I am passionate about the cost and performance trade-off of controller implementation at the system-level.
Dip Goswami is an Assistant Professor in the Electronic Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on various design aspects of embedded control systems in resource-constrained domains such as automotive and robotics. Much of Goswami’s interests are seen in his work with PhD students, such as in resource-aware design of embedded control systems, optimization of distributed automotive systems such as vehicle platoons, embedded implementation of motion control systems, optimization and analysis of data intensive control loops. In addition, he is closely involved in the development of design and performance analysis techniques for embedded control systems implemented on to predictable multi-core platforms. Goswami has co-authored 50 conference papers, 17 journal articles, and 1 book chapter. He has published in several international journals and conferences in the fields of embedded control systems, robotics and cyber-physical systems, resulting in two best paper awards.
Dip Goswami obtained his PhD in Electrical and Computer Engineering from the National University of Singapore (NUS) in 2009. From 2010 to 2012, he was an Alexander von Humboldt Postdoctoral Fellow at TU Munich, Germany. Since 2013, Goswami is an Assistant Professor at Eindhoven University of Technology (TU/e). He regularly serves on technical program committees (TPC) of a number of prominent conferences in embedded and cyber-physical systems, such as DAC, DATE, RTAS, RTSS, EMSOFT, DSD and so on. He is an associate editor of the Elsevier journal Microprocessors and Microsystems.
Scalable analysis for multi-scale dataflow modelsACM Transactions on Embedded Computing Systems (2018)
Design and validation of fault-tolerant embedded controllers21st Design, Automation and Test in Europe Conference and Exhibition (DATE 2018) (2018)
NoC-based multiprocessor architecture for mixed-time-criticality applicationsHandbook of hardware/software codesign (2017)
Hybrid automotive in-vehicle networks11th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2017 (2017)
Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning32nd ACM Symposium on Applied Computing (SAC 2017) (2017)
- Systems engineering
- Electronic design automation
- Linear systems, signals and control DBL
- Premaster linear systems, signals & control
- Embedded control systems
- Linear systems, signals and control
No ancillary activities