Dragi Stamenkovic | Mathematical Engineering | Best Researcher Award

Published on by Math Scientist

Dr. Dragi Stamenkovic | Mathematical Engineering | Best Researcher Award

Professor of Vocational Studies at College of Applied Studies Aviation Academy | Serbia

Dr. Dragi Stamenkovic is a distinguished professor of Mechanical Engineering with expertise in inspection, supervision, and advanced research in ship engineering, power plants, and industrial energy systems. He earned his Ph.D. in Mechanical Engineering from the University of Belgrade and has led major academic and industrial projects across Europe, Africa, and Asia, building strong international collaborations. His work includes impactful publications in reputed journals and conferences, as well as significant applied research contributions. Beyond technical excellence, he has served in leadership roles as project manager, director, and supervisor in multinational ventures while also mentoring students and contributing to academic growth. Actively involved in professional platforms and community initiatives, Dr. Stamenkovic continues to bridge academia and industry, advancing global engineering research and inspiring future generations.

Professional Profiles

Scopus Profile | ORCID Profile 

Education

Dr. Dragi Stamenkovic completed his Bachelor’s, Master’s, and Doctoral studies in Mechanical Engineering at the Faculty of Mechanical Engineering, University of Belgrade. His academic journey reflects a strong foundation in applied mechanics, thermal systems, and industrial processes, which later shaped his teaching and research career. With each level of study, he advanced into specialized areas of energy systems, inspection, and supervision in engineering projects. His doctoral research provided him with expertise in advanced mechanical systems, combining both theoretical and practical approaches. This educational background not only prepared him for high-level academic roles but also enabled him to engage effectively with international engineering projects, ensuring that his work consistently integrates academic rigor with real-world applications in mechanical and industrial engineering fields.

Experience

Dr. Stamenkovic has accumulated extensive professional experience as a professor, project manager, supervisor, and director in multinational engineering ventures. He has served in both academic and industrial capacities, teaching subjects such as inspection and supervision on ships, while also overseeing major power plant, refinery, and infrastructure projects. His career includes leadership positions in Europe, Africa, and Asia, where he contributed to large-scale energy and mechanical engineering projects with global impact. His ability to bridge academia and industry has allowed him to develop innovative solutions while mentoring future engineers. Over the years, he has successfully managed teams across different cultural and technical settings, demonstrating strong leadership, problem-solving, and decision-making skills, making him a respected figure in international mechanical engineering practice.

Research Interest

Dr. Stamenkovic’s research interests lie in mechanical engineering systems, energy transformation, inspection and supervision of industrial projects, and the advancement of applied technologies in power plants and ship engineering. He is particularly focused on developing innovative approaches to improve safety, efficiency, and sustainability in large-scale engineering projects. His research extends to the design, supervision, and management of thermal power systems, oil refineries, and industrial plants. With a balance of theoretical knowledge and practical application, he emphasizes the integration of modern engineering practices into academic research. He also shows interest in fostering international collaborations, bringing together academia and industry to solve global energy and engineering challenges. His work reflects a dedication to advancing mechanical engineering practices while contributing to environmental and industrial development.

Awards and Honors

Dr. Stamenkovic has earned recognition for his contributions to mechanical engineering, education, and global project leadership. His professional journey highlights his role as a professor, mentor, and engineering expert whose efforts have made a significant impact on both academic and industrial communities. He has been acknowledged for his leadership in multinational projects, where his supervision and project management skills ensured successful outcomes in high-stakes engineering environments. His academic achievements, including the attainment of a Ph.D. and continuous involvement in teaching and research, further underscore his distinction in the field. Honors and recognition reflect his dedication to advancing mechanical engineering while fostering cross-border collaborations, making him a respected professional whose contributions continue to inspire both students and colleagues worldwide.

