Yashar Salami | Transportation Engineering | Young Scientist Award

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Assist. Prof. Dr. Yashar Salami | Transportation Engineering | Young Scientist Award

Assistant Professor | kapadokya university | Turkey

Assist. Prof. Dr. Yashar Salami is an accomplished researcher and academic in the field of cybersecurity and network engineering, recognized for his innovative contributions to secure communication technologies. He completed his Ph.D. in Computer Engineering with a specialization in Networking at Islamic Azad University, Qazvin Branch, where he became the institution’s first graduate in this specialization and earned a perfect dissertation score for his groundbreaking E3C software, the first tool globally to automatically analyze computational and communication complexity in authentication protocols. He subsequently completed a Postdoctoral Fellowship focused on enhancing the security of blockchain-based systems in fog and cloud environments. Dr. Salami has established a strong publication record, including research in high-impact journals such as Nature Scientific Reports, Springer, IEEE, Wiley, and Hindawi. His work has received significant scholarly attention, accumulating over 100 citations with notable h-index and i10-index achievements. Two of his journal articles were among the most visited works in their respective outlets, reflecting global interest in his research. He has also contributed to literature development through book authorship and translations in information security. His research expertise includes secure authentication mechanisms, cryptographic key-exchange protocols, secure offloading techniques for IoT and vehicular systems, fog and cloud security, blockchain-IoT integration, and metaheuristic optimization algorithms—fields critical to modern cybersecurity challenges. In academia, Dr. Salami serves as an Assistant Professor of Information Security at Cappadocia University, Turkey, and Visiting Lecturer at Khazar University, Baku, contributing to advanced teaching and student mentorship. He has completed more than 80 peer reviews for indexed journals and is an editorial board member for leading cybersecurity and web technology journals, further demonstrating his commitment to academic excellence. Driven by passion for innovation, Dr. Salami continues to expand the impact of secure digital systems, aiming to strengthen global cybersecurity resilience while shaping the next generation of information security professionals.

Research Profiles: ORCID | Google Scholar
Publications

Salami, Y., Khajevand, V., & Zeinali, E. (2023). Cryptographic algorithms: A review of the literature, weaknesses and open challenges. J. Comput. Robot, 16(2), 46–56.

Salami, Y., Khajehvand, V., & Zeinali, E. (2024). SOS-FCI: A secure offloading scheme in fog–cloud-based IoT. The Journal of Supercomputing, 80(1), 570–600.

Salami, Y., Khajehvand, V., & Zeinali, E. (2023). SAIFC: A secure authentication scheme for IOV based on fog–cloud federation. Security and Communication Networks, 2023(1), Article 9143563.

Salami, Y., Ebazadeh, Y., & Khajehvand, V. (2021). CE-SKE: Cost-effective secure key exchange scheme in Fog Federation. Iran Journal of Computer Science, 4(4), 305–317.

Salami, Y., & Khajehvand, V. (2021). LSKE: Lightweight secure key exchange scheme in fog federation. Complexity, 2021(1), Article 4667586.

Salami, Y., Khajehvand, V., & Zeinali, E. (2024). A new secure offloading approach for Internet of Vehicles in fog-cloud federation. Scientific Reports, 14(1), Article 5576.

Kazaryan Ruben Rafaelovich | Road construction | Industry Impact Award

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Kazaryan Ruben Rafaelovich | Road construction | Industry Impact Award

Professor | Moscow State University of Civil Engineering | Russia

Kazaryan Ruben Rafaelovich is a distinguished Professor and Doctor of Technical Sciences at the Department of Technologies and Organization of Construction Production, Moscow State University of Civil Engineering. His extensive academic and research career focuses on the organization, planning, and management of construction and road infrastructure systems, with a strong emphasis on transport modeling, reconstruction, and project management. Kazaryan’s expertise encompasses the development and implementation of innovative technologies for construction production, demolition, and renovation of buildings and structures, integrating modern engineering solutions to enhance construction efficiency and safety. He has made significant contributions to the advancement of anthropotechnical diagnostics, exploring the interaction between humans, technology, and the environment to optimize performance in high-intensity operational settings. His research extends into the interdisciplinary application of physical and chemical biology to better understand human adaptability and functionality under demanding conditions. As a specialist in rule-making and certification processes, he has played a pivotal role in establishing standards for engineering production, automotive technologies, and maintenance systems for machinery and equipment. Kazaryan’s scholarly influence also includes the development of methodologies for reconstructing both stationary and mobile human habitats, contributing to the broader understanding of human adaptive norms in engineered environments. His teaching and mentorship record is notable, having supervised numerous master’s and doctoral theses, guiding the next generation of professionals in construction and civil engineering. Beyond academia, Kazaryan has contributed to cross-cultural scientific communication, serving as the Armenian translator and sponsor of Hans Selye’s seminal work “Stress without distress,” for which he received personal recognition from the author. His research represents a unique synthesis of technical, biological, and human-centered approaches to engineering innovation.

Profile: Scopus
Featured Publications

Contemporary approaches for selecting and evaluating organizational solutions. (2025). Journal of Mechanics of Continua and Mathematical Sciences.

Aspects of aluminum alloy utilization in vertical cylindrical tank construction. (2025). Conference Paper.

Management of energy-efficient technologies of certification system in forestry industry. (2025). Conference Paper.

Service economy strategies for addressing fluoride levels in tea leaves: Insights from science and management. (2024). Fluoride.

