J. Andres Coca-Stefaniak | AI for Urban Planning | Best Researcher Award

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Prof. Dr. J. Andres Coca-Stefaniak | AI for Urban Planning | Best Researcher Award

Professor | University of Greenwich | United Kingdom

Dr. Juan A. Coca-Stefaniak is a Professor of Tourism and Urban Futures at the University of Greenwich, specializing in sustainable tourism, consumer behavior, and the impacts of global crises on travel and hospitality. He holds advanced degrees in business, management, and tourism studies, with a doctoral specialization in urban futures and destination management. Throughout his career, he has held leadership roles in academia and industry, contributing to projects on sustainable urban regeneration, destination branding, and crisis resilience in tourism. His research has advanced understanding of authentic tourism experiences, corporate social responsibility in hospitality, consumer behavior shifts during the COVID-19 pandemic, and leadership responses to global crises, with numerous publications in leading journals such as Annals of Tourism Research, International Journal of Tourism Research, and Current Issues in Tourism. Dr. Coca-Stefaniak has served as an editor, reviewer, and member of editorial boards for high-impact journals, and he actively contributes to international professional associations and policy advisory bodies. Recognized for his research excellence and leadership, he has received multiple academic honors, invited keynote lectures, and fellowships that highlight his impact on shaping the discourse of sustainable and resilient tourism development worldwide, with his scholarly contributions reflected in over 4,900 citations, an h-index of 33, and an i10-index of 46.

Profile: ORCID | Scopus | Gooogle Scholar

Featured Publications

1. Paulauskaite D., Powell R., Coca-Stefaniak A., Living Like a Local: Authentic Tourism Experiences and the Sharing Economy. Int. J. Tourism Res., 2017, 553.

2. Mao Y., He J., Morrison J.A., Alastair M., Coca-Stefaniak J.A., Effects of tourism CSR on employee psychological capital in the COVID-19 crisis: from the perspective of conservation of resources theory. Curr. Issues Tourism, 2020, 480.

3. Li J., Nguyen T.H.H., Coca-Stefaniak J.A., Coronavirus impacts on post-pandemic planned travel behaviours. Ann. Tourism Res., 2020, 426.

4. Li J., Hallsworth A.G., Coca-Stefaniak J.A., Changing grocery shopping behaviours among Chinese consumers at the outset of the COVID-19 outbreak. Tijdschrift Econ. Soc. Geogr., 2020, 111(3), 574-583, 295.

5. Zhang J., Xie C., Wang J., Morrison A.M., Coca-Stefaniak J.A., Responding to a major global crisis: the effects of hotel safety leadership on employee safety behavior during COVID-19. Int. J. Contemp. Hosp. Manag., 2020, 32(11), 3365-3389, 245.

GHIZLANE MOUTAOUKIL | Sustainable Construction Materials | Best Researcher Award

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Dr. GHIZLANE MOUTAOUKIL | Sustainable Construction Materials | Best Researcher Award

Postdoctoral Researcher | Centro de Física de Materiales (CFM) CSIC-UPV/EHU | Spain

Dr. Ghizlane Moutaoukil is a Postdoctoral Researcher at the Centro de Física de Materiales (CSIC/UPV-EHU) in Spain, specializing in materials chemistry and sustainable construction materials. She holds a PhD in Materials Chemistry and Environment from Mohammed V University in Rabat in collaboration with the Institute of Materials Science of Madrid (CSIC), complemented by advanced training at UM6P, IISc Bangalore, and ENS Rabat. Her professional background spans academic research and industrial internships, including quality and process engineering roles in the automotive, petrochemical, and water treatment sectors. Dr. Moutaoukil’s research focuses on the design, characterization, and optimization of dense and porous geopolymers, with emphasis on their thermomechanical, microstructural, and environmental performance, supported by expertise in advanced techniques such as MAS NMR, XRD, SEM, and Raman spectroscopy. She has authored numerous peer-reviewed publications in leading journals including Construction and Building Materials, Sustainable Chemistry for the Environment, and Minerals, and contributed to innovations in thermoelectric cementitious composites, holding a European patent. She is an active participant in international conferences, delivering both oral and poster presentations, and has collaborated on interdisciplinary projects addressing sustainable materials for energy and environment. Recognized for her academic excellence and research impact, she also contributes as a reviewer and maintains memberships in professional scientific communities. Her career exemplifies a strong integration of scientific rigor, innovation, and applied impact in advancing sustainable material technologies. 162 Citations by 152 documents; 10 Documents; h-index 5

Profile: ORCID | Scopus 

Featured Publications

1. Moutaoukil G., Sobrados I., Dolado J.S., Development of phosphate mine waste-based geopolymer by mechanosynthesis. Constr. Build. Mater., 2025, 495, 143573.

