{"id":16,"date":"2020-02-18T04:05:58","date_gmt":"2020-02-18T09:05:58","guid":{"rendered":"https:\/\/quantum-computing.lehigh.edu\/?page_id=16"},"modified":"2025-12-22T01:18:44","modified_gmt":"2025-12-22T06:18:44","slug":"faculty","status":"publish","type":"page","link":"https:\/\/quantum-computing.lehigh.edu\/index.php\/faculty\/","title":{"rendered":"People"},"content":{"rendered":"\n
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Tam\u00e1s Terlaky<\/h2>\n\n\n\n

Tam\u00e1s Terlaky is the George N. and Soteria Kledaras \u201987 Endowed Chair Professor, Industrial, and Systems Engineering Department, Lehigh University.<\/p>\n\n\n\n

Terlaky brings to the team his fundamental expertise in interior-point methods, perceptron-like, and high-performance computational optimization algorithms. Terlaky is co-author of seminal work in copositive optimization, where conic optimization, techniques beyond semidefinite optimization are used to address difficult combinatorial problems. <\/p>\n\n\n\n

Terlaky\u2019s expertise is crucial for the group\u2019s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the study of numerical complexity in Quantum Computing, and the use of Conic Optimization in Quantum Information theory. Currently, Terlakys\u2019s research is looking at developing and studying the complexity of Quantum Interior Point Methods.<\/p>\n\n\n\n

Email:<\/strong> tat208@lehigh.edu<\/a><\/p>\n\n\n\n

Phone Number:<\/strong> (610) 758-2903<\/p>\n\n\n\n

Online:<\/strong> https:\/\/cor<\/a>al.ise.lehigh.edu\/terlaky <\/a><\/p>\n\n\n\n

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Luis Zuluaga<\/h2>\n\n\n\n

Luis F. Zuluaga is Associate Professor, Industrial and Systems Engineering, Lehigh University <\/p>\n\n\n\n

Zuluaga brings to the team his fundamental expertise in general Conic Optimization, particularly in copositive and polynomial optimization. These techniques are crucial to enlarge the class of problems that can be addressed with Quantum Interior Point Methods. Zuluaga also brings knowledge of quantum mechanics and different decomposition techniques. <\/p>\n\n\n\n

Zuluaga\u2019s expertise in these areas is crucial for the group\u2019s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the use of Conic Optimization in Quantum Information theory, and the use of Quantum Computing Algorithms for general Optimization problems. Currently, Zuluaga\u2019s research is looking at obtaining new and improved QUBO reformulations for certain classes of Combinatorial Optimization Problems.<\/p>\n\n\n\n

Email:<\/strong> luz212@lehigh.edu<\/a> <\/p>\n\n\n\n

Phone Number:<\/strong> (610) 758-4034<\/p>\n\n\n\n

Online:<\/strong> https:\/\/cor<\/a>al.ise.lehigh.edu\/luiszuluaga <\/a><\/p>\n\n\n\n

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Xiu Yang<\/h2>\n\n\n\n

Xiu Yang is an Assistant Professor, Industrial and Systems Engineering Department, Lehigh University <\/p>\n\n\n\n

Yang brings to the team his fundamental knowledge of computational quantum chemistry, computational mathematics, stochastic processes, uncertainty quantification, and many-particle systems. Furthermore, Yang is an expert in using high-performance computing resources. <\/p>\n\n\n\n

Yang\u2019s expertise in these areas is crucial for the group\u2019s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the use of Conic Optimization in Quantum Information theory, and the use of Quantum Computing Algorithms for general Optimization problems. Currently, Yang\u2019s research is looking at studying the best ways to estimate and filter noise in Noisy Intermediate Size Quantum (NISQ) Devices.<\/p>\n\n\n\n

Email:<\/strong> xiy518@lehigh.edu<\/a> <\/p>\n\n\n\n

Phone Number:<\/strong> (610)758-6816<\/p>\n\n\n\n

Online:<\/strong> https:\/\/wordpress.lehigh.edu\/xiy518\/<\/a> <\/p>\n\n\n\n

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Arielle Carr<\/h2>\n\n\n\n

Arielle Carr is an assistant professor in the Department of Mathematics, Lafayette University<\/p>\n\n\n\n

