Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

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Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

Assist. Prof. Dr. Jing-Da Qiao, Guangzhou Medical University, China

Jingda Qiao is a dedicated biomedical researcher with a multidisciplinary background in pharmaceutical engineering, neuroscience, and biomedical science. He holds a Bachelor’s degree in Pharmaceutical Engineering from Guangzhou University of Chinese Medicine, a Master’s degree in Neuroscience from Zhongshan School of Medicine at Sun Yat-sen University under the supervision of Prof. Huaiyu Gu, and a Ph.D. in Biomedical Science from The Chinese University of Hong Kong, mentored by Professors Wing-Ho Yung and Ya Ke. Jingda’s research focuses on the pathogenesis and treatment of neurodevelopmental disorders, combining genome-wide sequencing with transgenic animal models such as mice and Drosophila to investigate novel disease-related genes. He is also actively engaged in exploring the mechanisms of learning, memory, and neural plasticity using electrophysiology, live imaging, and behavioral analysis. His technical expertise spans electrophysiology, molecular biology, behavioral neuroscience, and analytical chemistry. Recognized for his academic excellence, Jingda has received prestigious honors including the Guangdong Overseas Postdoctoral Fellowship and selection as a Young Talent under Guangzhou’s Senior Ranking Personnel Program.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award 

Dr. Jingda Qiao is a multidisciplinary biomedical scientist with strong academic foundations and hands-on expertise in neuroscience, biomedical science, and analytical chemistry. With advanced training across prestigious institutions in China and Hong Kong, his work bridges molecular, cellular, and behavioral neuroscience—making him a highly suitable candidate for the Best Researcher Award.

🎓 Education

  • 🧪 Bachelor of Engineering
    Major: Pharmaceutical Engineering
    Institution: Guangzhou University of Chinese Medicine

  • 🧠 Master of Science
    Major: Neuroscience
    Institution: Zhongshan School of Medicine, Sun Yat-sen University
    Supervisor: Prof. Huaiyu Gu

  • 🔬 Doctor of Philosophy (Ph.D.)
    Major: Biomedical Science
    Institution: The Chinese University of Hong Kong
    Supervisors: Prof. Wing-Ho Yung and Prof. Ya Ke

🧪 Research Experience & Skills

  • 🔋 Electrophysiology: Patch clamp (whole-cell), brain slice & in vivo LTP

  • 🧬 Molecular Biology: PCR, Western blot, ELISA, flow cytometry, paraffin sectioning

  • 🧠 Behavioral Studies: Rodent & Drosophila models for seizure, learning, memory

  • ⚗️ Analytical Chemistry: GC-MS, HPLC, TOF-MS, UV-Vis, gel filtration, membrane separation

  • 🔍 Microscopy: Laser scanning confocal & scanning electron microscopy

💡 Research Interests

  1. 🧠 Neurodevelopmental Disorders:

    • Gene identification via trio-based genome-wide sequencing

    • Use of transgenic mice and Drosophila to uncover disease mechanisms

  2. 🧠 Learning & Memory Mechanisms:

    • Applying electrophysiology, live imaging, and behavior analysis

    • Investigating synaptic plasticity and neural circuits involved in cognition

🏅 Honors & Awards

  • 🌍 Guangdong Overseas Postdoc Program
    (广东省海外青年博士后引进计划)

  • 🌟 Guangzhou High-Level Talent – Youth Reserve Talent
    (广州市高层次人才 青年后备人才)

Publication Top Notes:

Investigation of epilepsy-related genes in a Drosophila model

<i>ZFHX3</i> variants cause childhood partial epilepsy and infantile spasms with favourable outcomes

Identification of novel pathogenic genes of childhood epileptic encephalopathies

Heterozygous Variants in KCNJ10 Cause Paroxysmal Kinesigenic Dyskinesia Via Haploinsufficiency

The Interaction ofUBR4, LRP1, andOPHN1in Refractory Epilepsy:DrosophilaModel to Investigate the Oligogenic Effect on Epilepsy

Iodine Acetonitrile as a Drinking Water Disinfectant Showed a Potential Toxic Effect on Organism

 

Mrs. Niedja Santos | Biological Sensitivity Awards | Best Researcher Award

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Mrs. Niedja Santos | Biological Sensitivity Awards | Best Researcher Award 

