Seznam zaměstnanců
Masoud Khaleghiabbasabadi
E masoud.khaleghiabbasabadi@tul.cz
Zařazení
- Oddělení environmentální chemie (OECH): člen katedry
2024
- AHMED KHAN, I. aj. A scenario-based genetic algorithm for controlling supercapacitor aging and degradation in the industry 4.0 era Engineering Applications of Artificial Intelligence Oxford: Pergamon Elsevier Science LTD, 2024, roč. 133, č. July. S. neuvedeny (18 stran). ISSN: 0952-1976. https://www.sciencedirect.com/science/article/pii/S0952197624001738?dgcid=coauthor#ack0010
- KHALEGHIABBASABADI, M. aj. Activation of persulfate for the degradation of vancomycin via heteroatom doped graphene oxide [konference].
2023
- GHEIBI, M. aj. A risk-based soft sensor for failure rate monitoring in water distribution network via adaptive neuro-fuzzy interference systems Scientific Reports NATURE PORTFOLIO, 2023, roč. 13, č. 1. S. neuvedeny (27 stranky). ISSN: 2045-2322. https://www.nature.com/articles/s41598-023-38620-w#Ack1
- GHEIBI, M. aj. A Smart Bioreactor-based Production and Distribution System for Spirulina Algae in Developed Countries International Journal of Innovative Technology and Interdisciplinary Sciences : Tallinn: TULTECH, 2023 S. 1 – 9. ISSN: 2613-7305. https://journals.tultech.eu/index.php/ijitis/article/view/105
- KHALEGHIABBASABADI, M. aj. Adsorptive Removal of Ibuprofen from Water by Biopolymer-Functionalized Magnetic Graphene Oxide Central European Conference ECOpole’23, 2023S. https://ecesociety.com/accepted-contributions-4/
- AKRAMI, M. aj. Application of Decision-Making Techniques for Prioritizing Water Treatment Technology in Flood Events: A Preventive Crisis Management in the Czech Republic [online]. Dostupné z: https://meetingorganizer.copernicus.org/EGU23/EGU23-9445.html. ISSN .https://meetingorganizer.copernicus.org/EGU23/EGU23-9445.html
- GHEIBI, M. aj. Design of a Decision Support System to Operate a NO2 Gas Sensor Using Machine Learning, Sensitive Analysis and Conceptual Control Process Modelling Chemosensors Multidisciplinary Digital Publishing Institute (MDPI), 2023, roč. 11, č. 2. S. neuvedeny (15 stran). ISSN: 2227-9040. https://www.mdpi.com/2227-9040/11/2/126
- GHEIBI, M. aj. Intelligent Estimation of Total Suspended Solids (TSS) in Wastewater Treatment Plants Utilizing Non-Liner Regression Analysis Journal of Transactions in Systems Engineering : Tallinn: TULTECH, 2023 S. 1 – 6. ISSN: 2806-2973. https://journals.tultech.eu/index.php/jtse/article/view/11
- GHEIBI, M., KHALEGHIABBASABADI, M., WACLAWEK, S. a ČERNÍK, M. Policy-making of hydrogen energy production in countries with the application of Shlaer – Mellor technique [online]. Dostupné z: https://www.hydrogendays2023.cz/programme/posters/. ISSN .https://www.hydrogendays2023.cz/programme/posters/
- GHEIBI, M. aj. Risk-based Decision Support System for Early Warning of Chemical Emissions in Flood Event: A Case Study of Crystallization Factories in Liberec City, Czech Republic [online]. Dostupné z: https://meetingorganizer.copernicus.org/EGU23/EGU23-9622.html. ISSN .https://meetingorganizer.copernicus.org/EGU23/EGU23-9622.html
- GHEIBI, M., KHALEGHIABBASABADI, M., WACLAWEK, S. a ČERNÍK, M. Statistical techno-economic assessment of renewable energy supplying of water splitting in hydrogen production process (A case study of USA) [online]. Dostupné z: https://www.hydrogendays2023.cz/programme/posters/. ISSN .https://www.hydrogendays2023.cz/programme/posters/
- KHALEGHIABBASABADI, M. aj. Synthesis of Magnetic Graphene Oxide-Biopolymer for Ibuprofen Removal from Water SKFM 2023 Studentská konference FM Liberec: Technická univerzita v Liberci, 2023 S. neuvedeny (2 stranky). https://sk.fm.tul.cz/2023/proceedings/abstracts/abstract-khaleghiabbasabadi.pdf
- GHEIBI, M., KHALEGHIABBASABADI, M., WACLAWEK, S. a ČERNÍK, M. Viewpoints of Gaseous H₂ (Fuel Cell Vehicle) applications in green sustainable transportation system (A case study of California state, USA) [online]. Dostupné z: https://www.hydrogendays2023.cz/programme/posters/. ISSN .https://www.hydrogendays2023.cz/programme/posters/
2022
- KHALEGHIABBASABADI, M. aj. Novel No2 Gas Sensor Based on Magnetic 2-naphthalenesulfonic Acid-grafted Reduced Graphene Oxide Quantum Dot Nano Composite Central European Conference ECOpole’22 Opole: , 2022S. https://docs.google.com/document/d/1_6hXtK4paOxqtNPM4qsohJmV85GfSd8K/edit?usp=share_link&ouid=104479529759460462969&rtpof=true&sd=true