Dr. Mohammed Echarif AGUIDA | Electrical engineering | Best Innovation Award| 3429

Prof. Danping Huang | Strategic Leadership | Best Researcher Award

sichuan university of science and engineering, China

Tianjin university, China

Profile 

Scopus

Early Academic Pursuits 🎓

Danping Huang’s academic journey commenced with a Ph.D. from Sichuan University, laying the foundation for an illustrious career in machine vision and artificial intelligence. During his doctoral studies, he delved into advanced sensing and signal processing technologies, acquiring the expertise required to address complex challenges in automation and industrial detection. This rigorous academic background equipped him with a strong theoretical foundation and practical skills to pioneer research in high-speed online real-time measurement systems.

Professional Endeavors and Contributions 🛠️

As the Director of the High-Speed Machine Vision Team at Sichuan University of Science and Engineering, Dr. Huang has made significant strides in cutting-edge research and innovation. His work encompasses:

  • Machine Vision Systems: Developing state-of-the-art technologies for defect detection, real-time monitoring, and quality assurance in industrial applications.
  • Artificial Intelligence Integration: Innovating intelligent algorithms that enable machines to learn and adapt, optimizing performance in real-time.
  • Non-Destructive Testing (NDT): Pioneering advancements in NDT using machine vision to ensure product integrity and reduce waste in manufacturing processes.

Dr. Huang’s solutions have addressed practical production challenges for numerous enterprises, enhancing efficiency and gaining widespread industry recognition. With over 50 completed and ongoing research projects, his impact spans both academic and industrial domains.

Research Focus and Innovations 🔬

Dr. Huang’s research primarily focuses on:

  • High-Speed Online Measurement: Designing and implementing robust systems for rapid, precise, and automated inspections in dynamic industrial environments.
  • Deep Learning Applications: Developing deep learning algorithms to enhance the accuracy and speed of optical cable defect detection. His groundbreaking paper, “Online defect detection method of optical cable pitch based on machine vision technology and deep learning algorithms,” published in Optics and Laser Technology (2024), exemplifies this innovation.
  • Signal Processing and Automation: Enhancing sensing and detection technologies to revolutionize industrial operations.

Accolades and Recognition 🏆

Dr. Huang’s work has been widely acknowledged, earning accolades for his contributions to both academia and industry. He has published over 50 research articles in prestigious SCI and Scopus-indexed journals, and his work has become a cornerstone for innovation in machine vision. Beyond publications, he holds 20 patents—many of which address pivotal issues in automation and intelligent systems.

Additionally, his consultancy has impacted 20 major industry projects, where he worked closely with enterprises to tailor solutions that improve production processes and operational efficiencies. Notably, he has also been involved in the National Minimum Flow Measurement Project, underscoring his contributions to critical national initiatives.

Impact and Influence 🌟

Dr. Huang’s research has far-reaching implications, addressing both theoretical advancements and practical applications. His innovations in machine vision have not only improved production accuracy but also elevated the standards for quality control across multiple industries. His interdisciplinary approach bridges gaps between artificial intelligence, signal processing, and automation, paving the way for the next generation of intelligent manufacturing systems.

Through his work, he has mentored countless graduate students and researchers, fostering a new wave of talent in the fields of AI and machine vision. His collaborations with industries have translated academic research into tangible benefits, solidifying his position as a leader in applied technological innovation.

Legacy and Future Contributions 🌍

Looking ahead, Dr. Huang envisions a future where machine vision systems seamlessly integrate with AI to revolutionize industries globally. His ongoing research on high-speed real-time measurements aims to further enhance industrial efficiency, while his commitment to mentorship ensures the sustained growth of expertise in his field.

Dr. Huang’s legacy is defined by his relentless pursuit of excellence, impactful research, and unwavering dedication to solving real-world problems. As a trailblazer in high-speed machine vision and artificial intelligence, he continues to inspire innovation and drive meaningful progress in both academia and industry.

In summary, Danping Huang exemplifies how focused research, practical applications, and visionary leadership can collectively transform industries and inspire future generations. His contributions will undoubtedly leave a lasting imprint on the fields of machine vision and intelligent automation.