System approach of organization methods and ways of road construction mobilization of permanent and temporary roads at construction sites. (2024). Edelweiss Applied Science and Technology.

Farzad Safi Jahanshahi – Transportation Engineering – Best Researcher Award

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Mr. Farzad Safi Jahanshahi | Transportation Engineering | Best Researcher Award

Researcher- Engineer | Sirjan University of Technology | Iran

Mr. Farzad Safi Jahanshahi has built a strong research foundation in civil engineering with a focus on geotechnical and pavement materials. His work emphasizes soil and road layer stabilization, asphalt performance, and sustainable construction practices using industrial by-products such as mine tailings and overburden soil. He has contributed to the development of predictive models for unconfined compressive strength, resilient modulus, and pavement roughness by applying advanced statistical methods, machine learning, and hybrid ensemble learning techniques. Farzad Safi Jahanshahi’s studies highlight the mechanical and durability characteristics of cement-treated soils, magnetite and hematite tailings, and dune sands stabilized with geopolymers, aiming to improve long-term road performance and environmental sustainability. His collaborative works extend into intelligent modeling of geotechnical properties, application of gene expression programming, and development of mechanistic empirical pavement design approaches. Publications cover topics such as RCPT modeling of concrete, bond strength in reinforced concrete systems, and liquefaction-induced displacement prediction, showing broad interdisciplinary applications. He has presented at several national conferences on asphalt, soil stabilization, and pavement technologies, reinforcing practical knowledge transfer. His research experience includes field testing at Golgohar Mine, integrating laboratory findings with real-world construction challenges. Alongside academic contributions, he has professional experience in road construction supervision, micropile installation, and laboratory testing of soils and asphalts. He also contributes as an instructor, teaching geometric road design and related courses, linking research with education. Technical expertise spans MATLAB, Civil 3D, AutoCAD, and laboratory test methods essential for pavement and soil characterization. Farzad Safi Jahanshahi’s scholarly contributions reflect an integration of experimental studies with artificial intelligence, advancing sustainable pavement design and infrastructure engineering. His achievements demonstrate a balance of theoretical modeling, applied experimentation, and industry practice, providing valuable insights for the future of sustainable civil engineering. 53 Citations 11 Documents 5 h-index.

Profile: Scopus | ORCID | Linked In 
Featured Publications:

Ghavami, S., Naseri, H., & Safi Jahanshahi, F. (2025). Enhanced prediction and uncertainty modeling of pavement roughness using machine learning and conformal prediction. Infrastructures, 10(7), 166.

Nouri, Y., Ghanizadeh, A. R., Safi Jahanshahi, F., & Fakharian, P. (2025). Data-driven prediction of axial compression capacity of GFRP-reinforced concrete column using soft computing methods. Journal of Building Engineering, 111831.

Safi Jahanshahi, F., & Ghanizadeh, A. R. (2025). Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings. Scientific Reports, 15, 86978.

Fakharian, P., Nouri, Y., Ghanizadeh, A. R., Safi Jahanshahi, F., Naderpour, H., & Kheyroddin, A. (2024). Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA. Composite Structures, 118532.

Safi Jahanshahi, F., & Ghanizadeh, A. R. (2024). Compressive strength, durability, and resilient modulus of cement-treated magnetite and hematite iron ore tailings as pavement material. Construction and Building Materials, 138076.

Zhe Han | Transportation Engineering | Best Researcher Award

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Zhe Han | Transportation Engineering | The University of Texas at Austin

EARLY ACADEMIC PURSUITS:

Zhe Han's academic journey commenced with early pursuits at The University of Texas at Austin. The specifics of his initial academic undertakings, encompassing educational milestones, research interests, and academic achievements during this formative period, have likely laid the groundwork for his subsequent academic endeavors.

PROFESSIONAL ENDEAVORS:

As Zhe Han transitioned from academia to the professional arena, his endeavors beyond the academic realm shaped his professional identity. Details regarding his roles, projects, and collaborations in the professional domain, particularly at The University of Texas at Austin, contribute to an understanding of his practical applications of academic knowledge.

CONTRIBUTIONS AND RESEARCH FOCUS:

Han's contributions and research focus constitute a crucial aspect of his academic and professional profile. Whether through scholarly publications, involvement in research projects, or advancements in specific domains, understanding the thematic concentration of his contributions provides insights into his academic impact.

NOTABLE PUBLICATION

A methodological procedure for evaluating curve-related misclassifications in motor vehicle crash databases.  

ORICD
Scopus
IMPACT AND INFLUENCE:

Evaluating Zhe Han's impact and influence extends beyond his individual accomplishments. Recognition within the academic community, positive outcomes of his research, and any mentorship roles or collaborative efforts that demonstrate influence collectively contribute to his broader professional footprint.

ACADEMIC CITATIONS:

An indicator of Han's academic influence lies in the number of citations his work has garnered. High citation metrics suggest that his research has made a significant contribution to the academic discourse, with peers and scholars referencing his work in their own research endeavors.

LEGACY:

Zhe Han's legacy is defined by the lasting impact he leaves at The University of Texas at Austin. This encompasses not only his research contributions but also his influence on students, the academic culture, and any initiatives that contribute to the long-term development of the academic institution.

FUTURE CONTRIBUTIONS:

Looking forward, Zhe Han's future contributions may involve continued advancements in research, potential leadership roles, and contributions to the academic community. His trajectory may include the pursuit of novel projects, collaborations, or initiatives that further enhance his standing in academia.