Research

My research interests include probabilistic modeling, simulation and optimization from a methodological standpoint, and the majority of my current and previous work involves applying these techniques to solve problems in healthcare delivery, biomedical systems, and health economics. However, I have worked in other areas as well, including applying machine learning and optimization techniques to problems in finance, airport operations, manufacturing automation, etc.

Publications and patents based on research conducted at IIT Delhi are listed below. Publications/patents in healthcare delivery or health economics are indicated with the letter ‘H’; those based on applications in other areas are marked by the letter ‘O’; and publications/patents with one or more methodological contributions are indicated by the letter ‘M’.

Patents

§ Chopra, P., Trehan, V., Madan, K., & Ramamohan, V. (2022) System and method to diagnose respiratory diseases in real-time. Patent number: 409920; application number: 202011024378. Date of filing: 10 June 2020; date of grant: 26 October 2022. (H, M)

Published/accepted

§ Venkataraman, A., Fatma, N., Edirippulige, S., & Ramamohan, V. (2023) Facilitators and barriers for telemedicine systems in India from multiple stakeholder perspectives and settings. ePuB ahead of print, Telemedicine and e-Health. Preprint here. (H)

§ Fatma, N., Girish, P.G., Ramamohan, V. (2023). Simulation and machine learning based real-time delay prediction for complex queuing systems. Accepted, in Hybrid Modelling and Simulation: Conceptualizations, Methods, and Applications. Springer Nature Series in Simulation Foundations, Methods, and Applications. 2023. Editors: Masoud Fakhimi and Navonil Mustafee. Preprint here.

§ Fatma, N., & Ramamohan, V. (2023). Healthcare seeking behavior among patients visiting public primary and secondary healthcare facilities in an urban Indian district: A cross-sectional quantitative analysis. PLOS Global Public Health, 3(9), e0001101. Available here.

§ Sripada, S., Jain, A., Ramamoorthy, P., & Ramamohan, V. (2023). A decision support framework for optimal vaccine distribution across a multi-tier cold chain network. Computers & Industrial Engineering, 109397. Preprint here. (H, M)

§ Mohd, S., Mustafee, N., Madan, K., & Ramamohan, V. (2023). Leveraging multi-tier healthcare facility network simulations for capacity planning in a pandemic. Socio-Economic Planning Sciences, 101660. Preprint here. (H, M)

§ Mohd, S., Mustafee, N., & Ramamohan, V. (2023). An approach towards predicting the computational runtime reduction from discrete-event simulation model simplification operations. In Proceedings of the 2023 Winter Simulation Conference. Available here. (M)

§ Ramamohan, V., Singhal, S., Gupta, A.R., & Bolia, N.B. (2023). Discrete simulation optimization for tuning machine learning method hyperparameters. ePub ahead of print, Journal of Simulation. DOI: 10.1080/17477778.2023.2219401. Preprint here. (M, O)

§ Fatma, N., Ramamohan, V. A generic modeling approach towards simulating an urban primary and secondary healthcare facility network. In Proceedings of the 2023 Annual Modeling and Simulation (ANNSIM) Conference. Available here. (H)

§ Fatma, N., Ramamohan, V. (2023) Patient diversion using real-time delay predictions across healthcare facility networks. OR Spectrum, 45: 437-476. https://doi.org/10.1007/s00291-022-00704-w. Preprint here. (H, M)

§ Khalid, M.A., Bansal, S., & Ramamohan, V. (2023). An augmented formulation for robust design optimization of structures using stochastic simulation method. Research in Engineering Design, 34(2): 179-200. Available here. (O, M)

§ Raman, R., Ramamohan, V., Rathore, A., Jain, D., Mohan, A., & Vashistha, V. (2023). Prevalence of highly actionable mutations among Indian patients with advanced non-small cell lung cancer: a systematic review and meta-analysis. Asia-Pacific Journal of Clinical Oncology, 19(1): 158-171. https://doi.org/10.1111/ajco.13802. (H)

§ Fatma, N., & Ramamohan, V. (2022). Outpatient diversion using real-time length-of-stay predictions. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES, pages 56-66. DOI: 10.5220/0010837400003117. Preprint here. (H, M)

§ Gupta, S., Mittal, C., Das, S., Shriyam, S., Batra, A & Ramamohan, V. A simulation model of breast cancer incidence, progression, diagnosis and survival in India. In Proceedings of the 2021 Winter Simulation Conference. Available here. (H, M)

