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Rasmus Fjordbak Nielsen
Rasmus Fjordbak Nielsen
Process Engineer at ParticleTech Aps
Preverjeni e-poštni naslov na particletech.dk
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Leto
Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes
CL Gargalo, I Udugama, K Pontius, PC Lopez, RF Nielsen, ...
Journal of Industrial Microbiology & Biotechnology: Official Journal of the …, 2020
1152020
Hybrid machine learning assisted modelling framework for particle processes
RF Nielsen, N Nazemzadeh, LW Sillesen, MP Andersson, KV Gernaey, ...
Computers & Chemical Engineering 140, 106916, 2020
512020
Integrated process design and control of cyclic distillation columns
BB Andersen, RF Nielsen, IA Udugama, E Papadakis, KV Gernaey, ...
IFAC-PapersOnLine 51 (18), 542-547, 2018
312018
Driving force based design of cyclic distillation
RF Nielsen, JK Huusom, J Abildskov
Industrial & Engineering Chemistry Research 56 (38), 10833-10844, 2017
282017
Integration of first-principle models and machine learning in a modeling framework: An application to flocculation
N Nazemzadeh, AA Malanca, RF Nielsen, KV Gernaey, MP Andersson, ...
Chemical Engineering Science 245, 116864, 2021
272021
Novel strategies for predictive particle monitoring and control using advanced image analysis
RF Nielsen, NA Kermani, L la Cour Freiesleben, KV Gernaey, ...
Computer Aided Chemical Engineering 46, 1435-1440, 2019
92019
A hybrid model predictive control strategy using neural network based soft sensors for particle processes
RF Nielsen, KV Gernaey, SS Mansouri
Computer Aided Chemical Engineering 48, 1177-1182, 2020
82020
Integration of computational chemistry and artificial intelligence for multi-scale modeling of bioprocesses
N Nazemzadeh, LW Sillesen, RF Nielsen, MN Jones, KV Gernaey, ...
Computer Aided Chemical Engineering 48, 295-300, 2020
82020
Pilot Plant 4.0: A review of digitalization efforts of the Chemical and Biochemical Engineering Department at the Technical University of Denmark (DTU)
MN Jones, M Stevnsborg, RF Nielsen, D Carberry, K Bagherpour, ...
Computer Aided Chemical Engineering 49, 1525-1530, 2022
62022
Graphical tools for designing intensified distillation processes: methods and applications
N Nazemzadeh, IA Udugama, RF Nielsen, K Meyer, ES Perez-Cisneros, ...
Process Intensification: Design Methodologies, 145-179, 2019
62019
An uncertainty-aware hybrid modelling approach using probabilistic machine learning
RF Nielsen, N Nazemzadeh, MP Andersson, KV Gernaey, SS Mansouri
Computer Aided Chemical Engineering 50, 591-597, 2021
42021
Implementation of first-principles surface interactions in a hybrid machine learning assisted modelling of flocculation
N Nazemzadeh, RF Nielsen, KV Gernaey, SS Mansouri, MP Andersson
Computer Aided Chemical Engineering 50, 845-850, 2021
22021
Hybrid Modelling Strategies for Development of Digital Twins
RF Nielsen
Technical University of Denmark, 2021
2021
Hybride modeller: En pragmatisk implementering af Industri 4.0
RF Nielsen, N Nazemzadeh, MP Andersson, KV Gernaey, SS Mansouri
Dansk Kemi 101 (8), 18-20, 2020
2020
A Hybrid Model Based Model Predictive Control Strategy for Particle Processes
RF Nielsen, KV Gernaey, SS Mansouri
2020 AIChE Annual Meeting, 2020
2020
Hybrid Modelling Framework for on-Line Data-Driven Modelling of Particle Processes
RF Nielsen, N Nazemzadeh, MP Andersson, KV Gernaey, SS Mansouri
2020 AIChE Annual Meeting, 2020
2020
Generic Model-based Framework for Predictive Particle Monitoring using Advanced Image Analysis and Deep Learning
RF Nielsen, KV Gernaey, SS Mansouri
12th European Congress of Chemical Engineering, 2019
2019
Particle modelling using advanced image analysis and deep learning
RF Nielsen, KV Gernaey, SS Mansouri
1st International Young Professionals Conference on Process Engineering …, 2019
2019
En pragmatisk implementering af Industri 4.0
ARF Nielsen, N Nazemzadeh, M Peter, KV Andersson
Hybrid modelling and control framework for particle processes
RF Nielsen, KV Gernaey, SS Mansouri
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