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Courses

ChemE 6820: AI for Materials (Spring 2025)

This course focuses on the application of artificial intelligence (AI) in materials science. Students will explore how AI and machine learning techniques can accelerate the design, discovery, and optimization of materials for energy storage, conversion, and sustainability. Key topics include using AI to predict material properties, enhance materials synthesis, and model complex material behaviors. The course emphasizes practical applications of deep learning models in materials science, featuring hands-on projects and case studies from recent research. Students will also discuss the challenges and opportunities of applying AI to advance innovations in materials science.

SysEn 5888/6888: Deep Learning (Summer 2019, 2020, 2021; Fall 2023; Spring 2025)

ChemE 6810: AI for Sustainability (Spring & Fall 2025)

SysEn 5800/6800: Computational Optimization (Fall 2017, 2018, 2019, 2020, 2021, 2022, 2024)

SysEn 6880: Industrial Big Data Analytics & Machine Learning (2018, 2019, 2020, 2021, 2022, 2023)

ChemE 6860/SysEn 5860: Quantum Computing and Artificial Intelligence (Spring 2021)

ORIE 3310/5310: Optimization II (Summer 2018, 2019, 2020)

EngrG 1050: Engineering Seminar (2016, 2020)

ChemE 4620: Chemical Process Design (2017, 2018)

ChBE 352: Chemical Engineering Design (2012, 2013, 2014, 2015, 2016)

ChBE 345: Process Optimization (2012, 2013, 2014, 2015)

ChBE 322: Heat Transfer (2016)

Cornell University Art Quad