2. Moutaoukil G., Sobrados I., Gökçe H.S., Alehyen S., Effect of thermal treatment, foaming and stabilizing agents on the synthesis of fly ash-based geopolymer foams using Raman spectroscopy and 29Si and 27Al MAS NMR. Sustain. Chem. Environ., 2025, 100257.

3. Moutaoukil G., Sobrados I., Alehyen S., Taibi M., Monitoring the geopolymerization reaction of geopolymer foams using 29Si and 27Al MAS NMR. Minerals, 2024, 14, 516.

4. Moutaoukil G., Sobrados I., Alehyen S., Taibi M., Understanding the thermomechanical behavior of geopolymer foams: Influence of rate and type of foaming agent and stabilizer. Chem. Data Collect., 2024, 50, 101111.

5. Moutaoukil G., Alehyen S., Sobrados I., Safhi A.E.M., Effects of elevated temperature and activation solution content on microstructural and mechanical properties of fly ash-based geopolymer. KSCE J. Civ. Eng., 2023, 27, 1102.

Minoor Lamian | Parametric Design | Best Researcher Award

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Dr. Minoor Lamian | Parametric Design | Best Researcher Award

Faculty Member | Tarbiat Modares University | Iran

Professor Minoor Lamyian is a distinguished Professor in the Department of Reproductive Health and Midwifery at Tarbiat Modares University, Tehran, Iran, specializing in maternal and child health, reproductive health, and health education. She holds a Ph.D. in Health Education, an M.Sc. in Maternal and Child Health from Tarbiat Modares University, and a B.Sc. in Midwifery from Shiraz University of Medical Sciences. With extensive academic service since the early 1990s, she has held leadership positions including Deputy Director of the Midwifery Department and Manager of the Medical Center at Tarbiat Modares University, while mentoring numerous students and professionals in the field. Her research focuses on women’s health literacy, safe motherhood, breastfeeding promotion, breast cancer prevention, and the application of behavior models and qualitative methods in reproductive health. She has authored numerous publications in international journals, including recent works on maternal nutrition, fertility preservation, and the psychosocial dimensions of women’s health, making significant contributions to public health scholarship. Professor Lamyian has also advanced scientific discourse through editorial roles with journals such as the Health Education & Promotion Journal and Social Behavior Research & Health Journal, and she actively contributes as a member of professional societies including the Breastfeeding Promotion Society of Iran. Her international academic engagement includes research collaboration at the University of Helsinki’s Finnish Cancer Registry. Recognized for her leadership, research excellence, and commitment to women’s health, Professor Lamyian continues to serve as a respected educator, researcher, and advocate in reproductive health and maternal well-being. She has 973 citations by 931 documents, 62 published documents, and an h-index of 17.

Profile: ORCID | Scopus

Featured Publications

1. Safaralinezhad A., Lamyian M., Ahmadi F., Hosseinkhani Z., Montazeri A., Development and psychometric properties of the Mental Health Literacy Scale for women of reproductive age: A mixed method study. Health Sci. Rep., 2025, 10.1002/hsr2.71227.

2. Moradi S., Lamyian M., Sahebi L., Investigating the prevalence and factors affecting pre-term and post-term labor in the 6 months before and after the Covid-19 pandemic: A comparative study. Payesh (Health Monitor) J., 2025, 10.61186/apyesh.24.3.355.

3. Bagheri M., Lamyian M., Sadighi J., Ahmadi F., Mohammadi-Nasrabadi F., Development and validation of a food security assessment questionnaire for pregnancy. Payesh (Health Monitor) J., 2025, 10.61186/payesh.24.2.269.

4. Roshandel S., Lamyian M., Azin S.A., Mohammadi E., Haghighat S., Providing fertility preservation services in breast cancer patients and barriers to receiving them in Iran: A qualitative study. J. Breast Dis., 2025, 10.61186/ijbd.18.1.107.

5. Bagheri M., Lamyian M., Sadighi J., Ahmadi F., Mohammadi-Nasrabadi F., Food security during pregnancy: A qualitative content analysis study in Iran. Matern. Child Nutr., 2025, 10.1111/mcn.13725.

