Salma Tofaily
Job description
(updated on 23.03.2026)
I am a PhD candidate at the Computer Science Department at UiT, and a member of the Cyber Physical Systems group.
My PhD project studies the repeatability, reproducibility, and replicability in empirical experiments to evaluate the power draw and energy consumption of small computers, part of the Internet of Things.
Many works use average power measurements collected using experimental protocols, without studying these protocols. Unconsidered power variability can make results not repeatable and not replicable in the long run. Unreported experimental details can make results not reproducible. This can have a high impact on the studies. For instance, if energy consumption is not accurately characterized, systems in frugal deployments can be unavailable way ahead of their expected lifespan.
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Publications outside Cristin
(updated on 23.03.2026)
Recently Published:
Vladimir Ostapenco; Loïc Guégan; Salma Tofaily; Issam Raïs; Laurent Lefèvre:
CPU Frequency Aware Power Modeling for IoT Edge Nodes
Recently Accepted:
Abstractions, Architecture, and Implementation of a Modular IoT Edge Testbed. Loïc Guégan; Salma Tofaily; Issam Raïs
Research interests
(updated on 23.03.2026)
I work in the context of IoT and edge distributed systems, and the power and energy consumption of these systems.
I particularly focus on the potential variability in power and energy consumption, potential factors that can lead to inaccurate power and energy characterization, in prototyping, modeling, simulation, and real experiments.
Research findings highlight insights for repeatable, reproducible, and replicable studies, beyond what exists in the state of the art.
Keywords: IoT, edge, power, energy consumption, variability, reproducibility, experiments, simulation, energy efficiency, sustainability, green IT
Teaching
- INF-3201 Parallel Programming (For 3 semesters, TA lead): curriculum, assignment corrections, mentoring of other TAs, and setting operation templates. Main subjects: OpenMP, MPI, CUDA.
- INF-2900 Software engineering (For 1 semester): Mentoring groups of students on using Agile methodologies and project management.
- IoT-to-Extreme-Edge Infrastructure testbed: Contributions on power monitoring setup, and feedback on master's student work.
- IEEE Conference CCGRID 2025 organization: Volunteers chair, and sessions support.
Member of research group / centre
CV
(updated on 23.03.2026)
PhD Awards:
- Best Paper Award in the 33rd Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS2025). Authored by Vladimir Ostapenco, Loic Guegan, Salma Tofaily, Issam Rais, and Laurent Lefevre.
- Distinguished Paper Award in the 19th IEEE Green Computing and Communications (GreenCom 2023). Authored by Loic Guegan, Salma Tofaily, and Issam Rais.
Education:
- I hold a double master's degree in Computer Networks and Telecommunication (STRI) from the University of Paul Sabatier Toulouse III, France, and the Lebanese University. I graduated with first-class honours from the Lebanese University (2014 -2016).
- I hold a bachelor's in Computer Science from the Lebanese University. I graduated with first-class honours (2011-2014).
Work Experience:
- 6 years of work experience in software development with local and international teams.
- Full Stack development, focused on the backend, for hybrid and cloud solutions.
- Mostly developing and deploying websites, APIs, and integrating various services.
- Specialized for 2 years in adaptive video and live streaming. We focused on low-latency, scalability, and failover solutions for high availability and good user experience.
Languages: Arabic (mother tongue), English (professional), Norwegian (A2), French (A2)