معرفی
Marie Maros is an Assistant Professor in the Department of Industrial & Systems Engineering at Texas A&M University. She holds a Ph.D. in Electrical Engineering from KTH Royal Institute of Technology (Sweden), and dual Master's and Bachelor's degrees in Telecommunications Engineering from Universitat Politècnica de Catalunya (Spain). Her research focuses on distributed computing systems, statistical learning over networks, and optimization algorithms for time-varying environments. Key contributions include developing decentralized algorithms for sparse regression, high-dimensional statistical recovery, and distributed optimization over dynamic networks. Her work emphasizes linear convergence guarantees and practical computational efficiency.
Dr. Maros has published extensively on topics such as gradient-tracking methods, dual optimization frameworks (e.g., ECO-PANDA and PANDA algorithms), and ADMM applications in smart grids and beamforming systems. Her articles consistently address challenges in networked systems, emphasizing scalability and real-time adaptability. While no awards are explicitly listed, her prolific publication record reflects significant contributions to distributed optimization and network science.
Her advising and grant activities are not detailed in the provided information. Current affiliations include the Texas A&M Industrial & Systems Engineering department, with research activities centered in distributed computing and optimization theory.
