Il-Cho Park | Engineering | Best Researcher Award

Published on by Best Paper Awards

Prof. Il-Cho Park | Engineering | Best Researcher Award 

Professor | Mokpo National Maritime University | South Korea

Prof. Il-Cho Park is a highly capable and impactful engineering professional whose academic depth and extensive industry background position him as a strong candidate for the Best Researcher Award. With over five years of professional experience in the shipping industry and a focused academic trajectory in surface treatment engineering for marine materials, he has cultivated a rare blend of practical expertise and research-driven innovation. His career demonstrates steady progression from first-class engineer at Hanjin Shipping Co., Ltd. to senior academic leadership as Professor at Mokpo National Maritime University, where he has served since 2020 while simultaneously holding the role of Chief Engineer. This dual track reflects his commitment to bridging industrial practice with scientific advancement, particularly in areas such as ship engineering, corrosion protection, surface treatment technologies, and marine pollution management. His academic credentials, including a master’s degree and a doctorate from Mokpo National Maritime University between 2013 and 2018, provide a strong foundation for advanced research in marine materials and engineering processes. Prof. Park’s expertise contributes significantly to improving maritime safety, enhancing material durability, and advancing eco-friendly engineering solutions within the marine sector. His career reflects sustained dedication to developing engineering methods that address real-world operational challenges, aligning with global priorities for sustainable and resilient maritime systems. Through active involvement in academia and maritime operations, he consistently demonstrates the ability to apply theoretical knowledge to practical technological improvements and industry standards. His contributions support the training of future marine engineers, promote innovation in surface treatment science, and address pressing environmental concerns linked to marine pollution. Overall, his professional record, specialized skill set, and commitment to continuous improvement highlight his suitability for the Best Researcher Award, underscoring his role as an influential figure advancing engineering excellence in the maritime field.

Profiles: ORCID | ResearchGate

Featured Publications

Park, I. C., & Kim, S. J. (2022). Cavitation erosion characteristics of hard chromium plated diesel engine cylinder liner. Transactions of the IMF.

Park, I. C., & Han, M. S. (2021). Solid particle erosion behavior of Inconel 625 thermal spray coating layers. Journal of the Korean Society of Marine Environment and Safety.

Park, I. C., & Han, M. S. (2021). Analysis of electrochemical corrosion resistance of Inconel 625 thermal spray coated fin tube of economizer. Journal of the Korean Society of Marine Environment and Safety.

Yang, Y. J., Lee, J. H., Park, I. C., & Kim, S. J. (2020). Investigation on electrochemical cathodic protection for cavitation-erosion reduction of anodized aluminum alloy. Journal of Nanoscience and Nanotechnology.

Park, I. C., & Kim, S. J. (2020). Determination of corrosion protection current density requirement of zinc sacrificial anode for corrosion protection of AA5083-H321 in seawater. Applied Surface Science.

Prof. Il-Cho Park’s research advances the durability, safety, and sustainability of marine engineering systems through innovative surface treatment and corrosion-protection technologies. His work supports safer maritime operations, strengthens engineering materials for long-term industrial use, and contributes globally to cleaner, more resilient marine environments.

Rongyan Xi | Engineering | Best Researcher Award

Published on by Best Paper Awards

Dr. Rongyan Xi | Engineering | Best Researcher Award 

Doctor | China Mobile Research Institute | China

Rongyan Xi is an accomplished researcher in the field of communication and electronic engineering with a strong academic background and impactful scientific contributions, making her a highly suitable candidate for the Best Researcher Award. She obtained her B.S. degree in Communication Engineering from Shandong University in 2017 and completed her Ph.D. in Electronic Engineering from Tsinghua University in 2023, one of China’s most prestigious institutions. Currently, she is affiliated with the Future Research Lab at China Mobile Research Institute, where she focuses on cutting-edge areas such as 6G, integrated sensing and communication (ISAC), MIMO, advanced signal processing, target detection, positioning, and system design. Her research work demonstrates both depth and practical relevance to the next generation of wireless technologies. Rongyan Xi has contributed to several high-impact publications in leading journals including the IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Sensors Journal, and Sensors. Her works cover critical topics like cooperative sensing for 6G networks, system design, beam management, target recognition using millimeter-wave sensing, and performance evaluation frameworks such as SensCAP. Her active role in collaborative research projects and contributions to addressing key challenges in ISAC and radar technology reflect her innovative mindset and technical leadership. With publications in top-tier journals and involvement in field trials, she has established herself as a rising leader in the wireless communication research community. Her academic excellence, technological innovation, and industry relevance collectively demonstrate her exceptional potential and make her an outstanding candidate for the Best Researcher Award.

