Karima Khandaker

- Developed compute-aware service scheduling algorithms for distributed DCNs and video streaming applications with performance improvements serving up to 133% more clients - Implemented service scheduling systems on C++ (OMNeT++) and Python simulation environments - Designed carbon-negative scheduling utilising otherwise- wasted energy for content retrieval, with potential to save billions of euros spent on energy curtailment - Contributed to essential service scheduling components of EU Project FUDGE-5G

- Optimised resource utilisation in configuration and planning phase in complex modular machines by proving use of the strict priority algorithm meets stringent isochronous control data requirements - Designed C++-based simulation environment to evaluate performance of scheduling algorithms in industrial automation - Performed algorithm and concept viability evaluation (including strict priority algorithm, Time-Sensitive Networking concepts and Industrial Ethernet) for real-time Ethernet traffic scenarios

- Analysed transportation fuel carbon emissions for database development - Set up SQL database and automated usage data monthly update process using Python with NumPy and Pandas packages saving time for manual updating by 80% - Researched global fuel sector developments to identify trends and insights for supply and usage forecasting - Collaborated with international teams to set up data visualisation tool and automate (using Python) emission tradings updates on website

- Developed an Android application (including user interface design) for data dissemination for an Internet of Things application - Supported organization of OMNeT++ Community Summit 2017 - Supported ongoing research projects, such as Wireless Underground Sensor Networks (WSNs)

- Led project to boost young professional hires (led focus group, developed plan for future hires, built network with top university representatives) by 40% - Performed quality assurance of third-party research - Supported in the analysis of large data sets and the derivation of precise conclusions to support strategic decisions for large-scale public campaigns - In-charge of preparing and conducting field research for a sensitive government project

• Assessed profitability of entering oil & gas drilling power modules market in Middle-East (including analysing competition, survey of existing and potential customers) • Completed training on Corporate Responsibility, Product Knowledge (Technical), Diversity, Health-Safety-and-Environment (HSE)

• Trained in Human Resources, Brand Operations, Commercial Operations, Finance, Supply Network Operations, Engineering departments and at the Jeddah Plant

• Trained in Drilling & Measurements (field), Wireline (field) and Well Testing Services (field and lab) segments

Focus: Sustainable Communication Networks

Concentration: Microsystems