Mr Preslav Aleksandrov

  • Research Assistant (Electronic & Nanoscale Engineering)
  • Affiliate (School of Engineering)

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: 5.

2024

Dixit, A. , Rezaei, A. , Xeni, N., Kumar, N. , Dutta, T. , Topaloglu, I. , Aleksandrov, P. , Asenov, A. and Georgiev, V. (2024) Unravelling the Impact of Random Dopant Fluctuations on Si-Based 3nm NSFET: A NEGF Analysis. In: IEEE 24th International Conference on Nanotechnology (NANO), Gijon, Spain, 08-11 Jul 2024, pp. 5-8. ISBN 9798350386240 (doi: 10.1109/NANO61778.2024.10628880)

Kumar, N. , Aleksandrov, P. , Gao, Y., Macdonald, C. , García, C. P. and Georgiev, V. (2024) Combinations of analytical and machine learning methods in a single simulation framework for amphoteric molecules detection. IEEE Sensors Letters, 8(7), 1501004. (doi: 10.1109/LSENS.2024.3408101)

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 Thu Nov 21 04:15:41 2024 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 5.

Articles

Kumar, N. , Aleksandrov, P. , Gao, Y., Macdonald, C. , García, C. P. and Georgiev, V. (2024) Combinations of analytical and machine learning methods in a single simulation framework for amphoteric molecules detection. IEEE Sensors Letters, 8(7), 1501004. (doi: 10.1109/LSENS.2024.3408101)

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

Dixit, A. , Rezaei, A. , Xeni, N., Kumar, N. , Dutta, T. , Topaloglu, I. , Aleksandrov, P. , Asenov, A. and Georgiev, V. (2024) Unravelling the Impact of Random Dopant Fluctuations on Si-Based 3nm NSFET: A NEGF Analysis. In: IEEE 24th International Conference on Nanotechnology (NANO), Gijon, Spain, 08-11 Jul 2024, pp. 5-8. ISBN 9798350386240 (doi: 10.1109/NANO61778.2024.10628880)

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 Thu Nov 21 04:15:41 2024 GMT.