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

Assoc. Prof. Dr. Haining Xiao | Intelligent Manufacturing | Best Researcher Award

Assoc. Prof. Dr. Haining Xiao | Intelligent Manufacturing | Best Researcher Award 

Assoc. Prof. Dr. Haining Xiao | Yancheng Institute of Technology | China

Xiao Haining is a dedicated scholar in the field of mechanical and intelligent manufacturing systems, recognized for his strong contributions to multi-robot system optimization and control. He currently serves as an Associate Professor in the Department of Intelligent Manufacturing at Yancheng Institute of Technology, where he leads academic and research initiatives that intersect mechanical engineering and intelligent automation. With a career marked by consistent academic progression, Dr. Xiao has developed a professional identity centered on applied robotics, collaborative automation, and advanced control strategies in intelligent manufacturing environments. His deep-rooted commitment to interdisciplinary integration has helped in shaping emerging technological landscapes and advancing automation practices in industrial settings.

Professional Profile:

ORCID

Summary of Suitability

Dr. Xiao Haining is a highly qualified and dedicated researcher in the field of mechanical engineering, with a focused specialization in the optimization and control of multi-robot systems. His academic background and professional trajectory demonstrate a consistent commitment to advancing intelligent manufacturing technologies.

Education

Xiao Haining began his academic journey by earning a Bachelor of Engineering degree in Mechanical Engineering from Yancheng Institute of Technology. His pursuit of deeper technical knowledge and research excellence led him to complete a Doctorate in Mechanical Engineering at Nanjing University of Aeronautics and Astronautics. During his doctoral training, he developed a strong foundation in automation theory, system dynamics, and mechanical design optimization, which would become central to his later research efforts. His education equipped him with both theoretical insights and practical tools essential for solving complex industrial automation challenges, forming the basis for his innovative contributions to multi-robot coordination and control.

Professional Experience

Currently positioned as an Associate Professor at Yancheng Institute of Technology, Dr. Xiao has spent several years in academia where he has blended teaching, mentoring, and research leadership. His role involves the supervision of graduate projects, collaborative research with industry, and active participation in the development of intelligent manufacturing curricula. In his academic career, he has contributed to several collaborative projects in mechanical automation, focusing particularly on multi-robot system configurations and adaptive control techniques. His professional trajectory reflects a balanced commitment to pedagogy and research, with an emphasis on bringing laboratory innovation to industrial applications.

Research Interest

Dr. Xiao’s primary research interest lies in the optimization and control of multi-robot systems within intelligent manufacturing frameworks. His work addresses the growing demand for efficient robotic collaboration, path planning, and task allocation in automated production lines. He investigates control algorithms, coordination protocols, and optimization models that enhance the performance and reliability of robot collectives operating in dynamic environments. His approach is multidisciplinary, integrating elements of control theory, machine learning, and mechanical system design. This focus positions his work at the intersection of robotics, artificial intelligence, and industrial automation, contributing to the development of smarter and more adaptable manufacturing processes.

Awards

Throughout his academic career, Dr. Xiao has received multiple recognitions for excellence in research and teaching. He has been honored with institutional awards for outstanding faculty performance, and his contributions to collaborative robotics have been acknowledged in provincial-level innovation competitions. His leadership in robotics research has also been highlighted through invitations to speak at national technical forums and his role in funded research projects aimed at advancing smart manufacturing practices.

Publication Top Notes

Task Travel Time Prediction Method Based on IMA-SURBF for Task Dispatching of Heterogeneous AGV System

Conclusion

Dr. Xiao Haining exemplifies academic excellence and innovation in the field of intelligent manufacturing and robotics. His balanced contribution to research, teaching, and technological development marks him as a significant figure in advancing multi-robot systems and control strategies. With a solid educational background, strong publication record, and recognized awards, he continues to drive impactful research that addresses practical challenges in automated manufacturing systems. His career demonstrates a sustained commitment to improving robotic collaboration and adaptability in complex environments, making him a deserving candidate for distinguished academic recognition.