TRAN THI BICH CHAU VO | Industrial Engineering and Management | Excellence in Innovation

Ms . TRAN THI BICH CHAU VO | Industrial Engineering and Management | Excellence in Innovation 

PhD Candidate , National Kaohsiung University of Science and Technology , Taiwan

Tran Thi Bich Chau VO is a dedicated academic and researcher in Industrial Engineering and Management. Currently a lecturer at Can Tho University, she brings extensive experience in process improvement and lean manufacturing. Her work focuses on enhancing processing efficiency through advanced engineering methods.

Profile

Scopus

Strengths for the Award

  1. Diverse Research Experience: Tran Thi Bich Chau Vo has a rich background in industrial engineering and management, with specific expertise in lean manufacturing, workflow process reengineering, and value stream mapping. Her work spans various industries, including garment manufacturing and aquaculture, demonstrating versatility and the ability to apply innovative techniques across different fields.
  2. Significant Research Contributions: Her publications reflect a strong commitment to advancing knowledge in industrial processes and environmental management. Notable works include her contributions to improving manufacturing processes and her involvement in projects related to green waste management and smart manufacturing.
  3. Leadership and Project Management: Vo has led several research projects, including those funded by Can Tho University and international grants. Her roles in projects like “Improvement of Pangasius Fillet Producing Line based on Lean Manufacturing” and “Genetic algorithm-based optimal locations for apparel logistics” showcase her ability to drive innovative solutions and manage complex research initiatives.
  4. International Collaboration: Her involvement in international projects, such as the Erasmus-funded green waste management project, indicates a collaborative approach and engagement with global research communities.
  5. Educational and Professional Background: Vo’s academic qualifications, including her Ph.D. in Industrial Engineering and Management, and her practical experience in both academia and industry, provide a solid foundation for her innovative research endeavors.

Areas for Improvement  

  1. Broader Innovation Impact: While Vo has demonstrated significant contributions to industrial and environmental processes, expanding her research impact into emerging technologies or interdisciplinary areas could further strengthen her profile. Exploring innovations in fields like artificial intelligence or digital transformation could enhance her contributions to cutting-edge research.
  2. Enhanced Public Engagement: Increasing the visibility of her research through popular science publications, media engagements, or public talks could broaden the reach and impact of her work. Engaging with a wider audience could also help in disseminating innovative solutions to practical challenges.
  3. Collaborative Ventures: Expanding her network to include collaborations with industry leaders, startups, or other research institutions might offer new perspectives and resources for innovation. Such collaborations could lead to the development of novel solutions and technologies.

    Education 

    🎓 Tran Thi Bich Chau VO is pursuing a Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, expected to complete in December 2024. She holds a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, Vietnam (2014), and a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, Vietnam (2011).

    Experience  

    💼 Tran has been a Lecturer at Can Tho University since August 2014. Previously, she served as Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company (2012-2014) and worked in the Work Study Department at Garment Fashion Limited (2011-2012).

    Research Interests  

    🔬 Tran’s research interests include workflow process reengineering, lean manufacturing, and simulation techniques to improve processing efficiency. Her recent work explores value stream mapping and the optimization of manufacturing processes.

    Awards 

    🏆 Tran has led multiple successful projects including the improvement of production lines based on lean manufacturing and genetic algorithm-based optimization for apparel logistics. Her projects have received funding and recognition from Can Tho University and other institutions.

    Publications

    📝 Tran has authored several notable publications. Here are a few of her works:

    1. Wang, C. N., Vo, T. T. B. C., Hsu, H. P., Chung, Y. C., Nguyen, N. T., & Nhieu, N. L. (2024). Improving processing efficiency through workflow process reengineering, simulation, and value stream mapping: a case study of business process reengineering. Business Process Management Journal.
    2. Wang, C. N., Vo, T. T. B. C., Chung, Y. C., Amer, Y., & Truc Doan, L. T. (2024). Improvement of manufacturing process based on value stream mapping: a case study. Engineering Management Journal, 36(3), 300-318.
    3. Nguyen, N. T., Vo, T. T. B. C., Tran-Nguyen, P. L., Nguyen, M. N., Matsuhashi, R., Kim, K., & Vo, T. T. B. C. (2024). A comprehensive review of aeration and wastewater treatment. Aquaculture, 741113.
    4. Tien Nguyen, N., Tran-Nguyen, P. L., & Vo, T. T. B. C. (2024). Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives. AQUA—Water Infrastructure, Ecosystems and Society, 73(5), 902-916.
    5. Vo, T. S., Hoang, T., Vo, T. T. B. C., Jeon, B., Nguyen, V. H., & Kim, K. (2024). Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications. Advanced Healthcare Materials, 2303923.

      Conclusion

      Tran Thi Bich Chau Vo is a strong candidate for the Research for Excellence in Innovation award due to her extensive experience, significant research contributions, and leadership in managing and executing innovative projects. Her diverse background and international collaboration highlight her capability to drive impactful research. To further enhance her candidacy, focusing on expanding her research into emerging technologies and increasing public engagement could provide additional value and recognition in the field of innovation.

