Ms. Rachel Stephen Mollel, University of Strathclyde, United Kingdom
Rachel Stephen Mollel is a Ph.D. student in Electrical and Electronic Engineering at the University of Strathclyde, UK. Her research focuses on machine learning, explainable AI, energy demand-side management, smart metering, and non-intrusive load monitoring (NILM). She holds a Master of Engineering from Arkansas Tech University, USA, and a Bachelor’s degree in Telecommunication Engineering from Visvesvaraya Technological University, India. Rachel has contributed significantly to the energy sector, exploring the role of smart meters in reducing energy costs and enhancing communication between energy providers and consumers. Her recent work, which investigates the potential of NILM to reveal hidden demand flexibility in residential energy consumption, has been published in various peer-reviewed journals and conferences. Additionally, she is actively involved in improving the interpretability of NILM models to enhance algorithm performance. Her contributions have been recognized with a Commonwealth Scholarship in 2020.
Professional Profile:
ORCID
Summary of Suitability for the Best Scholar Award:
Rachel Stephen Mollel is a highly suitable candidate for the Best Research Scholar Award based on her significant contributions to the fields of machine learning, explainable AI, and energy demand-side management. As a PhD student at the University of Strathclyde, her research aims to address critical energy issues through innovative approaches like Non-Intrusive Load Monitoring (NILM), which helps uncover hidden demand flexibility in residential energy consumption.
Education:
- 2021 – Present: PhD in Electrical and Electronic Engineering, University of Strathclyde, UK
- 2010 – 2012: Master of Engineering, Arkansas Tech University, USA (GPA: 3.75/4.0)
- 2006 – 2010: Bachelor’s degree in Telecommunication Engineering, Visvesvaraya Technological University, India (First Class)
Work Experience:
- 2011 – 2012: Graduate Assistant, Arkansas Tech University, USA
Assisted in the Digital Logic and Robotics Course & Lab; delivered tutorials, graded lab reports and exams, and supported the development of course materials under faculty supervision.
- 2014 – 2020: Assistant Lecturer, University of Dar es Salaam, Tanzania
Delivered lectures, prepared and graded exams in Control Systems Engineering and Fundamentals of Electrical Engineering. Supervised undergraduate student projects, practical training, and fieldwork. Managed various administrative duties, such as student registration and coordination of departmental examinations.
Publication top Notes:
Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring
Using explainability tools to inform non-intrusive load monitoring algorithm performance
Using explainability tools to inform NILM algorithm performance