Yeremia G. Adhisantoso, M.Sc.
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
Germany
phone: +49 511 762-19588
fax: +49 511 762-5333
office location: room 1312

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).

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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.

Show selected publications only
  • Yeremia Gunawan Adhisantoso, Jan Voges, Jörn Ostermann
    PEKORA: High-Performance 3D Genome Reconstruction Using K-th Order Spearman's Rank Correlation Approximation
    ISMB/ECCB 2023, Lyon (FR), July 2023
  • Yeremia Gunawan Adhisantoso, Jan Voges
    Cross-check of M62859 Results on Updated CE Results for Annotation Data Indexing Using B-Tree
    ISO/IEC JTC 1/SC 29/WG 8, April 2023
  • 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, Vol. 24, No. 1, p. 121, March 2023
  • 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
  • Yeremia Gunawan Adhisantoso
    Recommendation on MPEG-G Part 6 Record Structure m61340
    ISO/IEC JTC 1/SC 29/WG 8 , October 2022
  • 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
  • Yeremia Gunawan Adhisantoso, Jörn Ostermann,
    Contact Matrix Compressor
    2022 Data Compression Conference (DCC), pp. 399-408, March 2022
  • Yeremia Gunawan Adhisantoso
    Technical comments for Study on FDIS 23092-6 document m59160
    ISO/IEC JTC 1/SC 29/WG 8 , January 2022
  • Quy Le Xuan, Yeremia Gunawan Adhisantoso, Marco Munderloh, Jörn Ostermann
    Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning
    16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME, 2022
  • 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
  • Yeremia Gunawan Adhisantoso, Jörn Ostermann
    Efficient Coding of Contact Matrices m57789
    ISO/IEC JTC 1/SC 29/WG 8 , October 2021
  • Yeremia Gunawan Adhisantoso
    Verification of the Extension to the Coding of Contact Matrix m58073
    ISO/IEC JTC 1/SC 29/WG 8, October 2021
  • Yeremia Gunawan Adhisantoso
    Cross-check CE3 Extension of Contact Matrix Compressor m58074
    ISO/IEC JTC 1/SC 29/WG 8 , October 2021
  • 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
  • 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
  • Yeremia Gunawan Adhisantoso, Jörn Ostermann
    Method for the Coding of Contact Matrix m56622
    ISO/IEC JTC 1/SC 29/WG 8 , April 2021
  • Yeremia Gunawan Adhisantoso
    CE3 Results LUH on Contact Matrix m56623
    ISO/IEC JTC 1/SC 29/WG 8 , April 2021
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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, No. 1, November 2019
  • 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, June 2018
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