Christine Wowerath | Strategy | Excellence in Research Award

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Mrs. Christine Wowerath | Strategy | Excellence in Research Award 

Research Assistant  & PhD Candidate | University of Innsbruck | Austria

Mrs. Christine Wowerath is a distinguished professional and researcher recognized for her significant contributions to strategic management and business strategy, demonstrating a strong academic orientation combined with applied leadership experience across international contexts. Her education has provided a solid foundation in analytical thinking, strategic planning, and organizational development, enabling her to approach complex business challenges with clarity and rigor. Professionally, Mrs. Christine Wowerath has held progressive roles involving research leadership, strategic advisory responsibilities.
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Featured Publications

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.

 

Reza Khalili | Strategic Decision-Making | Best Researcher Award

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Mr. Reza Khalili | Strategic Decision-Making | Best Researcher Award 

Research Assistant at Stony Brook University | United States 

Mr. Reza Khalili is a graduate student in Electrical and Computer Engineering at Stony Brook University, where he is pursuing a Ph.D. in Electrical Engineering with a strong academic record. His educational background also includes a master’s degree in Electrical Engineering from Amirkabir University of Technology and a bachelor’s degree in Electrical Engineering from the University of Isfahan. His research primarily focuses on power systems optimization, renewable energy integration, electricity markets, and the application of advanced computational and machine learning methods in energy systems. His scholarly impact is reflected in 81 citations across 78 documents, with 6 publications and an h-index of 4. Khalili has contributed to several peer-reviewed journals and conferences, publishing impactful works on topics such as robust multi-objective optimization for electricity markets, socio-economic energy hub design, peer-to-peer energy trading, and uncertainty management in renewable energy integration. His co-authored works have appeared in respected journals including Applied Energy, Journal of Energy Storage, and Energy & Buildings, and he has contributed a book chapter published by Taylor & Francis. His conference papers include research on security-constrained optimal power flow and distribution network resilience, one of which was recognized as a best paper finalist at IEEE SmartGridComm. In his academic career, Khalili has gained valuable research experience as a graduate research assistant, working on advanced optimization techniques, contingency prediction in power systems, and uncertainty quantification methods.

Profiles : Scopus | ORCID | Google Scholar 

Featured Publications: 

Khalili, R., Khaledi, A., Marzband, M., Nematollahi, A. F., Vahidi, B., & Siano, P. (2023). Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs. Applied Energy, 334, 120737.

Darvishi, A., Ranjbar, B., Gharibi, R., Khalili, R., & Dashti, R. (2024). Multi-objective optimization of a socio-economic energy hub with demand response program and considering customer satisfaction. Journal of Energy Storage, 100, 113624.

Gharibi, R., Khalili, R., Vahidi, B., Nematollahi, A. F., Dashti, R., & Marzband, M. (2025). Enhancing energy hub performance: A comprehensive model for efficient integration of hydrogen energy and renewable sources with advanced uncertainty management strategies. Journal of Energy Storage, 107, 114948.

Gharibi, H., Gharibi, R., Khalili, R., Dashti, R., Marzband, M., & Rawa, M. (2025). Optimizing multi-objective peer-to-peer energy trading in green homes: Robust strategies to address non-probabilistic uncertainty using IGDT with integrated demand response. Energy and Buildings, 116435.

Gharibi, R., Vahidi, B., Dashti, R., & Khalili, R. (n.d.). From electrons to solutions: Power-to-X strategies for energy systems integration. In Power-to-X in regional energy systems (pp. 201–227). Taylor & Francis.

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

Mr. Al-Amin Al-Amin | Strategic Planning | Best Researcher Award

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Mr. Al-Amin Al-Amin | Strategic Planning | Best Researcher Award

Mr. Al-Amin Al-Amin, Murdoch University, Australia

Al-Amin is a dynamic and driven PhD candidate at the Discipline of Energy and Engineering, Murdoch University, Australia. With over eight years of robust experience in research and academia, he specializes in electrical power systems, particularly focusing on the integration of electric vehicles and renewable energy technologies. Known for his commitment to education and innovation, Al-Amin has served in multiple teaching and research roles both in Australia and Bangladesh, establishing himself as a knowledgeable and effective educator and researcher in sustainable energy systems.

Profile

Scopus

Orcid

🎓 Education

Al-Amin is currently pursuing his PhD at Murdoch University, where his research focuses on reactive and active power management with large-scale electric vehicle integration to improve power system stability. He holds a Master of Science in Renewable Energy Technology (CGPA: 3.91/4.00) from the University of Dhaka and a Bachelor of Science in Electrical and Electronic Engineering (CGPA: 3.89/4.00) from United International University, Bangladesh. His academic journey is further enriched by training in biomass technology and solid academic performance in secondary and higher secondary education.

🏫 Experience

Al-Amin has built an impressive academic portfolio with teaching roles in five institutions across two countries. Currently, he is a lecturer at South Metropolitan TAFE and a casual academic at Murdoch University. Previously, he served as a lecturer at City University and Metropolitan University in Bangladesh and as a course instructor at United International University. His teaching spans a wide range of topics, including power systems, renewable energy, and electronics, often combining theoretical instruction with hands-on lab supervision and student mentoring.

🔬 Research Interests

Al-Amin’s research interests lie at the intersection of electric power systems, electric vehicle integration, renewable energy modeling, and smart grid applications. He has a strong passion for addressing energy challenges through advanced simulation tools like MATLAB/SIMULINK, DigSilent, HOMER, RETScreen, and SAM. His focus on grid stability and green energy aligns closely with global sustainability goals, making his work both timely and impactful.

🏆 Awards

🎓 Al-Amin has been honored with the International Tuition Fee Scholarship from Murdoch University. He also won the Future Leaders Program (FLP), Season 03 (2015), organized by Channel-i Bangladesh and Future Leaders Ltd, UK. His undergraduate performance earned him the prestigious magna cum laude distinction and a 100% tuition fee scholarship, reflecting his consistent academic excellence.

📚 Publication Top Notes

Grid Integration of EV: A Review on Stakeholder’s Objectives, Challenges, and Strategic Implications, e-Prime – Advances in Electrical Engineering, Electronics and Energy,

Agrivoltaics System for Sustainable Agriculture and Green Energy in Bangladesh, Applied Energy,

Design of a Solar PV based Hybrid AC Mini Grid System with Load Dispatch Centre for an Off-grid Area of Bangladesh, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering,

An Efficient and Feasible Solar Irrigation System Including AC Mini-Grid Designed for Bangladeshi Agriculture, International Journal of Scientific and Engineering Research.

A Study on the Present Scenario of Solar Irrigation in Bangladesh, International Journal of Scientific and Engineering Research,