Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

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Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

Prof. Syafruddin Side, Makassar State University, Indonesia.

Prof. Dr. Syafruddin Side is a distinguished mathematician specializing in mathematical modeling, dynamical systems, and differential equations. He is a faculty member in the Department of Mathematics at the Faculty of Mathematics and Science, Universitas Negeri Makassar, Indonesia. He earned his Bachelor’s degree in Applied Mathematics from Hasanuddin University (1991-1996), followed by a Master’s degree in Analysis and Applied Mathematics from Bandung Institute of Technology (2000-2003), and a Ph.D. in Applied Mathematics from the National University of Malaysia (2009-2013). His doctoral research focused on mathematical modeling of the spread of dengue viruses in Indonesia and Malaysia. With an h-index of 18 on Google Scholar and 13 on Scopus, he has made significant contributions to his field through numerous publications. His research interests lie in solving complex mathematical problems using analytical and computational techniques.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Based on Prof. Dr. Syafruddin Side’s research profile, he appears to be a strong candidate for the Best Researcher Award, given his expertise and contributions in applied mathematics, particularly in mathematical modelling, dynamical systems, and differential equations. Below is a detailed evaluation of his suitability for the award.

🎓 Education Background

  • S-1 (Bachelor’s Degree) – 📍 Hasanuddin University (1991-1996)

    • Field: Applied Mathematics
    • Thesis: Solution of Poisson Equation with Boundary Element Method
    • Supervisor: Dr. Jeffry Kusuma

  • S-2 (Master’s Degree) – 📍 Bandung Institute of Technology (2000-2003)

    • Field: Analysis and Applied Mathematics
    • Thesis: Analytical Perturbation for General Characteristics Value Semi-Simple
    • Supervisor: Prof. Dr. Wono Setya Budi

  • S-3 (Doctoral Degree, Ph.D.) – 📍 National University Malaysia (2009-2013)

    • Field: Applied Mathematics
    • Thesis: SIR and SEIR Mathematical Models for the Spread of Dengue Viruses in South Sulawesi, Indonesia, and Selangor, Malaysia
    • Supervisor: Prof. Dr. Mohd. Salmi Md. Noorani

👨‍🏫 Work Experience

  • Professor at the Department of Mathematics, Faculty of Mathematics and Science, Universitas Negeri Makassar (UNM) 📍🇮🇩
  • Researcher in Mathematical Modeling, Dynamical Systems, and Differential Equations
  • Mentor & Supervisor for Master’s and Ph.D. Students 🎓✍️

🏆 Achievements, Awards & Honors

  • H-index: 📊
    • Google Scholar: 18
    • Scopus: 13
  • Published in Renowned Journals 📚
  • Invited Speaker at International Conferences 🎤🌍
  • Recognized for Contributions to Mathematical Modeling in Epidemiology 🦠📈
  • Contributor to National and International Research Projects 🔬💡

Publication Top Notes:

Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia

CITED:490

A SIR model for spread of dengue fever disease (simulation for South Sulawesi, Indonesia and Selangor, Malaysia)

CITED:172

SEIR model for transmission of dengue fever in Selangor Malaysia

CITED:102
CITED:98
CITED:69

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. 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