging modalities to quantify tissue mechanics, perfusion, and poroelastic behavior, with the goal of obtaining richer and more physiologically meaningful markers of tissue health.
Point-of-Care Elastography
We adapt quantitative elastography methods for portable ultrasound platforms, enabling accessible and affordable mechanical imaging beyond major hospital settings and supporting broader point-of-care deployment.
Physics-Informed Computational Modeling
We develop computational frameworks that combine biomechanics, inverse methods, and physics-informed machine learning to recover tissue mechanical property maps from experimental and multimodal elastography data.
Our application areas span both bulk organs and boundary-sensitive tissues. These include organs such as the breast and liver (bulk organs), as well as thin-walled structures such as arteries, veins, bladder wall, cornea, skin, and myocardium wall, where geometry and boundary effects play an important role in mechanical characterization.
Selected publications
- Frequency-Wavenumber Domain Inversion for Arterial Viscoelasticity.
- Assessment of spatially-varying arterial wall stiffness and pressure using a physics-informed neural network and pulse wave imaging.
- 3D finite-element study for multi-frequency harmonic shear wave elastography: shear wave speed contrast assessment and experimental verification.
- Estimation of in vivo human carotid artery elasticity using Arterial Dispersion Ultrasound Vibrometry.
- Full waveform inversion for arterial viscoelasticity.
- Full Wave Simulation of Arterial Response under Acoustic Radiation Force.
- Multimodal guided wave inversion for arterial stiffness: methodology and validation in phantoms.
- Shear wave dispersion analysis of incompressible waveguides.
Full publication list:
Google Scholar ·
Portfolio site
People
Postdoctoral Researcher
Dr. Asif Raza
Research interests: Finite Element, Soft Matter, Constitutive Modelling, Continuum Mechanics, Thermoelasticity, Structural Optimization
PhD Student
Rishav Bandyopadhyay
Research interests: Biomechanics, Ultrasound Elastography
M.Tech Student
Dharmveer Sharma
Research interests: Physics Inspired Machine Learning for BioImaging Applications
M.Tech Student
Kavya Kudari
Research interests: Physics-informed Machine Learning, AI for Healthcare
Intern
Abel George Abraham
Research interests: Physics-Informed Machine Learning, Acoustics
Intern
Aryan Sharma
Research interests: Physics Informed Neural Networks, Computational Modelling
Intern
Gaurish Kishor Khodke
Research interests: Computational Biomechanics, inverse problem
Intern
Prinshu Sharma
Research interests: Biomechanics, Biomedical Signal Processing
Intern
Chaitanya Thakur
Research interests: Physics-informed machine learning
Intern
Kavya Ananth
Research interests: Biomechanics, Tissue Elastography
Intern
Govind Muralidharan
Research interests: Physics-Informed Machine Learning, Scientific Machine Learning
Open Positions
BEL welcomes motivated candidates interested in biomechanics, elastography, and application of physics-informed machine learning approaches for biomedical engineering. Typical openings include postdoctoral fellows (IPDF / external), PhD students, M.Tech projects, and research internships.
Postdoctoral Fellow (IPDF / External)
Skill set
- Background in mechanics, wave propagation.
- Experience with finite element modeling (e.g., Fenics, FEBio, COMSOL, ANSYS, etc.) and numerical PDE solvers.
- Experience with ultrasound imaging or other biomedical imaging modalities is a plus.
- Familiarity with inverse problems including physics-informed machine learning.
Eligibility & remuneration
- PhD in engineering, physics, applied mathematics, or related disciplines.
- Remuneration and duration will follow the relevant fellowship / institute guidelines (as per ANRF / IIT Bombay IPDF norms).
How to apply
- Send a CV and a brief (1–2 page) research statement outlining proposed topics and alignment with BEL.
- Include links to key publications and any relevant code / software contributions.
- Email to tuhin.roy@iitb.ac.in.
PhD, M.Tech, and Research Interns
Skill set
- For PhD: fundamentals in mechanics, ultrasound / acoustics, numerical methods, and programming (MATLAB / Python) related to forward and inverse modeling.
- For M.Tech / interns: interest in biomedical signal/image processing, finite element modeling, physics-informed machine learning.
Eligibility
- PhD: admission through IIT Bombay’s regular PhD program (March for Autumn-semester, and November for Winter-semester admissions).
- M.Tech: admission through IIT Bombay’s M.Tech programs; projects will be allocated based on mutual research interests.
- Interns: typically senior undergraduate / master’s students with strong interest in BEL research themes.
Admission process & contact
- Prospective PhD / M.Tech students should apply through IIT Bombay’s official admission portals and may mention BEL as a preferred lab.
- Interested interns and project students can send a short CV and a paragraph on their research interests to email: tuhin.roy@iitb.ac.in.
Teaching
-
BB 677: Introduction to Biomechanics
Conceptual understanding plus light quantitative work, with explicit biomedical applications each week (tissues, organs, imaging, diagnostics, simple computational experiments). Topics: a) Review of statics, b) Review of SDOF dynamics, c) Solid mechanics (stress, strain, constitutive relations, SFD/BMD, viscoelasticity, poroelasticity), d) Introduction to acoustic waves, e) Applications via research papers and case studies. -
BB 899: Communication Skills (Module: Patent)
This course provides training in scientific writing, presentation, and communication of biomedical research. Among its various components, the Patent Module will be taught by Dr. Tuhin Roy, covering the fundamentals of intellectual property protection and the patenting process.
Contact
Get in touch for collaborations, postdoctoral positions, student projects, and industry or clinical partnerships.
Email:
tuhin.roy@iitb.ac.in
Phone (Office):
+91 22 2576-7720
Office:
CTARA Building, Room No. 12
Department of Biosciences and Bioengineering (BSBE)
Indian Institute of Technology Bombay
Mumbai, Maharashtra, India
External profiles:
IIT Bombay faculty page
Portfolio site
Google Scholar
LinkedIn