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Stochastik für Ingenieure
Practice Course
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Scientific work in engineering
Supervision
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Computergestützte Numerik für Ingenieure
Practice Course
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Fernstudium Computergestützte Numerik und Stochastik für Ingenieure
PRACTICE COURSE
Dr.-Ing. Julian Salomon
Dr.-Ing. Julian Salomon
Phone
Address
Callinstraße 34
30167 Hannover
30167 Hannover
Building
Room
Dr.-Ing. Julian Salomon
Phone
Research
- Resilience Research
- Risk and Reliability Analysis
- Artificial Intelligence and Machine Learning
- Data Analysis
- Decision Making
- Optimization Methods
- Project Management
- Academic Teaching
- Research Funding Acquisition
Curriculum Vitae
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Employment History
Since 2017
Scientific Employee at the Institute for Risk and Reliability at the Leibniz University Hannover2016 - 2017
Scientific assistant employed at the Institute for Risk and Reliability at the Leibniz University Hannover -
Education
since 2020
Fernuniversität Hagen
Master programme: Business Administration and Economics for Engineers and Natural Scientists2013 - 2016
Gottfried Wilhelm Leibniz Universität Hannover
Degree: Master of Science, Computational Engineering (with honours)2009 - 2013
Gottfried Wilhelm Leibniz Universität Hannover
Degree: Bachelor of Science, Computational Engineering -
Honours and Awards
2017
T.I.M.E. (Top Industrial Managers for Europe) Association, Doctoral Summer School Scholarship2014
Deutschlandstipendium, Bundesministerium für Bildung und Forschung
Courses
Journal Articles
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(2023): Virtual process for evaluating the influence of real combined module variations on the overall performance of an aircraft engine, Journal of the Global Power and Propulsion Society, 7, 95–112.
DOI: 10.33737/jgpps/160055 -
(2023): The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems in the Context of Resilience Optimization, Disaster Prevention and Resilience, 2(2):4.
DOI: 10.20517/dpr.2023.03 -
(2022): Multidimensional Resilience Decision-Making for Complex and Substructured Systems, Resilient Cities and Structures, 1, 61–78.
DOI: 10.1016/j.rcns.2022.10.005 -
(2021): Efficient Reliability Analysis of Complex Systems in Consideration of Imprecision, Reliability Engineering and System Safety, 216, Article 107972.
DOI: 10.1016/j.ress.2021.107972 -
(2019): Resilience Decision-Making Method For Complex Systems, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6(2), Article 020901. | File |
DOI: 10.1115/1.4044907
Research Projects
Current Research Projects at the Institute for Risk and Reliability
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Bayesian inference and updating for reliability analysis of complex systems under incomplete knowledgeLed by: Prof. Dr.-Ing. Michael BeerTeam:Year: 2020Funding: granted by Sino-German Center for Research Promotion (Sino-German Mobility Program), Project number M-0175 Amount: € 93,580Duration: 01/2021 - 12/2023
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SPP 2388: Intelligent resilience analysis for infrastructure considering uncertain real-time dataLed by: Prof. Dr.-Ing. Michael Beer, Dr. techn. Matteo BroggiTeam:Year: 2022Funding: DFG, Grant No. BE 2570/14-1 / BR 5446/9-1 , Amount: € 331,600Duration: 09/2022 – 08/2025
Finalized Research Projects at the Institute for Risk and Reliability
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H2020-MSCA-RISE-2016 “Reliability and Safety Engineering and Technology for large maritime engineering systems” (RESET)Led by: Prof. Dr.-Ing. Michael Beer (Beneficiary)Team:Year: 2017Funding: European Commission: 229.500,00€Duration: 05/2017 – 05/2021© gloriaurban4 (CC0)
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Resilience Based Decision Criteria for Optimal RegenerationLed by: Prof. Dr.-Ing. Michael Beer, Dr. techn. Matteo BroggiTeam:Year: 2018Funding: DFG Grant No. D5 in SFB871 (part of the Collaborative Research Center SFB871 “Regeneration of Complex Capital Goods"), Amount: € 349,600Duration: 01/2018 – 06/2022© Inspirationfeed (CC0)