Lakshminarayanan Subramanian
New York University · Computer Science
Active 2000–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Computer Science
- Mathematics
- Mathematical optimization
- Econometrics
- Statistics
Selected publications
Breakthroughs and Applications of Organ-on-a-Chip Technology
Cells · 2022-06-02 · 99 citations
reviewOpen accessOrgan-on-a-chip (OOAC) is an emerging technology based on microfluid platforms and in vitro cell culture that has a promising future in the healthcare industry. The numerous advantages of OOAC over conventional systems make it highly popular. The chip is an innovative combination of novel technologies, including lab-on-a-chip, microfluidics, biomaterials, and tissue engineering. This paper begins by analyzing the need for the development of OOAC followed by a brief introduction to the technology…
A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions
Management Science · 2020 · 41 citations
Mixture models are versatile tools that are used extensively in many fields, including operations, marketing, and econometrics. The main challenge in estimating mixture models is that the mixing distribution is often unknown, and imposing a priori parametric assumptions can lead to model misspecification issues. In this paper, we propose a new methodology for nonparametric estimation of the mixing distribution of a mixture of logit models. We formulate the likelihood-based estimation problem as…
The Importance of Long-term Care Populations in Models of COVID-19
JAMA · 2020-06-06 · 38 citations
articleThis Viewpoint discusses the importance of distinguishing rates and patterns of disease in long-term care vs general populations when developing mathematical models to predict the future spread of COVID-19 infection.
Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices
Manufacturing & Service Operations Management · 2024-03-20 · 10 citations
articleOpen accessProblem definition: Commodity prices have exhibited significant volatility in recent times, which poses an exogenous risk factor for commodity-processing and commodity-trading firms. Accurate commodity price forecasts can help firms leverage data-driven procurement policies that incorporate the underlying price volatility for financial and operational hedging decisions. However, historical prices alone are insufficient to obtain reasonable forecasts because of the extreme volatility. Methodology…
PLOS Global Public Health · 2024-11-04 · 4 citations
articleOpen accessSenior authorCorrespondingDuring the COVID-19 pandemic, hospitals were challenged to provide both COVID-19 and non-COVID treatment. A survey questionnaire was designed and distributed via email to hospitals empanelled under the Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana(AB-PMJAY), the world's largest National Health Insurance Scheme. Telephonic follow-ups were used to ensure participation in places with inadequate internet. We applied support vector regression to quantify the hospital variables that affected the us…
Recent grants
Collaborative Research: NECO: Designing Intermittency-Aware Networked Systems
NSF · $285k · 2008–2011
CAREER: A Low-Cost Efficient Wireless Architecture for Rural Network Connectivity
NSF · $410k · 2009–2014
Frequent coauthors
- 34 shared
Jay Chen
- 28 shared
Ashwin Venkataraman
University of Dallas
- 27 shared
Yasir Zaki
- 24 shared
Ananth Balashankar
- 22 shared
Khader Shameer
Imperial College London
- 20 shared
Ashlesh Sharma
- 19 shared
Srikanth Jagabathula
- 19 shared
Shiva R. Iyer
Education
- 2005
PhD, EECS
University of California Berkeley
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