Mahmoud Mossa | Engineering | Best Researcher Award

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Assoc Prof Dr. Mahmoud Mossa | Engineering | Best Researcher Award

Associate Professor, Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt

Dr. Mahmoud Mohamed, also known as Mahmoud A. Mossa, is a distinguished Associate Professor in the Department of Electrical Engineering at Minia University in Egypt, with significant research contributions across Egypt and Italy. His expertise centers around electrical engineering, focusing on control systems, renewable energy, and microgrid applications. With a strong international academic and research background, Dr. Mohamed has made impactful strides in sustainable energy systems through innovative adaptive control and protection schemes.

Publication Profile

Google Scholar

Education 🎓

Ph.D. in Industrial Engineering – Università degli Studi di Padova, Italy (2014–2017). M.Sc. in Electrical Engineering – Minia University, Egypt (2010–2013). B.Sc. in Electrical Engineering – Minia University, Egypt (2003–2008)

Experience 💼

Associate Professor – Minia University, Egypt (2023–Present), Assistant Professor – Minia University, Egypt (2018–Present), Postdoctoral Researcher – Università degli Studi di Padova, Italy (2021–2022), Research Fellow (Borsisti) – Università degli Studi di Padova, Italy (2017–2018),Doctoral Researcher – Università degli Studi di Padova, Italy (2014–2017)

Research Interests 🔍

Dr. Mohamed’s research spans renewable energy, advanced control systems, DC microgrid applications, and wind energy systems. His work emphasizes innovative approaches to adaptive control, predictive methods for energy optimization, and protection schemes to enhance system resilience, particularly in renewable energy and microgrid contexts.

Awards 🏆

Dr. Mohamed has been recognized for his research contributions in electrical engineering and sustainable energy applications, with several publications featured in high-impact journals.

Selected Publications 📚

Adaptive Control Approach for Accurate Current Sharing and Voltage Regulation in DC Microgrid Applications
Energies, 2024. DOI: 10.3390/en17020284

Application and Comparison of a Modified Protection Scheme Utilizing a Proportional–Integral Controller with a Conventional Design to Enhance Doubly Fed Induction Generator Wind Farm Operations during a Balanced Voltage Dip
Processes, 2023. DOI: 10.3390/pr11102834

Enhancing the Performance of a Renewable Energy System Using a Novel Predictive Control Method
Electronics, 2023. DOI: 10.3390/electronics12163408

Enhancement of LVRT Ability of DFIG Wind Turbine by an Improved Protection Scheme with a Modified Advanced Nonlinear Control Loop
Processes, 2023. DOI: 10.3390/pr11051417

 

Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

Doctor, Gaziantep Islam Science and Technology University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering, 27010 Gaziantep, Turkey

Profile

Scopus

Strengths for the Award

Dr. Yusuf Karadede’s research in stochastic processes, heuristic algorithms, and stochastic optimization underscores his deep expertise and innovative approach in industrial engineering. His doctoral thesis and subsequent work have made significant contributions to the fields of simulation and stochastic modeling. Notably, his publications in esteemed journals like Soft Computing and Energy highlight his ability to tackle complex problems with advanced computational techniques.

Dr. Karadede’s diverse range of scientific activities demonstrates his commitment to advancing both theoretical and applied aspects of his field. His development of novel models such as the ProFiVaS model for financial indicators, showcased in his recent publication in Expert Systems with Applications, exemplifies his forward-thinking approach and impact on financial modeling.

Areas for Improvement

While Dr. Karadede’s research is highly impactful, expanding the scope of his research to include interdisciplinary approaches could further enhance the applicability of his work. For instance, integrating his stochastic models with emerging technologies like machine learning could offer new insights and broaden the impact of his research. Additionally, increasing collaboration with international research groups might provide new perspectives and enhance the global reach of his contributions.

Academic Background:

  • Bachelor’s Degree: Mathematics, Suleyman Demirel University, 2006-2010
  • Master’s Degree: Industrial Engineering, Suleyman Demirel University, 2011-2014
  • Doctorate (Ph.D.): Industrial Engineering, Suleyman Demirel University, 2015-2020

Professional Experience:

  • Kafkas University: Faculty of Engineering and Architecture, Department of Industrial Engineering (2014-2015)
  • Suleyman Demirel University: Faculty of Engineering, Department of Industrial Engineering (2015-2020)
  • Gaziantep Islam Science and Technology University: Department of Industrial Engineering (2020-Present)

Research Interests:

  • Stochastic Processes and Models
  • Simulation
  • Heuristic Algorithms
  • Stochastic Optimization

 Awards and Scholarships:

  • TÜBİTAK 2210-C Program Scholarship (2013-2014)
  • TÜBİTAK 2211-C Program Scholarship (2018-2020)

Publications Top Notes:

Karadede, Y., Özdemir, G. (2018). A hierarchical soft computing model for parameter estimation of curve-fitting problems. Soft Computing, 22(20), 6937-6964.

Karadede, Y., Ozdemir, G., Aydemir, E. (2017). Breeder Hybrid Algorithm Approach for Natural Gas Demand Forecasting Model. Energy, 141, 1269-1284.

Akdeniz, F., Biçil, M., Karadede, Y., Özbek, F. E., Özdemir, G. (2018). Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials. Energy, 160, 1047-1054.

Karadede, Y. (2024). A novel stochastic ProFiVaS model based on decomposition of stochastic Vasicek differential equation for modeling and simulating financial indicators. Expert Systems with Applications

Conclusion

Dr. Yusuf Karadede’s distinguished research in stochastic processes and optimization positions him as a strong candidate for the Best Researcher Award. His innovative contributions, including high-impact publications and successful research projects funded by prestigious institutions like TÜBİTAK, highlight his significant achievements and potential for future breakthroughs. His work not only advances theoretical understanding but also offers practical solutions to real-world problems, making him a deserving nominee for this esteemed accolade.