معرفی
Tamás Terlaky is the Alcoa Endowed Chair Professor at the P.C. Rossin College of Engineering and Applied Science, Lehigh University. He also holds adjunct positions at McMaster University's School of Computational Engineering and Science and the University of Pannonia in Hungary, and serves as a Visiting Professor at Strathclyde University's Department of Management Sciences.
Professor Terlaky earned his academic credentials from Eötvös University in Budapest, Hungary, including an M.Sc. in Mathematical Sciences, a Ph.D. in Natural Sciences with specialization in Operations Research, and a Candidate of Mathematical Sciences degree. He further earned a Doctor of the Academy of Sciences from the Hungarian Academy of Sciences and completed his Habilitation at Panon University of Veszprém.
Terlaky's research spans multiple areas of optimization and computing. His primary focus is on Quantum Computing Optimization, where he directs the Quantum Computing and Optimization Laboratory (QCOL). He has pioneered work in Interior Point Methods for linear and nonlinear optimization, Semidefinite Optimization, and various applications of operations research in engineering sciences. His research has practical applications in radiation therapy treatment optimization, nuclear reactor core reloading, oil refinery optimization, and VLSI design. Terlaky's work bridges theoretical foundations with real-world engineering problems, making significant contributions to both academic knowledge and practical implementations.
Throughout his distinguished career, Professor Terlaky has received numerous prestigious awards and recognitions:
- Fellow of the Fields Institute
- Fellow of INFORMS
- Fellow of SIAM
- Fellow of IFORS
- Fellow of the Canadian Academy of Engineering
- Winner of the INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice (2017)
- Winner of the Outstanding Innovation in Service Science Engineering Award of IISE (2019)
- MITACS Mentorship Award for distinguished Ph.D. student supervisory record
- Egerváry Award of the Hungarian Operations Research Society
- Award of Merit of the Canadian Operations Research Society
- Hillman Faculty Award, Lehigh University (2023)
Professor Terlaky has supervised numerous graduate students, with many receiving prestigious awards for their thesis work. His research has been supported by significant grants including a $2.1 million DARPA grant for research in optimization with Noisy Intermediate-Scale Quantum (NISQ) devices, NSF grants, and collaborations with industry partners like SAS and Mitsubishi Research Labs.
As director of the Quantum Computing and Optimization Laboratory (QCOL), Terlaky leads a multidisciplinary team working at the forefront of quantum computing applications. The laboratory focuses on developing new quantum computing techniques for combinatorial optimization problems, creating quantum interior point algorithms, and studying noise control in NISQ devices. Through strong collaborations, QCOL has access to state-of-the-art quantum computing hardware and software.
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