Zsombor Kristóf Nagy at Budapest University of Technology and Economics - Research Interests, Publications & Academic Profile

Zsombor Kristóf Nagy

Budapest University of Technology and Economics

Hungary

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do Bangladeshi students reach out?

Meet Kite AI

Contact this professor

Send an email

ORCID

Google Scholar

Research Interests

Pharmaceutical Chemistry

40%

Tissue Engineering

30%

Powder Technology

30%

Drug Formulation

30%

Electrospinning

20%

Chemical Engineering

20%

Nanofluidics

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles14

In-line indirect concentration measurement of ultralow dose API during twin-screw wet granulation based on NIR and Raman spectroscopy

Article Link

Year:

2024

UV–VIS imaging-based investigation of API concentration fluctuation caused by the sticking behaviour of pharmaceutical powder blends

Article Link

Year:

2024

The History of Electrospinning: Past, Present, and Future Developments

Article Link

Year:

2023

Development and Comparison of Alternative Methods to Purify Adalimumab Directly from the Harvested Cell Culture Fluid

Article Link

Year:

2023

Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks

Article Link

Year:

2023

Oligonucleotide Formulations Prepared by High-Speed Electrospinning: Maximizing Loading and Exploring Downstream Processability

Article Link

Year:

2023

In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging

Article Link

Year:

2023

Droplet Based Estimation of Viscosity of Water–PVP Solutions Using Convolutional Neural Networks

Article Link

Year:

2023

Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision

Article Link

Year:

2023

AI-based analysis of in-line process endoscope images for real-time particle size measurement in a continuous pharmaceutical milling process

Article Link

Year:

2023

Evaluation of Different Thermoanalytical Methods for the Analysis of the Stability of Naproxen-Loaded Amorphous Solid Dispersions

Article Link

Year:

2022

Classification of Droplets of Water-PVP Solutions with Different Viscosity Values Using Artificial Neural Networks

Article Link

Year:

2022

Real-Time Monitoring of Continuous Pharmaceutical Mixed Suspension Mixed Product Removal Crystallization Using Image Analysis

Article Link

Year:

2022

Photocatalytic Crystalline and Amorphous TiO2 Nanotubes Prepared by Electrospinning and Atomic Layer Deposition

Article Link

Year:

2021

Collaborators7

Péter Hajdinák

Assistant professor

Budapest University of Technology and Economics

HUNGARY

Norbert Radacsi

Senior Lecturer

University of Edinburgh

UNITED KINGDOM

Antonios Keirouz

University of Bath

UNITED KINGDOM

Zoltán Erdélyi

Full professor, Head of Department

University of Debrecen

HUNGARY

Gyorgy Marosi

Professor

Budapest University of Technology and Economics

HUNGARY

Csaba Fehér

Assistant Professor

Budapest University of Technology and Economics

HUNGARY

Attila Farkas

Budapest University of Technology and Economics

HUNGARY

How do Bangladeshi students reach out?

Meet Kite AI