Institut für Informationsverarbeitung (TNT) - Homepage of Yeremia G. Adhisantoso

Yeremia Gunawan Adhisantoso studied electrical engineering at the Leibniz University Hannover, with a specialization in computer engineering. During his studies, he worked on research projects such as video compression, deep learning, and electrical design automation. After graduation, he joined the Institut für Informationsverarbeitung at Leibniz University Hannover, where he is currently working as a research assistant towards his PhD.

He is an active member of the MPEG working groups of ISO/IEC JTC 1/SC 29/WG 8, where he contributes to the MPEG-G standards (ISO/IEC 23092).

Personal Homepage • Google Scholar • LinkedIn • GitHub

Research Interest:

Machine Learning
Deep Learning
Computer Vision
Predictive Health Management
Data Compression of Genomic Data
Medical Information Processing

If you are looking for a student project related to my research, please click here.

Other activities

Supervised Theses

Predictive Health Management:

Data-Driven Predictive Maintenance for Syringe Production Line
Untersuchung von Ensemble Learning fuer die Zustandsueberwachung von Zahnriemenantrieben
Reference-Based Deep Metric Learning for Remaining Useful Lifetime Prediction of Printing Screen
Normalizing Flows for Prediction of Degradation
Variational Bayes Methods for Prediction of Degradation

Data Compression of Genomic Data:

Search in Compressed Domain for Genomic Data
Codierung numerischer genomischer Annotationen
High-Efficiency Contact Matrix Compression

Machine Learning in Bioinformatics:

Sparse Neural Network for Polygenic Risk Score Prediction
Resolution Enhancement of Hi-C Data Using Generative Adversarial Network-based Deep Super Resolution Models
Resolution Enhancement of Hi-C Data Using Autoencoder-based Deep Super Resolution Models
Low-Rank Matrix Completion via Semidefinite Programming for 3D Genome Reconstruction