Khaled Mahmoud | Optimization Techniques | Best Researcher Award

Prof. Khaled Mahmoud | Optimization Techniques | Best Researcher Award

Khurma University College/Taif University | Saudi Arabia

Publication Profile

Google Scholar

👨‍🏫 Summary

Prof. Khaled Mahmoud Khurma is an accomplished professor specializing in Condensed Matter Physics with extensive experience in both academic and research fields. He has a strong background in Polymer Physics and has held multiple positions at Cairo University and Taif University. His academic journey spans over two decades, with significant contributions to material science and educational development.

🎓 Education

  • B.Sc. in Physics (Honors) – Cairo University, 1994
  • Pre-Master Courses – Cairo University, 1995
  • M.Sc. in Nuclear Physics (Theoretical), Cairo University, 1999
  • Ph.D. in Condensed Matter Physics – Cairo University, 2003 (Study of Electrical Properties of Sodium Carboxy Methyl Cellulose / Polyvinyl Alcohol Blends)

💼 Professional Experience

  • Lecturer (Physics Department, Cairo University, 2003–2009)
  • Associate Professor (Condensed Matter Physics, Cairo University, 2010–2016)
  • Manager, Material Science Lab (Cairo University, 2008–2010)
  • Assistant Professor (Taif University, Khurma University College, 2008–2010)
  • Associate Professor (Taif University, Khurma University College, 2010–present)
  • Professor (Condensed Matter Physics, Cairo University, 2016–present)

🌐 Academic Citations

Prof. Khurma has contributed to numerous high-impact journals, including:

  • Journal of Solid State Physics
  • Egyptian Journal of Physics
  • Journal of Material Science: Materials in Electronics
  • Journal of Applied Polymer Science
  • International Journal of Applied Ceramics Technology
  • Physica B

🛠️ Technical Skills

  • Expertise in Polymer Physics, Condensed Matter Physics, and Material Science
  • Specialized in the study of electrical, optical, and dielectric properties of various material blends, including polymers and rare-earth doped compounds
  • Skilled in research methodologies involving irradiation, spectroscopy, and various characterization techniques in physics

🏫 Teaching Experience

Prof. Khurma has taught a wide range of physics courses:

  • First Year: Electricity, Magnetism, Properties of Matter, Mechanics
  • Second Year: Electromagnetic Theory, Thermodynamics, Classical Mechanics, Electric Circuit Theory
  • Third Year: Semiconductors, Electronics, Statistical Mechanics, Atomic Physics
  • Fourth Year: Solid State Physics, Nuclear Physics, Quantum Mechanics
    He also teaches mathematics and physics for the Faculty of Education at Taif University.

🔬 Research Interests On Optimization Techniques

Prof. Khurma’s research focuses on the electrical, optical, and dielectric properties of polymers and polymer composites. He specializes in the study of irradiated materials, with an interest in the effects of radiation on polymer blends and their potential applications in electronics, materials science, and biophysics. His work has contributed to understanding the material behavior in real-world applications, particularly in the fields of electronics and polymer technology.

Publication Top Notes

High performance graphene oxide/NiAl2O4 directly grown on carbon cloth hybrid for oxygen evolution reaction
    • Authors: S Aman, HMT Farid, S Manzoor, MN Ashiq, RY Khosa, KA Elsayed, …
    • Journal: International Journal of Hydrogen Energy
    • Year: 2022
Optical properties of hydroxyethyl cellulose film treated with nitrogen plasma
    • Author: KH Mahmoud
    • Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
    • Year: 2016
Optical study of lithium–bismuth–borate glasses
    • Author: KH Mahmoud
    • Journal: International Journal of Applied Ceramic Technology
    • Year: 2009
Cobalt and holmium co-doped nickel ferrite nanoparticles: synthesis, characterization, and photocatalytic application studies
    • Authors: K Shafiq, M Aadil, W Hassan, Q Choudhry, S Gul, A Rais, AA Fattah, …
    • Journal: Zeitschrift für Physikalische Chemie
    • Year: 2023
Thermal analysis and infrared study of Nb2O5–TeO2 glasses
    • Authors: YB Saddeek, ER Shaaban, FM Abdel-Rahim, KH Mahmoud
    • Journal: Philosophical Magazine
    • Year: 2008
Vulnerability of sustainable Islamic stock returns to implied market volatilities: An asymmetric approach
    • Authors: SM Alsubaie, KH Mahmoud, A Bossman, E Asafo-Adjei
    • Journal: Discrete Dynamics in Nature and Society
    • Year: 2022

 

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.

💼 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.

📚 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.

💡 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