Harsha Honnappa
Business, Management and Accounting · Purdue University West Lafayette
Publications
81
Citations
184
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2008
Harsha Honnappa works on mathematical models for randomness and decision-making, including queueing theory (how waiting lines and service systems behave), stochastic processes (systems that evolve unpredictably over time), and statistical estimation methods for Markov chains and point processes. Much of the work combines probability theory with optimization and filtering techniques to help estimate and control systems that involve uncertainty, such as service systems, revenue management, and noisy dynamic models. This research is mathematically technical and often draws on tools from probability, statistics, and stochastic control theory.
Publication counts rose through 2017-2021, dipped to a lower, steadier pace from 2022-2025, and increased again in 2026, suggesting a somewhat variable but ongoing output over the last decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The Pontryagin maximum principle and $Q$-functions in rough environments
arXiv (Cornell University) · 2026
- The Pontryagin maximum principle and $Q$-functions in rough environments
arXiv (Cornell University) · 2026
- Robust Filtering of Lévy-driven Stochastic Models
Open MIND · 2026
- Robust Filtering of Lévy-driven Stochastic Models
arXiv (Cornell University) · 2026
- Neural Diffusion Intensity Models for Point Process Data
Open MIND · 2026
- Neural Diffusion Intensity Models for Point Process Data
arXiv (Cornell University) · 2026
- The Variational Approach in Filtering and Correlated Noise
arXiv (Cornell University) · 2026
- The Variational Approach in Filtering and Correlated Noise
arXiv (Cornell University) · 2026
- Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity
Operations Research · 2025
- Adaptive Estimation of the Transition Density of Controlled Markov Chains
arXiv (Cornell University) · 2025
- A stochastic optimization algorithm for revenue maximization in a service system with balking customers
Open MIND · 2025
- A stochastic optimization algorithm for revenue maximization in a service system with balking customers
arXiv (Cornell University) · 2025
- The Small-Noise Limit of the Most Likely Element is the Most Likely Element in the Small-Noise Limit
Latin American Journal of Probability and Mathematical Statistics · 2024
- Renewal Processes Represented as Doubly Stochastic Poisson Processes
ArXiv.org · 2024
- Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency
SIAM Journal on Optimization · 2023
- arXiv (Cornell University)×35
- Queueing Systems×3
- Open MIND×3
- Mathematics of Operations Research×2
- Operations Research×2
- J. George Shanthikumar
Business, Management and Accounting · Purdue University West Lafayette
- Xiaoshan Peng
Business, Management and Accounting · Indiana University
- W. Henderson
Business, Management and Accounting · Indiana University
- Cathy H. Xia
Business, Management and Accounting · The Ohio State University
- Pengyi Shi
Health Professions · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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