Dr. Mohsan Jameel

Developing responsible and trustworthy human-centric Machine Learning and Artificial Intelligence sutions for Air Traffic Control systems. Talk: lessons learned from automatic speech recognition of Pilot-ATCO communication at Fly AI Forum,EUROCONTROL, Brussels https://www.youtube.com/watch?v=p-SKAywQWBc&t=5474s Projects: - LOKI (Kollaboration von Luftfahrt-Operateuren und KI-systemen) - PJ33-W3 (EU) FALCO - Flexible ATCO Endorsement - DIAL (Der individuelle und automatisierte Luftverkehr)

• Design and implementation of scalable Distributed Machine Learning algorithms • Development of Deep Learning solutions for industrial application • Setup data pipeline for data aggregation, analysis, and visualization • Customization of labeling tool for image annotation • Implementation of Machine Learning solutions in Python using PyTorch, Tensorflow, Sklearn • Implementation of Big Data Analytics solutions using Hadoop, Spark and MPI

• Managed undergraduate studies at the Department of Computing • Program accreditation, Student Progress Monitoring and Student Mentoring • Management of undergraduate course design and course allocation Skills: Program Management · Mentor · People Management

• Research and Development in the field of high-performance computing • Development of an open-source High-Performance Computing software • Enhancement of MPJ Express for clusters of multi-core CPU and high-speed interconnects • Project Management of research and industrial projects (xFlow, HEC and ICTRND) • Implementation and algorithm design for Distributed Computing in Python, Java, and C++

• Development of an SDN-based network virtualization software • Linux kernel module programming for intelligent network cards • Project management of an industrial project (Networking Hardware Vendor) • Software development in Python and C/C++

• Setup an HPC cluster based on Rocks (Linux) Cluster Distribution • Technical support to application users for resolving technical issues • Training for parallel and distributed programming

Edge Machine Learning

1) Parallel Computations for Large-Scale Problems (C/C++) 2) Parallel Computer Systems (C/C++) 3) Introduction to High-Performance Computing (C/C++) 4) Mathematical Models, Analysis and Simulation 5) Applied Numerical Methods 6) Advanced Flow Computations

Highlight Courses 1) Object-Oriented Programming (C++, Java) 2) Data Structure and Algorithms 3) Enterprise Network Technologies 4) Distributed Computing 5) Operating Systems and Computer Architecture