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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) ACE '23: Proceedings of the 25th Australasian Computing Education Conference, p. 11-20 (Conference paper)

2022

Filip Strömbäck, Linda Mannila, Mariam Kamkar (2022) Koli Calling '22: Proceedings of the 22nd Koli Calling International Conference on Computing Education Research, Article 14 (Conference paper)
Filip Strömbäck, Linda Mannila, Mariam Kamkar (2022) PROCEEDINGS OF THE 24TH AUSTRALASIAN COMPUTING EDUCATION CONFERENCE, ACE 2022, p. 123-132 (Conference paper)

2021

Filip Strömbäck, Linda Mannila, Mariam KAMKAR (2021) Informatics in Education. An International Journal, Vol. 20, p. 683-715 (Article in journal)

2020

Filip Strömbäck, Linda Mannila, Mariam Kamkar (2020) Proceedings of SIGCSE ’20 (Conference paper)

News

About the division

Colleagues at SaS

About the department

News about IDA

Two silhouettes in profile in underground tunnel.

The researchers who need to be one step ahead

Today’s society rests on cyber security and the ability to be one step ahead of hackers. In recent years, a new threat has emerged – AI. However, according to researchers Elisa Bertino and Simin Nadjm-Tehrani, AI could also be part of the solution.

Server room and data on black background.

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.