Xiangfeng Bu | Environmental Design | Best Researcher Award

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Dr. Xiangfeng Bu | Environmental Design | Best Researcher Award

Ph.D. Student | Beijing Technology and Business University | China

Dr. Xiangfeng Bu, a researcher in computer science and system science at Beijing Technology and Business University, specializes in complex system modeling, remote sensing, artificial intelligence, and predictive modeling. He holds a Ph.D. in System Science (Complex System Modeling), an M.S. in Computer Technology, a B.S. in Computer Science and Technology, and an Associate Degree in Software Technology. His professional experience spans smart home hardware systems, greenhouse automation, and graduate leadership roles, including conference organization and academic affairs management. Dr. Bu’s research contributions include influential publications on lithium-ion battery fault prediction, deep reinforcement learning, harmful algal bloom detection, and multi-scale forest fire detection, alongside patents and software copyrights in environmental modeling and fire detection systems. His work integrates machine learning techniques such as XGBoost, LightGBM, and deep neural networks with applications in environmental sustainability, healthcare diagnostics, and intelligent systems. Recognized for academic excellence and leadership, he has received honors including Provincial Outstanding Student, Provincial Outstanding Graduate, and multiple scholarships, and has distinguished himself in national and international innovation competitions. Active in both research and academic service, Dr. Bu demonstrates a strong commitment to advancing interdisciplinary applications of artificial intelligence, making him a highly deserving candidate for this award. He has 61 citations by 61 documents, 4 documents, and an h-index of 2.

Profile: Scopus | ORCID

Featured Publications

1. Bu, X., Wang, L., Wang, X., Xu, J., Zhao, Z., Yu, J., Bai, Y., Zhang, H., & Sun, Q. (2025). A deep dual 3Q learning model incorporating nonlinear greedy factors. 2025 IEEE 2nd International Conference on Deep Learning and Computer Vision (DLCV).

2. Xie, M., Su, C., Bu, X., Yang, C., & Chen, B. (2025). A fault prediction method for lithium-ion batteries by fusing internal and external features with stacked integration models. Journal of The Electrochemical Society.

3. Bu, X. (2023). A harmful algal bloom detection model combining moderate resolution imaging spectroradiometer multi-factor and meteorological heterogeneous data. Sustainability, 15(21), 15386.

4. Zhang, L., Wang, M., Ding, Y., & Bu, X. (2023). MS-FRCNN: A multi-scale faster RCNN model for small target forest fire detection. Forests, 14(3), 616.

Sara Azamian | Green Building and LEED Design | Best Researcher Award

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Ms. Sara Azamian | Green Building and LEED Design | Best Researcher Award

Graduate | Sharif University of Technology | Iran

Dr. Sara Azamian, a researcher in the Department of Energy Engineering at Sharif University of Technology, specializes in sustainable energy systems engineering with a strong focus on fuel cell technology, exergy analysis, and integrated system optimization. She holds a Master’s degree in Energy Systems Engineering from Sharif University of Technology and a Bachelor’s degree in Chemical Engineering from Kermanshah University of Technology. Professionally, she has contributed as a junior expert to national energy efficiency and environmental projects, including eco-industrial park development, and has advanced her expertise through extensive research on fuel cell applications for standalone, household, and transportation systems. Her scholarly contributions span high-impact journals such as Energy Nexus, Entropy, Ecological Indicators, International Journal of Exergy, Green Technologies and Sustainability, and Energy Storage and Saving, addressing critical topics like the water-food-energy-ecosystem nexus, soil–plant interactions, and dynamic energy system optimization. Dr. Azamian is proficient in computational modeling, system simulation, and thermodynamic analysis, bridging theoretical innovation with practical sustainability applications. She has been recognized for her contributions to sustainable energy research and is actively engaged in advancing interdisciplinary collaborations aimed at addressing global energy and environmental challenges. Her leadership in research, combined with technical expertise and academic contributions, highlights her as a promising candidate for prestigious research awards. She has 54 citations, an h-index of 4, and an i10-index of 3.

Profile : Scopus | ORCID | Google Scholar

Featured Publications

1. Ledari, M. B., Saboohi, Y., & Azamian, S. (2023). Water-food-energy-ecosystem nexus model development: Resource scarcity and regional development. Energy Nexus, 10, 100207.

2. Bararzadeh Ledari, M., Saboohi, Y., Valero, A., & Azamian, S. (2020). Exergy analysis of a bio-system: Soil–plant interaction. Entropy, 23(1), 3.

3. Bararzadeh Ledari, M., Saboohi, Y., & Azamian, S. (2021). The tolerance level of the ecosystem as a limited constrain in the development planning. Ecological Indicators, 132, 108265.

