Michal Kruczkowski

PhD in Computer Science, Bydgoszcz University of Science and Technology, Bydgoszcz Poland, Hanyang University, Seoul, South Korea

Research Expertise

machine learning

data mining

healthcare

medicine 4.0

Biomedical Engineering

Optics and Photonics

Smart Sensors

About

Michal Kruczkowski is an accomplished professional with extensive experience in the implementation of AI algorithms in accordance with the fourth industrial revolution. With a strong background in business and academia, he has successfully led numerous projects related to digital transformation and education. His expertise is primarily focused on safety systems and predictive modelling in healthcare, and he currently leads a multidisciplinary data science research group that conducts cutting-edge research on applied artificial intelligence and predictive modelling. In addition, Michal is a dedicated educator who has introduced over 100 students each year to the most relevant techniques and applications of AI and predictive modelling. Follow Michal for insights into the latest developments in AI and predictive modelling, as well as updates on his ongoing research and educational initiatives.

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Publications

Support Vector Machine for Malware Analysis and Classification

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

2014

Cross-layer analysis of malware datasets for malicious campaigns identification

2015 International Conference on Military Communications and Information Systems (ICMCIS)

2015

Predictions of cervical cancer identification by photonic method combined with machine learning

Scientific Reports

2022

FP-tree and SVM for Malicious Web Campaign Detection

Intelligent Information and Database Systems

2015

Estimation of light detection efficiency for different light guides used in time-resolved near-infrared spectroscopy

Biocybernetics and Biomedical Engineering

2015

Low-Coherence Fibre-Optic Interferometric Sensors

Acta Physica Polonica A

2011

Machine learning for predictions of cervical cancer identification – preliminary investigation based on refractive index

Unknown Venue

2021

An algorithm for assessment of inflow and washout of optical contrast agent to the brain by analysis of time-resolved diffuse reflectance and fluorescence signals

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

2013

Implementation of SiN thin film in fiber-optic sensor working in telecommunication range of wavelengths

Scientific Reports

2021

The Rough Set Analysis for Malicious Web Campaigns Identification

Image Processing and Communications Challenges 10

2018

SYSTEM DO WYKRYWANIA KAMPANII ZŁOŚLIWEGO OPROGRAMOWANIA

PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE

2015

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Research Web Site

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