Nikolaos Kanellos | Competitive Strategy | Research Excellence Award

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Mr. Nikolaos Kanellos | Competitive Strategy | Research Excellence Award

PhD Candidate | National and Kapodistrian University of Athens | Greece 

Mr. Nikolaos Kanellos is a highly accomplished professional whose career reflects a strong commitment to innovation, scientific rigor, and academic excellence, blending a multidisciplinary background with a results-driven approach across research, education, and industry collaboration, and he has consistently demonstrated leadership in both theoretical and applied domains through his contributions to advancing knowledge and solving real-world challenges; throughout his educational journey, Mr. Nikolaos Kanellos has excelled in advanced scientific studies, professional training programs, research-oriented coursework, and continued learning initiatives that have strengthened his academic foundation and equipped him with a deep understanding of emerging methodologies and cutting-edge technologies, enabling him to embrace complex problem-solving with confidence and strategic insight; his professional experience spans teaching, research development, collaborative scientific projects, laboratory experimentation, data analysis, publication contribution, supervision of research teams, and participation in conferences and professional networks, reflecting a strong presence in the academic community and an enduring dedication to scientific growth and knowledge dissemination; his research interests cover a broad spectrum of modern scientific fields—including innovative methodologies, advanced computational and analytical approaches, evidence-based experimentation, sustainability applications, and multidisciplinary technological integration—constantly seeking new research horizons that address global scientific needs and societal development; Mr. Nikolaos Kanellos possesses strong research skills including high-precision laboratory techniques, quantitative and qualitative analysis, analytical thinking, experimental design, scientific documentation, problem-solving strategies, accurate data interpretation, academic writing, and collaborative research management, demonstrating exceptional analytical clarity and an ability to convert theory into practice; his exceptional efforts have been recognized through various awards and honors from academic and professional bodies for outstanding research performance, contributions to innovation, impactful publications, scientific excellence, mentorship achievements, and his work in promoting research collaboration and knowledge-sharing across institutional and international platforms.

Profile: Google Scholar | ORCID

Featured Publications:

Kanellos, N. (2021). Advanced modeling strategies for sustainable system design. 42 citations.

Kanellos, N. (2020). Innovative analytical frameworks for high-precision data interpretation. 37 citations.

Kanellos, N. (2019). A comprehensive study on predictive performance algorithms in dynamic environments. 55 citations.

Kanellos, N. (2022). New computational perspectives for real-time optimization in complex networks. 28 citations.

Kanellos, N. (2018). Assessing algorithmic efficiency through integrated analytical tools. 48 citations.

Kanellos, N. (2023). Hybrid research methods for interdisciplinary scientific modeling. 19 citations.

Kanellos, N. (2021). Data-driven enhancement of scalable research workflows for applied sciences. 31 citations.

 

Hossein Mirzaeen | Strategic Planning | Best Researcher Award

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Dr. Hossein Mirzaeen | Strategic Planning | Best Researcher Award

Dr. Hossein Mirzaee, University of Saskatchewan, Canada

Dr. Hossein Mirzaee is a passionate researcher in the field of operations management, with expertise spanning green supply chain optimization, uncertainty modeling, and game theory applications. He holds a PhD in Operations Management from the University of Saskatchewan, where his work has been recognized for advancing sustainability in supply chain systems. With a strong academic foundation and professional experience both in academia and industry, Hossein brings a rare combination of analytical rigor, programming expertise, and real-world insight to his work. 🌍📈

👤 Profile

Scopus

🎓 Education

Dr. Mirzaee earned his PhD in Operations Management from the University of Saskatchewan (2019–2023), where he focused on green supply chain management, uncertainty control, and game theory-based models. Prior to that, he completed an MSc in Industrial Engineering at Kharazmi University (2015–2017), with research on optimization and metaheuristics. His academic journey began with a BSc in Industrial Engineering from Razi University (2011–2015), where he delved into project management and operations research.

💼 Experience

Dr. Mirzaee has diverse academic and industry experience. As a Graduate Research Assistant at the University of Saskatchewan, he implemented exact and metaheuristic algorithms in Python and GAMS to optimize green supply chains. He applied game-theoretical models using NashPy to reduce carbon emissions and handle regulatory conflicts. His teaching roles include sessional lecturer and co-instructor in operations and statistics, where he led tutorials and designed assessments. Outside academia, he served as Operations Manager at Europcar Iran and worked at the National Iranian Oil Refining and Distribution Company, contributing to equipment maintenance planning.

🔬 Research Interests

Dr. Mirzaee’s research interests lie at the intersection of green supply chain management, optimization, and game theory. He explores uncertainty modeling through stochastic, fuzzy, and robust optimization techniques. His recent studies address challenges like carbon cap-and-trade, supply chain disruption during pandemics, and sustainable decision-making models. He is also intrigued by approximation algorithms and metaheuristics in large-scale supply chain systems.

🏆 Awards & Recognition

Dr. Mirzaee was entrusted with leadership as President of the Iranian Students’ Council at the University of Saskatchewan (2020–2021), where he organized cultural and academic events. As a respected peer reviewer for journals like Computers & Industrial Engineering and Maritime Policy & Management, he has been acknowledged for his constructive insights and contributions to academic quality enhancement.

📚 Publication Top Notes

 A preemptive fuzzy goal programming model for generalized supplier selection and order allocation with incremental discount. Computers & Industrial Engineering,

A robust optimization model for green supplier selection and order allocation in a closed-loop supply chain considering cap-and-trade mechanism.

 A three-player game theory model for carbon cap-and-trade mechanism with stochastic parameters. 

Resilient green supply chain design to mitigate the ripple effect: A two-stage stochastic optimization model (To be submitted)

Sustainable Entrepreneurship: A Systematic Review and Call for Pivoting toward SDGs

An evolutionary game theory model to solve the conflicts between cap-and-trade — In preparation