📝Notable Publications

Online defect detection method of optical cable pitch based on machine vision technology and deep learning algorithms

Authors: Gou, S.; Huang, D.; Liao, S.; Liu, L.; Wen, X.

Journal: Optics and Laser Technology

Year: 2024

Simulation of photon-generated carrier transport characteristics in CdSe quantum dot thin films

Authors: Zheng, F.; Zhu, H.; Huang, Y.; Wu, Y.; Liu, J.

Journal: International Journal of Modern Physics C

Year: 2023

Inversion prediction of COD in wastewater based on hyperspectral technology

Authors: Huang, D.; Tian, Y.; Yu, S.; Zhen, J.; Chen, X.

Journal: Journal of Cleaner Production

Year: 2023

Combination of Spectral and Spatial Information of Hyperspectral Imaging for the Prediction of the Moisture Content and Visualizing Distribution in Daqu

Authors: Sun, T.; Hu, X.; Tian, J.; Luo, H.; Huang, D.

Journal: Journal of the American Society of Brewing Chemists

Year: 2023

Optimization of Molding Process of Daqu’s Multi Position Press

Authors: Gao, J.; Tian, J.; Wang, K.; Huang, D.; Wu, X.

Journal: Science and Technology of Food Industry

Year: 2022

 

 

 

Mr.. Tonghe Zhu | Innovative Leadership | Young Scientist Award

Mr. Tonghe Zhu- Innovative Leadership -Young Scientist Award

Mr. Tonghe Zhu, Shanghai University of Engineering Science, China 

🔗 Professional Profiles

Summary

Dr. Tonghe Zhu is a renowned professor with extensive experience in biomaterials and tissue engineering. He specializes in the synthesis, fabrication, and characterization of bioactive materials for tissue regeneration, particularly using advanced manufacturing techniques like electrospinning and 3D printing.

Education 🎓

  • PhD in Biomaterials Science
    Donghua University, Shanghai, China
    2015.09-2018.09
  • ME in Textile Chemistry and Dyeing & Finishing Engineering
    Shanghai University of Engineering Science, Shanghai, China
    2012.09-2015.03
  • BS in Chemistry
    Hefei Normal University, Hefei, China
    2008.09-2012.07

Professional Experience 💼

  • Professor, Dean of Bio-additive Manufacturing Center
    Shanghai University of Engineering Science
    2023.12-present
  • Associate Professor, Dean of Bio-additive Manufacturing Center
    Shanghai University of Engineering Science
    2021.09-2023.12
  • Assistant Research Fellow
    Shanghai Jiao Tong University Affiliated Sixth People’s Hospital
    2021.03-2021.08
  • Postdoctoral Research Fellow
    Shanghai Jiao Tong University (Affiliated Sixth People’s Hospital)
    2019.01-2021.02

Research Interest 🔬

  • Bioactive Materials for Tissue Regeneration 🦠: Developing advanced materials to promote the healing of various tissues.
  • Synthetic Biomaterials 🧪: Creating innovative biomaterials for medical applications.
  • Electrospinning Nanofibers 🧵: Utilizing electrospinning technology to produce nanofibrous materials.
  • 3D Printing and Additive Manufacturing 🖨️: Leveraging 3D printing technologies to fabricate tissue engineering scaffolds.
  • Biodegradable Nanofibrous Materials ♻️: Designing materials for sustained delivery of active compounds in tissue regeneration.

Publication Top Noted

Fluffy Hybrid Nanoadjuvants for Reversing the Imbalance of Osteoclastic and Osteogenic Niches in Osteoporosis

    • Authors: Zhang, G., Kang, Y., Dong, J., … Wang, L., Yan, X.
    • Journal: Bioactive Materials
    • Volume: 39
    • Pages: 354-374
    • Year: 2024

Durable Immunomodulatory Hierarchical Patch for Rotator Cuff Repairing

    • Authors: Wang, L., Liu, Y., Lin, Z., … Zhang, Q., Zhao, J.
    • Journal: Bioactive Materials
    • Volume: 37
    • Pages: 477-492
    • Year: 2024

Biomimetic Design of Biomedical Scaffolds and Their Application in Tissue Engineering

    • Authors: Liang, C., Zhu, T., Zhu, Y., Li, R.
    • Journal: Chinese Journal of Tissue Engineering Research
    • Volume: 28
    • Issue: 15
    • Pages: 2416-2422
    • Year: 2024