Mrs. Niedja Santos, Aveiro Univertsity, Portugal

Dr. Niedja da Silva Santos is a toxicologist specializing in the toxicological evaluation of chemical compounds, particularly pharmaceuticals and emerging pollutants. She holds a Ph.D. in Biology – Ecotoxicology from the University of Aveiro, Portugal, where she investigated the impact of caffeine on zebrafish. She also earned a Master’s in Toxicology and Ecotoxicology from the same institution and a Bachelor’s degree in Biomedical Sciences from the Amazon Higher School in Brazil. Her research expertise includes genotoxic, biochemical, and statistical techniques for assessing toxicity biomarkers, with a focus on experimental models such as zebrafish and cellular assays. Dr. Santos has extensive teaching experience in ecology and experimental biology and is passionate about integrating toxicology and chemical safety concepts into education. She has collaborated with international research institutions, including the University of Brasília, and has conducted research on the toxicological effects of pharmaceuticals and heavy metals. Additionally, she has professional experience as a biomedical analyst in clinical pathology. Her work contributes to a deeper understanding of environmental toxicology and its implications for human and ecological health.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Dr. Niedja da Silva Santos is a highly qualified toxicologist with a strong research background in Ecotoxicology. Her academic achievements, professional experience, and extensive contributions to toxicology research make her a strong candidate for the Best Researcher Award.

🎓 Education

  • PhD in Biology – Ecotoxicology | University of Aveiro, Portugal (2024)
    • Thesis: “Impact of caffeine on zebrafish: A case study with environmental levels”
    • Supervised by Dr. Miguel Oliveira and Dr. Inês Domingues
  • Master’s in Toxicology and Ecotoxicology | University of Aveiro, Portugal (2017)
    • Dissertation: “Danio rerio chronic exposure to carbamazepine, a multiparametric assessment – from biochemical to behavioural responses”
    • Supervised by Dr. Inês Domingues, Dr. Miguel Oliveira, and Dr. Cesar Koppe Grisolia
  • Bachelor’s in Biomedical Science | Amazon Higher School, Brazil (2014)
    • Project: “Diagnosis of hantavirus in Brazil”
    • Supervised by Dr. Paula Laurindo
    • University Exchange Program | School of Health Technology of Coimbra, Portugal (2012 – 2013)
      • Neurobiology, Organic Chemistry, Clinical Laboratory Practices, Hematology, and Blood Transfusion

💼 Work Experience

  • University of Aveiro, Portugal
    • PhD Researcher in Biology – Ecotoxicology (2020 – 2024)
      • Conducted toxicological assessments on zebrafish, including biochemical, behavioural, and genotoxic evaluations
      • Research collaboration with the University of Brasília (2021 – 2022)
    • Teaching Assistant (2021 – 2022)
      • Conducted practical classes in Biological Oceanography and Fundamentals of Ecology
  • Clinical Pathology Laboratory Dr. Paulo Azevedo – Porto Dias Hospital, Brazil (2014 – 2015)
    • Biomedical Analyst in the Biochemical sector, analyzing biological samples for diagnostics
  • Volunteer Researcher | Federal Institute of Valparaíso de Goiás, Brazil (2018)

🏆 Achievements, Awards & Honors

  • Published toxicological research focusing on pharmaceuticals and emerging pollutants
  • Extensive experience in zebrafish models and molecular toxicology
  • Long-term research collaboration with international universities
  • Active role in teaching and mentoring students in ecology and toxicology

Publication Top Notes:

Chronic effects of carbamazepine on zebrafish: Behavioral, reproductive and biochemical endpoints

Carbamazepine induces the follicular development in zebrafish (Danio rerio) female gonads.

Chronic exposure to carbamazepine affects feeding and biochemical markers in zebrafish.

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

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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

 

Mrs. Hsin-Yi Huang | Epidemiology Awards | Best Researcher Award

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Mrs. Hsin-Yi Huang | Epidemiology Awards | Best Researcher Award

Mrs. Hsin-Yi Huang, National Yang Ming Chiao Tung University, Taipei, Taiwan

Hsin-Yi Huang is a dedicated researcher from Taiwan, currently pursuing a Ph.D. in Environmental and Occupational Health Sciences at National Yang Ming Chiao Tung University. Previously, she worked as a researcher in the Division of Allergy, Asthma, and Rheumatology at Linkou Chang Gung Memorial Hospital from August 2018 to July 2023. Hsin-Yi’s research interests focus on pediatric health, particularly the impact of environmental factors on allergic diseases and respiratory health in children. She has authored numerous articles in prestigious journals, including studies on the association between prenatal exposure to air pollution and childhood eczema, as well as the effects of maternal folic acid supplementation on childhood obesity. Hsin-Yi’s contributions to the field are recognized through her participation in various international conferences and her commitment to advancing knowledge in environmental health and its implications for pediatric populations. Her work aims to inform public health strategies and improve

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Hsin-Yi Huang is a promising researcher currently pursuing a Ph.D. in Environmental and Occupational Health Sciences at National Yang Ming Chiao Tung University, Taiwan. With a strong academic background and significant research experience, Huang has demonstrated a commitment to advancing knowledge in allergy, asthma, and environmental health.

