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

Yeremia Gunawan Adhisantoso studied electrical engineering at Leibniz University Hannover with specialization in Computer Engineeering. During his study, he worked in research projects such as video compression, deep learning, and electrical design automation. After graduating he joined Institut für Informationsverarbeitung at Leibniz University Hannover where he currently works as a research assistant towards his PhD.

Currently he is working on computer vision and deep learning models for predictive health management and methods for genomic data.

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

Research Interest:

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

Show selected publications only

Yeremia Gunawan Adhisantoso, Jan Voges, Christian Rohlfing, Viktor Tunev, Jens-Rainer Ohm, Jörn Ostermann
GVC: Efficient Random Access Compression for Gene Sequence Variations
BMC Bioinformatics, BioMed Central, Vol. 24, No. 1, p. 13, March 2023, edited by Hari Mohan Rai
(pdf) BibTeX
Yeremia Gunawan Adhisantoso
Cross-check of Philips's Response to Core Experiment for Annotation Data Indexing using B-Tree m62224
ISO/IEC JTC 1/SC 29/WG 8 , January 2023
BibTeX
Yeremia Gunawan Adhisantoso
Recommendation on MPEG-G Part 6 Record Structure m61340
ISO/IEC JTC 1/SC 29/WG 8 , October 2022
BibTeX
Yeremia Gunawan Adhisantoso
Cross-check of EPFL's response to core experiment 3 on indexing DNA sequences in the compressed domain m61082
ISO/IEC JTC 1/SC 29/WG 8 , October 2022
BibTeX
Yeremia Gunawan Adhisantoso, Jörn Ostermann,
Contact Matrix Compressor
2022 Data Compression Conference (DCC), pp. 399-408, March 2022
(pdfIEEEexplore) BibTeX
Yeremia Gunawan Adhisantoso
Technical comments for Study on FDIS 23092-6 document m59160
ISO/IEC JTC 1/SC 29/WG 8 , January 2022
BibTeX
Quy Le Xuan, Yeremia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning (accepted)
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
BibTeX
Yeremia Gunawan Adhisantoso, Quy Le Xuan, Christoph Kellerman, Marco Munderloh, Jörn Ostermann
Introduction to Deep Degradation Metric in Smart Production Ecosystems
16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
(pdf) BibTeX
Yeremia Gunawan Adhisantoso, Jörn Ostermann
Efficient Coding of Contact Matrices m57789
ISO/IEC JTC 1/SC 29/WG 8 , October 2021
BibTeX
Yeremia Gunawan Adhisantoso
Verification of the Extension to the Coding of Contact Matrix m58073
ISO/IEC JTC 1/SC 29/WG 8, October 2021
BibTeX
Yeremia Gunawan Adhisantoso
Cross-check CE3 Extension of Contact Matrix Compressor m58074
ISO/IEC JTC 1/SC 29/WG 8 , October 2021
BibTeX
Christoph Kellermann, Yeramia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
Introduction to an Adaptive Remaining Useful Life Prediction for forming tools
Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), July 2021
(pdf) BibTeX
Malgorzata Rechmal-Lesse, Yeremia Gunawan Adhisantoso, Gerald Alexander Koroa, Markus Olbrich
Automated abstraction of nonlinear analog circuits to reliable set-valued models with reduced overapproximation
Microelectronics Reliability Volume 121, June 2021, 114119, Elsevier, Vol. 121, June 2021
(pdf) BibTeX
Yeremia Gunawan Adhisantoso, Jörn Ostermann
Method for the Coding of Contact Matrix m56622
ISO/IEC JTC 1/SC 29/WG 8 , April 2021
BibTeX
Yeremia Gunawan Adhisantoso
CE3 Results LUH on Contact Matrix m56623
ISO/IEC JTC 1/SC 29/WG 8 , April 2021
BibTeX
Yeremia Gunawan Adhisantoso, Christian Rohlfing, Jan Voges, Jörn Ostermann
Extension to method for the coding of genomic variants m55355
ISO/IEC JTC 1/SC 29/WG 8 , October 2020
BibTeX
Yeremia Gunawan Adhisantoso, Christian Rohlfing, Jan Voges, Jörn Ostermann
Method for the coding of genotype likelihood of variant m55356
ISO/IEC JTC 1/SC 29/WG 8 , October 2020
BibTeX
Yeremia Gunawan Adhisantoso
CE3 Results LUH and RWTH Aachen on GL Field of VCF m55357
ISO/IEC JTC 1/SC 29/WG 8 , October 2020
BibTeX
Yeremia Gunawan Adhisantoso
MPEG-G Part 6 CE3 Results Leibniz University Hannover, RWTH Aachen University m54276
ISO/IEC JTC 1/SC 29/WG 8 , October 2020
BibTeX
Yeremia Gunawan Adhisantoso, Viktor Tunev, Jan Voges, Christian Rohlfing,
MPEG-G Part 6 CE3 Results Leibniz University Hannover, RWTH Aachen University m53496
ISO/IEC JTC1/SC29/WG11, April 2020
BibTeX
Malgorzata Rechmal-Lesse, Gerald Alexander Koroa, Yeremia Gunawan Adhisantoso, Markus Olbrich
Automated Model Generation Including Variations for Formal Verification of Nonlinear Analog Circuits
2020 18th IEEE International New Circuits and Systems Conference (NEWCAS), pp. 66-69, 2020
BibTeX
Malgorzata Rechmal-Lesse, Gerald Alexander Koroa, Yeremia Gunawan Adhisantoso, Markus Olbrich
Automatically Generated Nonlinear Analog Circuit Models Enclosing Variations with Intervals and Affine Forms for Reachability Analysis
2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), IEEE, pp. 1-4, 2020
BibTeX
Thorsten Laude, Yeremia Gunawan Adhisantoso, Jan Voges, Marco Munderloh, Jörn Ostermann
A Comprehensive Video Codec Comparison
APSIPA Transactions on Signal and Information Processing, Vol. 8, p. e30, 2019
(pdfDOI) BibTeX
Thorsten Laude, Yeremia Gunawan Adhisantoso, Jan Voges, Marco Munderloh, Jörn Ostermann
A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity
2018 Picture Coding Symposium (PCS), pp. 36-40, 2018
(pdfDOI) BibTeX

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