4. Bararzadeh Ledari, M., Saboohi, Y., Valero, A., & Azamian, S. (2022). Exergy cost analysis of soil-plant system. International Journal of Exergy, 38(3), 293–319.

5. Azamian, S. (2025). Dynamic multicriteria optimization of household heating and cooling system for reusing fuel-cell waste heat at optimal thermodynamic conditions while considering climatic effects. Energy Storage and Saving.

Qiaowang Chen | Materials Science | Best Researcher Award

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Mr. Qiaowang Chen | Materials Science | Best Researcher Award

Supervisor | Chongqing University of Arts and Sciences | China

Dr. Qiaowang Chen, Lecturer at the School of Materials Science and Engineering, Chongqing University of Arts and Sciences, is a distinguished researcher in the field of materials science with expertise in magnesium alloys, gradient hard alloys, and advanced ceramic-metal composites. He holds a doctorate in Materials Science and Engineering from Chongqing University, where his dissertation focused on the microstructure and performance of Mg-Gd casting alloys, and a master’s degree from Southwest University on ultrafine WC-TiC-TaC-Co hard alloys. His professional journey includes academic and research roles that span teaching, institutional development, and leadership of numerous funded projects on alloy design, precipitation hardening, and deformation twinning mechanisms in hexagonal-close-packed metals. Dr. Chen has authored several SCI- and EI-indexed publications and contributed to advancing both theoretical knowledge and industrial applications, notably through the successful technology transfer of Co-based ceramic-metal composites generating significant economic value. His research integrates casting processes, powder metallurgy, and microstructural characterization to address challenges in high-performance structural materials. Recognized with the Technical Invention Award by the China Mechanical Engineering Society and China Machinery Industry Federation, Dr. Chen’s work has been acknowledged as reaching advanced national levels. Alongside his scholarly contributions, he has actively participated in institutional initiatives, including discipline development and defense-related certifications. His combination of academic rigor, innovative research, and practical application underscores his suitability as a leading candidate for the Best Researcher Award in Materials Science. He has 107 citations by 105 documents, with 19 documents and an h-index of 6.

Profile: Scopus 

Featured Publication

1. Chen Q.W., Tang A.T., Ye J.H., Hao L.L., Wang Y.R., Zhang T.J.*, Harnessing explainable AI for high-throughput prediction of WC-based cemented carbide performance, J. Alloys Compd., 2025, Accepted.

Atilla Biyikoglu | Parametric Design | Best Researcher Award

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Prof. Dr. Atilla Biyikoglu | Parametric Design | Best Researcher Award

Instructor at Gazi University, Turkey.

Dr. Atilla Biyikoglu is a distinguished academic and researcher in the field of mechanical engineering, specializing in energy systems, fuel cells, and thermal sciences. His scholarly journey reflects a commitment to advancing sustainable technologies, with a research portfolio that spans fuel cell models, thermal modeling, refrigeration systems, nanofluids, and energy efficiency in buildings. Over the years, he has published extensively in internationally recognized journals such as the International Journal of Hydrogen Energy and Optics & Laser Technology. Dr. Biyikoglu has also contributed to the practical applications of renewable energy, fuel cell technologies, and energy-efficient designs, shaping both theoretical and applied aspects of the field. His work is characterized by a balance between scientific rigor and industrial relevance, demonstrating his capacity to link research with real-world challenges. Through impactful publications, collaborative projects, and innovative ideas, he has become a recognized figure in sustainable engineering solutions.

Professional Profile

ORCID | Google Scholar

Education 

Dr. Atilla Biyikoglu pursued his higher education with a strong focus on mechanical engineering and energy systems, laying the foundation for his career in advanced research and innovation. His academic training provided him with a comprehensive understanding of thermodynamics, energy conversion, and applied mechanics, enabling him to transition seamlessly into specialized areas such as hydrogen energy, fuel cells, and renewable energy technologies. With a deep interest in sustainable engineering solutions, his educational background combined rigorous technical knowledge with multidisciplinary approaches, which later guided his research in energy-efficient building systems, clean energy integration, and advanced modeling techniques. Throughout his studies, Dr. Biyikoglu was actively involved in academic projects that emphasized problem-solving and innovation, skills that continue to define his research career today. His education not only shaped his expertise in mechanical and energy engineering but also instilled in him a vision of bridging science with real-world technological applications.