Carr brings to the team a strong background in applied linear algebra and numerical analysis. Her main area of expertise lies at the intersection of iterative methods, Krylov subspace methods, and preconditioning techniques.<\/p>\n\n\n\n

Carr\u2019s expertise is crucial for the group\u2019s research objectives regarding the development of new hybrid Quantum Computing-Optimization algorithms, the study of numerical complexity in Quantum Computing, and the use of Quantum Linear Algebra techniques to create new and improve upon existing, optimization methods. Her recent work has focused on recycling strategies for and parallel implementations of Krylov methods and preconditioners to approximately solve very large-scale linear systems and eigenproblems, including mitigation strategies for ill-conditioned Quantum Linear Systems arising in the Quantum Interior Point method.<\/p>\n\n\n\n

Email:<\/strong> <\/a>carra@lafayette.edu<\/a><\/p>\n\n\n\n

Phone Number:<\/strong> (610)-330-5272<\/p>\n\n\n\n

Online:<\/strong> https:\/\/math.lafayette.edu\/people\/arielle-k-carr\/<\/a><\/p>\n\n\n\n

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Giacomo Nannicini<\/h2>\n\n\n\n

Giacomo Nannicini is an Associate Professor in the Daniel J. Epstein Department of Industrial & Systems Engineering.<\/p>\n\n\n\n

Nannicini brings to the team his knowledge of quantum computing (QC) algorithms, complexity, and optimization. This expertise is crucial to support the work in all the proposal objectives. <\/p>\n\n\n\n

His involvement in the world-wide recognized IBM\u2019s QC research group will give the team first-hand access to IBM\u2019s latest QC research and knowledge of the software stack<\/p>\n\n\n\n

Email:<\/strong> g.nannicini@usc.edu<\/a><\/p>\n\n\n\n

Online: <\/strong>https:\/\/sites.usc.edu\/nannicini\/<\/a><\/p>\n\n\n\n

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Alain Sarlette<\/h2>\n\n\n\n

Alain Sarlette is a Senior Researcher at QUANTIC lab (https:\/\/team.inria.fr\/quantic\/index.html<\/a>), INRIA, Paris, and an associate professor at Ghent University, Belgium. <\/p>\n\n\n\n

Sarlette brings to the team his expertise in quantum information (QI), quantum dynamics of typical physical systems, and applied mathematics (dynamical systems and signals, feedback and control theory).<\/p>\n\n\n\n

Email:<\/strong> alain.sarlette@inria.fr<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/users.ugent.be\/~asarlet\/ <\/a><\/p>\n\n\n\n

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Stefan Wild<\/h2>\n\n\n\n

Stefan Wild is the Deputy Director of the Mathematics and Computer Science Division, Argonne National Laboratory (https:\/\/www.anl.gov\/<\/a>) and Senior Fellow at Northwestern University (https:\/\/www.northwestern.edu\/<\/a>). <\/p>\n\n\n\n

Wild brings to the team his fundamental knowledge in computational mathematics and optimization under uncertainty. Wild is directing and performing research in quantum chemistry and Quantum Information. <\/p>\n\n\n\n

His expertise is crucial to support the work in all the proposal objectives. Moreover, his involvement with Argonne will give the team first-hand access to Argonne\u2019s computing resources and their research results on Quantum Computing. <\/p>\n\n\n\n

Email: <\/strong>wild@anl.gov<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/www.anl.gov\/profile\/stefan-m-wild<\/a> <\/p>\n<\/div><\/div>\n\n\n\n

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Illya V. Hicks<\/h2>\n\n\n\n

Illya V. Hicks is Professor of Computational and Applied Mathematics, Rice University<\/a>.<\/p>\n\n\n\n

Academic co-author collaboration in Combinatorial Optimization<\/p>\n\n\n\n

Email: <\/strong>ivhicks@rice.edu<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/www.caam.rice.edu\/~ivhicks\/Site\/professional.html<\/a> <\/p>\n<\/div><\/div>\n\n\n\n

