معرفی
Kaave Hosseini is an Assistant Professor in the Department of Computer Science at the University of Rochester. He holds a PhD from UC San Diego and a BSc from Sharif University of Technology. His research focuses on theoretical computer science and additive combinatorics, emphasizing approximate algebraic structures and pseudorandomness.
Education:
- PhD in Computer Science, UC San Diego (advisor: Shachar Lovett)
- BSc in Mathematics and Computer Science, Sharif University of Technology
Research Interests: His work bridges theoretical computer science and mathematics, particularly in:
- Computational complexity
- Combinatorial structures
- Discrepancy theory
- Algebraic methods in computer science
Key Publications: Recent works include advancements in communication complexity, pseudorandomness, and lower bounds. Notable achievements include a Best Paper Award at ICALP 2023.
Awards: Best Paper Award at ICALP 2023.
Teaching: He has taught courses such as Advanced Algorithms (CSC 484/284) and Analytic Methods in Computer Science (CSC 488/288) at the University of Rochester, and combinatorics and probability courses at Carnegie Mellon University.
Professional Activities: Organized the Eastern Great Lakes (EaGL) workshop in Theory of Computation.
