Regular biography
Amir Shaikhha is a Reader in the Department of Computer Science at The University of Edinburgh. His research interests include areas related to computer science, though specific details are not provided. He is affiliated with the university and can be contacted via email at amir.shaikhha@ed.ac.uk. His personal and professional profile is available at https://www.ed.ac.uk/Amir_Shaikhha.html.
Scholar-generated biography
Amir Shaikhha is a researcher at the University of Edinburgh with expertise in Databases, Compilers, Programming Languages, and Domain-Specific Languages. His work focuses on developing efficient query engines, optimizing tensor programs, and advancing differentiable programming. He has contributed to the design of query compilers, memory management techniques, and the integration of domain-specific languages within broader systems. His research emphasizes the intersection of functional programming, database systems, and machine learning, aiming to improve performance and scalability in data analytics. Shaikhha's publications explore topics such as delta processing, cardinality estimation, and hybrid database-ML workloads, reflecting his commitment to bridging theoretical and practical advancements in software systems.