This page outlines defended dissertations within APROPOS. The ones with dates were publicly defended while others still have the initial topics listed.
- ESR 1: Efficient deep learning inference models for low-energy applications (IBM, to be enrolled at UPV) Switzerland
- ESR 2: Fault-tolerant approximate computing techniques (UVA) Netherlands
- ESR 3: Machine Learning for Approximate Computing (UNIBO) Italy
- ESR 4: Approximation at the edge for automated driving (TUD) Netherlands
- ESR 5: Industrial and Scientific Applications for benchmarking approximate computing strategies (KTH) Sweden
- ESR 6: Design Space Exploration for Accuracy-Aware Computing (ECL-INL) France
- ESR 7: Fast and accurate prediction of the Impact of Approximate operators on a complex computation (POLITO) Italy
- ESR 8: Compiler Technologies for Approximate Computing (POLIMI) Italy
- ESR 9: Transprecision algorithms, software tools and FPGA prototypes for graph analytics (UPV) Spain
- ESR 10: Reconfigurable approximating accelerators for secure edge computing (TAU) Finland
- ESR 11: Approximation techniques in low-cost GNSS receivers (TAU) Finland
- ESR 12: Design of reconfigurable and approximate functional units for wearable applications (UTU) Finland
- ESR 13: Approximate Signal Analysis in Smart Sensors (TUW) Austria
- ESR 14: 27.09.2024: Direction-of-Arrival-based Indoor Localization Systems for Massive IoT Networks: An Embedded Implementation Perspective (WIREPAS, enrolled at TAU) Finland
- ESR 15: Dynamic Data-dependent Precision Scaling for Energy-Scalable Neural Network and Security Applications (QUB) United Kingdom