Muhammad Fahad

- Co-designing the architecture of complex HPC processing pipelines to integrate several HPC tools such as simulators, data analysis tools, (in-transit/ offline) data visualization tools - Determining and managing the tasks, issues and translating them into action items - Helping the Scrum Team to keep motivated and focusing on creating the high-value Increments to meet the goals - Facilitating scrum events, meetings, and decision-making processes - Helping in preparing the status reports to stakeholders

- Software engineering to develop the tools for the deployment of complex co-simulation workflows combining multiple simulators executed in parallel and a highly distributed environment on modular supercomputers - Developing APIs for the transfer of data between HPC applications via different channels (MPI, ZeroMQs, etc.) - Developing the tools to resource usage monitoring and steering the individual applications part of a rather larger complex workflow executing in parallel on multiple compute nodes

- Proposed, implemented (using C/C++,OpenMP, MPI, CUDA) and validated a novel methodologies to determine the accurate device-level (CPUs, GPUs, etc.) energy consumption by hybrid applications executing in parallel on modern heterogeneous computing platforms using external power meters. - Designed and Implemented experiments for measuring energy consumption by hybrid parallel applications using on-chip power sensors measurements provided by RAPL, Nvidia Management Library (NVML), Intel MIC-SMC.

Developed different freelance projects such as customized POS (Point of Sale) Solutions, Web applications etc using technologies: C#, ASP.Net, Entity Framework, Microsoft SQL Server, HTML(5), CSS(3), JavaScript

Research & Development. Designed, developed, and analysed the performance of "HydraNetSim" - a discrete event simulator which allows parallel simulation by exploiting the capabilities of parallelization of modern computing hardware. It is based on a novel master/slave paradigm. It divides the simulation model into a number of specific slaves (a cluster of processes) considering the number of cores provided by the underlying computing hardware.

High Performance Computing, Parallel Programming, Energy Modelling, Energy-Efficient Computing, Distributed Computing

MS Thesis: Parallel Programming, Clock Synchronization, Peer-to-Peer & Distributed Computing, CUSP (Chanel-based Unidirectional Stream Protocol)

- Network Programming with Java - Programming Web Services - Dataware Housing - Modern Methods in Software Engineering - Network Security - Advanced Distributed Systems - Distributed Artificial Intelligence and Intelligent Agents - Peer-to-Peer and Grid Computing

- Object Oriented Programming Languages (Java, C#, C++), - Data Base Management Systems (Oracle, SQL Server), - Distributed Computing, - Web Designing, - Software Engineering, - Artificial Intelligence, - System Programming - Digital Signal Processing