Dr. Mahesh Nandyala

Assistant Professor
School of Biomedical Engineering
Email:
mahesh.bme@iitbhu.ac.in
Phone(s):
+91 8500 687838
Website:
Area of Interest:
Computational Oncology | Biomedical Transport Phenomena | Biofluidmechanics | Thermal Therapies | Medical Imaging | Precision Medicine

Dr. Mahesh Nandyala is an Assistant Professor in the School of Biomedical Engineering at the Indian Institute of Technology (BHU), Varanasi. His research lies at the intersection of engineering, biology, and medicine, with a focus on developing computational and quantitative approaches to address challenges in healthcare. His work combines mathematical modeling, transport phenomena, biomechanics, medical imaging, and data-driven methods to understand complex biological systems and improve diagnosis, treatment planning, and therapeutic outcomes.

Prior to joining IIT (BHU), he served as a Joint Postdoctoral Fellow at The University of Texas at Austin and The University of Texas MD Anderson Cancer Center, USA, where he worked on computational oncology, cancer treatment response prediction, magnetic nanoparticle hyperthermia, and image-based modeling for precision medicine.

His long-term research vision is to develop physics-based and computational frameworks that bridge engineering, biology, and medicine to enable next-generation healthcare technologies and personalized treatment strategies.

Degree

Institution

Ph.D. in Mechanical Engineering

Indian Institute of Technology Delhi, India

M.Tech. in Mechanical Engineering

Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India

B.Tech. in Mechanical Engineering

Rajiv Gandhi University of Knowledge Technologies, Andhra Pradesh, India

Undergraduate Courses

  • BME302 – Biomechanics
  • BME321 – Sports Biomechanics

Postgraduate Courses

  • MD505 – Biomechanics

Student Projects

Students interested in B.Tech., Dual Degree, M.Tech., and interdisciplinary research projects are encouraged to contact me regarding potential opportunities.

Overview

Our research focuses on developing computational, mathematical, and engineering approaches to address challenges in healthcare and biomedical sciences. We integrate principles from transport phenomena, medical imaging, thermal sciences, and data-driven modeling to understand complex biological systems and develop predictive tools for diagnosis, treatment planning, and precision medicine.

Research Areas

Computational Oncology and Precision Medicine

Development of patient-specific computational models to understand cancer progression, predict treatment response, and support personalized therapeutic strategies.

Biomedical Transport Phenomena and Thermal Therapies

Investigation of heat, mass, momentum, and drug transport in biological systems, with applications to hyperthermia, magnetic nanoparticle-mediated therapies, and targeted treatment delivery.

Medical Image-Based Modeling and Physiological Systems

Integration of quantitative medical imaging with mathematical and mechanistic models to characterize physiological processes, disease progression, and treatment outcomes.

Data-Driven Biomedical Engineering

Development of inverse modeling, parameter estimation, uncertainty quantification, and machine learning approaches for biomedical data analysis and predictive healthcare applications.

Ph.D. Positions

Ph.D. positions are available to eligible candidates interested in pursuing research in computational oncology, biomechanics, biomedical transport phenomena, thermal therapies, medical imaging, and related interdisciplinary fields.

Applicants must satisfy the eligibility requirements prescribed by IIT (BHU) and apply through the Institute's official Ph.D. admission process.

Postdoctoral Opportunities

I am open to hosting postdoctoral researchers interested in applying for independent fellowships from national and international funding agencies, including:

  • ANRF National Postdoctoral Fellowship (ANRF-NPDF)
  • CSIR Research Associateship
  • DBT Research Associateship (DBT-RA)
  • ICMR Postdoctoral Fellowship
  • Institute Postdoctoral Fellowship (IPDF)
  • Other relevant fellowship schemes

Interested candidates should email their updated CV, publication list, and a brief research statement.

Undergraduate and Master's Research Opportunities

Highly motivated B.Tech., Dual Degree, and M.Tech. students interested in research are encouraged to contact me regarding semester projects, summer internships, and thesis opportunities.