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Ali Beikmohammadi is a dedicated Ph.D. candidate in Computer Systems Sciences at Stockholm University, specializing in Reinforcement Learning, Deep Learning, and Federated Learning. He has excelled academically, securing top ranks during his Bachelor's and Master's studies in Electrical Engineering at Bu-Ali Sina University and Amirkabir University of Technology, respectively. His research trajectory includes significant contributions within artificial intelligence frameworks, particularly in enhancing machine learning techniques. As a visiting Ph.D. student at Universitat Pompeu Fabra in Barcelona, he collaborated on critical research projects in AI. Over the years, he has received several accolades including the Outstanding Paper Award at the ICSPIS conference and has been active in research and industry collaborations with organizations such as SCANIA CV AB and Hitachi Energy. With extensive experience in academic instruction, Ali is committed to teaching and mentoring students in various courses related to AI and computer sciences. His current research interests reflect a passion for advancing the field through innovative methods, publications, and participation in conferences and technical committees.
M. Sc. Course, Joint Programme Health Informatics • Karolinska Institutet & Stockholm University, Sweden
Responsible for teaching and supervising courses in Health Informatics.
Department of Electrical Engineering • Amirkabir University of Technology, Tehran, Iran
Assisted in various courses including Logical Circuits and Digital Signal Processing.
A new approach using template matching with computer vision.
Includes Analytical Chemistry, Organic Chemistry, Biochemistry, and Sustainable Chemistry.