Vishal Ahuja

20 papers A 1B 1C 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Predicting Pediatric Surgical Case Duration Using Machine Learning: Leveraging Team Dynamics and Operational Features.
HICSS
Katherine Adams, Yang Yang, Gian-Gabriel P. Garcia, Arka Roy, Xin-Li Leong, Dai Chung, Vishal Ahuja
2026 J jnl
When Does Collocation of Physical and Mental Health Services Matter?
Manuf. Serv. Oper. Manag.
Vishal Ahuja, Carlos A. Alvarez, Bradley R. Staats
2025 J jnl
The Role of Route-Level Decisions in the Efficiency and Resilience of Airline Operations: Evidence from the Wright Amendment Repeal.
Manuf. Serv. Oper. Manag.
Vishal Ahuja, Yasin Alan, Mazhar Arikan
2022 J jnl
An Operations Approach for Reducing Glycemic Variability: Evidence from a Primary Care Setting.
Manuf. Serv. Oper. Manag.
Vishal Ahuja, Carlos A. Alvarez, Bradley R. Staats
2021 J jnl
Enhancing Regulatory Decision Making for Postmarket Drug Safety.
Manag. Sci.
Vishal Ahuja, Carlos A. Alvarez, John R. Birge, Chad Syverson
2020 J jnl
An Approximation Approach for Response-Adaptive Clinical Trial Design.
INFORMS J. Comput.
Vishal Ahuja, John R. Birge
2020 J jnl
Maintaining Continuity in Service: An Empirical Examination of Primary Care Physicians.
Manuf. Serv. Oper. Manag.
Vishal Ahuja, Carlos A. Alvarez, Bradley R. Staats
2018 J jnl
A Survey of End-System Optimizations for High-Speed Networks.
ACM Comput. Surv.
Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Brian Tierney, Dipak Ghosal
2017 — conf
Introduction to IT-Enabled Healthcare Coordination Minitrack.
HICSS
Susan A. Sherer, Vishal Ahuja, Rajiv Kohli
2017 — conf
WEAC: Word embeddings for anomaly classification from event logs.
IEEE BigData
Amit Pande, Vishal Ahuja
2016 J jnl
Improving network performance on multicore systems: Impact of core affinities on high throughput flows.
Future Gener. Comput. Syst.
Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney
2016 — conf
Real-time GPU-based timing channel detection using entropy.
CNS
Ross K. Gegan, Vishal Ahuja, John D. Owens, Dipak Ghosal
2016 J jnl
Response-adaptive designs for clinical trials: Simultaneous learning from multiple patients.
Eur. J. Oper. Res.
Vishal Ahuja, John R. Birge
2014 — conf
Analysis of the effect of core affinity on high-throughput flows.
NDM@SC
Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney
2014 C conf
Approximation Methods for Determining Optimal Allocations in Response Adaptive Clinical Trials.
ICORES
Vishal Ahuja, John R. Birge, Christopher Ryan
2014 — conf
Impact of the end-system and affinities on the throughput of high-speed flows.
ANCS
Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney
2013 — conf
Characterizing the impact of end-system affinities on the end-to-end performance of high-speed flows.
NDM@SC
Nathan Hanford, Vishal Ahuja, Mehmet Balman, Matthew K. Farrens, Dipak Ghosal, Eric Pouyoul, Brian Tierney
2012 — conf
Cache-aware affinitization on commodity multicores for high-speed network flows.
ANCS
Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal
2012 B conf
Minimizing the Data Transfer Time Using Multicore End-System Aware Flow Bifurcation.
CCGRID
Vishal Ahuja, Dipak Ghosal, Matthew K. Farrens
2011 A conf
Introspective end-system modeling to optimize the transfer time of rate based protocols.
HPDC
Vishal Ahuja, Amitabha Banerjee, Matthew K. Farrens, Dipak Ghosal, Giuseppe Serazzi