Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Assoc Prof Dr. Nianzhang Zhang | Optimization Techniques | Best Researcher Award

Lanzhou Veterinary Research Institute, China

Author Profiles

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Research Gate

Early Academic Pursuits 🎓

Dr. Nianzhang Zhang’s academic journey began with a BSc in Veterinary Science from Qingdao Agricultural University (2004-2008), followed by an MVSc (2008-2011) and PhD (2011-2014) from the Chinese Academy of Agricultural Sciences (CAAS). His studies laid a strong foundation for his expertise in preventive veterinary science, molecular biology, and immunology, particularly in zoonotic parasitic diseases.

Professional Endeavors 🏢

 Dr. Zhang has been a key member of the Lanzhou Veterinary Research Institute (LVRI) at the Chinese Academy of Agricultural Sciences. He began as an Assistant Professor, advancing to Associate Professor in 2018. Dr. Zhang’s roles at the institute also include serving as the Deputy Director of the Science and Technology Management Office since November 2022, overseeing research initiatives and contributing to the development of new scientific strategies.

Contributions and Research Focus 🔬

Dr. Zhang’s research is focused on the molecular biology and immunology of zoonotic parasitic diseases, such as toxoplasmosis, trichinellosis, and echinococcosis. His work explores the parasite-host interactions, co-infections with parasites and viruses, and functional omics, particularly related to Toxoplasma gondii and Trichinella spiralis. Additionally, he has contributed to the epidemiology of these diseases and the development of diagnostic reagents and vaccines, marking significant progress in veterinary medicine.

Impact and Influence 🌍

Dr. Zhang’s research has significantly influenced the field of preventive veterinary science, particularly in the fight against zoonotic parasitic diseases. His contributions have not only advanced scientific understanding but also improved diagnostic and preventive strategies, benefiting both animal health and public safety. His work continues to be pivotal in shaping veterinary practices related to parasitic infections.

Academic Cites đź“š

Dr. Zhang’s work has been widely cited in academic journals, reflecting his influence in the fields of veterinary science, molecular biology, and immunology. His research on Toxoplasma gondii and Trichinella spiralis has garnered attention globally, contributing to the development of new approaches for tackling parasitic diseases.

Technical Skills ⚙️

a robust foundation in molecular biology and immunology, Dr. Zhang possesses advanced technical skills in the fields of parasite genetics, parasite-virus interactions, and functional omics. His expertise includes advanced laboratory techniques in molecular diagnostics, the development of diagnostic reagents, and the creation of vaccines for parasitic diseases.

Teaching Experience 🧑‍🏫

As an educator, Dr. Zhang has imparted his knowledge and expertise to undergraduate and graduate students at Lanzhou Veterinary Research Institute. His role as an Assistant and Associate Professor has allowed him to mentor future researchers and veterinarians, contributing to the growth of the academic community in veterinary science and parasitology.

Legacy and Future Contributions 🌱

Dr. Zhang’s legacy is defined by his pioneering research in the molecular biology of zoonotic parasitic diseases, his efforts in the development of vaccines and diagnostic tools, and his ongoing contribution to the field of veterinary science. Moving forward, Dr. Zhang aims to further explore the complexities of parasite-host interactions and to develop more effective strategies for combating parasitic diseases, cementing his role as a leader in global veterinary health.

Top Noted Publications đź“–

The transcription factor AP2XI-2 is a key negative regulator of Toxoplasma gondii merogony
  • Authors: Wang, J.-L., Li, T.-T., Zhang, N.-Z., Elsheikha, H.M., Zhu, X.-Q.
    Journal: Nature Communications
    Year: 2024
Global profiling of protein S-palmitoylation in the second-generation merozoites of Eimeria tenella
  • Authors: Qu, Z., Li, Y., Li, W., Mi, X., Fu, B.
    Journal: Parasitology Research
    Year: 2024
Occurrence of Trichinella spiralis in farmed wild boars (Sus scrofa): An underrated risk in China
  • Authors: Zhang, N.-Z., Wang, M., Chen, W.-G., Thuy, N.T.B., Fu, B.-Q.
    Journal: Parasitology
    Year: 2024
Infection of sheep by Echinococcus multilocularis in Gansu, China: evidence from mitochondrial and nuclear DNA analysis
  • Authors: Shumuye, N.A., Li, L., Li, W.-H., Yan, H.-B., Jia, W.-Z.
    Journal: Infectious Diseases of Poverty
    Year: 2023
A Strainer-Based Platform for the Collection and Immunolabeling of Porcine Epidemic Diarrhea Virus-Infected Porcine Intestinal Organoid
  • Authors: Liu, Y., Tan, J., Zhang, N., Li, W., Fu, B.
    Journal: International Journal of Molecular Sciences
    Year: 2023

