Science that changes the world

Ing. Nesrine Amor, Ph.D.

Specialisation: Artificial intelligence for advanced materials and engineering applications

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In my work, I combine my expertise in signal processing, machine learning, optimization, and materials engineering to develop innovative solutions to complex problems in the field of composite materials. My work focuses on improving sustainable materials and creating intelligent systems for real-world applications.

Od rané fascinace přírodou v dětství až po mou akademickou cestu v elektrotechnice mě vždy poháněla touha pracovat na něčem, co má opravdu hmatatelný dopad. Moje cesta začala zvědavostí, jak výzkum a data mohou způsobit revoluci v našem světě. Ve své práci se zaměřuji na aplikaci umělé inteligence a strojového učení na výzvy reálného světa, jako je vývoj udržitelných materiálů a optimalizace komponent z kompozitních materiálů. Zkoumáním průsečíku materiálové vědy a umělé inteligence se snažím vytvářet chytřejší a udržitelnější řešení. Na CXI TUL spolupracuji s geniálními mozky, abych posunula hranice technologií a inovací.

Key projects and achievements:

I publish scientific articles about my work on the use of artificial intelligence in materials science and engineering in prestigious journals such as Nature, Elsevier, and IEEE.
Here are some of my most important publications:

  • Nesrine Amor, Muhammad Tayyab Noman, Michal Petru, Neethu Sebastian and Deepak Balram, Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer, Expert Systems with Applications, (2024). https://doi.org/10.1016/j.eswa.2023.121474. Impact factor 8.5 (Q1).
  • Nesrine Amor, Muhammad Tayyab Noman, Michal Petru, Neethu Sebastian, Deepak Balram, Machining performance of TiO2 embedded-glass fiber reinforced composites with snake optimizer, Measurement (2024). https://doi.org/10.1016/j.measurement.2024.114253. Impact factor 5.6 (Q1).
  • Nesrine Amor, Muhammad Tayyab Noman, Michal Petru, Neethu Sebastian and Deepak Balram, A review on computational intelligence methods for modelling of light weight composite materials, Applied Soft Computing, (2023). https://doi.org/10.1016/j.asoc.2023.110812. Impact factor 8.7 (Q1).
  • Nesrine Amor, Muhammad Tayyab Noman, Michal Petru and Neethu Sebastian, Comfort Evaluation of ZnO Coated Fabrics by Artificial Neural Network Assisted with Golden Eagle Optimizer Model, Scientific Reports, (2022). https://doi.org/10.1038/s41598-022-10406-6. Impact factor 4.379 (Q1).
  • Nesrine Amor, Muhammad Tayyab Noman, Adla Ismail, Michal Petru, Neethu Sebastian, Use of an Artificial Neural Network for Tensile Strength Prediction of Nano Titanium Dioxide Coated Cotton, Polymers, (2022). https://doi.org/10.3390/polym14050937. Impact factor 4.3 (Q1).
  • Muhammad Tayyab Noman, Nesrine Amor, Michal Petru, Synthesis and Applications of ZnO Nanostructures (ZONSs): a review. Critical Reviews in Solid State and Materials Sciences (2021). https://doi.org/10.1080/10408436.2021.1886041. Impact factor 11.7 (Q1).
  • Nesrine Amor, Ghulam Rasool, Nidhal Carla Bouaynaya and Roman Shterenberg, Constrained Particle Filtering for Movement Identification in Forearm Prosthesis, Signal Processing, Elsevier, (2019). https://doi.org/10.1016/j.sigpro.2019.03.012. Impact factor 4.08 (Q1).
  • Nesrine Amor, Nidhal Carla Bouaynaya, Roman Shterenberg, and Souad Chebbi, “On the Convergence of the Constrained Particle Filters,” IEEE Signal Processing Letter, (2017) https://doi.org/10.1109/LSP.2017.2696160. Impact factor 2.8 (Q1).

Contact
nesrine.amor@tul.cz
www.linkedin.com/in/nesrine-amor-478b3a86

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