Alaa Jamal | Process Control | Best Researcher Award

Dr. Alaa Jamal | Process Control | Best Researcher Award

Research Scientist at Agricultural Research Organization, Israel

Alaa Jamal is a researcher specializing in hydrodynamics and water resources engineering. He completed his Ph.D. and M.Sc. at Technion – Israel Institute of Technology, focusing on improving crop growth models and irrigation scheduling using real-time measurements and probabilistic forecasts. Currently, he serves as a researcher in precision aquaculture at the Agricultural Research Organization, focusing on optimizing aquaculture processes through control and monitoring technologies. Previously, he held positions as a postdoctoral researcher at the University of Illinois at Urbana-Champaign and a research scholar at the University of Haifa. Alaa has published extensively and presented his work internationally, with expertise in programming languages like Matlab, Python, C, C#, and R, and proficiency in professional software such as Autocad, Office, and SolidWorks.

Professional Profiles

Education

Alaa Jamal pursued his academic journey at the Technion – Israel Institute of Technology in Haifa, Israel, achieving significant milestones in hydrodynamics and water resources engineering. He completed his Ph.D. from 2017 to 2020, focusing on enhancing crop growth predictions through real-time measurements. During his master’s studies from 2014 to 2017, he specialized in optimizing irrigation schedules using probabilistic weather forecasting. Earlier, from 2010 to 2014, Alaa earned his bachelor’s degree in Water Resources and Environmental Engineering, laying the foundation for his subsequent research and professional endeavors in precision aquaculture and water distribution analysis.

Professional Experience

Since 2022, Alaa Jamal has served as a researcher in precision aquaculture at the Agricultural Research Organization, focusing on optimizing aquaculture processes through advanced control and monitoring technologies. His responsibilities include preparing research proposals, supervising Master’s and Ph.D. students, and publishing peer-reviewed papers. Previously, from 2020 to 2022, he was a postdoctoral researcher at the University of Illinois at Urbana-Champaign, where he contributed to a USDA-funded project on smart irrigation techniques in the Corn Belt, USA. His work involved developing irrigation scheduling tools integrating field data, weather forecasts, and machine learning-based crop simulation models. Prior roles also include research scholar positions at the University of Haifa and teaching assistantships at Technion – Israel Institute of Technology, where he contributed to various courses in fluid mechanics, statistics, and water systems design.

Research Interest

Alaa Jamal’s research interests lie at the intersection of hydrodynamics, water resources engineering, and agricultural technologies. His work primarily focuses on optimizing crop growth models through real-time measurements and enhancing irrigation scheduling using probabilistic weather forecasting. He is particularly interested in precision aquaculture, where he explores optimal control and monitoring technologies to improve aquaculture processes. His expertise extends to developing smart irrigation techniques and analyzing water distribution networks, emphasizing the integration of data assimilation techniques like ensemble Kalman filters and genetic algorithms. Jamal’s research contributes significantly to sustainable agriculture and water resource management.

Publications and Presentations

Alaa Jamal has authored several peer-reviewed papers in prestigious journals like the Journal of Water Resources Planning and Management, Vadose Zone Journal, and Water Resources Management. He has also presented his research at various international conferences and symposia, showcasing his expertise in stochastic irrigation scheduling, data assimilation in hydrology, and optimization models in agriculture and aquaculture.

Computer Skills

He is proficient in programming languages such as Matlab, Python, C, C#, and R, and has experience with professional software including Autocad, Office, and SolidWorks.

Publications

  1. Real-time ammonia estimation in recirculating aquaculture systems: A data assimilation approach
    • Authors: Alaa Jamal, Ahmed Nasser, Jaap van Rijn
    • Year: 2024
    • Journal: Aquacultural Engineering
    • Volume: 106
    • Pages: 102432
  2. Covariance-Based Selection of Parameters for Particle Filter Data Assimilation in Soil Hydrology
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2022
    • Journal: Water (Switzerland)
    • Volume: 14
    • Issue: 22
    • Pages: 3606
    • Citations: 2
  3. Utilizing Matrix Completion for Simulation and Optimization of Water Distribution Networks
    • Authors: Mashor Housh, Alaa Jamal
    • Year: 2022
    • Journal: Water Resources Management
    • Volume: 36
    • Issue: 1
    • Citations: 1
  4. Genetic operator-based particle filter combined with Markov chain Monte Carlo for data assimilation in a crop growth model
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2020
    • Journal: Agriculture (Switzerland)
    • Volume: 10
    • Issue: 12
    • Pages: 606
    • Citations: 11
  5. Inflation method based on confidence intervals for data assimilation in soil hydrology using the ensemble Kalman filter
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2020
    • Journal: Vadose Zone Journal
    • Volume: 19
    • Issue: 1
    • Pages: e20000
    • Citations: 10
  6. Optimal Irrigation with Perfect Weekly Forecasts versus Imperfect Seasonal Forecasts
    • Authors: Alaa Jamal, Raphael Linker, Mashor Housh
    • Year: 2019
    • Journal: Journal of Water Resources Planning and Management
    • Volume: 145
    • Issue: 5
    • Pages: 06019003
    • Citations: 16
  7. Comparison of various stochastic approaches for irrigation scheduling using seasonal climate forecasts
    • Authors: Alaa Jamal, Raphael Linker, Mashor Housh
    • Year: 2018
    • Journal: Journal of Water Resources Planning and Management
    • Volume: 144
    • Issue: 7
    • Pages: 04018028
    • Citations: 13