Education

Ph.D 2003, University of Texas at San Antonio

Research Interests

cloud and edge computing; parallel and distributed algorithms;
approximation algorithms; scheduling and load balancing;
topics at the border between computer science, game theory and economics.

Courses taught by Daniel Grosu

Fall Term 2024 (future)

• CSC6220 - Parallel Computing I: Programming

Winter Term 2024 (current)

• CSC2200 - Computer Science II

Fall Term 2023

• ECE5610 - Introduction to Parallel and Distributed Systems
• CSC6220 - Parallel Computing I: Programming

Winter Term 2023

• CSC7220 - Parallel Computing II: Algorithms and Applications
• ECE7610 - Advanced Parallel and Distributed Systems
• CSC2200 - Computer Science II

Fall Term 2022

• ECE5610 - Introduction to Parallel and Distributed Systems
• CSC6220 - Parallel Computing I: Programming

Winter Term 2022

• CSC7220 - Parallel Computing II: Algorithms and Applications
• ECE7610 - Advanced Parallel and Distributed Systems
• CSC2200 - Computer Science II

Recent university news spotlights

• Grosu named to ACM’s Distinguished Members class for 2023
• Wayne State-led collaborative center for autonomous vehicle research receives $4.5 million from National Science Foundation and industry partners

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