Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

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

Prof. Alina Nechyporenko | Healthcare Awards | Best Researcher Award

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

Dr. Amr Khalifa | Intervention Award | Best Researcher Award

Dr. Amr Khalifa | Intervention Award | Best Researcher Award

Dr. Amr Khalifa, University of Genoa/Department of Internal Medicine and Medical Specialties (DIMI), Italy

Dr. Amr Khalifa is a dedicated Postdoctoral Research Fellow at the University of Genoa’s Department of Internal Medicine and Medical Specialties, working in Prof. Alessio Nencioni’s lab. He completed his Ph.D. in Hemato-oncology and Clinical-Translational Internal Medicine at the same institution in 2022, following a Master’s in Biotechnology from Alexandria University and a Bachelor’s in Pharmacy from Pharos University. With a decade of professional experience, Dr. Khalifa has contributed to the field through his roles as an Assistant Lecturer, Community Pharmacist, and active researcher. His technical skills include advanced analytical methods, scientific writing, and effective communication of research findings. He has presented his work at major conferences and completed various specialized courses. Dr. Khalifa’s achievements include prestigious fellowships, notable awards, and significant roles in grant preparations. His engagement extends to several professional societies and community service through charity organizations.

Professional Profile:

ORCID

 

Education & Research Experience

📚 Ph.D. in Hemato-Oncology (University of Genoa, Italy)
📚 M.Sc. in Biotechnology (Alexandria University, Egypt)
📚 BPharm (Pharos University in Alexandria, Egypt)

Dr. Khalifa has extensive experience in biotechnology and pharmacy, with a keen interest in cancer research. His doctoral research explored innovative approaches in cancer treatment, particularly the synergistic antitumor activities of periodic fasting and cholesterol biosynthesis inhibitors in gastrointestinal cancers. 🧪

Professional Experience

👨‍🏫 Assistant Lecturer at Pharos University, Alexandria, Egypt
💊 Community Pharmacist at the Egyptian Ministry of Health, Alexandria, Egypt
🔬 Postdoctoral Research Fellow at University of Genoa, Italy

Technical Skills & Competencies

Dr. Khalifa is proficient in analytical thinking, scientific communication, statistical analysis, and grant writing. He is adept at evaluating scientific literature, proposing future research steps, and presenting results effectively. 📊📝

Conferences & Courses

Dr. Khalifa has presented his research at several prestigious conferences, including multiple presentations at the AACR Annual Meetings. He has also completed various specialized courses, enhancing his expertise in research and fundraising. 🗣️🎓

Awards & Grants

🏅 Post-doctoral fellowship at the University of Genoa
🏅 Ph.D. Fellowship at the University of Genoa
🏅 Dean’s honors at Pharos University in Alexandria
💰 Key contributor to the prestigious MY FIRST AIRC GRANT 2021

Publication top Notes:

 

Advances in Diet and Physical Activity in Breast Cancer Prevention and Treatment

Author Correction: Cyclic fasting bolsters cholesterol biosynthesis inhibitors’ anticancer activity

Cyclic fasting bolsters cholesterol biosynthesis inhibitors’ anticancer activity

Identification of NAPRT Inhibitors with Anti-Cancer Properties by In Silico Drug Discovery

Identification of new FK866 analogues with potent anticancer activity against pancreatic cancer.

Safety and Feasibility of Fasting-Mimicking Diet and Effects on Nutritional Status and Circulating Metabolic and Inflammatory Factors in Cancer Patients Undergoing Active Treatment