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- 2025
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Mark
Semi-supervised segmentation of blood vessels in synchrotron μm-CT scans
- Master (Two yrs)
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Mark
Motion Classification using Machine Learning on Embedded Devices
- Master (Two yrs)
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Mark
High-Resolution Radar Sensors for Human Gait Classification
- Master (Two yrs)
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Mark
Investigating individual learning rates on standard optimizers for ANN training
- Bach. Degree
- 2024
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Mark
Exploring UE Sensing Capabilities for Integrated Sensing and Communication
- Master (Two yrs)
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Mark
Enhancing the resolution of brain MRIs using deep learning.
(2024) In Master’s Theses in Mathematical Sciences FMAM05 20241
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Trigger-Level Electron Counting in the Light Dark Matter eXperiment using Artificial Neural Networks
- Bach. Degree
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Mark
Expanding an adaptive learning-rate algorithm to handle mini-batch training
- Bach. Degree
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Mark
Interconnecting Multiple FPGAs for Distributed Machine Learning Inference
- Master (Two yrs)
- 2023
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Mark
Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
- Master (Two yrs)