Position Title
Professor
I am interested in design methodologies for embedded and cyber-physical systems (CPS). In my research, I aim to build systems that can monitor, predict and influence application-specific processes, including those in the physical world and/or involving humans. More specifically, my research work deals with system-level challenges, such as modeling, analysis, and optimization of embedded systems; use-inspired signal processing and machine learning algorithms; programmable execution platforms (e.g., processors, DSPs, GPUs and FPGAs) and tools for automating the design process.
The area focuses on system-level, integrative, and human-in-the-loop challenges, and offers an interesting blend of theory and practice: real-world applications give rise to research problems, for which solutions are developed using a combination of analytical and experimental (data-driven) techniques.
Our team is always on the lookout for emerging applications of societal significance, which can benefit from advances in the technology. While the specific application focus may change from time to time, we are presently focused on human health and wellness as the target domain. In particular, we are currently working on transabdominal fetal oximetry, wearable bladder volume sensing, data analytics & machine intelligence for health.
- Project Vectors
- System-level design methodologies for embedded and cyber-physical systems
- Innovative applications of digital technology in key sectors, such as medicine, agriculture and machine intelligence.
- Current Projects
- Past Projects
- Convolutional Neural Networks (CNN) Inference on Resource-Constrained Devices
- Monitoring and Mentoring Physical Activities
- Streaming Software Synthesis for MPSoCs
- PARTS: Parallel Architectures for Programmable Network Measurement
- Architectures for Image Processing and Object Tracking
- Logic and High-Level Synthesis