JOURNAL ARTICLES

Niels Krausch, Jong Woo Kim, Tilman Barz, Sergio Lucia, Sebastian Groß, Matthias Huber, Stefan Schiller, Peter Neubauer, Mariano Cruz Bournazou. High-throughput screening of optimal process conditions using model predictive control. Submitted.

Lucas Kaspersetz, Marie-Therese Schermeyer, Nicolas Cruz. Automated bioprocess feedback operation in a high throughput facility via the integration of a mobile robotic lab assistant. Submitted.

Katharina Paulick, Simon Seidel, Christoph Lange, Annina Kemmer, Mariano Nicolas Cruz Bournazou, André Baier, Daniel Haehn (2022). Promoting Sustainability through Next-Generation Biologics Drug Development. MDPI Sustainability 2022, 14(8), 4401, https://doi.org/10.3390/su14084401.

Yeonsoo Kim, Jong Woo Kim (2022). Safe model-based reinforcement learning for nonlinear optimal control with state and input constraints. AIChE Journal, e17601, https://doi.org/10.1002/aic.17601.

Tae Hoon Oh, Hyun Min Park, Jong Woo Kim, Jong Min Lee (2022). Integration of Reinforcement Learning and Model Predictive Control to Optimize Semi-batch Bioreactor. AIChE Journal, e17658, https://doi.org/10.1002/aic.17658.

Hai Trieu Le, Tran Thanh Lam Nguyen, Tuan Anh Nguyen, Xuan Son Ha, Nghia Duong-Trung (2022). BloodChain: A Blood Donation Network Managed by Blockchain Technologies. MDPI Network 2022, 2(1), 21-35, https://doi.org/10.3390/network2010002.

Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolas Cruz Bournazou (2022). Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli. arXiv preprint arXiv:2203.07211, https://doi.org/10.48550/arXiv.2203.07211.

M. Nicolás Cruz-Bournazou, Harini Narayanan, Alessandro Fagnani, Alessandro Butté (2021). Hybrid Gaussian Process Models for continuous time series in bolus fed-batch cultures. bioRxiv, https://doi.org/10.1101/2021.12.27.474269.

Hiep Xuan Huynh, Be Ut Lai, Nghia Duong-Trung, Hai Thanh Nguyen, Cang Thuong Phan (2021). Modeling Population Dynamics for Facebook Information Dissemination. Concurrency Computation Practice and Experience (CCPE). Wiley. SCIE Web of Science, https://doi.org/10.1002/cpe.6333.

Ernesto Martínez, Jong Woo Kim, Tilman Barz, Mariano N. Cruz Bournazou (2021). Probabilistic Modeling for Optimization of Bioreactors using Reinforcement Learning with Active Inference. In Computer Aided Chemical Engineering (Vol. 50, pp. 419-424). Elsevier, https://doi.org/10.1016/B978-0-323-88506-5.50066-8.

Niels Krausch, Jong Woo Kim, Sergio de Lucia, Sebastian Gross, Tilman Barz, Peter Neubauer, Mariano N. Cruz Bournazou (2021). Optimal operation of parallel mini-bioreactors in bioprocess development using multi-stage MPC. bioRxiv,  https://doi.org/10.1101/2021.12.17.472671.

ByungJun Park, Jong Woo Kim, Jong Min Lee (2021). Data-driven offset-free multilinear model predictive control using constrained differential dynamic programming. Journal of Process Control107, 1-16, https://doi.org/10.1016/j.jprocont.2021.09.010.

Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolas Cruz Bournazou (2021). Model predictive control guided with optimal experimental design for pulse-based parallel cultivation. arXiv preprint arXiv:2112.10548, https://doi.org/10.48550/arXiv.2112.10548.

Judit Aizpuru, Annina Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolas Cruz Bournazou, Tilman Barz (2021). Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on Dynamic Time WarpingarXiv preprint arXiv:2112.13283https://doi.org/10.48550/arXiv.2112.13283.

Diego Rybski, Yunfei Li, Stefan Born, and Jürgen P. Kropp. (2021). Modeling Urban Morphology by Unifying Diffusion-Limited Aggregation and Stochastic Gravitation. Findings, June 2021, https://doi.org/10.32866/001c.22296.

Hiep Xuan Huynh, Linh Xuan Dang, Nghia Duong-Trung, Cang Thuong Phan (2021). Vietnamese Short Text Classification via Distributed Computation. International Journal of Advanced Computer Science and Applications (IJACSA) 12(6), 10.14569/IJACSA.2021.0120703.