Profiles: Google Scholar | ORCID

Featured Publications

  1. Liu, G., Xi, R., Wang, X., Han, L., Gui, X., Jin, J., Dong, J., Wei, N., He, H., Xia, L., et al. (2025). Cooperative sensing for ISAC: Challenges, system design, beam management, and performance validation. IEEE Journal on Selected Areas in Communications.

  2. He, X., Ding, H., Xi, R., Dong, J., Jin, J., Wang, Q., Shao, C., Dong, X., & Zhang, Y. (2025, September 12). Target recognition based on millimeter-wave-sensed point cloud using PointNet++ model. Sensors.

  3. Liu, G., Xi, R., Han, Z., Han, L., Zhang, X., Ma, L., Wang, Y., Lou, M., Jin, J., Wang, Q., et al. (2024). Cooperative sensing for 6G mobile cellular networks: Feasibility, performance and field trial. IEEE Journal on Selected Areas in Communications.

  4. Liu, G., Ma, L., Xue, Y., Han, L., Xi, R., Han, Z., Wang, H., Dong, J., Lou, M., Jin, J., et al. (2024). SensCAP: A systematic sensing capability performance metric for 6G ISAC. IEEE Internet of Things Journal.

  5. Xi, R., Ma, D., Liu, X., Wang, L., & Liu, Y. (2022, October). Intra-pulse frequency coding design for a high-resolution radar against smart noise jamming. Remote Sensing.

Jianbin Chen | Engineering | Best Researcher Award

Published on by Best Paper Awards

Mr. Jianbin Chen | Engineering | Best Researcher Award

Chief Technology Officer | Guangdong Titans Intelligent Power Company Ltd | China

Mr. Jianbin Chen is a distinguished engineering professional with more than 11 years of expertise in digital signal design, iterative coding, data storage and communication systems, and the integration of power and wireless communication technologies in the Internet of Things (IoT). He currently serves as the Executive Vice President and R&D Director at Guangdong Titan Intelligent Power Co., Ltd., in addition to holding roles as a Senior Engineer, IEEE member, off-campus master’s mentor at Nanchang Institute of Technology, and Visiting Associate Professor at Guangdong Polytechnic of Science and Technology. Mr. Chen earned his bachelor’s degree from North Central University in 2011 and completed his Ph.D. at the University of Macau in 2021. Throughout his career, he has led and executed numerous high-impact projects, including intelligent air conditioning energy control systems, IoT-based smart street lighting systems, and advanced energy consumption control platforms for major infrastructure. He has overseen several provincial and municipal innovation programs, demonstrating strong leadership in research and technology development. Mr. Chen has secured 30 patents and 28 software copyrights, with many of his innovations being successfully commercialized and widely recognized. His outstanding contributions have earned him multiple prestigious honors such as the Zhuhai Talent Program, the Best Software Technology Innovation Product Awards, and national innovation competition prizes. Academically, he has published influential research papers and a book, with his work featured in SCI-indexed journals, covering topics like power electronics, intelligent control systems, and smart cities. His ability to combine advanced research with industrial applications has significantly contributed to the development of smart energy and IoT technologies in China. Mr. Chen’s visionary leadership, technical excellence, and dedication to innovation position him as a key figure in advancing intelligent infrastructure and sustainable technology solutions for the future.

Profile: ORCID
Featured Publications

  1. Chen, J., Yang, C., Zou, J., & Chen, K. (2025). Multiplier operated controller for CCM boost PFC converter with regulated input impedance and improved power factor. IEEE Access. DOI: 10.1109/ACCESS.2025.3548096

  2. Chen, J., Yang, C., & Zou, J. (2025). Optimization control strategy of wide ZVS range and automatic Euler angle for bi-directional wireless power transfer system by TPS. International Journal of Electrical Power & Energy Systems. DOI: 10.1016/j.ijepes.2025.111133

  3. Chen, J., Yang, C., & Zou, J. (2022). Robust enhanced voltage range control for industrial robot chargers. IEEE Access. DOI: 10.1109/ACCESS.2022.3229688

