Ms. TRAN THI BICH CHAU VO | Industrial Engineering and Management | Best Researcher Award

Ms. TRAN THI BICH CHAU VO , National Kaohsiung University of Science and Technology, Taiwan

Ms. Tran Thi Bich Chau Vo is a distinguished researcher in the field of Industrial Engineering and Management. She earned her Master’s and Bachelor’s degrees in Industrial Engineering from leading institutions in Vietnam. Currently, Ms. Vo is recognized for her innovative research on optimizing industrial processes and improving management strategies.

Her research focuses on enhancing operational efficiency and integrating advanced technologies in industrial settings. Ms. Vo has published several influential papers in renowned journals and has actively contributed to conferences and workshops in her field.

Her work has made a significant impact on both academic research and practical applications in industrial engineering, making her a deserving candidate for the Best Researcher Award.

Publication profile

Orcid

Education and Training

Ms. Tran Thi Bich Chau Vo is a dedicated academic and practitioner in Industrial Engineering and Management with extensive experience in both educational and industry settings. She is currently pursuing a Ph.D. in Industrial Engineering and Management at National Kaohsiung University of Science and Technology, Taiwan, expected to be completed by December 2024. Her research focuses on “Improving Processing Efficiency through Workflow Process Reengineering, Simulation, and Value Stream Mapping.”

Previously, Ms. Vo earned a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, Vietnam National University, where her thesis was on the “Effects of Lean Manufacturing in a Garment Line at Thanhcong Textile Garment Investment Trading Joint Stock Company (TCG).” She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, with a thesis on “Researching the Improved Pattern for the Production Department in An Phu Chau Company.”

Ms. Vo has worked in various roles, including as a Lecturer in the Faculty of Industrial Management at Can Tho University and as Head of the Research & Development Department at TCG. Her industry experience extends to positions at Garment Fashion Limited and a background in simulation and process improvement.

Fluent in Vietnamese and proficient in English, with basic knowledge of Japanese, Ms. Vo has demonstrated strong social, intercultural, and organizational skills. She has been actively involved in academic reviews for journals and conferences and has led several research projects on topics such as Lean Manufacturing and optimization models in supply chains. Her contributions also include significant research grants and projects related to production efficiency and green waste management.

Her expertise in industrial engineering, combined with her academic background and practical experience, underscores her commitment to advancing the field of industrial management.

Working Experiances

Ms. Tran Thi Bich Chau Vo has held several notable positions in her career. From October 2012 to July 2014, she served as a Lecturer at the Faculty of Industrial Management at Can Tho University, located on 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam. Prior to this role, she was the Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company (TCG) in Ho Chi Minh City, Vietnam, from April 2011 to September 2012. Additionally, Ms. Vo began her professional journey as a staff member in the Work Study Department at Garment Fashion Limited in Bien Hoa, Vietnam.

Publication Top Notes

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. https://doi.org/10.1108/BPMJ-11-2023-0869
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. https://doi.org/10.1080/10429247.2023.2265793
Nguyen, N. T., Vo, T. S., 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. https://doi.org/10.1016/j.aquaculture.2024.741113
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. https://doi.org/10.2166/aqua.2024.328
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. https://doi.org/10.1002/adhm.202303923
Truong, H. Q., Nguyen, L. T., Bich, C. V. T. T., Nguyen, P. H., & Thu, H. H. T. (2023, February). The impact of buy-back policy and coordination on two-stage supply chain optimization: A computational study of black tiger shrimp supply chain in Vietnam. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0111315
Thuy, N. T. L., Chau, V. T. T. B., Phong, H. T., & Tham, T. T. (2023, February). Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0113972
Tien, N. N., Chau, V. T. T. B., & Hoan, P. V. (2023, February). Optimal microgrid design and operation for sustainable shrimp farming. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0110433
Nguyen, N. T., Vo, T. T. B. C., Le, P. H., & Wang, C. N. (2023). Improving inventory time in production line through value stream mapping: A case study. Journal of Engineering Science & Technology Review, 16(1), 33-43. ISSN: 1791-2377. Publisher: Kavala Institute of Technology. doi:10.25103/jestr.161.05
Vo, T. T. B. C., Nguyen, N. T., Nguyen, T.-D., Phan, V. Q., Vu, D. Q., & Wang, C. N. (2023). Advancements in smart manufacturing through the development of a digital twin platform for smart agents: A review. Proceedings of the International Scientific Conference (ISC) – 2023 “Promoting Academic Capacity and Scientific Research of Learners Adapting to Digital Transformation and Artificial Intelligence”, 218-229

