Ramin Safa
I’m an AI and digital health researcher specialising in applying machine learning and natural language processing to healthcare challenges — particularly mental health prediction and clinical decision-support. My work spans academia and industry, focusing on responsible, translational AI with real-world impact.
I’m keen to connect with researchers, healthcare innovators and teams working on digital health, mental health informatics and applied NLP. I’m open to collaboration and knowledge exchange.
Selected Publications
Mental Health Informatics
- Pourkeyvan, A., Safa, R. & Sorourkhah, A. (2024). Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks. IEEE Access, 12, 28025–28035. [DOI] [PDF]
- Safa, R., Bayat, P. & Moghtader, L. (2022). Automatic Detection of Depression Symptoms in Twitter Using Multimodal Analysis. The Journal of Supercomputing, 78(4), 4709–4744. [DOI]
Academic Recommender Systems
- Javadi, S., Safa, R., Azizi, M., & Mirroshandel, S. A. (2020). A recommendation system for finding experts in online scientific communities. Journal of AI and Data Mining, 8(4), 573-584. [DOI] [PDF]
- Safa, R., Mirroshandel, S., Javadi, S., & Azizi, M. (2018). Venue recommendation based on paper’s title and co-authors network. Journal of Information Systems and Telecommunication, 6(1), 33-40. [DOI] [PDF]
Professional Experience
Applied Scientist
Developing AI-driven tools and recommender systems to enhance editorial workflows and platform optimisation.
Lecturer & Head of Department, Computer Engineering
Founded and led the Applied Data Science Lab, advancing interdisciplinary research on AI-driven mental health detection and digital health innovation.
Supervised MSc research projects on NLP, recommender systems, and social data analysis. Taught postgraduate modules including Advanced Information Retrieval, Data Mining, and AI in Healthcare.
Innovation Hub Director
Established and led the Innovation Hub, supporting students in transforming innovative ideas into applied AI solutions for healthcare and education.
For further information please download my CV.