Research Associate
2023 - present
Scientific Database System — The rapid evolution of scientific research, characterized by increasingly complex experiments and voluminous data, necessitates the development of robust scientific database systems. These systems are pivotal in managing, storing, and processing large-scale, heterogeneous datasets, enabling researchers to uncover novel insights across various scientific disciplines. This work presents a comprehensive overview of the current state and future directions of scientific database systems, highlighting their unique requirements, design considerations, and the challenges they face.
Lead Developer
2017 - present
BORA — Personalized collaBORAtive data display. [Github](https://github.com/kit-ipe/bora)
  • Poster at Heika 2023
  • Poster at MT 2023
Lead Developer
2016 - present
WAVE — Web-based Analysis and Visualization of Volumes. [Github](https://github.com/kit-ipe/WAVE-Client-Renderer)
  • Tan Jerome, N., Chilingaryan, S., Shkarin, A., Kopmann, A., Zapf, M., Lizin, A., & Bergmann, T. (2017, February). WAVE: A 3D Online Previewing Framework for Big Data Archives. In VISIGRAPP (3: IVAPP) (pp. 152-163).
  • Sebastian Schmelzle, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas Tan Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach, Thomas van de Kamp, 'The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data', Proc. SPIE 10391, Developments in X-Ray Tomography XI, 103910P (26 September 2017); https://doi.org/10.1117/12.2275959
  • Tan Jerome, N., Ateyev, Z., Lebedev, V., Hopp, T., Zapf, M., Chilingaryan, S., & Kopmann, A. (2018). Visualisation of Ultrasound Computer Tomography Breast Dataset. KIT Scientific Publishing.
  • Tan Jerome, N., & Kopmann, A. (2018). Digital Visual Exploration Library. In VISIGRAPP (3: IVAPP) (pp. 341-348).
  • Tan Jerome, N. (2019). Low-latency big data visualisation. KIT Scientific Publishing.
  • Tan Jerome, N., Ateyev, Z., Schmelzle, S., Chilingaryan, S., & Kopmann, A. (2019). Real-Time Local Noise Filter in 3-D Visualization of CT Data. IEEE Transactions on Nuclear Science, 66(7), 1296-1303.
  • Tan Jerome, N., Chilingaryan, S., van de Kamp, T., & Kopmann, A. (2023). Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets. arXiv preprint arXiv:2311.15038.