Research Skill

Dr. Stamenkovic possesses strong research skills that integrate advanced mechanical engineering knowledge with practical, industry-focused applications. His expertise covers project supervision, inspection, and energy system management, allowing him to conduct research that directly addresses real-world engineering challenges. He is skilled in developing innovative solutions for power plant operations, refinery systems, and ship engineering projects. His ability to manage multidisciplinary teams and lead international collaborations demonstrates his capacity to translate research into impactful outcomes. He is proficient in publishing research in reputed journals and presenting findings at international conferences. His skills extend to mentoring students, guiding them in research methodologies, and fostering critical thinking. This unique blend of academic rigor, technical expertise, and leadership positions him as a highly capable and influential researcher.

Publication Top Notes

  • Title: Mathematical Modeling and Finite Element Analysis of Torsional Divergence of Carbon Plates with an AIREX Foam Core
    Authors: Mirko Dinulovic, Mato Perić, Dragi Stamenković, Jovan Bengin
    Year: 2025

  • Title: Implementation of Stability Analysis Approach for In-pipe Inspection Robot Movement through Pipeline Fittings
    Authors: Krešimir Osman, Mato Perić, Dragi Stamenković
    Year: 2025

  • Title: Aeroelastic Behavior of 3D-Printed Tapered Polylactic Acid Plates Under Subsonic Flow Conditions
    Authors: Mirko Dinulovic, Mato Perić, Dragi Stamenković, Marta Trninic
    Year: 2025

  • Title: Presentation of Control Algorithm for Cooling System in Business Building
    Authors: Krešimir Osman, Andrija Topčić, Mato Perić, Dragi Stamenković
    Year: 2024

  • Title: Residual Fatigue Life Analysis of Aircraft Structural Elements
    Authors: Dragi Stamenković, Ivana Vasović, Mirko Maksimovic
    Year: 2023

  • Title: A Simplified Engineering Method for a T-joint Welding Simulation
    Authors: Mato Perić, Zdenko Tonkovic, Igor Karšaj, Dragi Stamenković
    Year: 2018

  • Title: Crack Growth Analysis and Residual Life Estimation of Structural Elements Under Mixed Modes
    Authors: Mirko Maksimović, Ivana Vasović, Katarina Maksimović, Dragi Stamenković
    Year: 2018

  • Title: Optimal Design of Aircraft Structural Components
    Authors: K. Maksimović, Ivana Vasović, M. Maksimović, Dragana Turnic
    Year: 2017

  • Title: Determination of Fracture Mechanics Parameters of Structural Components with Surface Crack Under Thermomechanical Loads
    Authors: Katarina Maksimovic, Dragi Stamenković, Mirko Maksimovic, Ivana Vasović
    Year: 2016

  • Title: Finite Element Modeling of Wing Bird Strike
    Authors: Marinko Ugrcic, S.M. Maksimović, Dragi Stamenković, Nabil Khettou
    Year: 2015

  • Title: Numerical Modeling and Initial Fatigue Life Estimations of Welded Structural Components
    Authors: Ivana Vasović, Marko Ristic, Slavica Ristic, Dragi Stamenković
    Year: 2014

  • Title: Fracture Mechanics Analysis of Damaged Turbine Rotor Discs Using Finite Element Method
    Authors: Ivana Vasović, Stevan M. Maksimovic, Dragi Stamenković, Gordana Bakic
    Year: 2014

  • Title: Integration of System Design and Production Processes in Robust Mechatronic Product Architectures Development – Extended M-FBFP Framework
    Authors: Krešimir Osman, Dragi Stamenković, Mihailo P. Lazarević
    Year: 2013

Conclusion

Dr. Dragi Stamenkovic stands out as a distinguished academic and professional whose career combines teaching, research, and global engineering practice. With strong educational credentials, extensive international experience, and a passion for advancing mechanical engineering, he has made remarkable contributions to both academia and industry. His leadership in multinational projects, combined with his dedication to mentoring and community engagement, showcases his ability to inspire the next generation of engineers. His research interests and skills reflect a forward-looking vision, aimed at improving efficiency, sustainability, and innovation in engineering. Dr. Stamenkovic’s career demonstrates a rare balance of academic excellence and practical expertise, making him a deserving candidate for prestigious recognitions while holding strong potential for continued global impact.