Experience 

Dr. Atilla Biyikoglu has built a strong academic and research career marked by significant contributions to mechanical engineering and energy sciences. His professional journey includes extensive teaching, research supervision, and leadership in collaborative projects. He has contributed to the development of advanced fuel cell technologies, renewable energy systems, and energy-efficient building solutions, often working at the intersection of academia and industry. His experiences extend to publishing high-impact journal articles, presenting at international conferences, and engaging with multidisciplinary teams to address global energy challenges. In addition, Dr. Biyikoglu has demonstrated expertise in simulation, modeling, and optimization of thermal and energy systems, enhancing their performance and sustainability. His collaborative spirit has led to co-authored works with national and international researchers, broadening the scope and impact of his studies. Over the years, he has also been recognized with awards for scientific publication, further underlining the value of his contributions to the academic and engineering community.

Research Focus 

Dr. Atilla Biyikoglu’s research focuses on sustainable energy systems, fuel cell technologies, thermal modeling, and energy efficiency in engineering applications. His work covers a wide range of areas, including proton exchange membrane fuel cell models, syngas production through coal gasification, advanced thermal modeling for selective laser melting processes, and optimization of organic Rankine cycle turbines. A key aspect of his research is improving the efficiency and sustainability of energy conversion systems, integrating nanofluids into refrigeration, and developing solutions for heat removal in complex systems. In building sciences, he has investigated optimum insulation thickness using life cycle cost analysis, contributing to sustainable residential construction practices. His research strategy combines modeling, experimental studies, and multi-objective optimization to produce results with both scientific and industrial relevance. By addressing critical issues such as clean energy transition, renewable integration, and energy-efficient design, his research aligns with global sustainability goals and future-oriented energy innovations.

Awards and Honors 

Throughout his career, Dr. Atilla Biyikoglu has received several awards and recognitions for his scholarly achievements and contributions to energy systems research. His work has been acknowledged through national scientific publication awards, reflecting the impact and quality of his contributions in leading international journals. These honors underscore his consistent dedication to advancing the field of fuel cells, renewable energy, and mechanical engineering. In addition to his publication awards, he has been involved in research projects supported by funding institutions, highlighting both the academic and practical relevance of his work. His contributions have also been recognized within academic communities, where he has been invited to present his findings and engage in collaborative research initiatives. These accolades not only validate his research excellence but also affirm his leadership in bridging innovative science with engineering applications. His awards and honors collectively establish him as a leading figure in sustainable and renewable energy research.

Publication Top Notes

Title: RETRACTED: Review of proton exchange membrane fuel cell models
Authors: A. Biyikoglu
Summary: A review of proton exchange membrane fuel cell (PEMFC) models, covering theoretical and computational approaches for performance prediction. Later retracted, but an early effort to synthesize PEMFC modeling knowledge.

Title: Development of thermal model for the determination of SLM process parameters
Authors: K. Ökten, A. Biyikoglu
Summary: Proposed a thermal model for optimizing parameters in Selective Laser Melting (SLM), improving heat transfer understanding and material quality in additive manufacturing.

Title: Design and multi-objective optimization of organic Rankine turbine
Authors: M. Erbaş, A. Biyikoglu
Summary: Designed and optimized an organic Rankine cycle turbine, focusing on efficiency and sustainability in power generation.

Title: Determination of optimum insulation thickness by life cycle cost analysis for residential buildings in Turkey
Authors: N. Aydin, A. Biyikoglu
Summary: Identified optimal insulation thickness using life cycle cost analysis to improve energy efficiency in residential buildings.

Title: A parametric study on coal gasification for the production of syngas
Authors: A. Gungor, M. Ozbayoglu, C. Kasnakoglu, A. Biyikoglu, B.Z. Uysal
Summary: Analyzed parameters affecting coal gasification efficiency and syngas composition for cleaner fuel production.

Title: Production of anhydrous borax from borax pentahydrate
Authors: A. Biicoglu, E. Jackson
Summary: Investigated production of anhydrous borax from borax pentahydrate, focusing on process efficiency and product quality.

Title: Enhancing the performance of a vapour compression refrigerator system using R134a with a CuO/CeO2 nano-refrigerant
Authors: H.E. Mohamed, U. Camdali, A. Biyikoglu, M. Aktas
Summary: Improved refrigeration system efficiency by using R134a with CuO/CeO2 nanoparticles as a nano-refrigerant.

Title: Heat removal improvement in an enclosure with electronic components for air conditioning devices
Authors: M.Z. Yilmazoglu, O. Gokalp, A. Biyikoglu
Summary: Proposed enhanced thermal management techniques for better heat removal in electronic enclosures of air conditioning devices.

