Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Students enrolled in the Professional MS in Computer Science (MSCPS) program with the Algorithms, Network and Optimization (ANO) subplan must complete 30 credit hours of graduate coursework that align ...

In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...

The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

Imagine a world where artificial intelligence not only understands language but creates with it, where quantum systems no longer feel like an enigma but a solvable puzzle. It might sound like science ...

In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...

Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about the advanced science running behind the scenes of any artificial intelligence ...

Theoretical Foundations of Computer Science research at Drexel University's College of Computing & Informatics (CCI) explores the mathematical foundations of computing. CCI Computer Science research ...

Four UBC students have been recognized for their exceptional research contributions by the Computing Research Association ...