Seyed Matin Malakouti
- Telefon arbete: +46 (0)10-1428249
- E-postadress: seyedmatin.malakouti@miun.se
- Ort: Sundsvall
Matin is a Persian researcher specializing in machine learning applications for biomedical engineering and renewable energy forecasting. Matin holds an M.Sc. in Electrical Engineering (Control Systems) from the University of Tabriz (2019–2022) and a B.Sc. in Electrical Engineering from Isfahan University of Technology. Matin's name (Malakouti, Seyed Matin) appears in the August 2025 data-update of the Stanford–Elsevier dataset "Updated science-wide author databases of standardized citation indicators" — the dataset widely referred to as the "World's Top 2% Scientists" list — in the single recent year (2024 citations) section (DOI: 10.17632/btchxktzyw.8). Additionally, Matin has peer-reviewed hundreds of papers for Springer, Nature, Elsevier, and Sage journals in the fields of energy and biomedical engineering.