  4. Chen, J., Yang, C., Tang, S., & Zou, J. (2021). A high power interleaved parallel topology full-bridge LLC converter for off-board charger. IEEE Access. DOI: 10.1109/ACCESS.2021.3130051

  5. Chen, J. (2017). SMT物料种类与标准. 电子工业出版社. ISBN: 978-7-121-31740-8

Julio Pino | Engineering | Lifetime Achievement Award

Published on by Best Paper Awards

Prof. Dr. Julio Pino | Engineering | Lifetime Achievement Award 

Professor | Universidad Estatal del Sur de Manabí | Ecuador

Dr. Julio Cesar Pino Tarragó is a distinguished mechanical engineer and Senior Professor I with a Ph.D. in Mechanical Engineering from the Polytechnic University of Madrid, Spain (2008), and a degree in Mechanical Engineering from Universidad de Holguín “Oscar Lucero Moya” (1993). With extensive experience in both undergraduate and postgraduate teaching, he has delivered courses in strength of materials, theoretical mechanics, mechanical design, physics, statistics, operation and maintenance of agricultural machinery, design of experiments, ergonomics, and reliability of mechanical systems, among others. He has supervised numerous master’s and doctoral theses focused on tribology, agricultural machinery performance, biodigesters, and advanced manufacturing techniques, while also leading significant research projects internationally, including in Cuba, Spain, and Ecuador. His research interests encompass mechanical design, tribology, agricultural machinery, renewable energy, process optimization, and educational technologies using artificial intelligence. Dr. Pino Tarragó has an extensive publication record, including Scopus-indexed Q1-Q3 journals, peer-reviewed books on structural steel design, experimental methods, and engineering education, and articles in Latindex and SciELO journals, reflecting his scholarly impact with 207 citations, H-index 6, and i10-index 5. He has contributed to community-oriented projects, such as sustainable energy solutions for rural areas and constructivist teaching methodologies supported by AI, and has actively engaged in mentorship, leadership, and educational innovation. His awards and honors recognize his commitment to teaching excellence, research leadership, and societal impact in engineering and education. Overall, Dr. Pino Tarragó represents a highly accomplished professional whose expertise, research achievements, and leadership have significantly advanced mechanical engineering and educational practices, positioning him as an influential figure capable of shaping future innovations and mentoring the next generation of engineers globally.

Profiles: Google Scholar | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Pino Tarragó, J. C.,. (2025). Artificial intelligence and soft skills in civil engineering education: A Latin American curriculum gap with global implications. Research in Globalization, 100307.
    Citations: 20 | H-index: 6

  2. Pino Tarragó, J. C. (2025). Technology and innovative pedagogical strategies in foreign language teaching: Experience at UNESUM. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 15 | H-index: 6

  3. Pino Tarragó, J. C. (2025). Technology and Gamification in English Teaching for Civil Engineering: A Quasi-Experimental Study. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 12 | H-index: 6

  4. Pino Tarragó, J. C. (2024). Integrated Wastewater Treatment Technology: Efficiency of Lime and Eichhornia crassipes for Agricultural Irrigation. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 10 | H-index: 6

  5. Pino Tarragó, J. C. (2024). NEUROTIC in the process of teaching-learning in higher education. Revista Electrónica Formación y Calidad Educativa (REFCalE), 12(3).
    Citations: 8 | H-index: 6

Xingyu Zhou | Engineering | Best Researcher Award

Published on by Best Paper Awards

Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Naghi Rostami | Engineering | Best Researcher Award

Published on by Best Paper Awards

Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award 

Faculty of Electrical and Computer Engineering | University of Tabriz | Iran

Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

  1. Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)

  2. Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)

  3. Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)

  4. Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)

  5. Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)

Soheila Kookalani | Engineering | Best Paper Awards

Published on by Best Paper Awards

Dr. Soheila Kookalani | Engineering | Best Paper Award

Research Associate at Cambridge University, United Kingdom

Dr. Soheila Kookalani is a distinguished researcher in civil and structural engineering, specializing in artificial intelligence, machine learning, sustainable construction, and digital twin technologies. Currently a Research Associate at the University of Cambridge, her work focuses on steel reuse, circular economy, and structural optimization to promote sustainable infrastructure. She earned her Ph.D. in Civil and Structural Engineering from Shanghai Jiao Tong University, supported by strong academic training at Hohai University and Azad University. With an impressive publication record in high-impact journals and international conferences, she has advanced knowledge in structural design automation and resilient construction practices. Beyond research, she contributes as a reviewer, editorial board member, guest editor, and invited speaker, while also teaching and mentoring students. Her achievements demonstrate academic excellence, global collaboration, and leadership in advancing sustainable engineering solutions.

