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ORCIDVishal Ahuja
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2020 – today
- 2022
[j7]Vishal Ahuja
, Carlos A. Alvarez, Bradley R. Staats:
An Operations Approach for Reducing Glycemic Variability: Evidence from a Primary Care Setting. Manuf. Serv. Oper. Manag. 24(3): 1474-1493 (2022)- 2021
- [j6]Vishal Ahuja, Carlos A. Alvarez, John R. Birge, Chad Syverson:
Enhancing Regulatory Decision Making for Postmarket Drug Safety. Manag. Sci. 67(12): 7493-7510 (2021) - 2020
- [j5]Vishal Ahuja, John R. Birge:
An Approximation Approach for Response-Adaptive Clinical Trial Design. INFORMS J. Comput. 32(4): 877-894 (2020) - [j4]Vishal Ahuja, Carlos A. Alvarez, Bradley R. Staats:
Maintaining Continuity in Service: An Empirical Examination of Primary Care Physicians. Manuf. Serv. Oper. Manag. 22(5): 1088-1106 (2020)
2010 – 2019
- 2018
- [j3]Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Brian Tierney, Dipak Ghosal:
A Survey of End-System Optimizations for High-Speed Networks. ACM Comput. Surv. 51(3): 54:1-54:36 (2018) - 2017
- [c10]Amit Pande, Vishal Ahuja:
WEAC: Word embeddings for anomaly classification from event logs. IEEE BigData 2017: 1095-1100 - [c9]Susan A. Sherer, Vishal Ahuja, Rajiv Kohli:
Introduction to IT-Enabled Healthcare Coordination Minitrack. HICSS 2017: 1 - 2016
- [j2]Vishal Ahuja, John R. Birge:
Response-adaptive designs for clinical trials: Simultaneous learning from multiple patients. Eur. J. Oper. Res. 248(2): 619-633 (2016) - [j1]Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney:
Improving network performance on multicore systems: Impact of core affinities on high throughput flows. Future Gener. Comput. Syst. 56: 277-283 (2016) - [c8]Ross K. Gegan, Vishal Ahuja, John D. Owens, Dipak Ghosal:
Real-time GPU-based timing channel detection using entropy. CNS 2016: 296-305 - 2014
- [c7]Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney:
Impact of the end-system and affinities on the throughput of high-speed flows. ANCS 2014: 259-260 - [c6]Vishal Ahuja, John R. Birge, Christopher Ryan:
Approximation Methods for Determining Optimal Allocations in Response Adaptive Clinical Trials. ICORES 2014: 460-465 - [c5]Nathan Hanford, Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal, Mehmet Balman, Eric Pouyoul, Brian Tierney:
Analysis of the effect of core affinity on high-throughput flows. NDM@SC 2014: 9-15 - 2013
- [c4]Nathan Hanford, Vishal Ahuja, Mehmet Balman, Matthew K. Farrens, Dipak Ghosal, Eric Pouyoul, Brian Tierney:
Characterizing the impact of end-system affinities on the end-to-end performance of high-speed flows. NDM@SC 2013: 1:1-1:10 - 2012
- [c3]Vishal Ahuja, Matthew K. Farrens, Dipak Ghosal:
Cache-aware affinitization on commodity multicores for high-speed network flows. ANCS 2012: 39-48 - [c2]Vishal Ahuja, Dipak Ghosal, Matthew K. Farrens:
Minimizing the Data Transfer Time Using Multicore End-System Aware Flow Bifurcation. CCGRID 2012: 595-602 - 2011
- [c1]Vishal Ahuja, Amitabha Banerjee, Matthew K. Farrens, Dipak Ghosal, Giuseppe Serazzi:
Introspective end-system modeling to optimize the transfer time of rate based protocols. HPDC 2011: 61-72
Coauthor Index
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