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Lennart Svensson is a Full Professor in Signal Processing at Chalmers University of Technology. His research interests include nonlinear filtering, multi-target tracking, deep learning, Bayesian inference, and reinforcement learning. He has contributed significantly to the fields of biomedical engineering and electrical engineering, focusing on advanced signal processing techniques that enhance data interpretation and utilization in complex systems. With a robust background in both theoretical and applied aspects of engineering, he has published numerous papers addressing innovative methodologies and their applications in various engineering contexts. His academic leadership and dedication to teaching make him a prominent figure in his field, fostering a new generation of engineers and researchers at Chalmers.
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.