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Forskningsetik vid Linnéuniversitetet
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Mehdi Saman Azari
Forskningsamanuens
Institutionen för datavetenskap och medieteknik
Fakulteten för teknik
mehdi.samanazari@lnu.se
0470-70 83 70
Spara kontaktuppgifter
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Mina forskargrupper
Cyber-Physical Systems (CPS)
Forskargruppen CPS ansvarar för forskning, undervisning och samverkan inom området cyberfysikaliska system.
Engineering Resilient Systems (EReS)
Forskargruppen Engineering Resilient Systems (EReS) Research Lab bedriver forskning inom så kallad systemresiliens. EReS fokuserar på att undersöka (och…
Smart Industry Group (SIG)
Smart Industry Group (SIG) är en tvärvetenskaplig forskargrupp med expertis från datavetenskap och maskinteknik. SIG:s fokus är att göra produktion och produkter inom…
Publikationer
Artikel i tidskrift (Refereegranskat)
Saman Azari, M.
, Santini, S.,
Edrisi, F.
, Flammini, F. (2025).
Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization
.
Reliability Engineering & System Safety
. 254 (Part A).
Status: Publicerad
Saman Azari, M.
, Ricci, L., Santini, S.,
Flammini, F.
(2025).
An Intelligent Diagnostic Framework Based on Digital Twins and Partial Transfer Learning : Methodology and Industrial Application
.
IEEE Transactions on Industrial Cyber-Physical Systems
. 3. 1-13.
Status: Publicerad
Dirnfeld, R., De Donato, L., Somma, A.,
Saman Azari, M.
, Marrone, S.,
et al
. (2024).
Integrating AI and DTs : challenges and opportunities in railway maintenance application and beyond
.
Simulation (San Diego, Calif.)
. 100 (9). 903-917.
Status: Publicerad
De Donato, L., Dirnfeld, R., Somma, A., De Benedictis, A.,
Flammini, F.
,
et al
. (2023).
Towards AI-assisted digital twins for smart railways : preliminary guideline and reference architecture
.
Journal of Reliable Intelligent Environments
. 9 (3). 303-317.
Status: Publicerad
Rajabi, S.,
Saman Azari, M.
, Santini, S.,
Flammini, F.
(2022).
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
.
Expert systems with applications
. 206.
Status: Publicerad
Singh, P.,
Saman Azari, M.
, Vitale, F.,
Flammini, F.
, Mazzocca, N.,
et al
. (2022).
Using log analytics and process mining to enable self-healing in the Internet of Things
.
Environment Systems and Decisions
. 42 (2). 234-250.
Status: Publicerad
Saman Azari, M.
, Ramezani, A., Rajabi, S., Chaibakhsh, A. (2012).
Using One-Class Support Vector Machine for the Fault Diagnosis of an Industrial Once-Through Benson Boiler
.
The Modares Journal of Electrical Engineering
. 12 (3). 39-45.
Status: Publicerad
Konferensbidrag (Refereegranskat)
Edrisi, F.
,
Saman Azari, M.
(2023).
Digital Twin for Sustainability Assessment and Policy Evaluation : A Systematic Literature Review
.
2023 IEEE/ACM 7th International Workshop on Green And Sustainable Software (GREENS)
. 1-8.
Saman Azari, M.
,
Flammini, F.
, Santini, S. (2022).
Improving Resilience in Cyber-Physical Systems based on Transfer Learning
.
2022 IEEE International Conference on Cyber Security and Resilience (CSR)
. 203-208.
Dirnfeld, R., De Donato, L.,
Flammini, F.
,
Saman Azari, M.
, Vittorini, V. (2022).
Railway Digital Twins and Artificial Intelligence : Challenges and Design Guidelines
.
Dependable Computing – EDCC 2022 Workshops. EDCC 2022
. 102-113.
Singh, P.,
Flammini, F.
,
Caporuscio, M.
,
Saman Azari, M.
, Thornadtsson, J. (2020).
Towards self-healing in the internet of things by log analytics and process mining
.
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
. 4644-4651.
Saman Azari, M.
,
Flammini, F.
,
Caporuscio, M.
, Santini, S. (2019).
Data-Driven Fault Diagnosis of Once-through Benson Boilers
.
2019 4th International Conference on System Reliability and Safety (ICSRS)
. 345-354.
Saman Azari, M.
, Rajabi, S., Ramezani, A., Chaibakhsh, A. (2016).
Fault diagnosis of an industrial once-through benson boiler by utilizing adaptive neuro-fuzzy inference system
.
2016 6th Conference on Thermal Power Plants (CTPP)
. 32-37.
Rajabi, S.,
Saman Azari, M.
, Momeni, H., Ramezani, A. (2016).
Automated fault diagnosis of rolling element bearings based on morphological operators and M-ANFIS
.
24th Iranian Conference on Electrical Engineering (ICEE)
. 1757-1762.
Kapitel i bok, del av antologi (Refereegranskat)
Assenza, G., Cozzani, V.,
Flammini, F.
, Gotcheva, N., Gustafsson, T.,
et al
. (2020).
White Paper on Industry Experiences in Critical Information Infrastructure Security : A Special Session at CRITIS 2019
.
Critical Information Infrastructures Security14th International Conference, CRITIS 2019, : Linköping, Sweden, September 23–25, 2019, Revised Selected Papers
. Springer. 197-207.
Artikel, forskningsöversikt (Refereegranskat)
Saman Azari, M.
,
Flammini, F.
, Santini, S.,
Caporuscio, M.
(2023).
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
.
IEEE Access
. IEEE. 11. 12887-12910.
Status: Publicerad