Ivan Marović | Strategic Decision-Making | Best Researcher Award

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Prof. Ivan Marović | Strategic Decision-Making | Best Researcher Award 

Professor at University of Rijeka | Croatia 

Prof. Ivan Marović is a Professor at the University of Rijeka, Faculty of Civil Engineering, with over two decades of academic experience progressing from research assistant to full professorship. His research focuses on Project Management in civil engineering, emphasizing management information systems, multi-criteria decision analysis, and soft computing methods. He has led and contributed to numerous research projects addressing sustainable management of urban areas, adaptation of coastal structures to climate change, and performance management of construction projects using artificial intelligence and soft computing approaches. His work has resulted in 458 citations across 404 documents, with an h-index of 13. Marović has received multiple awards for his scientific contributions, including recognition for the best doctoral thesis in civil engineering, honors from the Croatian Academy of Technical Sciences, and a Global Peer Review Award for top-ranked reviewers in environmental and cross-field research. He has also been acknowledged for innovation and knowledge transfer with national awards and a silver medal at an international innovation exhibition. He has actively collaborated with leading universities and research institutions in Croatia and internationally, contributing to both academia and industry. Marović has published extensively in indexed journals, authored book chapters, and served as guest editor for special issues in reputable journals, while also participating in the scientific committees of numerous international conferences. An accomplished educator, he has mentored over 45 bachelor and master’s theses and supervised one doctoral thesis, earning multiple teaching awards. He is an active member of professional associations in construction management and operational research, promoting interdisciplinary research, industry collaboration, and sustainable practices in civil engineering.

Profiles : Scopus | ORCID | Google Scholar | Linked In 

Featured Publications : 

Ružić, I., Marović, I., Benac, Č., & Ilić, S. (2014). Coastal cliff geometry derived from structure-from-motion photogrammetry at Stara Baška, Krk Island, Croatia. Geo-Marine Letters, 34(6), 555–565.

Marović, I., Perić, M., & Hanák, T. (2021). A multi-criteria decision support concept for selecting the optimal contractor. Applied Sciences, 11(4), 1660.

Jajac, N., Knezic, S., & Marović, I. (2009). Decision support system to urban infrastructure maintenance management. Organization, Technology & Management in Construction: An International Journal.

Marović, I., Androjić, I., Jajac, N., & Hanák, T. (2018). Urban road infrastructure maintenance planning with application of neural networks. Complexity, 2018(1), 5160417.

Hanák, T., Marović, I., & Aigel, P. (2015). Perception of residential environment in cities: A comparative study. Procedia Engineering, 117, 495–501.

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