Mehret Sime | Industrial Engineering | Best Researcher Award

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Mrs. Mehret Sime | Industrial Engineering | Best Researcher Award

Mrs. Mehret Sime, Addis Ababa university, Ethiopia

Mehret Getachew Sime, born on April 24, 1993, in Addis Ababa, is a PhD candidate in Industrial Engineering at Addis Ababa University. She holds an MSc (2018) and BSc (2015) in the same field. Currently a lecturer at Dire Dawa University, Mehret has experience in University-Industry linkage and has completed externships with Coca-Cola and internships in the metal sector. Her research focuses on digital maturity in manufacturing and AI for zero-defect manufacturing. She is an active member of the International Society for Industrial Engineering and Operations Management. 💡📊

Publication profile

Orcid

Educational Background

Mrs. Mehret is a 4th-year Ph.D. candidate in Industrial Engineering at Addis Ababa Institute of Technology, Addis Ababa University. She also holds an MSc in Industrial Engineering from the same institution, completed in 2018, and a BSc from Mekelle University, obtained in 2015. Her educational journey reflects a strong foundation in industrial engineering.

Work Experience

Mrs. Mehret has been a Lecturer at Dire Dawa Institute of Technology, Dire Dawa University since 2018. In addition, she served as an officer in University-Industry Linkage and gained practical experience through externships and internships at East African Bottling Share Company (Coca-Cola) and Metal and Engineering Corporation. Her academic and industrial experiences position her well in research and teaching.

Training Certifications

Mrs. Mehret has completed various leadership and project management training courses, equipping her with essential skills for leading academic and industrial projects. She is also certified in Kaizen and entrepreneurship, further diversifying her expertise.

Conclusion

Mrs. Mehret Getachew Sime’s extensive academic background, professional experience, publications, and active involvement in industrial engineering make her a suitable candidate for the Research for Best Researcher Award. Her dedication to advancing the field and consistent contributions reflect her high potential as a researcher.

 

Publication Top Notes

  • Application of AI to Enhance Manufacturing Quality and Zero-Defect Using CRISP-DM Framework (2024) 📊🧠
  • Data Analytics in Zero Defect Manufacturing: A Systematic Literature Review and Proposed Framework (2024) 📚🔧
  • Analysis of Factors Affecting the Digital Maturity of Manufacturing Industries: Evidence from the Metal Sector in Ethiopia (2023) ⚙️📈

 

 

 

 

AmelJaoua | Industrial Engineering | Industry Integration Academic Award

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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)