معرفی
Reza Khoshkangini is an Associate Professor at Malmö University, Faculty of Technology and Society, Department of Computer Science and Media Technology. He is affiliated with the Sustainable Digitalisation Research Centre (SDRC) and his research spans across multiple domains of artificial intelligence and computer science.
His research interests focus on Machine Learning, Artificial Intelligence, Federated Learning, and Computer Vision applications. Dr. Khoshkangini's work demonstrates a strong interdisciplinary approach, applying AI techniques to healthcare, financial systems, and digital sustainability. His research bridges theoretical computer science with practical applications in real-world domains.
Analysis of his recent publications reveals a strong trend toward multimodal AI systems that integrate different data sources (visual, audio, sensor data) and address privacy concerns through federated learning approaches. His work shows significant application focus in healthcare technology (particularly patient monitoring and reproductive medicine) and financial forecasting, while maintaining strong theoretical foundations in computer vision and machine learning.
Dr. Khoshkangini is actively involved in several research projects including EIVF-AI (Enhancing in vitro fertilization with environmental optimization using AI), Developing a Framework for Leveraging Knowledge Graph & Deep Learning in Mobility Transportation, and Intelligent and Trustworthy IoT Systems. These projects reflect his commitment to applying advanced AI techniques to solve practical problems across multiple domains.
He is a member of the Sustainable Digitalisation Research Centre, which studies both social and technological aspects to promote sustainable digitalisation. His work contributes to the center's mission of examining how digital technologies can be developed and implemented in ways that support sustainable societal development.
