Rate Professor Dragan Nesic

Professional Summary: Professor Dragan Nesic

Professor Dragan Nesic is a distinguished academic and researcher at the University of Melbourne, Australia, with a globally recognized profile in control systems and networked control theory. With a career spanning several decades, he has made significant contributions to electrical and electronic engineering, particularly in the areas of nonlinear systems and optimization-based control. Below is a detailed overview of his academic journey, research impact, and professional achievements based on publicly available information.

Academic Background and Degrees

Professor Nesic holds advanced degrees in engineering, reflecting his deep expertise in control systems:

• Ph.D. in Systems Engineering, Australian National University, Canberra, Australia (1997)
• Bachelor of Engineering (Honors), University of Belgrade, Serbia (1990)

Research Specializations and Academic Interests

Dr. Nesic’s research focuses on the theoretical and applied aspects of control systems, with particular emphasis on:

• Networked control systems
• Nonlinear control theory
• Optimization-based control and extremum seeking
• Hybrid systems and sampled-data control

His work bridges fundamental theory with practical applications, contributing to advancements in automation, robotics, and cyber-physical systems.

Career History and Appointments

Professor Nesic has held several prestigious academic and research positions:

• Professor, Department of Electrical and Electronic Engineering, University of Melbourne (2004–Present)
• Associate Professor and Reader, University of Melbourne (prior to 2004)
• Various research and academic roles internationally, contributing to his global perspective in control engineering.

Major Awards, Fellowships, and Honors

Dr. Nesic’s contributions have been recognized through numerous prestigious awards and fellowships:

• Fellow of the Institute of Electrical and Electronics Engineers (IEEE) (2010), for contributions to networked control systems
• Fellow of the International Federation of Automatic Control (IFAC)
• Doctor Honoris Causa, University of Lorraine, France (2019)
• Humboldt Research Award, Alexander von Humboldt Foundation, Germany (2018)
• Multiple best paper awards in leading control systems journals and conferences

Key Publications

Professor Nesic has authored and co-authored numerous influential papers and books in the field of control systems. A selection of notable works includes:

• Extremum Seeking: From Theory to Applications (co-authored, 2012)
• “A Unified Framework for Design and Analysis of Networked and Quantized Control Systems,” IEEE Transactions on Automatic Control (2009)
• “Input-to-State Stability of Networked Control Systems,” Automatica (2004)
• Over 100 journal articles and conference papers in top-tier venues such as IEEE Transactions and Automatica

Influence and Impact on Academic Field

Dr. Nesic is widely regarded as a leading authority in networked control systems, a critical area for modern technologies such as autonomous vehicles, smart grids, and industrial automation. His pioneering work on stability analysis and design of networked systems has influenced both academic research and industry applications. He has supervised numerous Ph.D. students and collaborated with international researchers, fostering the next generation of control engineers. His citation record reflects a substantial impact, with thousands of citations in the field.

Public Lectures, Committees, and Editorial Contributions

Professor Nesic is actively involved in the global academic community through various roles:

• Delivered keynote and plenary lectures at major international conferences, including IFAC World Congress and IEEE Conference on Decision and Control
• Served as Associate Editor for leading journals such as IEEE Transactions on Automatic Control and Automatica
• Member of various technical committees within IEEE Control Systems Society and IFAC

His editorial and organizational contributions have helped shape the direction of research in control theory and its dissemination to wider audiences.