Radosław Wajman

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Professor, DSc, PhD, Eng

Lodz University of Technology

Poland

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About

Radosław Wajman is a Professor at Lodz University of Technology in Poland. His research areas include machine learning applications in fluid dynamics, real-time fault detection in chemical processes, and the development of web application scripting languages. He has published recent articles focusing on topics such as supervised learning for anatomical identification and innovative techniques for measuring gas-liquid flow regimes.

Recent Grants

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System bezinwazyjnego monitorowania i diagnozowania czynnościowych zaburzeń dolnych dróg moczowych za pomocą tomografii elektrycznej oraz ultradźwiękowej

Open Date: 2021-01-01

Close Date: 2024-01-01

Grant: Close

Nowa generacja platformy tomografii przemysłowej do diagnostyki i sterowania procesami technologicznymi

Open Date: 2018-02-01

Close Date: 2021-09-01

Grant: Close

Smart tomographic sensors for advanced industrial process control

Open Date: 2018-01-01

Close Date: 2021-12-01

Articles (11)

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2025

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2025

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2023

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2022

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2021

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2021

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2021

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2021

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2020

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POLAND

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Radosław Wajman

Research Interests

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About

Recent Grants

Articles (11)

Supervised learning for lower urinary tract identification with limited and imbalanced training data

Renaming a JavaScript object key while preserving its original structure on the example of a graphical JSON editor application

Machine Learning for Two-Phase Gas-Liquid Flow Regime Evaluation Based on Raw 3D ECT Measurement Data

CKRIPT: A NEW SCRIPTING LANGUAGE FOR WEB APPLICATIONS

Real-Time Fault Detection and Diagnosis of CaCO3 Reactive Crystallization Process by Electrical Resistance Tomography Measurements

Quantitative evaluations with 2d electrical resistance tomography in the low-conductivity solutions using 3d-printed phantoms and sucrose crystal agglomerate assessments

Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control

The concept of 3D ECT system with increased border area sensitivity for crystallization processes diagnosis

Process monitoring of antisolvent based crystallization in low conductivity solutions using electrical impedance spectroscopy and 2-D electrical resistance tomography

On the use of a rotatable ect sensor to investigate dense phase flow: A feasibility study

The diagnostic of two-phase separation process using digital image segmentation algorithms

Collaborators (5)

Lidia Jackowska-Strumiłło

Robert Banasiak

Laurent Babout

Vesa Ruuskanen

Jacek Kucharski

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