Carl Laird
· Department Head and John E. Swearingen ProfessorCarnegie Mellon University · Chemical Engineering
Active 1995–2026
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About
The page does not contain a specific biography or detailed research description for Professor Carl Laird. It primarily lists current students, former students, post-docs, research staff, and undergraduate members associated with the department or research group. Therefore, there is no available information to generate a biography based on the provided content.
Research topics
- Computer Science
- Engineering
- Systems engineering
- Distributed computing
- Mathematics
- Machine Learning
- Artificial Intelligence
- Computer engineering
- Algorithm
- Mathematical optimization
Selected publications
Computers & Chemical Engineering · 2024-11-22 · 6 citations
articleOpen accessMultiscale optimization problems require the interconnection of several models of distinct phenomena which occur at different scales in length or time. However, the best model for any particular phenomenon may not be amenable to rigorous optimization techniques. For instance, molecular interactions are often modeled by computational chemistry software packages that cannot be easily converted into optimization constraints. Data-driven surrogate models can overcome this problem. By choosing surrog…
Utilizing modern computer architectures to solve mathematical optimization problems: A survey
Computers & Chemical Engineering · 2024 · 5 citations
Industrial & Engineering Chemistry Research · 2025-04-11 · 3 citations
articleOpen accessSenior authorconcentrations, while the second case study focuses on a water desalination process, where we design a family of these processes for a variety of salt concentrations and flow rates. In both of these case studies, our approach based on ML surrogates is able to find optimal solutions in reasonable computational time and yield solutions comparable to those of a previously reported approach for solving the problem.
Energy & Fuels · 2025-02-03 · 3 citations
articleOpen accessThe success of a future clean hydrogen infrastructure will depend on technology performance, operating conditions, and system configuration, which will be integrated to meet specific end-use requirements. We introduce a Systems-to-Atoms framework to cosimulate material, device, and system design for clean hydrogen storage and transport. We present a demonstration scenario in which hydrogen is distributed using a liquid organic hydrogen carrier to 700 bar refueling stations. Cross-scale analysis…
Beyond the fourth paradigm of modeling in chemical engineering
Nature Chemical Engineering · 2025-01-22 · 2 citations
articleSenior author
Recent grants
Frequent coauthors
- 67 shared
John Daniel Siirola
Sandia National Laboratories
- 67 shared
Jean‐Paul Watson
Lawrence Livermore National Laboratory
- 56 shared
Michael Bynum
- 55 shared
William E. Hart
Imperial College London
- 46 shared
David L. Woodruff
University of Delaware
- 45 shared
Bethany L. Nicholson
- 41 shared
Gabriel A. Hackebeil
- 31 shared
Lorenz T. Biegler
Carnegie Mellon University
Labs
Education
- 2000
B.S., Chemical Engineering
University of Alberta
- 2006
Ph.D., Chemical Engineering
Carnegie Mellon University
Awards & honors
- Carnegie Mellon College of Engineering 2024 Steven J. Fenves…
- INFORMS Computing Society Prize
- CAST Division Outstanding Young Researcher Award
- National Science Foundation Faculty Early Development (CAREE…
- Montague Center for Teaching Excellence Award
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