Michael Todinov | Mathematical Engineering | Best Researcher Award

Published on by Math Scientist

Prof. Michael Todinov | Mathematical Engineering | Best Researcher Award

Professor in Mechanical Engineering at Oxford Brookes University, School of Engineering, Computing and Mathematics, United Kingdom

Professor Michael Todinov is a trailblazing mind in the realm of applied mathematics, reliability engineering, and risk analysis 🌐📊. Renowned for his pioneering contributions to flow networks, reliability modeling, and probabilistic safety assessment, he has authored numerous influential papers and books that have reshaped contemporary engineering thinking 📘⚙️. With a unique approach that blends mathematical innovation with practical utility, Prof. Todinov has introduced novel methodologies for optimizing system performance under uncertainty and complexity 🔍🔧. His work is widely applied across infrastructure, manufacturing, and safety-critical systems, cementing his status as a visionary scholar and problem-solver 🏗️🧠. As a respected educator and thought leader, he continues to inspire a new generation of engineers and researchers to embrace analytical rigor with creative foresight 🎓💡. Driven by curiosity and excellence, Prof. Todinov’s legacy is a testament to the power of mathematical insight in transforming real-world systems 🌟📐.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Michael Todinov’s educational journey 🌍 began with a First-Class Honours degree in Mechanical Engineering from the Technical University of Sofia 🎓, where his early fascination with precision and systems emerged. Driven by intellectual curiosity, he pursued a PhD at the University of Birmingham—an extraordinary accomplishment completed without formal supervision, based solely on published research 📚. Later, he earned a Doctor of Engineering (DEng), the UK’s equivalent of a DSc, for his pioneering work in probabilistic modeling and system reliability 🔍. This academic evolution reflects a rare synthesis of engineering insight ⚙️ and mathematical depth ➕, enabling him to approach challenges from a multidisciplinary perspective. His educational path has been marked by rigor, creativity, and trailblazing scholarship—qualities that continue to define his professional excellence today. 🧠

💼 Professional Experience

With over 30 years of experience 🌟, Prof. Todinov has held key roles across UK institutions, including his current position as Professor at Oxford Brookes University 🎓. Earlier, he led groundbreaking research as Head of Risk and Reliability at Cranfield University and served as a Research Scientist at the University of Birmingham 🧪. His professional journey blends academic excellence with real-world innovation 🌐, including collaborations with major organizations like BP, Total, and KIMM. His work spans failure modeling, flow network optimization, and engineering safety, using cutting-edge algorithms and simulation techniques 🧮. Whether developing industry solutions or mentoring PhD students 🎓, Prof. Todinov brings a unique fusion of creativity, logic, and leadership. His roles reflect a consistent dedication to advancing applied mathematics and making theory work in practice ⚒️.

🔬 Research Interests

Prof. Todinov’s research is a deep dive into the world of probability, optimization, and system reliability 🎯. He develops new theories and practical models that redefine how we assess risks and design safer, more efficient systems 💡. His focus areas include probabilistic risk reduction, algebraic inequalities, flow networks, and fracture mechanics 🧱. Notably, he challenged and corrected traditional reliability models 🔄, offering innovative alternatives with real-world impact. His algorithm for maximizing flow through damaged networks is the fastest known, making it vital for industries like energy ⚡ and infrastructure 🚧. He also introduced methods for reverse-engineering algebraic inequalities—a breakthrough in mathematical logic 🧠. Prof. Todinov’s work is both foundational and futuristic, balancing theoretical brilliance with powerful applications that influence global engineering and safety practices. 🔧

