Mahesh Nandyala

I’m a researcher with a Ph.D. in Mechanical Engineering, passionate about using computational modeling to address real-world healthcare challenges. My background includes developing simulation models for magnetic nanoparticle hyperthermia to better understand how nanoparticles and heat spread within tissues—knowledge essential for enhancing treatment precision. In my current work, I’m building models to predict drug distribution in breast cancer, working directly with patient MRI data to help tailor and optimize therapies. I’m excited to bring this blend of data-driven insights and patient-centered research to industry, where I hope to contribute to advancements that make a meaningful difference in patients' lives.

• Integrated Mathematical Oncology Workshop-12 on Toxicity at Moffit Cancer Center, Tampa, USA. 11/02/2024-11/08/2024
• Digital Twin Summit at MD Anderson Cancer Center, Houston, USA. 06/13/2024
• 4th Annual Research Retreat of the Joint Center for Computational Oncology at MD Anderson Cancer Center, Houston, USA. 11/15/2023

• Received a travel grant for the IMO Workshop V12.0 - Toxicity (2024) 10/15/2024

Journals Conferences

1. Nandyala M., Singh N., Talukdar P. A mathematical model of intratumoral infusion, particle distribution and heat transfer in cancer tumors: In-silico investigation of magnetic nanoparticle hyperthermia. International Journal of Thermal Sciences, Volume 183, Article 107887, January 2023.

2. Nandyala M., Singh N., Talukdar P. Investigation of a breast cancer magnetic hyperthermia through mathematical modeling of intratumoral nanoparticle distribution and temperature elevations. Thermal Science and Engineering Progress, Volume 40, Article 101756, 1 May 2023.

3. Nandyala M., Singh N., Talukdar P. In-silico investigation of magnetic nanoparticle hyperthermia treatment to estimate the power density and concentration required to achieve the therapeutic effect. International Communications in Heat and Mass Transfer, Volume 137, Article 106295, October 2022.

4. Nandyala M., Singh N., Talukdar P. A mathematical model for understanding nanoparticle biodistribution after intratumoral injection in cancer tumors. Journal of Drug Delivery Science and Technology, Volume 68, Article 103048, February 2022.

5. Rajput B., Nandyala M., Rathour R., Das T., Ray B., Das A., Talukdar P. Performance analysis of multilayer flame-retardant fabric ensembles for different exposure conditions using numerical modeling. The Journal of The Textile Institute, Volume 115(2), Pages 218–227, 2022.

1. Nandyala, M., El-Gendy, A. A., Wu, C., Stafford, R. J., Hazle, J. D., Fuentes, D. T., Yankeelov, T. E. "Computational modeling of magnetic nanoparticle hyperthermia to predict the distribution of intratumoral temperatures: Preliminary study." Society for Thermal Medicine Annual Meeting Houston, TX, USA, 2024.

2. Kukreja, R., Nandyala, M."Experimental and Numerical Investigations on Thermal Conductivity of Al2O3/Ethylene Glycol Water and TiO2/Ethylene Glycol Water Nanofluids." International Congress of Refrigeration (ICR 2019), Montreal, Canada, 2019

• Thomas E. Yankeelov, Ph.D., Professor and Director, Center for Computational Oncology, The University of Texas at Austin, Austin, TX, USA, thomas.yankeelov@utexas.edu, +1 521 471 1733
• David T. Fuentes, Ph.D., Associate Professor, Department of Imaging Physics - Research, MD Anderson Cancer Center, Houston, TX, USA, DTFuentes@mdanderson.org, +1 512 791 1996
• Prabal Talukdar, Ph.D., Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, India, prabal@iitd.ac.in, +91 9818239503
• Neetu Singh, Ph.D., Associate Professor, Center for Biomedical Engineering, Indian Institute of Technology Delhi, Delhi, India, sneetu@iitd.ac.in, +91 8588826092