Scholar

Ramin Ghorbani

Google Scholar ID: B5SP-gsAAAAJ

Doctoral Candidate at Delft University of Technology ( TU Delft )

Machine LearningDeep LearningRepresentation LearningAnomaly Detection

Citations & Impact

All-time

Citations

528

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Research Experience

2020–Present, TU Delft: Research Assistant working on Representation Learning and learning from few labeled samples, with emphasis on Self-Supervised Learning for informative representations applicable to various downstream tasks
2020–Present: Contributing to the STRAP project (Self TRAcking for Prevention and diagnosis of heart disease), collaborating across universities to develop ML frameworks for detecting cardiac deterioration in elderly using PPG signals from smartwatches
2020–Present: Conducting research on Time-Series Analysis and Signal Processing, exploring preprocessing techniques and improving reconstruction/forecasting via ML/DL methods
2019, Iran University of Science and Technology: Investigated methods for handling imbalanced datasets using various ML approaches
2019: Developed and implemented classical ML models for tabular health data, including ICU mortality prediction
Fall 2022: Teaching Assistant for 'Machine Learning 1' course at TU Delft under Dr. David Tax and Dr. Marco Loog

Co-authors

4 total