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Ruben Martins is an Assistant Research Professor at Carnegie Mellon University. His interests lie in the intersection of constraint programming with program synthesis, analysis, and verification. His recent research focuses on using programming synthesis to improve programmer’s productivity and to automate data science-related tasks. Ruben received his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013). He was a postdoctoral researcher at the University of Oxford, UK (2014-2015), and a postdoctoral researcher at UT Austin (2015-2017). He has published in top-tier venues, including, POPL, PLDI, FSE, SAT, CP, and has won a distinguished paper award at PLDI 2018 for his work on program synthesis. He has also developed several award-winning constraint solvers and is the main developer of Open-WBO: an open-source Maximum Satisfiability (MaxSAT) solver that won several gold medals in MaxSAT competitions. Open-WBO is used to solve many real-world discrete optimizations problems including finding an optimal seating arrangement for his own wedding.
|ESEC/FSE 2022||AlloyMax: Bringing Maximum Satisfaction to Relational Specifications|
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