Assoc. Prof. Dr. Mahdi Gerdooei | Mechanical Properties of Materials | Best Researcher Award

Assoc. Prof. Dr. Mahdi Gerdooei | Shahrood university of technology | Iran

Dr. Mahdi Gerdooei is an accomplished Associate Professor of Mechanical Engineering at Shahrood University of Technology in Iran. He earned all of his degrees at Amirkabir University of Technology, where he completed his doctoral research on the effects of strain rate on sheet metal formability. Over nearly two decades, he has held leadership and teaching roles, including founding a laboratory focused on metal forming mechanics. His professional journey includes serving as dean of the mechanical engineering faculty and providing industry consulting on coil-spring design and fatigue analysis. A longstanding member of Iran’s manufacturing and mechanical engineering communities, Dr. Gerdooei’s career bridges rigorous academic research and practical industrial application.

Profiles

SCOPUS

ORCID

GOOGLESCHOLAR

Education

Dr. Gerdooei earned his doctoral degree in Mechanical Engineering from Amirkabir University of Technology, where his research delved into theoretical and experimental aspects of strain rate effects on the formability of sheet metals. Building on a strong postgraduate foundation in hot forging process design, his academic trajectory also includes a rigorous undergraduate degree in Mechanical Engineering from the same university—each stage reinforcing his expertise in deformation mechanics and advanced manufacturing methods.

Professional Experience

Dr. Gerdooei’s professional journey seamlessly integrates academic leadership and industry engagement. He established and directs a specialized Laboratory for Mechanics of Materials and Metal Forming at his university, serving both scientific and industrial communities. As Dean of the Faculty of Mechanical Engineering, he guided academic development and strategic initiatives. Recently, he has extended his expertise to industry by consulting for a spring design and manufacturing company, contributing to vehicle spring design and fatigue analysis, while simultaneously leading process development for new engineering products.

Research Interests

Dr. Gerdooei’s research interests are rooted in advanced forming processes, including bulk and sheet metal forming, and extend to spring design, biomaterial manufacturing, and structural failure analysis. He is particularly drawn to biomaterial production for dental implants and the design of springs from novel materials. Fatigue and failure of structures are studied using both macroscopic and micromechanical approaches. His work also engages experimental and numerical methods to explore strain-rate effects and formability across diverse materials.

Award

Dr. Gerdooei has earned recognition through his leadership and scholarly contributions. He founded a research laboratory and guided the mechanical engineering faculty as dean. His membership in national engineering societies reflects his esteemed standing in Iran’s professional community. These accomplishments indicate his significant impact in advancing both academic research and practical engineering applications.

Publication Top Notes

Enhancing plasticity modeling of DC04 steel using strain-dependent Hill 1948 and BBC 2005 yield criteria: a novel 2D-DIC approach to track anisotropy

Journal: International Journal of Solids and Structures
Authors: Shahram Amirabdollahian; Mahdi Gerdooei

Innovative dual-pressure method for T-shaped branch production using elastomeric tools

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Authors: Mirsadegh Akbarian Kuhkheyli; Mahdi Gerdooei; Seyed Vahid Hosseini; Hasan Ghafourian Nosrati

Rubber mandrel and internal pressure effects on thin-walled tube bending: a comparative study

Journal: The International Journal of Advanced Manufacturing Technology
Authors: Majid Askari Sayar; Mahdi Gerdooei; Hamidreza Eipakchi; Hasan Ghafourian Nosrati

Analytical approach to investigate the effects of through-thickness stress on springback in bending of isotropic sheet metal

Journal: The International Journal of Advanced Manufacturing Technology
Authors: Mohammad Reza Movahedi; Mahdi Gerdooei

Implementation of the extended maximum force criterion (EMFC) for evaluating the pressure-dependent forming limit diagrams (PD-FLD) in the tube bulging process

Journal: The International Journal of Advanced Manufacturing Technology
Authors: Iman Abbasi; Mahdi Gerdooei; Hasan Ghafourian Nosrati

Conclusion

Dr. Mahdi Gerdooei exemplifies a professional who melds academic rigor with industrial relevance. His deep expertise in mechanical engineering—especially metal forming, plasticity, and biomaterials—complements his roles as educator, researcher, and consultant. His leadership in establishing a materials and forming lab and steering academic programs reflects his commitment to innovation and collaboration. Through his scholarly output and engagement with industry, Dr. Gerdooei continues to drive forward both theoretical development and practical engineering solutions.

