Mr Preslav Aleksandrov

Affiliate (School of Engineering)

email: Preslav.Aleksandrov@glasgow.ac.uk

Import to contacts

https://orcid.org/0009-0009-5198-9983

Biography

https://preslav.xyz/

I hold two master's degrees, both with a distinguished first-class designation and a perfect 4.0 GPA. These degrees encompass engineering and computer science, and I received the class prize for my outstanding master's thesis in federated learning. For five consecutive years, I earned a place on the engineering excellence list, reflecting my sustained commitment to excellence.

In 2020, I achieved second place in the Glasgow Coding Olympics, showcasing my expertise in computer science. Additionally, I received the esteemed William Johnstone Prize for Engineering Achievements. I have also been honored with two travel scholarships, enriching my global perspective.

Beyond my academic and professional endeavors, I am an active volunteer with DigDeep, a charity dedicated to providing clean water access to disadvantaged communities in Kenya. My journey underscores my dedication to learning, innovation, and making a meaningful contribution to society. I look forward to continuing to push the boundaries of knowledge and striving for excellence in all my pursuits.

Publications

List by: Type | Date

Jump to: 2024 | 2023

Number of items: 3.

2024

Brugnolotto, E., Aleksandrov, P. , Sousa, M. and Georgiev, V. (2024) Machine learning inspired nanowire classification method based on nanowire array scanning electron microscope images. Open Research Europe, 4, 43. (doi: 10.12688/openreseurope.16696.1)

2023

Aleksandrov, P. , Rezaei, A. , Xeni, N., Dutta, T. , Asenov, A. and Georgiev, V. (2023) Fully Convolutional Generative Machine Learning Method for Accelerating Non-Equilibrium Green’s Function Simulations. In: 2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Kobe, Japan, 27-29 September 2023, pp. 169-172. ISBN 9784863488038 (doi: 10.23919/SISPAD57422.2023.10319587)

Aleksandrov, P. , Rezaei, A. , Dutta, T. , Xeni, N., Asenov, A. and Georgiev, V. (2023) Convolutional machine learning method for accelerating non-equilibrium Green’s function simulations in nanosheet transistor. IEEE Transactions on Electron Devices, 70(10), pp. 5448-5453. (doi: 10.1109/TED.2023.3306319)

This list was generated on Tue May 7 15:32:54 2024 BST.

Jump to: Articles | Conference Proceedings

Number of items: 3.

Articles

Brugnolotto, E., Aleksandrov, P. , Sousa, M. and Georgiev, V. (2024) Machine learning inspired nanowire classification method based on nanowire array scanning electron microscope images. Open Research Europe, 4, 43. (doi: 10.12688/openreseurope.16696.1)

Aleksandrov, P. , Rezaei, A. , Dutta, T. , Xeni, N., Asenov, A. and Georgiev, V. (2023) Convolutional machine learning method for accelerating non-equilibrium Green’s function simulations in nanosheet transistor. IEEE Transactions on Electron Devices, 70(10), pp. 5448-5453. (doi: 10.1109/TED.2023.3306319)

Conference Proceedings

Aleksandrov, P. , Rezaei, A. , Xeni, N., Dutta, T. , Asenov, A. and Georgiev, V. (2023) Fully Convolutional Generative Machine Learning Method for Accelerating Non-Equilibrium Green’s Function Simulations. In: 2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Kobe, Japan, 27-29 September 2023, pp. 169-172. ISBN 9784863488038 (doi: 10.23919/SISPAD57422.2023.10319587)

This list was generated on Tue May 7 15:32:54 2024 BST.