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

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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

Scopus

Google Scholar

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

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

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Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan

Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

  • 📍 B.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1982

  • 📍 M.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1986

  • 🌎 Ph.D. in Electrical and Computer Engineering
    University of Arizona, Tucson, USA – 1993

💼 Work Experience

  • 👨‍🏫 Distinguished Professor
    Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
    – Current

🌟 Key Achievements

  • 🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)

  • 🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems

  • 🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges

  • 📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

  • 🥇 Recognized as a Distinguished Professor at NYUST

  • 🏆 Multiple accolades and recognitions for industry collaboration and academic excellence

  • 🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Dr. Peng Zhi | Deep Learning | Best Researcher Award

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Dr. Peng Zhi | Deep Learning | Best Researcher Award 

Dr. Peng Zhi, Lanzhou University, China

Peng Zhi is a Ph.D. candidate in Computer Science at Lanzhou University, China, specializing in computer vision, deep learning, and autonomous driving. He earned his Bachelor’s and Master’s degrees in Computer Science and Technology from Lanzhou University in 2017 and 2020, respectively. His research focuses on LiDAR-camera fusion, 3D object detection, and AI applications in intelligent transportation systems. He has published several high-impact papers in renowned journals and conferences, contributing to advancements in autonomous vehicle perception and artificial intelligence. Additionally, he has co-authored the book Theories and Practices of Self-Driving Vehicles, further solidifying his expertise in the field.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Peng Zhi is a strong candidate for the Best Researcher Award, given his innovative contributions to computer vision, deep learning, and autonomous driving. As a Ph.D. candidate at Lanzhou University, he has been actively involved in research that enhances LiDAR-based 3D object detection, cross-domain generalization, and deep learning applications in autonomous systems.

🎓 Education

  • Ph.D. in Computer Application Technology (2021 – Present)
    Lanzhou University, Lanzhou, China
  • Master’s in Computer System Architecture (2017 – 2020)
    Lanzhou University, Lanzhou, China
  • Bachelor’s in Computer Science and Technology (2013 – 2017)
    Lanzhou University, Lanzhou, China

💼 Work Experience

  • Ph.D. Candidate & Researcher (2021 – Present)
    Lanzhou University, Lanzhou, China

    • Conducts advanced research in computer vision, deep learning, and autonomous driving
    • Publishes in top-tier journals and conferences
    • Develops LiDAR and camera fusion models for 3D object detection

🏆 Achievements & Contributions

  • Published Multiple Research Papers 📄 in top journals and conferences, including Tsinghua Science and Technology, Electronic Research Archive, and IEEE ITSC
  • Author of a Book on Self-Driving Vehicles 📘 Theories and Practices of Self-Driving Vehicles (Elsevier, 2022)
  • Developed DefDeN Model 🤖 A deformable denoising-based LiDAR and camera feature fusion model for 3D object detection
  • Research on Autonomous Driving 🚗 Focused on boundary distribution estimation and cross-domain generalization for LiDAR-based 3D object detection

🏅 Awards & Honors

  • Best Paper Award 🏆 at an International Conference on Intelligent Transportation Systems (ITSC)
  • Outstanding Researcher Award 🎖️ at Lanzhou University for contributions to AI and autonomous driving
  • National Scholarship 🏅 for academic excellence in computer science and AI research

Publication Top Notes:

Cross-Domain Generalization for LiDAR-Based 3D Object Detection in Infrastructure and Vehicle Environments