Professional Profile

Google Scholar | Orcid Profile | Scopus Profile

Education

Dr. Soheila Kookalani has built a strong academic foundation across globally recognized institutions. She earned her Ph.D. in Civil and Structural Engineering from Shanghai Jiao Tong University, where her research explored structural optimization and machine learning applications for gridshell structures. She completed her Master’s degree in Civil and Structural Engineering at Hohai University, focusing on the seismic performance of steel-concrete hybrid structures, following a Bachelor’s in Architectural Engineering from Azad University, where she developed hybrid architecture concepts for sustainable design. This academic journey provided her with multidisciplinary expertise spanning architecture, civil engineering, and computational modeling. Her progression from undergraduate through doctoral studies highlights a consistent dedication to merging innovative design with engineering principles, forming the basis for her later research on sustainable construction, digital twins, and artificial intelligence-driven structural design.

 Experience

Dr. Kookalani is currently a Research Associate in Construction Engineering at the University of Cambridge, where she leads work on sustainable construction practices, including steel reuse, circular economy applications, and digital twin technologies. Her role has involved collaboration with international partners and industry stakeholders to develop innovative solutions for life cycle assessment and sustainable design. She has actively contributed to teaching and supervision at Cambridge, engaging with undergraduate and postgraduate students in mechanics, aerodynamics, and structural engineering courses. Previously, she undertook significant academic and research roles during her studies in China, working on advanced computational and structural analysis projects. Her professional experience is distinguished by its combination of high-impact research, curriculum development, knowledge transfer, and industry collaboration, positioning her as a bridge between academic innovation and practical engineering applications.

Research Interest

Dr. Kookalani’s research interests are centered on sustainable structural engineering and the integration of advanced technologies into civil infrastructure. She focuses on steel reuse, structural optimization, circular economy approaches, and life cycle assessment to advance sustainable design practices. Her expertise in artificial intelligence, machine learning, and deep learning enables her to apply advanced computational models to construction automation, lightweight structures, and generative design. She is also deeply engaged in digital twin applications, building information modeling, and robotics for the built environment, reflecting a forward-looking vision for smart and adaptive construction systems. Her interdisciplinary approach connects materials science, computational engineering, and sustainability, making her research highly relevant for addressing global challenges in resource efficiency, climate change mitigation, and infrastructure resilience.

Awards and Honors

Dr. Kookalani has earned multiple academic honors in recognition of her scholarly excellence and dedication. She received a full scholarship from Shanghai Jiao Tong University to pursue her Ph.D., reflecting her strong academic merit and research potential. Prior to that, she was awarded a scholarship for her Master’s studies at Hohai University. During her undergraduate years at Azad University, she was consistently recognized as a top student in architectural design courses, with her projects highlighted for their creativity and development. She also served as a member of the student board at the Architecture Engineering Scientific Association, demonstrating early leadership and academic engagement. These achievements reflect a trajectory of sustained academic distinction, research innovation, and leadership, laying a strong foundation for her ongoing success as a global researcher in sustainable engineering.

Research Skill

Dr. Kookalani possesses a comprehensive set of research skills that combine computational expertise, engineering knowledge, and interdisciplinary applications. She is proficient in programming languages such as Python and MATLAB, and advanced software including Abaqus, AutoCAD, Revit, Rhino, Grasshopper, Etabs, and SAP2000, enabling her to model, analyze, and optimize complex structures. Her technical expertise extends to machine learning, digital twins, life cycle assessment, and environmental product declarations, aligning with her sustainability-focused research. She is adept in data-driven modeling, structural performance prediction, and optimization techniques such as swarm intelligence and support vector machines. In addition, she has experience in visualization tools like Lumion, Blender, and Adobe Suite, enhancing her ability to present research outputs effectively. These skills empower her to bridge advanced computational methods with practical engineering solutions for sustainable construction.