🏅 Awards and Honors

Prof. Todinov has been recognized globally for his exceptional work 🥇. He received honors from the Institution of Mechanical Engineers (UK) for his influential contributions to engineering risk reduction 🛡️. His Doctor of Engineering (DEng) was conferred in acknowledgment of his career-long breakthroughs in mathematical modeling, an award rarely granted and held by only a select few 🔝. His books—published by Wiley, Elsevier, and CRC Press—have become foundational references across academic and industrial communities 📖. He’s a frequent keynote speaker, journal editorial board member, and award-winning educator 🎤📘. His blend of academic impact and practical innovation has earned him international respect, with accolades that confirm his status as a pioneer in risk science and reliability engineering ⚙️. These honors reflect not just achievement, but lasting influence.

Conclusion

Prof. Michael Todinov stands as a brilliant example of how mathematics and engineering can shape real-world systems 🌐. His research has led to smarter designs, safer infrastructures, and more reliable systems worldwide 🛠️. By blending advanced theory with hands-on solutions, he’s redefined what it means to be an applied mathematician and engineer 🚀. Whether leading research, inspiring students 🎓, or developing the next breakthrough algorithm, his impact is wide-reaching and deeply rooted. As a thinker, educator, and innovator 💬, he’s left a legacy that transcends borders and disciplines. His work continues to elevate global standards in risk management, optimization, and system resilience, earning him a well-deserved place among the world’s top research minds 🧩. Prof. Todinov’s journey reminds us that the intersection of logic and creativity is where true innovation thrives. ✨

Publications Top Notes

📖 Title: Reverse Engineering of Algebraic Inequalities for System Reliability Predictions and Enhancing Processes in Engineering
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 7
📖 Source: IEEE Transactions on Reliability 📰

📖 Title: Lightweight Designs and Improving the Load-Bearing Capacity of Structures by the Method of Aggregation
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 1
📖 Source: Mathematics 📐

📖 Title: Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 2
📖 Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 🛠️

📖 Title: Reliability-Related Interpretations of Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 5
📖 Source: IEEE Transactions on Reliability 🔧

📖 Title: Probabilistic Interpretation of Algebraic Inequalities Related to Reliability and Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Quality and Reliability Engineering International 📊

📖 Title: Improving Reliability by Increasing the Level of Balancing and by Substitution
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ⚙️

📖 Title: Can System Reliability Be Predicted from Average Component Reliabilities?
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Safety and Reliability 🔒

📖 Title: Improving System Reliability and the Probability of Selecting Reliable Components by Interpreting Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Modelling, Identification and Control 🎯

📖 Title: On the Use of Analytical Inequalities for Improving Reliability and Reducing Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Risk Assessment and Management ⚖️

📖 Title: Risk-based Reliability Analysis and Generic Principles for Risk Reduction
✍️ Authors: M.T. Todinov
📅 Year: 2006
🔢 Citations: 114
📖 Source: Elsevier 📈

📖 Title: On Some Limitations of the Johnson–Mehl–Avrami–Kolmogorov Equation
✍️ Authors: M.T. Todinov
📅 Year: 2000
🔢 Citations: 80
📖 Source: Acta Materialia 🧪

📖 Title: Necessary and Sufficient Condition for Additivity in the Sense of the Palmgren–Miner Rule
✍️ Authors: M.T. Todinov
📅 Year: 2001
🔢 Citations: 75
📖 Source: Computational Materials Science 🔬

📖 Title: Is Weibull Distribution the Correct Model for Predicting Probability of Failure Initiated by Non-Interacting Flaws?
✍️ Authors: M.T. Todinov
📅 Year: 2009
🔢 Citations: 58
📖 Source: International Journal of Solids and Structures 🏗️

📖 Title: Flow Networks: Analysis and Optimization of Repairable Flow Networks, Networks with Disturbed Flows, Static Flow Networks and Reliability Networks
✍️ Authors: M.T. Todinov
📅 Year: 2013
🔢 Citations: 54
📖 Source: Newnes 🌐