SECQUOIA Research Group

Who are we?

Systems Engineering, Optimization, and Emerging Computing

SECQUOIA (Systems Engineering via Classical and Quantum Optimization for Industrial Applications), led by Prof. David E. Bernal Neira at Purdue University, develops rigorous algorithms and open-source software for discrete-continuous optimization, process systems engineering, quantum computing, and scientific AI.

Research & Impact

We unify mathematical programming theory, computational benchmarking, and software engineering across classical high-performance computing, GPUs, artificial intelligence, and quantum hardware—tackling problems in chemical process design, energy and infrastructure networks, molecular modeling, and decision-making under uncertainty. Read more in our Mission & Vision.

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See also our Purdue Davidson School of Chemical Engineering directory page: engineering.purdue.edu/SECQUOIA.