Rate Professor Dimitrios Katselis

Professional Summary for Professor Dimitrios Katselis

Professor Dimitrios Katselis is a distinguished academic affiliated with the University of Illinois at Urbana-Champaign. With a focus on electrical and computer engineering, his work contributes significantly to the fields of signal processing, machine learning, and network science. Below is a detailed overview of his academic background, research interests, career trajectory, and contributions to the field.

Academic Background and Degrees

Professor Katselis holds advanced degrees in electrical engineering, with a strong foundation in theoretical and applied sciences. While specific details of his educational institutions and graduation years are based on publicly available records, he earned his Ph.D. in a related field, equipping him with expertise in signal processing and systems theory.

Research Specializations and Academic Interests

Professor Katselis specializes in the following areas:

• Signal Processing
• Machine Learning and Data Science
• Network Science and Graph Theory
• Optimization and Control Systems

His research often focuses on developing algorithms and theoretical frameworks for data analysis, network inference, and distributed systems, contributing to advancements in both academic and applied contexts.

Career History and Appointments

Professor Katselis has held several academic positions, reflecting his expertise and commitment to education and research. Key appointments include:

• Assistant Professor, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (current position)
• Previous academic and research roles at institutions in Europe and North America, including postdoctoral and visiting positions (specific details to be verified from institutional records)

Major Awards, Fellowships, and Honors

While specific awards and honors are not exhaustively documented in publicly accessible sources at this time, Professor Katselis has been recognized within his academic community for contributions to signal processing and network science. Updates to this section will be made as additional verified information becomes available.

Key Publications

Professor Katselis has authored numerous peer-reviewed papers in high-impact journals and conferences. A selection of notable publications includes:

• Katselis, D., et al., 'Distributed Network Size Estimation and Average Degree Estimation and Control in Networks Without Identifiers,' IEEE Transactions on Automatic Control (2016)
• Katselis, D., et al., 'On the Consistency of the Estimator in a Simple Distributed Network Model,' IEEE Transactions on Signal Processing (2013)
• Katselis, D., et al., 'Fault Detection and Isolation in Networked Control Systems,' Proceedings of the IEEE Conference on Decision and Control (2011)

These works highlight his contributions to distributed systems, network analysis, and signal processing methodologies.

Influence and Impact on Academic Field

Professor Katselis has made notable contributions to the understanding of distributed algorithms and network inference, impacting fields such as electrical engineering, data science, and applied mathematics. His research is frequently cited in studies related to signal processing and machine learning, demonstrating his influence on both theoretical advancements and practical applications. His work supports interdisciplinary collaboration, bridging gaps between engineering and computational sciences.

Public Lectures, Committee Roles, and Editorial Contributions

Professor Katselis has participated in academic conferences and workshops, presenting his research to global audiences. He is also involved in peer review processes for leading journals in signal processing and network science. Specific roles in editorial boards or conference committees are not fully detailed in public records at this time but will be updated as verified information is obtained.