Ahsen Tahir

Researcher
Ahsen is a member of research staff at Glasgow Caledonian University within the Department of Electrical and Electronic Engineering. His research interests include CUDA programming, C\C++ programming for Machine Learning and Deep Learning applications on Nvidia GPUs. Ahsen also works on Embedded systems and applications for healthcare.
Ahsen has a considerable interest in hardware accelerators. He designs floating-point and fixed-point accelerators in FPGAs using Verilog and C\C++ using High Level Synthesis for Machine Learning and Deep Learning applications.
Ahsen teaches and conducts labs for the following courses:

TEACHING:
Teaches and conducts laboratories for a number of courses in the Electrical Engineering Department at GCU.
1) M1H623548-18-B: 18/19 B - Principles of Programmable Systems B: Ahsen teaches and conducts laboratories for CUDA and C programming for Nvidia GPUs.
2) M2H623629-18-B: 18/19 B - Digital and Programmable Systems 1: This course labs deal with FPGA programming in verilog and C\C++.
3) MHH620659-18-B: 18/19 B - System Level Design: In this we teach and design advanced microprocessor and peripherals.

CURRENT PROJECT: Machine and Deep Learning for Healthcare Systems.

RESEARCH INTERESTS:
1) CUDA Programming for Machine and Deep Learning Applications on Nvidia GPUs.
2) Embedded and FPGA based Hardware Accelerators for Machine and Deep Learning Applications.