Highly Bioadaptable Hybrid Conduits with Spatially Bidirectional Structure for Precision Nerve Fiber Regeneration via Gene Therapy

    • Authors: Zhao, R., Deng, X., Dong, J., … Zhu, T., Wang, G.
    • Journal: Advanced Science
    • Volume: 11
    • Issue: 19
    • Article Number: 2309306
    • Year: 2024

Self-Assembling Peptide Nanofibers Anchored Parathyroid Hormone Derivative for Bone Tissue Engineering

    • Authors: Hao, Z., Chen, T., Wang, Y., … Zhu, T., Li, J.
    • Journal: Advanced Fiber Materials
    • Volume: 6
    • Issue: 2
    • Pages: 583-606
    • Year: 2024

Prof Dr. Chi-Tai Yeh | Innovative Leadership | Excellence in Research | 2803

Prof Dr. Chi-Tai Yeh | Innovative Leadership | Excellence in Research

Prof Dr. Chi-Tai Yeh,Taipei Medical University-Shuang Ho Hospital,

 Professional Profile

Education 🎓

  • Post-Doctoral Fellow | Jan 2006 – Jan 2010
    National Institute of Cancer Research, Taiwan (R.O.C)
    National Health Research Institutes
  • Ph.D. in Food Science and Biotechnology | Aug 2001 – Aug 2005
    National Chung Hsing University, Taiwan (R.O.C)

Current Positions 📈

  • Professor | Apr 2021 – Present
    Continuing Education Program of Food Biotechnology Applications, College of Science and Engineering, National Taitung University, Taiwan (R.O.C)
  • Joint Appointment Research Fellow and Executive Secretary | Feb 2014 – Present
    Department of Research, Taipei Medical University – Shuang Ho Hospital, Taiwan (R.O.C)
  • Assistant Professor | Apr 2010 – Present
    Graduate Institute of Clinical Medicine, Taipei Medical University, Taiwan (R.O.C)

Professional Appointments and Experience 💼

  • Authored 91 articles in cancer and nutritional chemistry journals 📄
  • Contributed to 2 book chapters 📚
  • Secured 6 patents in cancer therapy compounds 🔬
  • Research Focus:
    • Cancer cell biology
    • Cancer stem cell studies
    • Nutrigenomics
    • Cancer prevention using dietary phytochemicals 🍎
  • Key Objectives:
    • Disrupt tumor growth and survival pathways
    • Enhance chemosensitivity and/or radiosensitivity
    • Develop methods to counter tumor metastasis
    • Test therapeutic interventions with tumor metastasis suppressor genes in preclinical trials
    • Employ high-throughput proteomic analysis to discover new tumor metastasis markers and evaluate therapeutic approaches

Notable Achievements 🏆

  • 5292 Citations 📈
  • h-Index: 42 🎖️
  • Developed new methods to counter tumor metastasis and enhance treatment efficacy in cancer therapy

Publication Top Noted:

  • Paper Title: PAICS/DYRK3 Multienzyme Interactions as Coregulators of Purinosome Formation and Metabolism on Radioresistance in Oral Squamous Cell Carcinoma
  • Paper Title: Tumor-Associated Macrophages Affect the Tumor Microenvironment and Radioresistance via the Upregulation of CXCL6/CXCR2 in Hepatocellular Carcinoma
  • Paper Title:  Furanocoumarin Notopterol: Inhibition of Hepatocellular Carcinogenesis through Suppression of Cancer Stemness Signaling and Induction of Oxidative Stress-Associated Cell Death
  • Paper Title: Correction: Chen et al. Hydroxychloroquine (HCQ) Modulates Autophagy and Oxidative DNA Damage Stress in Hepatocellular Carcinoma to Overcome Sorafenib Resistance via TLR9/SOD1/hsa-miR-30a-5p/Beclin-1 Axis. Cancers 2021, 13, 3227
  • Paper Title: Cancer-Associated Exosomal CBFB Facilitates the Aggressive Phenotype, Evasion of Oxidative Stress, and Preferential Predisposition to Bone Prometastatic Factor of Breast Cancer Progression