معرفی
Nadav Bar is a Professor at the Department of Chemical Engineering under the Faculty of Natural Sciences at NTNU (Norwegian University of Science and Technology). His laboratory, the Microbial Feedback Control (MFC) Lab, focuses on integrating biotechnology with control theory to develop real-time feedback control systems for microbial processes.
Research Interests:
- Feedback control of microorganisms (e.g., Listeria monocytogenes, Corynebacterium glutamicum)
- Hybrid modeling combining machine learning and dynamical systems
- Optimal control of bioprocesses (e.g., fermentation)
- Gene regulatory networks and transcription/translation regulation
- High-pressure processing (HPP) for food safety
- Development of Digital Twins for bioreactor monitoring
Key Projects & Roles:
- Coordinator of iCulture (Horizon Europe, €7.8M, 2023–2028)
- Coordinator of AILEEN (AI-driven microbial control, €1.5M, 2023–2028)
- Leader of the iFermenter project (EU H2020, €5.6M, 2018–2022)
- Head of the MFC Lab, specializing in real-time bioprocess control
Lab Expertise: The lab designs microbial models (e.g., Monod growth models), implements advanced controllers (PID, MPC, Reinforcement Learning), and integrates software like MATLAB with bioreactor systems. They collaborate with industry partners on topics like antibiotic production, food safety via HPP, and circular bioeconomy.
Recent Trends in Publications: Focuses on bioprocess optimization, sensor fusion, HPP-induced bacterial responses, and gene regulatory network analysis. Recent work includes scalable bioprocesses using spent sulfite liquor and machine learning for COPD diagnostics.
Grants & Collaborations:
- Coordinator of BacPress (NOK 5.1M, Norwegian Research Council)
- ERA SysMed-COPD project (NOK 5.1M, 2018–2022)
- Collaborations with institutions like BioSystems and Lucullus (Securecell) for bioreactor software integration
Labs/Teams: The MFC Lab recruits students in Eng. Cybernetics, biotechnology, and analytical chemistry. Current PhD students include Fabienne Roessler, Yiwen Li, and Chinmay Patwardhan.
