Zain Ijaz | Resilient Infrastructure | Best Researcher Award

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Dr. Zain Ijaz | Resilient Infrastructure | Best Researcher Award

Post Doctorate Researcher | Tongji University | China

Zain Ijaz is a Postdoctoral Researcher in Civil Engineering at Tongji University, specializing in geotechnical engineering with a strong focus on sustainable and resilient infrastructure. He has extensive professional experience as a laboratory engineer and lecturer, contributing to teaching, supervision, and applied geotechnical testing while supporting academic leadership and research initiatives. His research centers on soil behavior, ground improvement, geospatial modeling, rock mechanics, and machine learning–driven prediction of geotechnical parameters, with substantial contributions through high-impact journal publications, conference papers, and a scholarly book chapter. He actively collaborates with leading international institutions and serves as a peer reviewer for reputed scientific journals. His academic excellence has been recognized through competitive research scholarships, merit-based distinctions, and recognition among top doctoral researchers, and his research impact includes 1,055 citations 29 publications, and an h-index of 17.

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Featured Publications

Alireza Toloukian | Building Construction Technology | Editorial Board Member

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Assist. Prof. Dr. Alireza Toloukian | Building Construction Technology | Editorial Board Member

Professor | Iran University of Science and Technology | Iran

Dr. Ali Reza Tolou Kian, Assistant Professor of Rail Structure and Track Engineering at the Iran University of Science and Technology, is a specialist in railway track mechanics whose expertise encompasses ballast behavior, sleeper performance, rail corrugation detection, vibration attenuation, and structural connections. His professional background includes university-level teaching, research leadership, and prior experience assisting in construction project management, supported by advanced skills in experimental modal analysis, geotechnical and structural testing, and numerical modeling using FEM-based platforms. Dr. Tolou Kian has made substantial contributions to railway engineering through studies on sand-contaminated ballast, dynamic sleeper behavior, tire-derived aggregate applications, geogrid-reinforced ballast, and large-scale direct shear performance, resulting in numerous publications in high-impact international journals. He has supervised several graduate theses focused on rail corrugation monitoring, structural health assessment, ballast contamination effects, and vibration control, demonstrating strong academic mentorship. His professional activities include membership in the Tehran Construction Engineering Organization, reviewing for multiple international journals and conferences, and contributing to the design and development of specialized laboratory equipment. His research impact includes 310 citations, 13 publications, and an h-index of 10.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Sadeghi J., Toloukian A., Zarei M.A., Khani N., Improvement of ballast behavior by inclusion of tire-derived aggregates with optimum size. Constr. Build. Mater., 2025, 458, 139530.

Sadeghi J., Kian A.R.T., Ghiasinejad H., Moqaddam M.F., Motevalli S., Effectiveness of geogrid reinforcement in improvement of mechanical behavior of sand-contaminated ballast. Geotext. Geomembr., 2020, 48(6), 768–779.

Tolou Kian A.R., Sadeghi J., Zakeri J.A., Large-scale direct shear tests on sand-contaminated ballast. Geotech. Eng., 2018, 171(5), 451–461.

Sadeghi J., Tolou Kian A.R., Shater Khabbazi A., Improvement of mechanical properties of railway track concrete sleepers using steel fibers. J. Mater. Civ. Eng., 2016, 28(11), 04016131.

Tolou Kian A.R., Sadeghi J., Zakeri J.A., Influences of railway ballast sand contamination on loading pattern of pre-stressed concrete sleeper. Constr. Build. Mater., 2020, 233.

Dr. Ali Reza Tolou Kian’s research advances the safety, resilience, and sustainability of railway infrastructure through innovative improvements in ballast behavior, sleeper performance, and track vibration mitigation. His work bridges scientific rigor with industry needs, delivering practical solutions that enhance railway durability, reduce maintenance costs, and support modern transportation development. He envisions railway systems that are smarter, more efficient, and engineered through data-driven experimentation and advanced material technologies.

Pardis Roozkhosh | Resilient Infrastructure | Best Researcher Award

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Dr. Pardis Roozkhosh | Resilient Infrastructure | Best Researcher Award