Prof Christos Bouras | Material Science | Best Researcher Award

Christos Bouras is a Professor in the Department of Computer Engineering and Informatics and currently serves as the Rector of the University of Patras. He holds a Diploma and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on 5G and beyond networks, network performance, telematics, wireless communications, and e-learning technologies. He has extensive academic and administrative experience, including leadership roles in national research institutes and university governance. He is also an Honorary Professor at Singuan Agriculture University in China and a member of IEEE and ACM.

Prof. Christos Bouras, University of Patras, Greece

Profile

SCOPUS

🎓 Education

Professor Christos Bouras holds both his undergraduate and doctoral degrees from the University of Patras in Greece. He earned his Diploma in Computer Engineering and Informatics from the School of Engineering, Department of Computer Engineering and Informatics. He continued his academic journey at the same institution, completing his PhD in Computer Engineering and Informatics . His education laid a strong foundation in advanced computing and networking systems, which became the cornerstone of his academic and research career.

💼 Experience

Professor Bouras has had a distinguished career at the University of Patras and beyond. He began his professional journer as an Associate Researcher at the Computer Technology Institute (CTI). Concurrently, he was an Associate Researcher at the University of Patras. he also worked as an Associate Researcher at the Biomedical Institute. He led the Telematics and New Services division at EXPERTNET Ltd. He later served as Supervisor of Research Unit 1 at CTI. He has been the Scientific Supervisor of Research Unit 6 at CTI and Press “Diophantus.” He was Director of the Networking Technology Sector at CTI and a member of its Board of Directors. Within the University of Patras, Professor Bouras has held multiple leadership roles.He was Director of Postgraduate Studies in the Department of Computer Engineering and Informatics. He served on the Research Committe and was its Vice President he was Vice Rector responsible for Economic Planning and Project Implementation and simultaneously held the position of Vice President of the University’s Property Management Company. He also served as CEO of the same company.He has been serving as the Rector of the University of Patras and President of its Property Utilization and Management Company.

🛠️ Contributions

Professor Christos Bouras has contributed extensively to the advancement of 5G and next-generation wireless networks, particularly in areas such as network performance analysis, dynamic resource allocation, and DUDe (Downlink/Uplink Decoupling) techniques. He has played a pivotal role in integrating telematics and e-learning technologies to improve digital education systems. His academic work includes over 400 publications in high-impact journals and conferences, shaping the future of internet architectures and communication protocols. As a university leader and international collaborator, he has also contributed to the global discourse on smart infrastructure and digital transformation.

📡 Research Projects

Professor Christos Bouras has led and participated in numerous national and EU-funded research projects, particularly in Horizon and FP7 programs. His projects include work on 5G-PPP initiatives focusing on ultra-reliable and low-latency communication, network slicing, and mmWave technologies. He has also coordinated projects on smart cities and e-learning platforms, such as “WiCCES” (Wireless Infrastructure for Smart Campuses) and “ODISEE” (Open Distributed Intelligent Systems for E-learning Environments). His research consistently bridges academic innovation and real-world telecom and education applications

🔬 Research Focus

Professor Bouras’s research spans a wide range of topics in computer science and engineering. His primary interests include 5G and beyond networks, performance analysis of networking and computer systems, and mobile and wireless communications. He is also deeply involved in research on telematics and the development of new network services, quality of service (QoS) provisioning and pricing in modern communication networks, e-learning platforms, and networked virtual environments. Additionally, he explores technical and social aspects of the World Wide Web, with a focus on how networking technologies impact society and education.

📘 Publications

Pearson Coefficient Enhanced Multi-Branch Joint Attention Network and Adaptive Decomposition Based Dual Adaptive Fault Diagnosis Scheme for Rolling Bearing

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing
📅 Year: 2025
📌 Overview: This paper presents a novel dual adaptive fault diagnosis framework leveraging Pearson correlation coefficients and a joint attention mechanism, significantly improving the accuracy of bearing fault detection under complex conditions.
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Multiscale Attention Feature Fusion Network for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing

📅 Year: 2024
📌 Overview: This study introduces a multiscale attention-based deep learning model that enhances feature fusion and generalization in rolling bearing fault diagnosis, particularly effective under varying speed scenarios.
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Mahdi Gerdooei | Mechanical Properties of Materials | Best Researcher Award