Education 🎓

  • PhD Student
    National Yang Ming Chiao Tung University, Taipei, Taiwan
    August 2023 – Present
    Institute of Environmental and Occupational Health Sciences
  • Master of Science
    Chang Gung University, Taoyuan City, Taiwan
    September 2016 – July 2018
    Graduate Institute of Clinical Medical Sciences, College of Medicine

Work Experience 🏥

  • Junior Researcher
    Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan
    August 2018 – July 2023

    • Division of Allergy, Asthma, and Rheumatology, Department of Pediatrics
    • Conducted research on allergy, asthma, and rheumatology.

Achievements 🏆

  • Published Research Articles:
    Authored several articles in reputable journals, including:

    • International Journal of Molecular Sciences (2025) – Early Anti-Drug Antibodies Predict Adalimumab Response in Juvenile Idiopathic Arthritis
    • Ecotoxicology and Environmental Safety (2024) – Differential effects of long- and short-term exposure to PM2.5 on accelerating telomere shortening
    • Obesity (2024) – Maternal folic acid supplementation during pregnancy in association with childhood overweight or obesity
    • Annals of Allergy, Asthma & Immunology (2024) – Physician adherence to anaphylaxis guidelines among different age groups in emergency departments

Awards and Honors 🥇

  • Best Paper Awards: Recognized for contributions to allergy and environmental health research in multiple conferences.
  • Research Presentation Recognition: Presented at various international conferences, contributing to advancements in understanding allergic diseases and environmental impacts on health.

Publication Top Notes:

Early Anti-Drug Antibodies Predict Adalimumab Response in Juvenile Idiopathic Arthritis

Differential effects of long- and short-term exposure to PM2.5 on accelerating telomere shortening: from in vitro to epidemiological studies

Maternal folic acid supplementation during pregnancy in association with childhood overweight or obesity

Physician adherence to anaphylaxis guidelines among different age groups in emergency departments: 20-Year observational study

Association of exposure to environmental vanadium and manganese with lung function among young children: A population-based study

Association of advanced paternal age with lung function at school age

 

 

Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

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Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

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.

Professional Profile:

ORCID

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.

Publication top Notes:

Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy

Comparison of CNN-Based Architectures for Detection of Different Object Classes

Comparison of CNN-Based Architectures for Detection of Different Object Classe

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition

Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation

Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award

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Prof. Shing-Hong Liu | Biomedical Award | Best Researcher Award 

Prof. Shing-Hong Liu, Chaoyang University of Technology, Taiwan

Shing-Hong Liu is an esteemed academic and researcher in the field of biomedical engineering and computer science. He obtained his B.S. degree in Electronic Engineering from Feng-Jia University, Taiwan, in 1990, followed by an M.S. degree in Biomedical Engineering from National Cheng-Kung University in 1992. In 2002, he earned his Ph.D. from the Department of Electrical and Control Engineering at National Chiao-Tung University, Taiwan. Since August 1994, Dr. Liu has been actively involved in academia, initially as a Lecturer in the Department of Biomedical Engineering at Yuanpei University, Taiwan. He progressed to become an Associate Professor from 2002 to 2008. Currently, he holds the position of Distinguished Professor in the Department of Computer Science and Information Engineering at Chaoyang University of Technology. Dr. Liu’s research focuses on biomedical signal processing, artificial intelligence applications in mobile health (mHealth), and the design of biomedical instruments. He has been recognized for his contributions, being named one of the World’s Top 2% Scientists in 2020. His research projects have received substantial funding, totaling NT$36,329,914, and he has authored 59 papers in SCI journals.

 

Professional Profile:

ORCID

 

Education:

  • B.S. in Electronic Engineering
    • Feng-Jia University, Taizhong, Taiwan, R.O.C.
    • Year of Completion: 1990
  • M.S. in Biomedical Engineering
    • National Cheng-Kung University, Tainan, Taiwan, R.O.C.
    • Year of Completion: 1992
  • Ph.D. in Electrical and Control Engineering
    • National Chiao-Tung University, Hsinchu, Taiwan, R.O.C.
    • Year of Completion: 2002

Work Experience:

  • Lecturer
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • August 1994 – 2002
  • Associate Professor
    • Department of Biomedical Engineering, Yuanpei University, Hsinchu, Taiwan, R.O.C.
    • 2002 – 2008
  • Distinguished Professor
    • Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taiwan, R.O.C.
    • 2020 – Present

Achievements:

Shing-Hong Liu has been recognized as one of the World’s Top 2% Scientists in 2020. His research interests focus on biomedical signal processing, artificial intelligence for mHealth applications, and the design of biomedical instruments. He has successfully led projects with a total budget of NT 36,329,914 and has published 59 papers in SCI journals.

Publication top Notes:

Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data

Estimation of Gait Parameters for Adults with Surface Electromyogram Based on Machine Learning Models

A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing

A Wearable Assistant Device for Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing