Frank Curtis
Professor at Lehigh University
Bethlehem, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolFrank Curtis is a professor and director of the PhD program in Industrial and Systems Engineering at Lehigh University with 17 years of experience advancing numerical analysis and scientific computing. His research specializes in designing and analyzing algorithms for large-scale nonlinear, nonconvex, and nonsmooth optimization problems, often arising from PDE-constrained and mixed-integer applications. He has a strong implementation background from postdoctoral work at the Courant Institute and earlier research at Northwestern, bridging theory with practical solver development. Frank has collaborated with industry (including Intel) on exploiting parallel computation for optimization software, highlighting his interest in scalable computation. Trained with a PhD and MS from Northwestern and a BS in Mathematics and Computer Science from William & Mary, he combines deep mathematical rigor with hands-on coding. Colleagues value his ability to turn challenging continuous optimization theory into usable algorithms for real-world large-scale problems.
17 years of coding experience
17 years of employment as a software developer
Ph.D., Industrial Engineering, Ph.D., Industrial Engineering at Northwestern UniversityBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at William & Mary
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
deterministic9
stochastic9
bugtracking9
constraint8
rubiks-cube7
coin-or7
constraint-programming7
markov-decision-processes7
optimization7
open-access6
solver6
journal6
creative-commons5
constrained-optimization5
academia5
Programming languages (5)
Github contributions (5)
coin-or/filterSD
Jan 2012 - Nov 2015
Contributions:7 commits, 2 comments in 3 years 10 months
frankecurtis/NonOpt
Jun 2019 - Jan 2022
NonOpt: Nonlinear/nonconvex/nonsmooth Optimizer
Contributions:1 release, 41 commits, 1 PR in 2 years 7 months
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