Carlos Eduardo de Andrade

Carlos Eduardo de Andrade is a prescriptive analytics and operations research specialist, working with large-scale combinatorial optimization problems using model-driven and custom approaches (including mixed-integer programming, constraint programming, and heuristics). Scheduling changes on hundreds of thousands of nodes in a highly heterogeneous network and optimizing parameters for other hundreds of thousands of 4G and 5G equipment is part of his daily job. Toss other millions of Internet of Things devices and connected cars, and we have very challenging combinatorial optimization problems tackled by Carlos and his colleagues. In his hybrid position, Carlos delivers solutions for his company as much as scientific papers and open-source code for the community, regularly publishing in high-quality venues such as EJOR and SIGCOMM. He is the author of the BRKGA-MP-IPR, the best performant genetic algorithm for real-world applications to date. Carlos has experience with software architecture and production using object-oriented languages, mainly C++, Python, and R, and associated libraries. He supervises master's and Ph.D.\ students in computer science and industrial engineering and acts as a reviewer of several top scientific journals and conferences in the operations research field. He has teaching experience as a professor of computer science for technical and undergraduate students. (Fonte: Currículo Lattes)