MissFarwa Abbas
Casual Teaching Support
Department of Electrical and Electronic Engineering - Faculty of Engineering
- Casual Teaching SupportDepartment of Electrical and Electronic Engineering - Faculty of Engineering
- 805, Electrical Engineering, South Kensington Campus, United Kingdom
TEACHING INTERESTS
Miss Farwa's teaching is closely informed by her research experience, interdisciplinary perspective, with an emphasis on connecting mathematical and computational foundations to real-world clinical and technological applications.
From 2021 to 2025, Miss Farwa served as a Graduate Teaching Assistant at Imperial College London, supporting undergraduate and master’s level courses across Electrical Engineering, Applied Mathematics, and Data Science. These included
- Topics in Large Dimensional Data Processing
- Mathematics for Engineers II
- Cryptography and Coding Theory
- Topics in Electrical Engineering
- Analysis and Design of Circuits
- Second-year MATLAB online module.
Her responsibilities included developing teaching and assessment materials, grading coursework and presentations, and leading laboratory and tutorial sessions. She focuses on conceptual clarity, practical understanding, and experimental safety, while supporting students with diverse academic backgrounds through one-to-one mentoring and tailored guidance.
In parallel with her university teaching, Miss Farwa has been actively engaged in science communication and outreach. In 2022 and 2023, she was a Lecturer at the Oxmedica Summer Bootcamp in Riyadh, where she delivered a three-week intensive course titled Computer Science for a Digital Future to secondary school girls. She designed interactive, project-based learning activities to encourage creativity, computational thinking, and confidence in problem solving. As part of the programme, she delivered TED-style talks on emerging topics in computer science and artificial intelligence and facilitated career panel discussions highlighting academic and industry pathways in STEM.
She is deeply committed to inclusive education and believes that early exposure to science can be transformative, particularly for young girls. Her teaching philosophy is based on accessibility, interpretability, and real-world relevance, and her research focus on developing trustworthy and impactful data-driven solutions for healthcare. Through teaching, mentorship, and outreach, she seeks to develop technically strong students and to inspire curiosity, confidence, and sustained engagement with science and engineering.