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JEC 3004
- agung@ecse.rpi.edu
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(518) 276-6993
About
A. Agung Julius is a Professor at the Department of Electrical, Computer, and Systems Engineering at the Rensselaer Polytechnic Institute and Associate Dean for Research and Graduate Studies in the School of Engineering. He is also a faculty member of the Rensselaer Center for Automation Technologies and Systems. His research interests lie in the intersection of systems and control theory, systems biology, and theoretical computer science. He received the Bachelors degree in Electrical Engineering from Institut Teknologi Bandung (ITB) in Indonesia in 1998, and an MSc and Doctoral degree in Applied Mathematics from the University of Twente in the Netherlands, in 2001 and 2005, respectively. Prior to joining Rensselaer, he was a Postdoctoral Researcher at the GRASP Lab at the University of Pennsylvania. Dr. Julius co-authored papers that received the "Best Application Paper Award" at the 10th Int. Conf. on Ubiquitous Robots and Artificial Intelligence (URAI 2013), and a finalist for the "Best Paper Award" at the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2013). At Rensselaer, he received the School of Engineering Award for Research Excellence (2016) and the James M. Tien'66 Early Career Award for Faculty (2017). Dr. Julius received an National Science Foundation CAREER award in 2010.
BS in Electrical Engineering, Institut Teknologi Bandung, Indonesia
MSc in Applied Mathematics, University of Twente, The Netherlands
PhD in Applied Mathematics, University of Twente, The Netherlands
Postdoctoral Fellowship, University of Pennsylvania, USA
Research
My research interests lie on the intersection of systems and control theory, systems biology, and computer science. Engineers and natural scientists are facing the problem of dealing with ever more complex systems. The advance of technology has spurred the emergence of more complex engineering systems. It has also made available a large quantity of experimental data that requires systems understanding of natural systems. This is particularly true in the field of molecular biology, with the availability of genome scale genetic expression profiling technology. This development poses a research challenge. The design and synthesis of complex engineering and biological systems requires rigorous analysis to ensure that they will function as intended. Analyzing complex systems require extensive computational resources, if it is possible at all. The challenge thus lies in devising correct methodologies, with which the complexity can be reduced.
The approach to biology that highlights the use of quantitative models and reasoning based on systems and control theory leads to the field of systems biology. There are many problems in systems biology that are essentially engineering problems, and require engineering mindset to solve.
Several areas that I have been working on are listed below (click to go to the subject).
Control, Robotics, and Automation
Publications
The following is a selection of recent publications in Scopus. Agung Julius has 148 indexed publications in the subjects of Engineering, Computer Science, Mathematics.