Intelligent Monitoring Technology of Partial Discharge Based on an Integrated Sensing–Memory–Computation System.
Langmuir, 2025.
IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development.
Global Energy Interconnection, Volume 7, Issue 6, Pages 836-856, 2024.
Empowering IoT-based electrostatic sensing network with measurement and controlling strategies: From space-air-ground perspective.
Energy Reports, vol. 12, pp. 4607–4616, 2024.
Machine Learning with Physics Knowledge for Prediction: A Survey.
ArXiv, 2024.
Open Reference Architecture for Sustainable Papermaking based on Industrial Interoperability Standards and Cloud-Native Technologies.
IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 2024.
Optimal hourly scheduling of all-electric mine operations considering renewable energy integration.
VDI Wissensforum GmbH, Ed., pp. 841-854, 2024.
Towards fleet power and energy management of parallel hoist operation in underground mines.
9th International Conference and Exhibition on Mass Mining, MassMin 2024, 2024.
Numerical investigation on the convergence of self-consistent schrödinger-poisson equations in semiconductor device transport simulation.
Nanotechnology, vol. 35, no. 31, p. 315 001, 2024.
Jiezi: An open-source python software for simulating quantum transport based on non-equilibrium green’s function formalism.
Computer Physics Communications, vol. 302, p. 109 251, 2024.
Random telegraph noise characteristic of nonvolatile resistive random access memories based on optical interference principle.
Japanese Journal of Applied Physics, 2024.
Unsupervised learning of batch production steps based on toeplitz inverse covariance clustering.
VDI Wissensforum GmbH, Ed., pp. 791–804, 2023.
Comparison of various dynamic time warping approach for analysis of time series data from batch processes.
VDI Wissensforum GmbH, Ed., pp. 819–834, 2023.
Machine Learning Approaches for Phase Identification Using Process Variables in Batch Processes.
Chemie Ingenieur Technik, vol. 16, no. 1, 2023.
Deep anomaly detection on tennessee eastman process data.
Chemie Ingenieur Technik, vol. 16, no. 1, 2023.
Numerical and machine learning analysis of the parameters affecting the regionally delivered nasal dose of nano- and micro-sized aerosolized drugs.
Pharmaceuticals, vol. 16, no. 1, 2023.
Recognizing phases in batch production via interactive feature extraction.
IEEE International Conference on Robotics, Automation and Artificial Intelligence (RAAI), 2022.
An optical measurement method for nanosecond impulse signal monitoring of partial discharge based on fabry-perot interferometer sensing system.
Japanese Journal of Applied Physics, vol. 61, no. 10, p. 102 006, 2022.
Active learning application for recognizing steps in chemical batch production.
IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022, pp. 1–4.
Phase identification of batch processes by using active learning.
VDI-Berichte, VDI Verlag GmbH, Jun. 2022, pp. 625–636.
Material tracking based soft sensor for greenhouse gas emission monitoring in process industries.
VDI-Berichte, VDI Verlag GmbH, Jun. 2022, pp. 161–174.
Spatial Effect on Separatrix of Two-Cell System and Parameter Sensitivity Analysis.
Preprint Series of the Engineering Mathematics and Computing Lab. vol. 0, no. 01, 2021.
A simple model for portable and fast prediction of execution time and power consumption of GPU kernels.
ACM Trans. Archit. Code Optim.,vol. 18, no. 1, Dec. 2020.
Extraction of spatial-temporal features of bus loads in electric grids through clustering in a dynamic model space.
IEEE Access, no. 8, pp. 5852–5861, 2020.
Characterization simulation of a bulk mosfet in steady state with sipg method.
15th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), 2020, pp. 1–3.
Uncertainty assessment of the blood damage in a FDA blood pump.
Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2019.
Influence of potential induced degradation phenomena on electrical insulating backsheet in photovoltaic modules.
Journal of Cleaner Production, vol. 208, pp. 333 –339, 2019.
Studies of radiation effects in al2o3-based metal-oxide-semiconductor structures induced by si heavy ions.
Journal of Applied Physics, vol. 125, no. 11, p. 115 701, 2019.
Uncertainty quantification for a blood pump device with generalized polynomial chaos expansion.
Dissertation, Heidelberg University Library, 2018.
Investigation of the influence of electron avalanche on the crystallinity of backsheet in solar photovoltaic system for sustainable energy.
Journal of Cleaner Production, vol. 189, pp. 169–175, 2018.
HiFlow3 – technical report on release 2.0.
Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0, no. 06, 2017.
Multilevel preconditioner of polynomial chaos method for quantifying uncertainties in a blood pump.
International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2017.
Sparse grids for quantifying motion uncertainties in biomechanical models of radiotherapy patients.
Preprint Series of the Engineering Mathematics and Computing Lab, vol. 0, no. 01, 2017.
Numerical simulation and experiments on monopolar negative corona discharge applied in nanocomposites.
IEEE Transactions on Dielectrics and Electrical Insulation, vol. 24, no. 2, pp. 791–797, 2017.
A polynomial chaos method for uncertainty quantification in blood pump simulation.
International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Greece, 2015.
PDE modeling with modelica via fmi import of hiflow3 C++ components with parallel multi-core simulations.
Proceedings of the 55th Conference on Simulation and Modelling (SIMS 55), Modelling, Simulation and Optimization, 21-22 October 2014.