Hiep Xuan Huynh, Nghia Duong-Trung, Tran Nam Quoc Nguyen, Bao Hoai Le, Tam Hung Le (2021). Maneuverable Autonomy of a Six-legged Walking Robot: Design and Implementation Make Through Deep Neural Networks and Hexapod Locomotion. International Journal of Advanced Computer Science and Applications (IJACSA) 12(6), 10.14569/IJACSA.2021.0120697.

CONFERENCES

Federico M. Mione, Alexis N. Silva, Martin F. Luna, M. Nicolas Cruz B., Ernesto C. Martinez (2022). Managing Experimental-Computational Workflows in Robotic Platforms using Directed Acyclic Graphs. Proceedings of the 14th International Symposium on Process Systems Engineering – PSE 2021 – June 19-23, 2022, Kyoto, Japan. 2022 Elsevier B.V.

Stefan Born , Annina Kemmer, Peter Neubauer (2021). Modelling the enzymatic release of glucose from a polysaccharide by mechanistic models and machine learning. European Conference on Data Analysis DSSV-ECDA 2021, July 7 – 9, 2021. Conference volume not yet published.

Kiran Madhusudhanan, Johannes Burchert, Lars Schmidt-Thieme, Nghia Duong-Trung, Stefan Born (2021). Yformer: U-Net Inspired Transformer. Architecture for Far Horizon Time Series Forecasting. Tenth International Conference on Learning Representations, ICLR 2022, April 25 – 29, 2022. Under review

An C. Tran, Hung Thanh Nguyen, Van Long Nguyen Huu, Nghia Duong-Trung (2021). Pesticide Label Detection Using Bounding Prediction-based Deep Convolutional Networks. International Conference on Future Data and Security Engineering (FDSE 2021). Springer LNCS. November 24-26, 2021. Ho Chi Minh city, Vietnam.

Nga Tang Thi Quynh, Ha Xuan Son, Trieu Hai Le, Hung Nguyen Duc Huy, Khanh Hong Vo, Huong Hoang Luong, Khoi Nguyen Huynh Tuan, Tuan Dao Anh, The Anh Nguyen, Nghia Duong-Trung (2021). Toward a Design of Blood DonationManagement by Blockchain Technologies. The 21st International Conference on Computational Science and its Applications (ICCSA). Workshop on Privacy in the Cloud/Edge/IoT World (PCEIoT). Springer LNCS. September 13-16, 2021. Cagliari, Italy.

Nghia Duong-Trung, Dung Ngoc Le Ha, Hiep Xuan Huynh (2021). Classification-Segmentation Pipeline for MRI via Transfer Learning and Residual Networks. The 6th International Conference on Research in Intelligent Computing in Engineering (RICE 2021). Springer LNEE. June 3-4, 2021. Binh Duong, Vietnam.

Xuan Son Ha, Trieu Hai Le, Tan Tai Phan, Hung Huy Duc Nguyen, Khanh Hong Vo, Nghia Duong-Trung (2021). Scrutinizing Trust and Transparency in Cash on Delivery Systems. The 13th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2020). Springer LNCS. December 18-20, 2020. Nanjing, China.

Xuan Son Ha, Trieu Le Hai, Nga Tang Thi Quynh, Hung Nguyen Duc Huy, Huong Hoang Luong, Nghia Duong-Trung (2021). Toward a Blockchain-based technology in dealing with emergencies in Patient-centered Healthcare Systems. In Proceedings of the 6th International Conference on Mobile, Secure and Programmable Networking (MSPN 2020). Springer LNCS. October 28-29, 2020, Paris, France.

Stefan Maak, Mark Dörr (2021). LARAsuite & Machine learning guided robotic high-throughput protein/enzyme screening. SiLA academic user conference, November 2021.

Lukas Kaspersetz (2021). Integration of a robotic small scale bioreactor system as a prerequisite for a self-learning & autonomous cultivation platform. BioProScale, March 2021, Berlin/virtual.

Lukas Kaspersetz (2021). BioXplorerFacility – What theH.E.L.? Interdisziplinäres Doktorandenseminar, Arbeitskreis Prozessanalytik, March 2021, virtual.

Marie-Therese Schermeyer (2021). Schneller zu neuen Biopharmaka im Zukunftslabor. Ideenkonferenz 2021, April 2021, Berlin/virtual.