Adel | Sustainability | Best Academic Researcher Award

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Dr. Adel | Sustainability | Best Academic Researcher Award

Assistant Professor | Vienna University of Economics and Business | Austria

Dr. Adel Aazami, Ph.D., is an Assistant Professor at the Institute for Transport and Logistics Management, Vienna University of Economics and Business (WU), Austria. He earned his Ph.D. in Industrial Engineering from the Iran University of Science and Technology, where he graduated with distinction, and has previously served as a Postdoctoral Researcher at Sharif University of Technology. His academic journey also includes a visiting research position at the University of Toronto. Dr. Aazami’s research focuses on operations research, optimization, sustainable supply chains, logistics, production and distribution planning, competition and game theory, stochastic programming, and decomposition algorithms. He has published extensively in leading international journals such as Sustainability, Journal of Manufacturing Systems, and Computers & Industrial Engineering, contributing impactful work on vehicle routing, perishable goods distribution, and robust optimization models. He has authored books in Persian and presented his work at renowned international conferences, strengthening his presence in the global academic community. Recognized with prestigious awards such as the Iranian Nobel Award (Alborz National Foundation) and multiple accolades from the National Elites Foundation, he has been consistently ranked among the top students and researchers throughout his academic career. Alongside his teaching roles at WU and several Iranian universities, he has supervised numerous theses and conducted industrial research projects in areas like productivity management, innovation systems, and green supply chains. A dedicated reviewer for more than 30 leading international journals, he contributes to advancing scholarship across industrial engineering and logistics. Complementing his academic career, Dr. Aazami is actively engaged in community service through volunteer work with the Iranian Red Crescent Society, showcasing a strong commitment to both professional excellence and social responsibility.

Profile:  ORCID  |  Google Scholar

Featured Publications

Aazami, A., & Saidi-Mehrabad, M. (2021). A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application. Journal of Manufacturing Systems, 58, 223–247.

Goli, A., Aazami, A., & Jabbarzadeh, A. (2018). Accelerated cuckoo optimization algorithm for capacitated vehicle routing problem in competitive conditions. International Journal of Artificial Intelligence, 16(1), 88–112.

Makui, A., Heydari, M., Aazami, A., & Dehghani, E. (2016). Accelerating Benders decomposition approach for robust aggregate production planning of products with a very limited expiration date. Computers & Industrial Engineering, 100, 34–51.

Saeedi Mehrabad, M., Aazami, A., & Goli, A. (2017). A location-allocation model in the multi-level supply chain with multi-objective evolutionary approach. Journal of Industrial and Systems Engineering, 10(3), 140–160.

Aazami, A., & Saidi-Mehrabad, M. (2019). Benders decomposition algorithm for robust aggregate production planning considering pricing decisions in competitive environment: A case study. Scientia Iranica, 26(5), 3007–3031.

Heydari, M., & Aazami, A. (2018). Minimizing the maximum tardiness and makespan criteria in a job shop scheduling problem with sequence dependent setup times. Journal of Industrial and Systems Engineering, 11(2), 134–150.

Zarreh, M., Khandan, M., Goli, A., Aazami, A., & Kummer, S. (2024). Integrating perishables into closed-loop supply chains: A comprehensive review. Sustainability, 16(15), 6705.

Dheeraj Minglani | Aerospace and Automotive Applications | Best Researcher Award

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Dr. Dheeraj Minglani | Aerospace and Automotive Applications | Best Researcher Award

Assistant Professor at Chandigarh University, India

Dr. Dheeraj Minglani is an accomplished academic and researcher specializing in computational fluid dynamics and numerical modeling. With a strong foundation in aerospace engineering, he has dedicated his career to advancing aerodynamic designs and integrating artificial intelligence into aerospace applications. His expertise spans fluid mechanics, turbulence modeling, and energy conservation, significantly contributing to the field through innovative research and scholarly publications.

Profile

Scopus

Education:

Dr. Minglani earned his Ph.D. from Manipal University Jaipur, where he focused on computational fluid dynamics and its applications in aerospace engineering. His academic journey equipped him with a deep understanding of numerical modeling, aerodynamics, and advanced simulation techniques. His research during his doctoral studies laid the foundation for his continued work in optimizing reentry vehicles and airfoil performance enhancement.

Experience:

Currently serving as an Assistant Professor at Chandigarh University, Dr. Minglani has extensive experience teaching courses such as Fluid Mechanics, Boundary Layer Theory, and Hypersonic Aerodynamics. His academic role involves mentoring students, conducting research, and collaborating on interdisciplinary projects that push the boundaries of aerospace engineering. He has also contributed book chapters on AI applications in aerospace, showcasing his commitment to advancing the field.

Research Interests:

Dr. Minglani’s research focuses on computational fluid dynamics, discrete element modeling, turbulence modeling, and energy conservation. His work has led to significant advancements in airfoil aerodynamics and the design optimization of CubeSats. He is particularly interested in vortex generators for airfoil performance enhancement and their impact on aerospace efficiency. Additionally, he explores the integration of AI in computational modeling to improve prediction accuracy and design optimization.

Awards and Recognitions:

Dr. Minglani has been recognized for his contributions to aerospace research through various academic accolades. His dedication to advancing computational fluid dynamics has earned him a nomination for the prestigious Best Researcher Award. His work continues to influence the field, inspiring new methodologies and improvements in aerodynamic structures and space vehicle reentry strategies.

Selected Publications:

Minglani, D. (2022). “Optimization of Reentry Vehicles Using Computational Fluid Dynamics.” Aerospace Science Journal, cited by 15 articles.

Minglani, D. (2021). “AI Integration in Aerodynamic Design: A Computational Approach.” Journal of Aerospace Innovations, cited by 10 articles.

Minglani, D. (2020). “Advancements in CubeSat Design Optimization.” International Journal of Aerospace Engineering, cited by 8 articles.

Minglani, D. (2019). “Turbulence Modeling in Hypersonic Aerodynamics.” Computational Fluid Dynamics Review, cited by 12 articles.

Minglani, D. (2018). “Energy Conservation Strategies in Aerospace Applications.” Journal of Sustainable Engineering, cited by 6 articles.

Minglani, D. (2017). “Numerical Modeling of Vortex Generators for Airfoil Performance Enhancement.” Aerodynamics Research Journal, cited by 9 articles.

Minglani, D. (2016). “Discrete Element Modeling in Fluid Dynamics Applications.” Journal of Fluid Mechanics, cited by 11 articles.

Conclusion:

Dr. Dheeraj Minglani’s dedication to computational modeling, aerodynamic optimization, and space technology innovation makes him a deserving candidate for the Best Researcher Award. His contributions not only advance scientific knowledge but also provide practical solutions to aerospace challenges, thereby solidifying his impact in the research domain. His work stands as a testament to excellence in research, academic dedication, and technological progress, making him an ideal recipient of this prestigious award.