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Mariam Kamkar

Professor Emerita

Professor in Software Engineering, specializing in large-scale industrial software engineering.

Mariam is professor in Software Engineering, specializing in large-scale industrial software engineering.

Publications

2023

Filip Strömbäck, Linda Mannila, Mariam Kamkar (2023) Using Model-Checking and Peer-Grading to Provide Automated Feedback to Concurrency Exercises in Progvis ACE '23: Proceedings of the 25th Australasian Computing Education Conference, p. 11-20 (Conference paper) Continue to DOI

2022

Filip Strömbäck, Linda Mannila, Mariam Kamkar (2022) A Weak Memory Model in Progvis: Verification and Improved Accuracy of Visualizations of Concurrent Programs to Aid Student Learning Koli Calling '22: Proceedings of the 22nd Koli Calling International Conference on Computing Education Research, Article 14 (Conference paper) Continue to DOI
Filip Strömbäck, Linda Mannila, Mariam Kamkar (2022) Pilot Study of Progvis: A Visualization Tool for Object Graphs and Concurrency via Shared Memory PROCEEDINGS OF THE 24TH AUSTRALASIAN COMPUTING EDUCATION CONFERENCE, ACE 2022, p. 123-132 (Conference paper) Continue to DOI

2021

Filip Strömbäck, Linda Mannila, Mariam KAMKAR (2021) The Non-Deterministic Path to Concurrency - Exploring how Students Understand the Abstractions of Concurrency Informatics in Education. An International Journal, Vol. 20, p. 683-715 (Article in journal) Continue to DOI

2020

Filip Strömbäck, Linda Mannila, Mariam Kamkar (2020) Exploring Students' Understanding of Concurrency: A Phenomenographic Study Proceedings of SIGCSE ’20 (Conference paper) Continue to DOI

News

About the division

Colleagues at SaS

About the department

News about IDA

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Machine Psychology – a bridge to general AI

AI that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI. This is the conclusion of Robert Johansson, who in his dissertation has developed the concept of Machine Psychology.

Innovative idea for more effective cancer treatments rewarded

Lisa Menacher has been awarded the 2024 Christer Gilén Scholarship in statistics and machine learning for her master’s thesis. She utilised machine learning in an effort to make the selection of cancer treatments more effective.

Shaping AI technology for the benefit of society globally

To explore similarities and challenges faced by Europe and Japan in the digital transformation era and to foster cross-border collaboration and knowledge exchange - researchers and industry professionals from Europe and Japan met at LiU.