Computer Science
Eric Allender
Distinguished Professor
Department of Political Science
School of Arts and Sciences
Key topics: Computational complexity theory, computer science, mathematics, randomness, circuit complexity
Eric Allender's research focuses on computational complexity theory, the aim of which is to prove that certain problems are essentially impossible to compute. One practical application of this is found in shopping online: the systems that…
... read moreJonathan Eckstein
Professor
Department of Management Science and Information Systems
Rutgers Business School-Newark and New Brunswick
Key topics: Optimization algorithms, parallel computing, operations management, management information systems, numerical optimization
Jonathan Eckstein, Ph.D., has published in numerous journals, including INFORMS/ORSA Journal on Computing, SIAM Journal on Optimization, Mathematics of Operations Research, and Mathematical Programming.
Eckstein's…
Lena Fullem
Senior Accountant
Business Services - Newark
Newark Research and Grants Offices
Key topics: Subaward/Subcontract processing, electronic research administration, business analytics
Research administrator with focus on subcontract/subaward processing and an extensive background in information technology, with specific knowledge of Oracle Financials and Coeus/Kuali
Benjamin Melamed
Distinguished Professor of Supply Chain Management
Supply Chain Management
Rutgers Business School-Newark and New Brunswick
Key topics: System modeling analysis and simulation (especially supply chains, healthcare service systems, and transportation systems), stochastic processes.
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Mario Szegedy
Professor
Computer Science
School of Arts and Sciences
Key topics: Quantum computing, probabilistically checkable proofs, proofs, space complexity, approximating frequency, streamed data
Mario Szegedy is a Hungarian-born computer scientist, professor of computer science at Rutgers University. He received his Ph.D. in computer science from the University of Chicago.
Szegedy's research areas include complexity theory,…