Postdoc Researcher | Universidad Catolica del Norte | Chile

Dr. Pardis Roozkhosh is an accomplished scholar and educator in Industrial Management and Operations Research at Ferdowsi University of Mashhad, renowned for her expertise in supply chain optimization, additive manufacturing, machine learning, and system dynamics. Her professional experience includes teaching at several universities and contributing to high-impact research projects such as logistics optimization in Razavi Khorasan and agrovoltaic modeling with the University of Sydney. Dr. Roozkhosh’s research focuses on developing resilient, sustainable, and data-driven supply chain models, integrating AI, blockchain, and IoT technologies to enhance operational efficiency and decision-making under uncertainty. She has published extensively in prestigious international journals, including Applied Soft Computing, Operations Management Research, and Quality and Reliability Engineering International, with significant contributions to multi objective optimization, reliability analysis, and sustainability modeling. A recipient of the Alborz Prize (Iran’s oldest national science award) and recognized among the top young scientific talents in her province, Dr. Roozkhosh also serves as Executive Assistant at the Journal of Systems Thinking in Practice and as a reviewer for leading journals such as Expert Systems with Applications, IEEE Access, and Scientific Reports. Her academic excellence, interdisciplinary approach, and leadership in research and education position her as a promising contributor to advancing sustainable industrial and supply chain systems globally. Her research impact includes 250 citations, 21 publications, and an h-index of 9.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Roozkhosh P., Modares A., Emroozi V.B., Modares A., A Bayesian best-worst approach with blockchain integration for optimizing supply chain efficiency through supplier selection. Supply Chain Analytics, 2025, 9, 100100.

2. Mousavi S.S., Pooya A., Roozkhosh P., Pakdaman M., A new bi-objective simultaneous model for timetabling and scheduling public bus transportation. Opsearch, 2025, 62 (1), 198–229.

3. Ganjloo A., Motahari Farimani N., Rezaee Nik E., Roozkhosh P., A new fuzzy multi-objective model for selecting capital projects in the public sector. Journal of Industrial and Systems Engineering, 2023, 14 (4), 210–233.

4. Saghih P.R.A.M.F., A new method to optimize the reliability of repairable components with a switching mechanism and considering costs and weight uncertainty. International Journal of Industrial Engineering, 2024, 35 (3), 1–24.

5. Roozkhosh P., Bafandegan Emroozi V., Modares A., A new model to design a product under redundancy allocation problem and MCDM. International Journal of System Assurance Engineering and Management, 2025, 16 (1), Accepted.

Dr. Pardis Roozkhosh’s research advances sustainable industrial systems by integrating artificial intelligence, blockchain, and optimization modeling to enhance supply chain resilience and decision-making under uncertainty. Her innovative approaches bridge science and industry, driving global progress toward smarter, more efficient, and environmentally responsible operations.

Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

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Mrs. Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

Full-time Faculty Member at Islamic Azad University, Iran.

Maryam Sadeghi is an accomplished researcher and faculty member in Electrical Engineering, specializing in smart grids, distributed control, and intelligent energy systems. She has served as a full-time instructor at the Islamic Azad University, Islamshahr Branch, where she has also chaired the Power Engineering Department. Over the years, she has successfully combined teaching, supervision, and leadership with impactful research contributions. As a PhD candidate at the Iran University of Science and Technology, her doctoral work has advanced the field of power systems with an emphasis on adaptive and intelligent control. Beyond academia, she has actively collaborated with national research and industrial centers, particularly in areas such as SCADA applications, FPGA development, and distributed automation. Her career demonstrates a consistent focus on renewable energy integration, intelligent universal transformers, and advanced automation, positioning her as a thought leader in the evolving landscape of modern electrical engineering.

Professional Profile

Google Scholar

Education

Maryam Sadeghi’s educational background reflects a strong and progressive journey through electrical engineering disciplines. She earned her B.Sc. in Electrical Engineering with a focus on Electronics from the Islamic Azad University, Tehran Central Branch. She further specialized in Control Systems at the M.Sc. level from Islamic Azad University, Tehran South Branch, where she explored adaptive control methodologies. To expand her expertise in the energy sector, she pursued doctoral studies in Electrical Engineering with a specialization in Power Systems at the Iran University of Science and Technology. Her PhD research, with defense approved, focuses on advanced power system automation and intelligent control strategies, including adaptive neuro-fuzzy inference systems and multi-agent approaches for smart grids. Through this academic journey, she has built deep expertise in intelligent systems, renewable integration, and distributed energy automation, forming the backbone of her subsequent teaching, research, and industry collaborations in both traditional and emerging power engineering domains.

Experience 

Maryam Sadeghi has built a multifaceted career blending academia, research, and industry collaboration.  She has been a full-time faculty member at the Islamic Azad University, Islamshahr Branch, teaching undergraduate and graduate courses in power systems and control. As Head of the Power Engineering Department for four years, she led curriculum development, faculty coordination, and student mentorship. Her industry-linked research experience includes a decade as Senior Researcher at Novin Ray Control Co., where she worked on solar energy monitoring, SCADA systems, and energy management integration. She has also contributed to telecommunication research through FPGA-based SDH system design, and to control systems development in distributed automation protocols, particularly IEC 61499. These roles reflect her ability to connect theoretical knowledge with practical applications. Her experience across teaching, applied research, and leadership showcases her as a versatile expert committed to advancing both education and innovation in intelligent energy systems.

