Currently available assignments
- Efficient Implementation of Mondrian Forest at the EdgeMaster assignment, Kuan-Hsun Chen and Nikos Alachiotis (published March 2024)
- Multiple assignments in the domain of Embedded AI and neuromorphic processingMaster assignment, Amirreza Yousefzadeh (published March 2024)
- Image Analysis for Quality Assurance in Seeding PatternsMaster assignment, Nikolaos Alachiotis (published February 2024)
- Lightweight Error Handling Schemes for Biased Error Models in Emerging TechnologiesMaster assignment, Kuan-Hsun Chen and Marco Ottavi (published January 2024)
- Resilient Real-Time SchedulingMaster assignment, Kuan-Hsun Chen and Bruno Endres Forlin (published January 2024)
- Fault Injection CampaignMaster assignment, Marco Ottavi and Bruno Endres Forlin (published September 2023)
- Performance Optimization for Real-Time System SoftwareMaster assignment, Kuan-Hsun Chen and Ana-Lucia Varbanescu (published August 2023)
- Exploring RISC-V Customized Extensions for Technology-Agnostic Computing in MemoryMaster assignment, Kuan Chen and Marco Ottavi (published July 2023)
- Investigating approximate computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signalsMaster assignment, Arlene John and Ghayoor Gillani (published May 2023)
- Approximate Computing to design an Energy-efficient Correlator Architecture for Radio Astronomy ProcessingMaster assignment, Ghayoor Gillani (published July 2022)
- Design of a dependable RISC-V processor for safe and secure applications in collaboration with ESA-ESTECMaster assignment, Marco Ottavi (published November 2021)
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