Prof. AmelJaoua | Industrial Engineering | Industry Integration Academic Award

Prof. AmelJaoua, National Engineering school of tunis, Tunisia

👩‍🏫 Prof. Amel Jaoua, Ph.D., is a seasoned Industrial Engineering Professor with over 15 years of experience, specializing in Simulation Modeling, Artificial Intelligence, and Digital Twins for Smart Manufacturing. She has published extensively in high-impact journals and played a pivotal role in establishing the Erasmus Master’s Program in Next Production Revolution. With a rich background in academia and industry collaboration, she excels in teaching and research, fostering innovation in global industrial practices. Proficient in multiple programming languages and simulation software, she continues to drive advancements in her field with a dedication to excellence. Connect with her on LinkedIn for more insights.

Publication Profile:

Google Scholar

Education:

🎓 Prof. Amel Jaoua’s academic journey reflects a commitment to advancing industrial engineering through rigorous study and research. Her Ph.D. in Industrial Engineering from Polytechnic School of Montreal, Canada, focused on “Discrete Event Simulation Modeling for Real-Time Control of Complex Systems,” laying the groundwork for her expertise in simulation-based optimization. Prior to this, she earned her M.Sc. in Computer and Automation Engineering and B.Eng. in Computer Engineering and Informatics from the National Institute of Applied Sciences and Technology, Tunisia. Through her thesis projects, she delved into real-time traffic control optimization and robust simulation-based control models for supply chains, marking the beginnings of her scholarly pursuits. 📚

Experience :

👩‍🔬 Prof. Amel Jaoua’s journey in academia and industry spans over a decade, marked by impactful contributions and collaborations. As a Professor at the National Engineering School of Tunis since 2013, she’s been instrumental in shaping the minds of future engineers, crafting courses like Stochastic Processes and Digital Twin for Smart Manufacturing. Her global outlook is evident in co-developing the Erasmus Master’s Program in Next Production Revolution. Prior to academia, she delved into research consultancy at Hydro-Québec, honing simulation-based optimization techniques. Earlier, at Polytechnic School of Montreal and Pratt & Whitney Canada, she showcased prowess in industrial engineering, emphasizing simulation for real-time control and optimization. 🚀

Research Focus:

🔬 Prof. Amel Jaoua’s research focus primarily revolves around simulation modeling and optimization techniques to address complex logistical and industrial challenges. Her work spans various domains, including stochastic freight transportation scheduling, real-time fleet management, and intelligent control architectures for industrial systems. She explores innovative applications such as digital twins for smart manufacturing and reinforcement learning for container loading optimization. With a keen interest in interdisciplinary studies, she has contributed significantly to fields like call center management, supply chain optimization, and condition-based maintenance using machine learning. Prof. Jaoua’s diverse research portfolio demonstrates her commitment to advancing technology-driven solutions for real-world problems. 🌐

Publication Top Notes:

📚A simulation-optimization approach for scheduling in stochastic freight transportation(Cited by 60, 2018)
📚A simulation framework for real-time fleet management in internal transport systems (Cited by 59, 2012)
📚Specification of an intelligent simulation-based real time control architecture: Application to truck control system (Cited by 33, 2012)
📚A framework for realistic microscopic modelling of surface mining transportation systems (Cited by 29, 2009)
📚 Call-type dependence in multiskill call centers (Cited by 16, 2013)
📚Data Preparation in Machine Learning for Condition-based Maintenance (Cited by 11, 2021)
📚 New heuristic for the single container loading problem (Cited by 8, 2017)
📚New heuristic for the single container loading problem (Cited by 7, 2023)
📚Comparaison d’approches de modélisation de problèmes tests pour le pilotage du transport(Cited by 7, 2008)
📚A decision support system for on-demand goods delivery using shared autonomous electric vehicles (Cited by 6, 2019)