Algorithms & Theory

Doctoral Student Research in Algorithms & Theory

Scalable algorithmic methods provide tradeoffs between the competing notions of accuracy and performance, ultimately providing principled approaches to decision making in complex environments and achieving significant improvements in scalability, cost, and responsiveness.

Faculty

Faculty members leading research in Algorithms & Theory are as follows:

• Anders Aamand (July 2026)
• Maryam Aliakbarpour
• Nai-Hui Chia
• Alireza Fallah
• Anastasios Kyrillidis

The work below represents current student research.