Title: Historical development, working principles and current status of fuel cells
Authors: A. Biyikoglu
Summary: Reviewed the evolution, principles, and current advancements in fuel cell technology.

Title: Determination of heat transfer coefficient between heated floor and space using ANSI/ASHRAE standard 138 test chamber
Authors: M.F. Evren, A. Ozsunar, A. Biyikoglu, B. Kilkis
Summary: Evaluated heat transfer coefficients in heated floor systems using ASHRAE standard test chamber methodology.

Conclusion

Dr. Atilla Biyikoglu’s research record demonstrates depth, diversity, and sustained contribution to energy systems and mechanical engineering. His publications, projects, and leadership roles establish him as a strong candidate for the Best Researcher Award. With continued emphasis on international visibility, industry collaboration, and interdisciplinary expansion, his profile has the potential to achieve even greater global impact in advancing sustainable energy technologies.

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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.

Yazhou Zhao | Energy-Efficient Architecture | Young Scientist Award

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Assist. Prof. Dr. Yazhou Zhao | Energy-Efficient Architecture | Young Scientist Award

Experimental Scientist at  Zhejiang University, China

Dr. Yazhou Zhao is an Assistant Research Professor at the College of Energy Engineering, Zhejiang University, and Senior Experimental Scientist at the Key Laboratory of Refrigeration & Cryogenic Technology of Zhejiang Province. A core member of the AI-for-Energy Research Group, he leads projects at the intersection of renewable energy, artificial intelligence, and thermodynamic systems. He has developed the GKS physics simulator for generative-AI-assisted teaching and has contributed to numerous national and international energy projects, including collaborations with the Chinese Academy of Sciences, the Chinese Academy of Engineering, and government–industry programs in geothermal and heat pump technologies. With over 30 peer-reviewed journal publications, multiple patents, and recognition such as the Qianjiang Energy Science & Technology Award, his work focuses on intelligent control of energy systems, geothermal technologies, and digital-twin-based optimization. Dr. Zhao’s contributions align with global low-carbon and net-zero energy goals, positioning him as a leader in energy-efficient architecture and sustainable technologies.

Professional Profile

Scopus

Education

Dr. Yazhou Zhao has pursued a multidisciplinary academic path across engineering and computational sciences. He earned his Ph.D. from the University of the Chinese Academy of Sciences, specializing in Geological Engineering under the supervision of Academician Wang Jiyang and Professor Pang Zhonghe. His doctoral research focused on medium-depth ground-source heat pump systems and coupled thermal-reservoir simulations. Earlier, he completed his Master’s degree in Fluid Mechanics and Aerodynamics at the Institute of Applied Physics and Computational Mathematics, Beijing, conducting advanced research on aero-engine turbomachinery aerodynamics and Lagrangian mesh-free methods. His undergraduate studies were at Wuhan University of Science & Technology. where he earned a Bachelor’s degree in Built Environment & Equipment Engineering. This broad academic foundation across thermodynamics, numerical methods, and renewable energy systems underpins his innovative research in energy engineering and artificial intelligence for sustainable technologies.

Experience

Dr. Yazhou Zhao currently serves as an Experimental Scientist at Zhejiang University, where he advances research in intelligent energy systems and AI-driven simulations. Previously, he was a Postdoctoral Fellow at Zhejiang University, focusing on machine learning applications for building energy systems and multi-physics numerical simulations. His professional journey includes leadership as Principal Investigator on several major renewable energy projects funded by national and provincial programs, including geothermal system optimization and solar-assisted heating technologies. He has collaborated on international projects with partners in Finland and the Netherlands, addressing global challenges in carbon reduction and sustainable architecture. Beyond academia, he has contributed to government consulting projects on geothermal industry strategy and industrial energy-efficiency solutions. With his extensive project management, innovation in AI-assisted digital twins, and applied energy engineering expertise, Dr. Zhao has consistently translated theoretical advancements into practical applications across multiple sectors.

Research Focus

Dr. Yazhou Zhao’s  research bridges thermodynamics, artificial intelligence, and renewable energy engineering. His primary focus is on the intelligent control of building energy systems, with an emphasis on time-varying and nonlinear HVAC systems. He has pioneered AI-driven approaches for fault detection, health monitoring, and decision-making in energy-efficient architecture. A major part of his work involves geothermal and ground-source heat pump technologies, where he has developed novel simulation models and strategies to optimize performance under diverse climatic conditions, particularly in hot-summer/cold-winter zones. His research also advances large-scale computational fluid dynamics (CFD), leveraging machine learning to improve turbulence modeling and thermodynamic simulations across multi-phase and multi-scale systems. Furthermore, Dr. Zhao has contributed to digital twin platforms, integrating physical models, AI, and experimental data for smart operation of complex energy infrastructures. His research is strategically aligned with global carbon neutrality initiatives, offering innovative pathways to sustainable energy transformation.

