Dr. Amil Aligayev is a researcher at the Multiscale Hybrid Modelling of Materials (MHMM) group within the NOMATEN Center of Excellence for Multifunctional Materials at the National Centre for Nuclear Research (NCBJ), Poland. He earned his B.Sc. in Physics with high honors from Baku Engineering University (2019), an M.Sc. in Condensed Matter Physics from the University of Electronic Science and Technology of China (2021), and a Ph.D. from the University of Science and Technology of China (2025), where he received a "Summa cum laude" for academic excellence.
His research spans catalysis, electrochemistry, analytical, physical, organic, inorganic and computational chemistry, with a strong focus on sustainable energy technologies. He integrates artificial intelligence and machine learning with experimental and multi-scale simulation approaches to design advanced nanoparticles and catalytic systems for energy applications.
Dr. Aligayev has published several high-impact papers in leading peer-reviewed journals and presented his work at major international conferences. He has also been involved in collaborations with renowned institutions across Europe, Asia, and North America.
He is an active member of professional scientific communities and has been recognized for his contributions to advancing materials science and sustainable energy research.
Dr. Amil Aligayev is a researcher at the Multiscale Hybrid Modelling of Materials (MHMM) group within the NOMATEN Center of Excellence for Multifunctional Materials at the National Centre for Nuclear Research (NCBJ), Poland. He earned his B.Sc. in Physics with high honors from Baku Engineering University (2019), an M.Sc. in Condensed Matter Physics from the University of Electronic Science and Technology of China (2021), and a Ph.D. from the University of Science and Technology of China (2025), where he received a "Summa cum laude" for academic excellence.
His research spans catalysis, electrochemistry, analytical, physical, organic, inorganic and computational chemistry, with a strong focus on sustainable energy technologies. He integrates artificial intelligence and machine learning with experimental and multi-scale simulation approaches to design advanced nanoparticles and catalytic systems for energy applications.
Dr. Aligayev has published several high-impact papers in leading peer-reviewed journals and presented his work at major international conferences. He has also been involved in collaborations with renowned institutions across Europe, Asia, and North America.
He is an active member of professional scientific communities and has been recognized for his contributions to advancing materials science and sustainable energy research.