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Oana Geman is a Senior Teaching Fellow in Data Science and Artificial Intelligence at Chalmers University, with a robust academic background in Electronics, Telecommunications, and Information Technologies. She joined Chalmers in January 2025 after serving as an Associate Professor at the University of Suceava in Romania. Oana holds a PhD in Electronics and Telecommunications and has extensive postdoctoral experience in Computer Science, specializing in Data Science and Machine Learning. Her research interests focus on advancing Machine Learning algorithms and their applications in biomedical engineering, particularly through the development of expert systems for diagnosis and treatment of neurological disorders such as Parkinson's disease. Oana's works integrate diverse data sources including medical literature, expert knowledge, and patient data to create tailored treatment plans, thus enhancing patient care and outcomes. An active member of the IEEE, she strives to push the boundaries of AI-driven healthcare solutions and improve quality of life through innovative technology. Her dedication to sustainability and diversity in academia is evident as she champions professional growth through education and research initiatives in her field.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.