Assoc. Prof. Dr Andrea Suranyi | Health Evaluation | Best Researcher Award

Assoc. Prof. Dr Andrea Suranyi, University of Szeged, Hungary

Dr. Andrea Suranyi, MD, PhD, is an Associate Professor at the Department of Obstetrics and Gynecology, University of Szeged, Hungary. She specializes in obstetrical and gynecological ultrasound, with expertise in 3D ultrasound imaging and fetal medicine. She obtained her MD in 1994 and completed her PhD in 2000, focusing on fetal renal hyperechogenicity in complicated pregnancies. With over two decades of experience, she has contributed to numerous research projects, international collaborations, and peer-reviewed publications. She has received advanced training in ultrasound screening and fetal medicine from prestigious institutions, including the Fetal Medicine Foundation in London.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability for Best Researcher Award

Andrea Suranyi, MD, PhD, is a highly qualified researcher and clinician with extensive expertise in obstetrical and gynecological ultrasound. With a strong academic foundation from the University of Szeged and international training experiences in Belgium, Venezuela, and the UK, she has built a robust career in perinatal ultrasound research. Her contributions to the field include pioneering studies on fetal renal sonographic alterations and placental Doppler indices in pregnancies complicated by gestational diabetes. Her work is well-documented through peer-reviewed publications, and she has demonstrated leadership in designing and managing research projects.

🎓 Education & Training

University of Szeged, Hungary – MD (12/1994) 🏥
General Medicine
University of Szeged, Hungary – Postdoctoral Training (08/1998) 📚
University of Szeged, Hungary – PhD (06/2000) 🎓
Thesis: “Prenatal and postnatal evaluation of fetal renal hyperechogenicity in pregnancies complicated with pre-eclampsia and intrauterine growth retardation”
Residency Training 🏨
- Clinical Pathology – (2000) 🧪
- Pediatrics – (2003) 👶
Sonography Certifications 🔬
- Level ‘A’ (Basic Ultrasound in O&G) – (1994)
- Level ‘B’ (Advanced Ultrasound in O&G, Fetal Malformation Screening) – (2003)
International Certifications 🌍
- Fetal Medicine Foundation, UK (2011)
  Nuchal translucency, Doppler investigation, Cervical measurement

💼 Work Experience

University of Szeged, Hungary 🏛️
- Trainee – Dept. of Clinical Chemistry (1998-2000)
- Assistant Professor – Dept. of Clinical Chemistry (2000)
- Assistant Professor – Dept. of Obstetrics & Gynecology (2002-2008)
- Lecturer – Dept. of Obstetrics & Gynecology (2008-2014)
- Senior Research Fellow – Dept. of Obstetrics & Gynecology (2014-2022)
- Associate Professor – Dept. of Obstetrics & Gynecology (2022-Present)
International Research & Training 🌏
- 🇫🇷 Centre Medico-Chirurgical Arnault Tzack, France (1993)
- 🇧🇪 Hôpital de la Citadella, Belgium (1997) – Scholarship by CGRI
- 🇻🇪 Hospital Universitario de Los Andes, Venezuela (2001)
- 🇦🇹 Salzburg Medical Seminars, Austria – Women’s Health Course (2002)
- 🇬🇧 Fetal Medicine Foundation, London, UK (2015)

🏆 Achievements & Awards

Expert in Obstetric & Gynecologic Ultrasound 📡
- Specialist in 3D/4D ultrasound research & fetal renal imaging
Research on Fetal & Neonatal Renal Hyperechogenicity 🧬
- Multiple peer-reviewed publications
Scholarship Awards 🎖️
- CGRI Scholarship (Belgium, 1997)
- American Austrian Foundation & Soros Foundation (2002)
Advanced Sonography Training 🏅
- Vienna International School of 3D Ultrasonography (2011)
- International Methodological Training in 3D/4D Ultrasound (2012)

Publication Top Notes:

CD3⁺CD56⁺ NK T cells are significantly decreased in the peripheral blood of patients with psoriasis

CITED:92

Effects of magnesium supplementation on the glutathione redox system in atopic asthmatic children

CITED:49

Urinary magnesium excretion in asthmatic children receiving magnesium supplementation: a randomized, placebo-controlled, double-blind study

CITED:49

Placental three‐dimensional power Doppler indices in mid‐pregnancy and late pregnancy complicated by gestational diabetes mellitus

CITED:38

Maternal hematological parameters and placental and umbilical cord histopathology in intrauterine growth restriction

CITED:29

Prof. Alina Nechyporenko, Technische Hochschule Wildau, Germany

Dr. Alina Nechyporenko is an accomplished scientist and professor specializing in pattern recognition, biomedical signal processing, and data mining. Currently, she serves as a Scientist and Reader at the Technical University of Applied Sciences Wildau, Germany, where she works in the Department of Molecular Biotechnology and Functional Genome Analysis. She has also been a Professor at Kharkiv National University of Radio Electronics in Ukraine since 2018, contributing to the Faculty of Computer Science and the Department of Systems Engineering. Dr. Nechyporenko has over 70 publications in peer-reviewed journals and holds five patents. She is an expert evaluator for ISO/TC 276 Biotechnology and has been involved in several high-impact research projects, including Horizon2020, COST actions, and Erasmus+ initiatives. Her current research focuses on biomedical research, machine learning, and data management, with significant contributions to European life-science research and microbiome studies.

Summary of Suitability for the Best Researcher Award

Alina Nechyporenko is a highly accomplished researcher in the fields of Pattern Recognition, Biomedical Signal Processing, and Machine Learning, with an extensive academic and professional background. She has demonstrated significant contributions to biomedical research, particularly in the application of data mining and computational techniques in cancer therapy, microbiome research, and deep learning. Given her work and leadership in her respective fields, she is highly suitable for the Best Researcher Award.

Education and Training

Expert in Evaluation Competences
- Member of ISO/TC 276 Biotechnology, WG 2, WG 5, and national TC 166 “Clinical laboratory studies and systems for in vitro diagnostics.”
- Technical Committee and Reviewer for the UKRCON IEEE conference.
Ph.D. in Computer Science
- Specialization in Biomedical Signal Processing and Pattern Recognition
- Thesis focused on data management and machine learning applications.
Publications and Patents
- Over 70 publications in peer-reviewed scientific journals
- Holder of 5 patents related to biomedical and computational applications.

Work Experience

2019 – Present

Scientist and Reader for Pattern Recognition, Biomedical Signal Processing
- Technical University of Applied Sciences Wildau, Germany
- Conducting research in areas such as data mining, machine learning, and data management within the Department of Molecular Biotechnology and Functional Genome Analysis.
- Participates in Horizon2020 grant agreement ID: 654156 (RItrain – Research Infrastructures Training Programme), COST CA15110 (Harmonising standardisation strategies in European life-science research), and Erasmus + Capacity-building projects.
- Engaged in COST CA18131 (Statistical and machine learning techniques in human microbiome studies) and DAAD “Digital Ukraine: Ensuring academic success in times of crisis” projects (2022 – 2025).

Since 2018

Professor
- Kharkiv National University of Radio Electronics, Ukraine
- Faculty of Computer Science & Department of Systems Engineering
- Involved in teaching and research, focusing on pattern recognition, data processing, and systems engineering.