§ Das, S., Mustafee, N., & Ramamohan, V. A discrete simulation optimization approach towards calibration of an agent-based simulation model of hepatitis C virus transmission. In Proceedings of the 2021 Winter Simulation Conference. Available here. (H, M)

§ Sen, D., Ramamoorthy, P., & Ramamohan, V. Optimal minimal-contact routing of randomly arriving agents through connected networks. In Proceedings of the 2021 Winter Simulation Conference. Available here. (M)

§ Shoaib, M., & Ramamohan, V. (2022). Simulation modelling and analysis of primary health centre operations. Simulation: Transactions of the Society for Modeling & Simulation International, 98(3): 183-208. DOI: https://doi.org/10.1177/00375497211030931. Preprint here. (H, M)

§ Fatma, N., & Ramamohan, V. Patient diversion across primary health centers using real time delay predictors. In Proceedings of the 2021 IISE Annual Conference. Preprint here. (H, M)

§ Shoaib, M., & Ramamohan, V. Simulation Modelling and Analysis of Community Health Centre Operations. In Proceedings of the 2021 IISE Annual Conference. Preprint here. (H)

§ Fatma, N., Mohd, S., Ramamohan, V., & Mustafee, N. Primary healthcare delivery network simulation using stochastic metamodels. In 2020 Winter Simulation Conference, pp. 818-829. IEEE Press. Invited paper. Available here. (H, M)

§ Baldwa, V., Sehgal, S., Ramamohan, V., & Tandon, V. A combined simulation and machine learning approach for real-time delay prediction for waitlisted neurosurgery candidates. In 2020 Winter Simulation Conference, pp. 956-967. IEEE Press. Available here. (H, M)

§ Shoaib, M., Prabhakar, U., Mahlawat, S., & Ramamohan, V. (2022). A discrete-event simulation model of the kidney transplantation system in Rajasthan, India. Health Systems, 11(1): 30-47. DOI: 10.1080/20476965.2020.1848355. Preprint here. (H)

§ Singh, H., & Ramamohan, V. (2020). A model-based investigation into urban-rural disparities in tuberculosis treatment outcomes under the Revised National Tuberculosis Control Programme in India. PLoS ONE, 15(2), e0228712. DOI: https://doi.org/10.1371/journal.pone.0228712. (H)

§ Das, S., Sen, D., Ramamohan, V., & Sood, A. An agent-based model of hepatitis C virus transmission dynamics in India. In 2019 Winter Simulation Conference, pp. 984-995. IEEE Press. Available here. (H)

§ Vardhan, U., & Ramamohan, V. A simulation optimization approach to optimal calibrator level selection for clinical immunoassays. In 2018 Winter Simulation Conference, pp. 2471-2482. IEEE Press. Available here. (H)

Under review/revision

§ Narula, A., Ramamoorthy, P., & Ramamohan, V. (2023). Minimal contact routing across connected networks for stochastically arriving agents: a mixed integer linear programming framework. Under review. Preprint here. (M, O).

§ Fatma, N., & Ramamohan, V. (2023). Analysis of stakeholder perception towards existing and potential referral mechanisms in an urban context. Under review. Preprint here. (H)

§ Mohd, S., Mustafee, N., Madan, K., & Ramamohan, V. (2022). An empirical evaluation of a two-stage healthcare facility location approach using simulation optimization and mathematical optimization. Under review. Preprint here. (H, M)

§ Chopra, P., Trehan, V., Madan, K., & Ramamohan, V. (2021). An expert-assisted chest radiograph classification tool to differentiate between active tuberculosis and healed tuberculosis sequelae. Under review. Preprint here. (H, M)

§ Ramamohan, V., Agrawal, U., & Goyal, M. (2021). A note on the stochastic ruler method for discrete simulation optimization. Under review. Preprint here. (M)

§ Ramamohan, V., Goyal, N., Parth, P., Mahlawat, S., & Prabhakar, U. (2021). A framework for utilizing stock trend prediction outputs in stock selection and portfolio optimization. Under review. Preprint here. (O, M)

§ Sen, D., Goyal, K., Ghosh, A., & Ramamohan, V. (2021). Discriminatory price mechanism for smart grid. Under review. Preprint here. (O, M)

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