Kuo-Ching Ying | Metaheuristics | Best Researcher Award

Prof Dr. Kuo-Ching Ying | Metaheuristics | Best Researcher Award

National Taipei University of Technology, Taiwan

Author Profiles

orcid

Scopus

👨‍🏫 Current Position and Leadership Roles

Prof. Dr. Kuo-Ching Ying is currently a Distinguished Professor in the Department of Industrial Engineering and Management at National Taipei University of Technology, Taiwan. In addition to his role as a faculty member, he also serves as the Associate Dean of the College of Management and Vice Director of the EMBA Program at the university. His leadership positions reflect his deep commitment to advancing education and research in the fields of industrial engineering and management.

🎓 Early Academic Pursuits and Education

Prof. Ying’s academic journey began with a Master’s degree in Industrial Management from the National Taiwan University of Science and Technology in 1992. His academic pursuits culminated in a Ph.D. in Industrial Management from the same institution in 2003. His educational background provided the foundation for his current expertise in operations scheduling, combinatorial optimization, and various aspects of industrial management.

đź’Ľ Professional Endeavors and Editorial Contributions

Prof. Ying has significantly contributed to the academic community as an editor for several prestigious journals. He has been serving as an editor for Advances in Industrial Engineering and Management since December 2012 and has held editorial roles for other journals like IEEE Access (since 2018), Applied Sciences (since 2021), and American Journal of Operations Management and Information Systems (since 2020). His editorial work spans across more than 10 journals, underscoring his significant involvement in shaping the direction of research in industrial management and optimization fields.

🔬 Contributions and Research Focus

Prof. Ying’s primary research interests revolve around operations scheduling, combinatorial optimization, and industrial management. He has authored more than 130 academic papers in top-tier international journals such as IEEE Access, Computers and Operations Research, Applied Soft Computing, and European Journal of Operational Research. His research delves into innovative approaches to solving complex problems in industrial settings, particularly in operations management, manufacturing, and logistics.

🌍 Impact and Influence in Academia

Through his extensive research contributions and editorial roles, Prof. Ying has become a recognized figure in the fields of industrial engineering and management. His work has been cited numerous times in academic research, demonstrating his influence in advancing knowledge in operations scheduling and combinatorial optimization. His efforts have led to advancements in how industries manage production, operations, and logistics.

đź“š Academic Citations and Recognition

Prof. Ying’s scholarly output has earned him wide recognition within the academic community. His work has been cited extensively across numerous journals, reflecting the importance and impact of his research. The high citation rate of his publications is a testament to the relevance and applicability of his work in both academic and industrial contexts. He is widely regarded as a thought leader in industrial management research.

đź’ˇ Technical Skills and Expertise

Prof. Ying possesses strong technical skills in areas such as operations research, optimization algorithms, and industrial management. He is particularly skilled in developing models and techniques for solving complex optimization problems related to manufacturing, logistics, and scheduling. His expertise in artificial intelligence and computational techniques further enhances his ability to contribute to cutting-edge research in these fields.

👩‍🏫 Teaching Experience and Mentorship

Prof. Ying has been a mentor to numerous students in the Department of Industrial Engineering and Management at National Taipei University of Technology. As an educator, he has significantly shaped the careers of many professionals in industrial management. His teaching philosophy emphasizes the application of theory to real-world problems, preparing students to tackle challenges in operations management and optimization. His experience in teaching and mentoring plays a key role in nurturing the next generation of scholars and industry leaders.

🌱 Legacy and Future Contributions

Prof. Ying’s legacy is already well established through his substantial academic achievements, his leadership in educational programs, and his continued contributions to the field. Looking ahead, he is likely to continue shaping the future of industrial engineering research, particularly in optimizing industrial processes and the integration of new technologies. His future contributions will likely focus on further advancing operations research, combinatorial optimization, and artificial intelligence applications in industrial contexts.

📖 Top Noted Publications 

Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng
    Journal: Intelligent Systems with Applications
    Year: 2024
Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
  • Authors: Kuo-Ching Ying, Shih-Wei Lin
    Journal: Applied Soft Computing
    Year: 2023
Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups
  • Authors: Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying, Nguyen Hoai Nam
    Journal: Annals of Operations Research
    Year: 2023
Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
    Journal: International Journal of Production Research
    Year: 2023
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
  • Authors: Kuo-Ching Ying, Fruggiero, F., Pourhejazy, P., Lee, B.-Y.
    Journal: Expert Systems with Applications
    Year: 2022