Shahmir Khan, M.Sc.

Short Bio:

Shahmir Khan is a doctoral candidate in the Application-Specific Computing group under the supervision of Prof. Dr. Robert Strzodka. His research focuses on parallel computing and high-performance numerical methods, with an emphasis on the fast solution of large sparse linear systems and their implementations. Shahmir holds a double-degree Master’s in Mathematical Engineering from the University of L’Aquila and Brno University of Technology and a Bachelor’s degree in Mathematics from Sukkur IBA University. His academic background includes numerical analysis, stochastic modeling, and scientific computing.

Research Interests:

• Parallel computing
• Sparse linear solvers
• High-performance numerical methods
• Large-scale scientific computing
• Stochastic modeling