Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Assoc. Prof. Dr. Huseyin Erdal | Automation | Aksaray University | Turkey

Hüseyin Erdal, Ph.D., is an Associate Professor in the Department of Medical Genetics at the Faculty of Medicine, Aksaray University, with a specialization in molecular biochemistry, genetics, and biomedical research. He earned his Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University in 2019, focusing on thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and hemodialysis patients. In addition, he holds two bachelor’s degrees: one in Chemistry and another in Economics from Anadolu University, complementing his interdisciplinary expertise. Professor Erdal began his academic career as a Research Assistant at Mustafa Kemal University, conducting studies in analytical chemistry and molecular sciences, before joining Aksaray University as an Assistant Professor and later being promoted to Associate Professor in 2023. His professional work spans molecular biochemistry, genetics, biomaterials, and therapeutic applications, emphasizing translational research that bridges fundamental molecular mechanisms with clinical implementation.

Professional Profile

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Suitability Summary 

Prof. Hüseyin Erdal is a distinguished scientist whose exceptional contributions in molecular biochemistry, genetics, and biomedical research make him highly suitable for the Best Researcher Award. With a Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University (2019), his work has focused on critical areas such as dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease, demonstrating a strong commitment to understanding and addressing complex molecular mechanisms relevant to human health.

Education

  • Ph.D. in Molecular Biochemistry and Genetics, Hatay Mustafa Kemal University, 2019
    Thesis: “Dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and thiol balance in hemodialysis”

  • Research experience at University of Florida, 2013

  • Bachelor’s Degree in Chemistry, Anadolu University (Open Education), 2017

  • Bachelor’s Degree in Economics, Anadolu University (Open Education), 2017

Work Experience

  • Associate Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, August 2023 – Present

  • Assistant Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, 2020 – 2023

  • Research Assistant, Department of Chemistry, Mustafa Kemal University, 2014 – 2020

Achievements

  • Supervised graduate research projects, including innovative studies on collagen-based composite films for wound healing

  • Conducted research in molecular biochemistry, genetics, biomaterials, and therapeutic applications

  • Expertise in laboratory methodologies, enzymology, biochemical assays, and translational research bridging molecular insights with clinical applications

Awards and Honors

  • Recognized for contributions to biomedical research and translational science through awards and academic distinctions

Publication Top Notes

  • Title: Oxidative stress and its impacts on intracellular lipids, proteins and DNA
    Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
    Year: 2015
    Citations: 158

  • Title: Oxidative stress and its effects on intracellular lipid, protein and DNA structures
    Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
    Year: 2015
    Citations: 122

  • Title: Cancer cell sensing and therapy using affinity tag-conjugated gold nanorods
    Authors: E. Yasun, H. Kang, H. Erdal, S. Cansiz, I. Ocsoy, Y.F. Huang, W. Tan
    Year: 2013
    Citations: 67

  • Title: The Effect of Pneumatic Tube Systems on the Hemolysis of Biochemistry Blood Samples
    Authors: G. Çakırca, H. Erdal
    Year: 2017
    Citations: 41

  • Title: Biomedical applications of polyglycolic acid (PGA)
    Authors: E. Göktürk, H. Erdal
    Year: 2017
    Citations: 32

  • Title: Plasma ischemia-modified albumin levels and dynamic thiol/disulfide balance in sickle cell disease: a case-control study
    Authors: O. Özcan, H. Erdal, G. İlhan, D. Demir, A.B. Gürpınar, S. Neşelioğlu, Ö. Erel
    Year: 2018
    Citations: 28

  • Title: Evaluation of thiol-disulfide balance in adolescents with vitamin B12 deficiency
    Authors: M.S. Demirtaş, H. Erdal
    Year: 2023
    Citations: 19

  • Title: Thiol/disulfide Homeostasis as a New Oxidative Stress Marker in Patients with Fabry Disease
    Authors: H. Erdal, F. Turgut
    Year: 2023
    Citations: 18

Dr. Nan Liu | Intelligent Manufacturing Awards | Best Researcher Award

Dr. Nan Liu | Intelligent Manufacturing Awards | Best Researcher Award 

Dr. Nan Liu, Hefei University of Technology, China

Dr. Nan Liu is a dedicated researcher and faculty member at Hefei University of Technology, specializing in intelligent manufacturing with a focus on optimizing gear production through AI-driven algorithms. His work aims to enhance processing quality, reduce costs, and advance smart manufacturing technologies. He has led research funded by the National Natural Science Foundation of China (Project No. U22B2084) and authored high-impact publications, including a notable SCI-indexed article on spiral bevel gear grinding force prediction using generalized regression neural networks. Dr. Liu’s contributions lie at the intersection of mechanical engineering and artificial intelligence, positioning him as a rising expert in the field of advanced manufacturing systems.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Nan Liu

Dr. Nan Liu demonstrates strong potential and emerging excellence in the domain of intelligent manufacturing, particularly through the integration of artificial intelligence in gear processing. His current research under the National Natural Science Foundation of China (Project No. U22B2084) exemplifies his capability to address complex engineering problems using AI-driven methodologies.

🎓 Education & Qualifications

  • Ph.D. in Mechanical or Manufacturing-related field (inferred from expertise, institution not specified)

  • Expert in Artificial Intelligence Applications in gear manufacturing and intelligent systems

💼 Work Experience

  • Assistant Professor, Hefei University of Technology

  • Specializes in applying AI algorithms to optimize gear manufacturing processes

  • Focused on improving grinding force prediction, processing quality, and reducing production costs

🏆 Achievements

  • 🔬 Research Grant from National Natural Science Foundation of China (Project No. U22B2084)

  • 📄 Published a high-impact journal article in Engineering Applications of Artificial Intelligence (Elsevier, 2025)

  • 🧠 Developed a Generalized Regression Neural Network model for spiral bevel gear force prediction

  • 🛠️ Contributed to advancing intelligent manufacturing technologies

🥇 Award & Honors

  • 🏅 Award Category Preference: Best Research Scholar Award

  • 📌 Recognized for bridging AI techniques with precision gear manufacturing

Publication Top Notes:

Research on grinding force prediction of spiral bevel gear based on generalized regression neural network and undeformed grinding chips

Research on a nonlinear quasi-zero stiffness vibration isolator with a vibration absorber