Shayan Dadman

Research fellow, Department of Computer Science and Computational Engineering, Arctic University of Norway

MishMash role: Member

MishMash Projects

• Evaluation of Cultural Bias and Workflow in AI Music Generation

Latest results

1. PhD thesis, 2026

   Beyond Autonomous Creation in AI Music Generation: Multi-Agent Perception-Policy Separation with Process-Oriented Evaluation for User-Centric, Adaptive Systems

2. Journal article, 2026

   Learning Normal Patterns in Musical Loops: Unsupervised Anomaly Detection for Variable-Length Audio Inputs

3. Journal article, 2024

   Crafting Creative Melodies: A User-Centric Approach for Symbolic Music Generation

4. Conference poster, 2023

   Mindful Integration of AI in the Design Industry: Opportunities and Implications

5. Book chapter, 2023

   Multi-agent Reinforcement Learning for Structured Symbolic Music Generation

6. Book chapter, 2023

   Predicting Peak Prices in the Current Day-Ahead Market

7. Book chapter, 2023

   Using Light Weight Electric Vehicles for V2G services in the Arctic

8. Journal article, 2023

   E-Mobility and Batteries—A Business Case for Flexibility in the Arctic Region

9. Journal article, 2022

   Toward Interactive Music Generation: A Position Paper

10. Journal article, 2021

    The Role of Electric Snowmobiles and Rooftop Energy Production in the Arctic: The Case of Longyearbyen

More results in NVA…