Fahimeh Jafari

Fahimeh Jafari serves as a Senior Lecturer in the Department of Engineering & Computing within the School of Architecture Computing and Engineering at the University of East London (UEL). She currently holds significant leadership roles including Postgraduate Research Lead for Computer Science and Digital Technology, Programme Leader for MSc Computer Science, and Year Tutor for MSc Computer Science. Dr. Jafari joined UEL in 2016 after working as a Lecturer at Liverpool Hope University, where she earned her Postgraduate Certificate in Higher Education (PGCHE) and Fellowship of the Higher Education Academy (FHEA).

Her research expertise spans multiple domains within computer science and engineering, with primary focus on Big Data Analytics, Artificial Intelligence and Machine Learning, Interconnection Networks, Performance Evaluation, Distributed Systems, Analytical Modelling, and Optimisation Theory. Dr. Jafari has developed significant expertise in Network-on-Chip architectures, data communication systems, and smart home technologies using Internet-of-Things frameworks. Her teaching portfolio includes advanced courses such as Big Data Analytics (CN7031), Machine Learning on Big Data (CN7030), Big Data Infrastructure & Manipulation (CN6022), and Data Communications and Networks (CN5002).

Analysis of Dr. Jafari's publication record reveals a strong trajectory of research focused on network performance optimization, particularly in Network-on-Chip architectures. Her work demonstrates increasing diversification into Big Data Analytics and Machine Learning applications, while maintaining foundational expertise in network design and optimization. Recent publications show expansion into transportation safety analytics and smart home systems, indicating interdisciplinary research directions that bridge traditional computer architecture with real-world applications.

• Fellowship of the Higher Education Academy (FHEA)

Dr. Jafari actively supervises BSc, MSc, and PhD students in Data Communication, Big Data, and Machine Learning. She has secured significant research funding including a Knowledge Transfer Partnership (KTP) with TechBuyer funded by Innovate UK (2019-2020) and a UEL Funded Research Internship on reducing classification error in datasets with similar patterns (2018). Her research collaborations extend to major technology companies including Intel, Ericsson, and DPFE, demonstrating strong industry engagement and knowledge transfer capabilities. She has served on technical program committees for international conferences such as ICIME, NoCArc, MES, and NOC, and has been an active reviewer for journals including JPDC and Recent Patents on Computer Science.