Awards and Honors 

Dr. Yazhou Zhao ’s contributions have been recognized with multiple awards across academic, research, and coaching achievements. He received the Second Prize of the Qianjiang Energy Science & Technology Award for his groundbreaking project on IoT-based control of smart ground-source heat pump systems. During his early academic career, he won top prizes in national mathematics and modeling competitions, including First Prize in the National Undergraduate Mathematics Competition and honors at the COMAP Mathematical Contest in Modeling. Beyond his research, he has served as a coach, guiding teams to success in global competitions such as the S. T. Yau Science and Physics Awards and the HiMCM contest, securing multiple first prizes. His awards reflect both technical excellence and mentorship, underscoring his leadership in advancing the next generation of researchers while driving forward the field of renewable energy and energy-efficient systems.

Publication Top Notes

Title: An efficient hybrid model for thermal analysis of deep borehole heat exchangers
Authors: Zhao Y., Pang Z., Huang Y., Ma Z. 
Summary: Proposes a hybrid model integrating analytical and numerical methods to improve efficiency in modeling deep borehole exchangers.

Title: A fast simulation approach to the thermal recovery characteristics of deep borehole heat exchanger after heat extraction
Authors: Zhao Y., Ma Z., Pang Z. 
Summary: Introduces a rapid simulation method to evaluate thermal recovery of boreholes, enhancing geothermal system design.

Title: Heat transfer modeling on high-temperature charging and discharging of deep borehole heat exchanger with transient strong heat flux
Authors: Zhao Y., Qin X., Shi X. 
Summary: Develops transient models for high-intensity borehole heat storage, addressing system performance at elevated conditions.

Title: Performance evaluation of solar and condensing heat recovery systems for air reheating and humidification in industrial buildings
Authors: Wu F., Huang X., Zhang L., Gao J., Sun Y., Zhao Y., Zhang X. 
Summary: Evaluates hybrid solar and condensing heat recovery systems, showing improved efficiency in industrial HVAC applications.

Title: Study on the thermal imbalance characteristics and optimal operation strategy of ground source heat pump system in hot summer and cold winter areas
Authors: Zhao Y., Gao J., Wu F., Sun Y., Liu A., Yu Z., Zhang X. 
Summary: Investigates thermal imbalance issues in ground-source systems, offering optimized operation strategies for challenging climates.

Conclusion

Dr. Yazhou Zhao demonstrates a strong blend of academic rigor, technological innovation, and leadership in renewable energy and intelligent building systems. His consistent research contributions, particularly in geothermal energy and advanced heat pump systems, are aligned with pressing global challenges such as carbon neutrality and energy efficiency. With further emphasis on international collaboration and broader dissemination of his work, he stands out as a highly suitable candidate for the Best Researcher Award.

Yao Lu | Energy-Efficient Architecture | Best Researcher Award

Published on by Architecture Engineers

Assoc. Prof. Dr. Yao Lu | Energy-Efficient Architecture | Best Researcher Award

Associate Reseacher at Beijing Institute of Nanoenergy and Nanosystems, China

Dr. Yao Lu is an accomplished researcher specializing in smart batteries, lithium-ion batteries, and flexible sensors. He earned his Ph.D. from the University of Science and Technology Beijing, where he trained in advanced materials and physics at the Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science. He later joined Tsinghua University as a research fellow at the State Key Laboratory of Automotive Safety and Energy, where he advanced research on energy storage and battery safety. Currently, Dr. Lu serves as an Associate Researcher at the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences. His research emphasizes developing safe, long-life, and energy-efficient battery systems by integrating flexible sensor technologies. With over 25 peer-reviewed publications in leading journals, he has made impactful contributions to both academic science and practical energy applications. Dr. Lu is recognized as a promising researcher shaping the future of sustainable energy storage.

