Amir Kamil

Amir Kamil is a Lecturer at the University of Michigan's College of Engineering, teaching programming and computer science courses including EECS 280 (Programming & Data Structures) and EECS 390 (Programming Paradigms). His research focuses on parallel programming models, program analysis, and educational methodologies in computer science.

Research Interests: Develops programming models for parallel systems and investigates pedagogical approaches to computer science education. Current work includes UPC++ for distributed C++ applications and improving student understanding of programming concepts.

Teaching: Creates comprehensive educational materials including online textbooks for programming languages and data structures. Supervises undergraduate research and develops innovative teaching methods for computational theory.

Students: Mentors graduate and undergraduate researchers in programming languages and parallel computing. Recent collaborators include PhD candidates and industry researchers at Microsoft, Amazon, and Apple.