Mr. Seyed matin malakouti, University of Rijeka, Croatia
Seyed Matin Malakouti is an accomplished electrical engineer and researcher specializing in control systems engineering and machine learning. He completed his Master of Science in Electrical Engineering from the University of Tabriz, Iran, after earning his Bachelor’s degree from Isfahan University of Technology. His research spans various applications of machine learning, including wind power generation prediction, heart disease classification using ECG data, and solar farm power generation forecasting. Seyed’s work has resulted in several high-impact publications in prestigious journals, with his research on wind energy and machine learning techniques receiving significant citations. He has also been involved in cutting-edge projects such as predicting global temperature change and advancing renewable energy solutions. In recognition of his contributions, Seyed has received multiple awards, including the Best Researcher Award at the International Conference on Cardiology and Cardiovascular Medicine in 2023, and nominations for Best Paper and Best Researcher Awards in other international conferences. Additionally, he actively contributes to the scientific community as a peer reviewer for numerous journals in the fields of artificial intelligence, environmental sciences, and electrical engineering.
Professional Profile:
ORCID
Summary of Suitability for Best Researcher Award
Seyed Matin Malakouti is a highly qualified and accomplished researcher in the field of Electrical Engineering, specializing in Control Systems, Machine Learning, and Data Science. His impressive academic background includes a Master’s degree in Electrical Engineering from the University of Tabriz and a Bachelor’s degree from Isfahan University of Technology.
Education & Training 🎓
- 2020 – 2022: M.Sc. in Electrical Engineering – Control System Engineering, University of Tabriz, Iran
- 2014 – 2019: B.Sc. in Electrical Engineering, Isfahan University of Technology, Iran
Awards & Honors 🏆
- 2023: Best Researcher, International Conference on Cardiology and Cardiovascular Medicine
- 2023: Nominated for Best Paper Award, International Research Awards on Mathematics and Optimization Methods
- 2024: International Young Scientist Awards, Best Researcher Category
Technical Skills 🛠️
- Machine Learning 🤖
- Data Science 📊
- Programming Languages: MATLAB, Python 💻
Peer Review Activities 🧐
Seyed has reviewed articles for prestigious journals, such as:
- IEEE Access
- Artificial Intelligence Review
- BMC Public Health
- Environmental Monitoring and Assessment 🌱
Publication top Notes:
Machine learning and transfer learning techniques for accurate brain tumor classification
ML: Early Breast Cancer Diagnosis
Advanced techniques for wind energy production forecasting: Leveraging multi-layer Perceptron + Bayesian optimization, ensemble learning, and CNN-LSTM models
Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation
Discriminate primary gammas (signal) from the images of hadronic showers by cosmic rays in the upper atmosphere (background) with machine learning
Estimating the output power and wind speed with ML methods: A case study in Texas