Dr Rastislav Struharik
Reconfigurable Hardware and System Design group will focus on Reconfigurable Hardware and System Design and Implementation for massive IoT and large-scale information processing and machine learning applications. In particular, the group’s focus is on low-power and energy-efficient embedded solutions for IoT and hardware-accelerated FPGA design for machine learning applications:
- Reconfigurable hardware and system design for wireless PHY and MAC:
1) Fast prototyping on software-defined radio (SDR)
2) FPGA-based implementation of PHY system blocks
3) FPGA-based implementation of MAC system blocks - Embedded system design and implementation for IoT platforms:
1) Design and implementation of NB-IoT and LoRaWAN nodes
2) Embedded hardware programming
3) IoT sensor node design and applications - Reconfigurable hardware and system design for accelerated large-scale information processing:
1) Hardware-accelerated design of distributed optimization/inference methods
2) Hardware-accelerated design (FPGA) and parallel processing implementation (GPU) of machine learning algorithms - Tools and technologies
NI/Ettus USRP, LabVIEW, MATLAB, OpenAirInterface, GNU Radio, Xilinx, Cadence, VHDL, NVIDIA CUDA, TensorFlow, Python
Group members (alphabetical order):
Dr Stanisa Dautovic
Dr Milan Lukic
Dr Ivan Mezei
Dr Natasa Samardzic
Dr Dalibor Sekulic
Dr Rastislav Struharik
Dr Predrag Teodorovic
