Szymon Szczęsny

Szymon Szczęsny

Politechnika Poznanska

H-index: 10

Europe-Poland

About Szymon Szczęsny

Szymon Szczęsny, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at Politechnika Poznanska, specializes in the field of Neuroscience, Sensors, CMOS, Microelectronics, Neurocybernetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Overview of spiking neural network learning approaches and their computational complexities

Explainable spiking neural network for real time feature classification

Study of the Complexity of CMOS Neural Network Implementations Featuring Heart Rate Detection

Sensor data analysis and development of machine learning models for detection of glaucoma

CMOS Perceptron for Vesicle Fusion Classification

Exocytotic vesicle fusion classification for early disease diagnosis using a mobile GPU microsystem

3rd Generation Networks in UAV Vision Systems

Spiking Neural Network with Linear Computational Complexity for Waveform Analysis in Amperometry

Szymon Szczęsny Information

University

Position

___

Citations(all)

209

Citations(since 2020)

104

Cited By

137

hIndex(all)

10

hIndex(since 2020)

6

i10Index(all)

10

i10Index(since 2020)

3

Email

University Profile Page

Politechnika Poznanska

Google Scholar

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Szymon Szczęsny Skills & Research Interests

Neuroscience

Sensors

CMOS

Microelectronics

Neurocybernetics

Top articles of Szymon Szczęsny

Title

Journal

Author(s)

Publication Date

Overview of spiking neural network learning approaches and their computational complexities

Paweł Pietrzak

Szymon Szczęsny

Damian Huderek

Łukasz Przyborowski

2023/3/11

Explainable spiking neural network for real time feature classification

Journal of Experimental & Theoretical Artificial Intelligence

Szymon Szczęsny

Damian Huderek

Łukasz Przyborowski

2021/8/2

Study of the Complexity of CMOS Neural Network Implementations Featuring Heart Rate Detection

Electronics

Piotr Baryczkowski

Sebastian Szczepaniak

Natalia Matykiewicz

Kacper Perz

Szymon Szczęsny

2023/10/17

Sensor data analysis and development of machine learning models for detection of glaucoma

Biomedical Signal Processing and Control

Hubert Świerczyński

Juliusz Pukacki

Szymon Szczęsny

Cezary Mazurek

Robert Wasilewicz

2023/9/1

CMOS Perceptron for Vesicle Fusion Classification

Electronics

Mariusz Naumowicz

Paweł Pietrzak

Szymon Szczęsny

Damian Huderek

2022/3/8

Exocytotic vesicle fusion classification for early disease diagnosis using a mobile GPU microsystem

Neural Computing and Applications

Szymon Szczęsny

Paweł Pietrzak

2022/3

3rd Generation Networks in UAV Vision Systems

Modern Technologies Enabling Safe and Secure UAV Operation in Urban Airspace

Szymon Szczęsny

Damian Huderek

2021

Spiking Neural Network with Linear Computational Complexity for Waveform Analysis in Amperometry

Sensors

Szymon Szczęsny

Damian Huderek

Łukasz Przyborowski

2021/1

60 pW 20 μm size CMOS implementation of an actual soma membrane

Journal of Computational Electronics

Szymon Szczęsny

Damian Huderek

2020

0.50-V ultra-low-power Σ Δ modulator for sub-nA signal sensing in amperometry

IEEE Sensors Journal

Szymon Szczęsny

Marek Kropidłowski

Mariusz Naumowicz

2020/2/17

See List of Professors in Szymon Szczęsny University(Politechnika Poznanska)

Co-Authors

H-index: 12
joão oliveira

joão oliveira

Universidade Nova de Lisboa

H-index: 11
Andrzej Handkiewicz

Andrzej Handkiewicz

Politechnika Poznanska

H-index: 9
Michał Melosik

Michał Melosik

Politechnika Poznanska

H-index: 8
Mariusz Naumowicz

Mariusz Naumowicz

Politechnika Poznanska

H-index: 7
Piotr Katarzyński

Piotr Katarzyński

Politechnika Poznanska

H-index: 7
Marek Kropidlowski

Marek Kropidlowski

Politechnika Poznanska

academic-engine