| 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 | 145 | 2021 |
| Ellipsoidal mixed-integer representability A Del Pia, J Poskin Mathematical Programming 172, 351-369, 2018 | 8 | 2018 |
| On the mixed binary representability of ellipsoidal regions A Del Pia, J Poskin Integer Programming and Combinatorial Optimization: 18th International …, 2016 | 7 | 2016 |
| Characterizations of mixed binary convex quadratic representable sets A Del Pia, J Poskin Mathematical Programming 177 (1), 371-394, 2019 | 6 | 2019 |
| 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 |