Research Focus

Maryam Sadeghi’s research is centered on intelligent power systems, with a focus on adaptive control, fuzzy logic, and distributed automation for modern grids. Her work on Intelligent Universal Transformers (IUTs) has introduced innovative control methodologies using fuzzy logic, artificial neural networks, and genetic algorithms to optimize distribution automation. She has also contributed to decentralized multi-agent coordination frameworks for smart distribution restoration, enabling resilience and flexibility in power networks. Her studies in renewable energy integration—particularly inverter-based distributed generation and wind turbine inverters—highlight her commitment to sustainable energy solutions. Additionally, she has advanced methodologies in GPS-based time synchronization and IEC 61499-based distributed control systems. By combining advanced algorithms with real-world applications such as SCADA and EMS, she bridges the gap between theory and practice. Her research trajectory demonstrates a consistent pursuit of scalable, adaptive, and intelligent solutions for next-generation power grids within the context of smart cities and sustainable development.

Awards and Honors

Maryam Sadeghi has received recognition for her academic and research contributions at both institutional and national levels. She has been nominated for the ARCH Best Researcher Award, reflecting her impactful body of work in power systems and control. Her multiple ISI-indexed publications in smart grids, intelligent automation, and renewable energy integration demonstrate her influence in advancing knowledge in her field. As a contributor to national research centers in Iran, she has played a significant role in developing and implementing control solutions aligned with national energy and telecommunication priorities. Her leadership as Head of the Power Engineering Department also underscores her recognition as an academic mentor and innovator. The combination of research excellence, teaching distinction, and industrial collaboration has positioned her as a respected figure within the engineering community. These honors highlight her dedication to advancing intelligent energy solutions and promoting the integration of innovative methodologies into modern power systems.

Publication Top Notes

Title: Time Synchronizing Signal by GPS Satellites
Authors: M. Sadeghi, M. Gholami
Summary: This paper simulates GPS-based synchronization in MATLAB to achieve high-precision timing. It highlights GPS as a reliable solution for communications and distributed automation systems.

Title: Fuzzy Logic Approach in Controlling the Grid Interactive Inverters of Wind Turbines
Authors: M. Sadeghi, M. Gholami
Summary: The study applies fuzzy logic to enhance grid-connected wind turbine inverter performance. Results show improved stability and efficiency under varying wind conditions.

Title: Advanced Control Methodology for Intelligent Universal Transformers Based on Fuzzy Logic Controllers
Authors: M. Sadeghi, M. Gholami
Summary: The authors propose fuzzy logic controllers for Intelligent Universal Transformers (IUTs). The approach improves adaptability and response in advanced distribution automation.

Title: A Novel Distribution Automation Involving Intelligent Electronic Devices as IUT
Authors: M. Sadeghi, M. Gholami
Summary: This paper presents IUTs as intelligent devices for distribution automation. It demonstrates improved grid reliability and fault management.

Title: Fully Decentralized Multi-Agent Coordination Scheme in Smart Distribution Restoration: Multilevel Consensus
Authors: M. Sadeghi, M. Kalantar
Summary: The research introduces a decentralized multi-agent consensus method for smart distribution restoration. It enhances system resilience and scalability without central control.

Title: Developing Adaptive Neuro-Fuzzy Inference System for Controlling the Intelligent Universal Transformers in ADA
Authors: M. Sadeghi, M. Gholami
Summary: An ANFIS-based controller is developed for IUTs to improve adaptability and precision. The hybrid method outperforms conventional control strategies.

Title: Genetic Algorithm Optimization Methodology for PWM Inverters of Intelligent Universal Transformer for the Advanced Distribution Automation of Future
Authors: M. Sadeghi, M. Gholami
Summary: The study uses genetic algorithms to optimize PWM inverters in IUTs. It reduces harmonic distortion and improves inverter efficiency.

Title: Optimized Control Strategy to Adjust the Intelligent Universal Transformer for Integrating Distributed Resources to Grid
Authors: M. Sadeghi, M. Gholami
Summary: This work introduces an optimized control strategy for IUTs to integrate distributed energy resources. It ensures stable and flexible grid operations.

Conclusion

Overall, Maryam Sadeghi is a strong candidate for the Best Researcher Award. Her research reflects both depth and breadth in intelligent power systems, with practical applications that align with the future of energy distribution and smart grid technologies. With her combination of academic leadership, teaching excellence, and impactful research, she demonstrates qualities that merit recognition. By expanding her international reach and enhancing visibility through broader collaborations and higher-impact publications, she can further solidify her position as a leading researcher in her domain.