I've contributed to the preparation of lectures, conducting exercises & lab sessions, grading, and supervising seminar topics for several courses offered by Prof. Dr. Stefan Decker at RWTH Aachen University, Germany:
Together with Prof. Dr. Stefan Decker, I supervised following theses at RWTH Aachen University, Germany:
FAIR Approach for Improving Discoverability and Reusability of Research Data (Bachelor thesis, 2017)
Using Deep Neural Networks and Copy Number Variations for Cancer Detection (Master thesis, 2018)
Analysis of Breast Cancer Genomics Data with Multimodal Deep Belief Network (Master thesis, 2018)
Classification of Cancer with Methylation-aware Motifs (Bachelor thesis, 2019)
Automated Localization and Semantic Segmentation Technique for Biomedical Imaging (Master thesis, 2019)
Deep Learning-based Knee Osteoarthritis Diagnosis from Radiographs and MRI Images (Master thesis, 2019)
Revealing Black-box Biomedical Patent Classification with Explanation Methods (Bachelor thesis, 2020)
Imputation in Graphs Using Machine Learning (Master thesis, 2020)
Improving Human-AI Interaction via Explainable Chatbot: A Case Study for COVID-19 (Master thesis, 2021)
A Meta learning-based Approach for Automating Image Analysis in Cell Biology (Master thesis, 2022).