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Photo of Mariam Kamkar

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) PROCEEDINGS OF THE 52ND ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE 2021, p. 1294-1294 (Conference paper)
Filip Strömbäck, Linda Mannila, Mariam KAMKAR (2021) Informatics in Education. An International Journal, Vol. 20, p. 683-715 (Article in journal)

News

About the division

Colleagues at SaS

About the department

News about IDA

Two portraits.

New Wallenberg Academy Fellows researching 6G and AI

LiU researchers Jendrik Seipp and Zheng Chen have been appointed as new Wallenberg Academy Fellows. The funding gives promising researchers the opportunity to tackle challenging research questions that require a long-term approach.

Firefighter infront of wrecked car.

Research on exoskeletons and cleaners receives SEK 16.7 million

LiU receives SEK 16.7 million from AFA Försäkring for research in the field of work environment and health. The projects concern exoskeletons, cleaning staff, part-time managers and digital work environments in health and social care.

Jendrik Seipp.

Research on next-generation AI planning receives SEK 15 million

LiU researcher Jendrik Seipp has been awarded SEK 15 million to develop an AI planning system that uses multi-core processors for parallel computation. This could lead to more efficient logistics and large-scale energy optimisation, among much else.