Professional Profile

ORCID

Education

Dr. Yao Lu completed his doctoral studies at the University of Science and Technology Beijing (USTB), where he conducted research at the Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science. His Ph.D. work focused on advanced physics, nanomaterials, and energy systems, laying the foundation for his later work in smart batteries and flexible sensors. At USTB, he gained expertise in electrochemical energy storage mechanisms and safety analysis of high-performance batteries. Following his doctoral training, Dr. Lu pursued additional research opportunities at Tsinghua University, one of China’s most prestigious institutions, where he worked on automotive safety and energy technologies. These academic experiences provided him with a strong interdisciplinary background combining physics, materials science, electrochemistry, and engineering. This broad training equipped him to tackle the pressing challenges in next-generation energy storage technologies, particularly in developing safe, intelligent, and energy-efficient battery systems suitable for electric vehicles and renewable energy applications.

Research Focus 

Dr. Yao Lu’s research focuses on the intersection of energy storage technology, sensor integration, and sustainability. His primary work explores smart lithium-ion batteries enhanced with flexible and implantable sensors that improve safety, performance, and life cycle management. He investigates critical challenges in battery technology, including thermal runaway mechanisms, lithium dendrite suppression, and rapid charging solutions. By combining materials engineering, electrochemical analysis, and sensor fusion techniques, his work aims to create next-generation batteries that are both safe and efficient. Additionally, Dr. Lu contributes to research on zinc-ion batteries and sodium-ion batteries, offering sustainable alternatives to traditional lithium-ion systems. His studies also incorporate AI-enabled battery management systems, providing intelligent monitoring and predictive maintenance capabilities for electric vehicles and large-scale energy storage. Overall, his research represents a forward-looking approach to clean energy innovation, addressing global needs for safer, more reliable, and environmentally responsible power storage solutions.

Publication Top Notes

Title: Zinc-ion batteries: pioneering the future of sustainable energy storage through advanced materials and mechanisms
Authors: Zixuan Chen, Liang Zhang, Tianyu Yu, Huancheng Yang, Yao Lu, Xiaodan Wang, Rui Li, Zonglun Ye, Yue Wang, Pengwei Li et al.
Summary: This article explores zinc-ion batteries as sustainable alternatives to lithium-ion systems. It provides mechanistic insights and highlights material strategies for performance enhancement, opening pathways for environmentally friendly storage solutions.

Title: Manipulation of lithium dendrites based on electric field relaxation enabling safe and long-life lithium-ion batteries
Authors: Xuebing Han, Shuoyuan Mao, Yu Wang, Yao Lu, Depeng Wang, Yukun Sun, Yuejiu Zheng, Xuning Feng, Languang Lu, Jianfeng Hua et al.
Summary: This study addresses lithium dendrite formation, a critical safety issue. The team demonstrated how electric field relaxation strategies can suppress dendrites, prolonging battery life and improving reliability.

Title: AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives
Authors: Daoming Sun, Dongxu Guo, Yufang Lu, Jiali Chen, Yao Lu, Xuebing Han, Xuning Feng, Languang Lu, Hewu Wang, Minggao Ouyang
Summary: A comprehensive review highlighting AI-driven methods for safe fast charging. The paper identifies challenges and future directions for integrating AI with EV battery management.

Title: Early warning for thermal runaway in lithium-ion batteries during various charging rates: Insights from expansion force analysis
Authors: Kuijie Li, Chen Li, Xuebing Han, Xin Gao, Yao Lu, Depeng Wang, Weixiong Wu, Yuan-cheng Cao, et al.
Summary: This work introduces expansion force analysis as a diagnostic method for predicting thermal runaway, contributing to improved safety monitoring in Li-ion batteries.

Title: In situ evaluation and manipulation of lithium plating morphology enabling safe and long-life lithium-ion batteries
Authors: Shuoyuan Mao, Yu Wang, Yao Lu, Xuebing Han, Yuejiu Zheng, Xuning Feng, Xinqi Ren, Languang Lu, Minggao Ouyang
Summary: The study reports advanced in situ techniques to monitor and control lithium plating, enhancing battery safety and durability.

Title: Smart batteries enabled by implanted flexible sensors
Authors: Yao Lu, Xiaodan Wang, Shuoyuan Mao, Depeng Wang, Daoming Sun, Yukun Sun, Anyu Su, Chenzi Zhao, Xuebing Han, Kuijie Li et al.
Summary: This article highlights how flexible sensors implanted within batteries can revolutionize energy storage by enabling real-time state monitoring and improved safety performance.

Conclusion

Dr. Yao Lu is an outstanding candidate for a Best Researcher Award. His innovative work on smart, safe, and sustainable battery technologies positions him at the forefront of energy materials research. With strong publication achievements, impactful collaborations, and recognition through competitive grants, he demonstrates the qualities of a researcher whose contributions will continue to shape the future of energy storage and flexible sensing technologies.