We are an interdisciplinary Systems Engineering and Data Science research group. Our research focuses on advanced computational models, optimization algorithms, statistical machine learning methods, and multi-scale systems and data analytics tools for smart manufacturing, digital agriculture, quantum computing, energy systems, and sustainability. The research work at Process-Energy-Environmental Systems Engineering (PEESE) lab provides a balance between theory, computation and real world applications.