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Savo Glisic<\/h2>\n\n\n\n

Savo Glisic is Professor in Networking (GLOBALCOMM<\/a>).<\/p>\n\n\n\n

Funding, Developing Research collaboration in Combinatorial Optimization<\/p>\n\n\n\n

Email: <\/strong>sglisic@wpi.edu<\/a><\/p>\n\n\n\n

Online:<\/strong> http:\/\/www.ins-netgroup.com\/globalcomm-oy\/institutes\/savo-2\/<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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David Santiago<\/h2>\n\n\n\n

David Santiago is the science and technology lead for Berkeley Lab’s Advanced Quantum Testbed.<\/p>\n\n\n\n

Funding, Developing Research collaboration in Quantum Noise<\/p>\n\n\n\n

Email: <\/strong>david.i.santiago@lbl.gov<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/crd.lbl.gov\/departments\/computational-science\/quist\/quist-staff\/david-santiago\/<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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Andr\u00e1s Gily\u00e9n<\/strong><\/h2>\n\n\n\n

Andr\u00e1s Gily\u00e9n is a Marie Curie fellow at the R\u00e9nyi Institute.<\/p>\n\n\n\n

Academic co-author collaboration, Ph.D. committee, Advisory meetings <\/p>\n\n\n\n

Email: <\/strong>gilyen@renyi.hu<\/a><\/p>\n\n\n\n

Online:<\/strong> http:\/\/gilyen.hu<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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Hamidreza Validi<\/h2>\n\n\n\n

Hamidreza Validi is an Assistant Professor at the Department of Industrial, Manufacturing, and Systems Engineering at Texas Tech University. <\/p>\n\n\n\n

Academic co-author collaboration in Combinatorial Optimization<\/p>\n\n\n\n

Email: <\/strong>hvalidi@ttu.edu<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/sites.google.com\/site\/hamidrezavalidi2\/home<\/a><\/p>\n<\/div><\/div>\n\n\n\n

<\/p>\n\n\n\n

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David E. Bernal Neira<\/h2>\n\n\n\n

David E. Bernal is an Assistant Professor in the Davidson School of Chemical Engineering at Purdue University.<\/p>\n\n\n\n

Academic co-author collaboration in Combinatorial Optimization<\/p>\n\n\n\n

Email: <\/strong>dbernaln@purdue.edu<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/secquoia.github.io\/1-bernalde<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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Ruslan Shaydulin<\/h2>\n\n\n\n

Ruslan Shaydulin is the Head of Quantum Engineering Research at Global Technology Applied Research at JP Morgan Chase.<\/p>\n\n\n\n

Internship Supervisor at JPMorgan<\/p>\n\n\n\n

Email: <\/strong>ruslan.shaydulin@jpmchase.com<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/shaydul.in\/<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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Carleton Coffrin<\/h2>\n\n\n\n

Carleton Coffrin is a staff scientist in Los Alamos National Laboratory\u2019s Advanced Network Science Initiative.<\/p>\n\n\n\n

Internship Supervisor at LANL<\/p>\n\n\n\n

Email: <\/strong>carleton@coffrin.com<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/www.coffrin.com\/<\/a><\/p>\n<\/div><\/div>\n\n\n\n

<\/p>\n\n\n\n

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Sam Stein<\/h2>\n\n\n\n

Sam Stein is a Quantum Algorithms and Machine Learning research associate within the High Performance Computing group at Pacific Northwest National Laboratory.<\/p>\n\n\n\n

Internship Supervisor at PNNL<\/p>\n\n\n\n

Email: <\/strong>samuel.stein@pnnl.gov<\/a><\/p>\n\n\n\n

Online:<\/strong> https:\/\/www.pnnl.gov\/people\/sam-stein<\/a><\/p>\n<\/div><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Tam\u00e1s Terlaky Tam\u00e1s Terlaky is the George N. and Soteria Kledaras \u201987 Endowed Chair Professor, Industrial, and Systems Engineering Department, Lehigh…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/comments?post=16"}],"version-history":[{"count":51,"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":436,"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/pages\/16\/revisions\/436"}],"wp:attachment":[{"href":"https:\/\/quantum-computing.lehigh.edu\/index.php\/wp-json\/wp\/v2\/media?parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}