Sahar Tahvili is a product development leader at Ericsson AB and also a researcher at the Industrial AI Systems (IAIS) laboratory at Mälardalen University, who holds a Ph. D. in Software Engineering since 2018. Her doctoral thesis entitled " Multi-Criteria Optimization of System Integration Testing " was named one of the best new Software Integration Testing books by BookAuthority.

Sahar’s research focuses on artificial intelligence (AI), advanced methods for testing complex software-intensive systems and designing decision support systems (DSS). Previously she worked as a senior researcher at the Research Institutes of Sweden (RISE) with close industrial research collaboration with Bombardier Transportation in Sweden.

In 2022, Sahar Tahvili and Leo Hatvani co-authored a book titled "Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises." This book has garnered recognition from BookAuthority, being selected as one of the Best New Intelligence Testing Books.

BookAuthority Best New Intelligence Testing Books

Research areas:

Artificial Intelligence
Natural Language Processing
Software Testing
Decision Support Systems

[Show all publications]

Latest publications:

An Intelligent Test Management System for Optimizing Decision Making During Software Testing (Aug 2024)
Albin Lönnfalt , Viktor Tu , Gregory Gay , Animesh Singh , Sahar Tahvili
Journal of Systems and Software (JSS)

Real-time Optimization of Testbeds for Cloudified Radio Access Networks Using Artificial Intelligence (Jun 2024)
Animesh Singh , Chen Song , Jiecong Yang , Sahar Tahvili
The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications (IARIA 2024)

Artificial Intelligence Techniques in System Testing (Jul 2023)
Michael Felderer , Eduard Paul Enoiu, Sahar Tahvili
Optimising the Software Development Process with Artificial Intelligence (Springer)

Time Series Anomaly Detection using Convolutional Neural Networks in the Manufacturing Process (May 2023)
Cristina Landin, Jie Liu , Sahar Tahvili
The 5th IEEE International Conference on Artificial Intelligence Testing (AITEST 2023) (AITest 2023)

Artificial Intelligence Methods for Optimization of the Software Testing Process With Practical Examples and Exercises (Jul 2022)
Sahar Tahvili, Leo Hatvani

A Dynamic Threshold Based Approach for Detecting the Test Limits (Oct 2021)
Cristina Landin, Jie Liu , Sahar Tahvili
The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021)

Project Title	Status
AIDOaRt - AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems	active
IMPRINT - Innovative Model-Based Product Integration Testing (Vinnova)	finished
ITS-EASY Post Graduate School for Embedded Software and Systems	finished
MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)	finished
TESTOMAT Project - The Next Level of Test Automation	finished
XIVT - eXcellence in Variant Testing	finished

PhD students supervised as assistant supervisor:

Cristina Landin

MSc theses supervised (or examined):

Thesis Title	Status
Guided Test Execution through Analysis of Test Case Dependencies	available

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