Guiying Zhang | Computer Vision | Best Researcher Award

Dr. Guiying Zhang | Computer Vision | Best Researcher Award

Lecturer | Tianjin University of Technology and Education | China

Dr. Guiying Zhang is a dedicated researcher in microelectronics and communication engineering with expertise spanning electronic packaging reliability, wireless sensor networks, and antenna system design. Her notable contributions include advancing the understanding of lead-free solder joint reliability, developing innovative RFID chip structures, and proposing adaptive impedance matching systems capable of real-time optimization. Through her work, she has addressed critical challenges in electronic device reliability and wireless communication efficiency, demonstrating both technical depth and creativity. Her research outcomes are reflected in a strong record of publications in reputable journals and conferences, highlighting her sustained academic productivity. With an interdisciplinary approach integrating electronics, materials science, and signal processing, Dr. Zhang bridges theoretical research and practical applications. She continues to explore emerging technologies such as terahertz communication and intelligent sensor networks, positioning herself as a forward-looking scholar whose work has significant potential to influence future advancements in microelectronics and communication systems. She has six publications indexed in Scopus, with her work cited once by another document, reflecting an h-index of 1. These metrics demonstrate her emerging research contributions and measurable impact in her field.

Profile: Scopus

Featured Publication

1. Characterization of the Stress-optic Properties of Ceramics by Terahertz Time-domain Spectroscopy, Current Optics and Photonics, 2024.

 

Ladislav Karrach | Image Processing | Best Researcher Award

Dr. Ladislav Karrach | Image Processing | Best Researcher Award

Post student, Technical University in Zvolen, Slovakia

Profile

Orcid

Biography of Ladislav Karrach

👨‍💻 Ladislav Karrach is a seasoned computer programmer, systems designer, and analyst with nearly three decades of experience at Mint Kremnica, Slovakia. His work spans the administration of complex computer networks, database servers, and ERP systems, as well as designing internal information systems and developing web applications. He is deeply involved in enhancing manufacturing and logistics processes through his expertise in text recognition and machine vision technologies.

Education 🎓

Ladislav holds a PhD. from the Technical University in Zvolen (2017–2020), specializing in environmental and manufacturing technology. His PhD thesis focused on optimizing text recognition in images for industrial applications. Earlier, he earned an Ing. (equivalent to MSc) in Applied Informatics from the University of Žilina (1990–1995). His academic foundation includes operating systems, database systems, and programming languages such as Pascal, C/C++, and FoxPro.

Experience đź’Ľ

Since 1995, Ladislav has been contributing to Mint Kremnica, where he manages the administration of database servers, ERP systems, and designs tailored client-server applications. His work involves developing and integrating internal information systems that streamline the production processes, applying his skills in programming, data management, and automation technologies. He is also proficient in web programming using PHP, JavaScript, and other modern technologies.

Research Interests 🔬

Ladislav’s research interests are centered around data matrix codes, QR codes, and text recognition in real-world industrial environments. He explores how these technologies can be applied in manufacturing, distribution, and logistics to enhance automation. His recent work also delves into artificial neural networks and convolutional neural networks to optimize character recognition and matrix code classification.

Awards 🏆

Ladislav has been instrumental in the development of automated systems for recording personnel attendance, for which he contributed to the creation of a utility model application in 2019. His innovative work in data matrix codes and image processing has been recognized in multiple research publications, often nominated for recognition in academic and professional forums.

Selected Publications Top Notes 📚

2023 – Karrach, L. & PivarÄŤiová, E. Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations — A Comparative Study. J. Imaging. DOI: 10.3390/jimaging9090188

2023 – Karrach, L. & PivarÄŤiová, E. Using a Convolutional Neural Network for Machine Written Character Recognition. TEM Journal. DOI: 10.18421/TEM123-03

2022 – Karrach, L. & PivarÄŤiová, E. Location and Recognition of Data Matrix and QR Codes in Images. RAM-Verlag. ISBN: 978-3-96595-022-1

2021 – Karrach, L. & PivarÄŤiová, E. Comparative Study of Data Matrix Codes Localization and Recognition Methods. J. Imaging. DOI: 10.3390/jimaging7090163

2020 – Karrach, L., BoĹľek, P., & PivarÄŤiová, E. Recognition of Perspective Distorted QR Codes with a Partially Damaged Finder Pattern in Real Scene Images. Applied Sciences. DOI: 10.3390/app10217814

Ladislav Karrach | Computer Vision | Best Researcher Award

Dr. Ladislav Karrach | Computer Vision | Best Researcher Award

Post student, Technical University in Zvolen, Slovakia

Ladislav Karrach is a seasoned computer programmer and systems analyst from Kremnica, Slovakia. With a robust background in computer network administration and ERP systems, he has contributed significantly to the field of applied informatics since 1995. His dedication to technology and innovation has positioned him as a key player in developing internal information systems and enhancing client-server applications. 🖥️

Publication Profile

ORCID

Education

Ladislav holds a Ph.D. in Environmental and Manufacturing Technology from the Technical University in Zvolen, where he focused on text recognition in images and its applications in manufacturing processes. He also earned his Ing. (MSc) degree in Applied Informatics from the University of Žilina, specializing in information and control systems. 🎓

Experience

Since 1995, Ladislav has been working as a computer programmer and systems designer at Mint Kremnica, where he manages database servers, designs information systems, and develops client-server applications. His extensive experience includes web programming and administration of ERP systems, making him a versatile professional in the tech industry. đź’»

Research Focus

Ladislav’s research interests lie in the fields of image processing, particularly focusing on text recognition methods, data matrix codes, and character recognition technologies. He is dedicated to optimizing production processes through innovative technological solutions and is involved in various research projects that explore the applications of image recognition in manufacturing. 🔍

Awards and Honours

Ladislav has been recognized for his contributions to the field of informatics and manufacturing technology through various publications and collaborative projects. His work is highly regarded in academic circles, showcasing his commitment to advancing technology in practical applications. 🏅

Publication Top Notes

 Data Matrix Code Location Marked with Laser on Surface of Metal Tools. Acta Facultatis Technicae, XXII, 2017 (2), 29–38. – Cited by 1

 Data matrix code location in images acquired by camera. In Manufacturing and automation technology: book of abstracts, 15. – Cited by 0

The analysis of various methods for location of Data matrix codes in images. In ELEKTRO 2018: conference proceedings. – Cited by 2

 Comparing the impact of different cameras and image resolution to recognize the data matrix codes. Journal of Electrical Engineering, 286-292. – Cited by 4

 Optimizatio of manipulation logistics using data matrix codes. Advances in Science and Technology Research Journal, 173-180. – Cited by 3

 Recognition of Data Matrix Codes in Images and their Applications in Production Processes. Management Systems in Production Engineering, 154-161. – Cited by 5

 Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations — A Comparative Study. J. Imaging, 188. – Cited by 1