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Mohsen Amiri is a PhD student in the Department of Computer and Systems Sciences at Stockholm University, focusing on advanced topics within Computer Systems Sciences. His research interests include reinforcement learning, federated learning, optimization, machine learning, deep learning, and signal processing. He is currently engaged in a dissertation project titled 'Automatic epileptic seizure detection from EEG signals using sparse common spatial pattern adaptive short-time Fourier transform-based synchrosqueezing transform.' Mohsen completed his Master of Science in Electrical Engineering with a concentration in Digital Electronic Systems from Amirkabir University of Technology, where he graduated with high honors. Additionally, he earned his Bachelor of Science in Electrical Engineering specializing in Electronics from Bu-Ali Sina University, ranking first among his peers. His academic journey, marked by a cumulative GPA of 17.35/20 and recognition as a talented student, underlines his commitment to excellence in the field of electrical engineering and computer science.
Includes Analytical Chemistry, Organic Chemistry, Biochemistry, and Sustainable Chemistry.