معرفی
Lecturer Rok Češnovar is affiliated with the Laboratory for Adaptive Systems and Parallel Processing (LASPP). His work focuses on computational methods in adaptive systems and parallel processing.
- Teaches classes in Computer Systems Organisation, Input-Output Systems, and Embedded Systems
- Active in research projects related to computationally intensive statistical analysis, sensor networks, and RISC-V vector processors
Research Focus
Rok Češnovar specializes in embedded systems and signal processing, with emphasis on computationally intensive methods and approximate computing. His work bridges theoretical statistics with practical implementation in adaptive systems.
Project History
He has contributed to projects including:
- ARRS-funded research on computationally intensive statistical methods (2016-2019)
- Decomposing cognition in working memory studies (J3-9264, 2018-2021)
- High-performance RISC-V vector processor computing (BI-HR/23-24-009, 2023-2025)
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