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Jeff Poskin
Jeff Poskin
Applied Mathematics, Boeing Research & Technology
Verified email at boeing.com - Homepage
Title
Cited by
Cited by
Year
Data-driven aerospace engineering: reframing the industry with machine learning
SL Brunton, J Nathan Kutz, K Manohar, AY Aravkin, K Morgansen, ...
AIAA Journal 59 (8), 2820-2847, 2021
1992021
Ellipsoidal mixed-integer representability
A Del Pia, J Poskin
Mathematical Programming 172, 351-369, 2018
82018
Characterizations of mixed binary convex quadratic representable sets
A Del Pia, J Poskin
Mathematical Programming 177 (1), 371-394, 2019
72019
On the mixed binary representability of ellipsoidal regions
A Del Pia, J Poskin
Integer Programming and Combinatorial Optimization: 18th International …, 2016
72016
Nesting methods and computer-controlled machine tools for cutting objects from a workpiece
A Krishnan, N Maiti, D Visaalaakshi, K Shetty, S Varghese, JD Poskin, ...
US Patent App. 18/171,199, 2024
2024
Calculating, storing, and retrieving high-accuracy aircraft performance data
MD Mccabe, JD Poskin
US Patent App. 17/990,391, 2024
2024
Modeling system for 3d virtual model
M Drumheller, PZ Thunemann, CS Bosma, JD Poskin, T Winfree
US Patent App. 17/812,996, 2024
2024
Decontamination of a surface of a material
AG Dunlap, JD Poskin, S Basu
US Patent App. 17/653,707, 2023
2023
Modeling based on constraints
JD Poskin, TA Hogan-schmidt, JMX Gablonsky, TA Grandine
US Patent App. 17/838,620, 2022
2022
Fiber path planning to reduce in-plane curvature
AW Blom-Schieber, T Winfree, JD Poskin
US Patent 11,436,390, 2022
2022
Representability in Mixed Integer Quadratic Programming
J Poskin
University of Wisconsin--Madison, 2017
2017
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