Publication Top Notes

Title: Trajectory of Building and Structural Design Automation from Generative Design Towards the Integration of Deep Generative Models and Optimization: A Review
Authors: Soheila Kookalani, E. Parn, I. Brilakis, S. Dirar, M. Theofanous, A. Faramarzi, M. Mahdavipour, Q. Feng
Year: 2024
Citation: Journal of Building Engineering, 97:110972

Title: Shape Optimization of GFRP Elastic Gridshells by the Weighted Lagrange Ε-Twin Support Vector Machine and Multi-Objective Particle Swarm Optimization Algorithm Considering Structural Weight
Authors: Soheila Kookalani, B. Cheng, S. Xiang
Year: 2021
Citation: Structures, 33:2066–2084

Title: Structural Performance Assessment of GFRP Elastic Gridshells by Machine Learning Interpretability Methods
Authors: Soheila Kookalani, B. Cheng, J. L. Chavez Torres
Year: 2022
Citation: Frontiers of Structural and Civil Engineering, 16:1249–1266

Title: Form-Finding of Lifting Self-Forming GFRP Elastic Gridshells Based on Machine Learning Interpretability Methods
Authors: Soheila Kookalani, S. Nyunn, S. Xiang
Year: 2022
Citation: Structural Engineering and Mechanics, 84(5):605–618

Title: An Overview of Optimal Damper Placement Methods in Structures
Authors: Soheila Kookalani, D. Shen, L. Zhu, M. Lindsey
Year: 2021
Citation: Iranian Journal of Science and Technology – Transactions of Civil Engineering, 46:1785–1804

Title: An Analytic Solution for Form Finding of GFRP Elastic Gridshells during Lifting Construction
Authors: S. Xiang, B. Cheng, Soheila Kookalani
Year: 2020
Citation: Composite Structures, 244:112290

Title: An Analytic Approach to Predict the Shape and Internal Forces of Barrel Vault Elastic Gridshells during Lifting Construction
Authors: S. Xiang, B. Cheng, Soheila Kookalani, J. Zhao
Year: 2021
Citation: Structures, 29:628–637

Title: An Integrated Approach of Form Finding and Construction Simulation for Glass Fiber-Reinforced Polymer Elastic Gridshells
Authors: S. Xiang, B. Cheng, L. Zou, Soheila Kookalani
Year: 2020
Citation: Structural Design of Tall and Special Buildings, 29(5):e1698

Title: Introduction of Methodology for BIM & DSS
Authors: H. Alavi, Soheila Kookalani, F. Rahimian, N. Forcada
Year: 2024
Citation: Integrated Building Intelligence, pp. 31–42

Title: BIM-Based DSS for HVAC Root-Cause Detection
Authors: H. Alavi, Soheila Kookalani, F. Rahimian, N. Forcada
Year: 2024
Citation: Integrated Building Intelligence, pp. 43–57

Title: BIM-Based DSS for Building Condition Assessment
Authors: H. Alavi, Soheila Kookalani, F. Rahimian, N. Forcada
Year: 2024
Citation: Integrated Building Intelligence, pp. 59–78

Title: BIM-Based DSS for Enhancing Occupants’ Comfort
Authors: H. Alavi, Soheila Kookalani, F. Rahimian, N. Forcada
Year: 2024
Citation: Integrated Building Intelligence, pp. 79–99

Title: BIM-Based Augmented Reality for Facility Maintenance Management
Authors: H. Alavi, Soheila Kookalani, F. Rahimian, N. Forcada
Year: 2024
Citation: Integrated Building Intelligence, pp. 101–112

Title: GFRP Elastic Gridshell Structures: A Review of Methods, Research, Applications, Opportunities, and Challenges
Authors: Soheila Kookalani, Htay Htayaung
Year: 2023
Citation: Journal of Civil Engineering and Materials Application

Title: Structural Analysis of GFRP Elastic Gridshell Structures by Particle Swarm Optimization and Least Square Support Vector Machine Algorithms
Authors: Soheila Kookalani, B. Cheng
Year: 2021
Citation: Journal of Civil Engineering and Materials Application

Title: Effect of Fluid Viscous Damper Parameters on the Seismic Performance
Authors: Soheila Kookalani, D. Shen
Year: 2020
Citation: Journal of Civil Engineering and Materials Application, 4(3)

Title: An Overview of the Particle Swarm Optimization Algorithms Applied to Optimization of Structures
Authors: Soheila Kookalani
Year: 2019
Citation: Civil Engineering Journal, 5(11):2336–2349

Title: Analysis and Optimal Location of Fluid Viscous Dampers for Multistory Irregular Steel Structures under Seismic Excitation
Authors: Soheila Kookalani, M. Daneshvaran, M. Noori
Year: 2019
Citation: Civil Engineering Journal, 5(7):1594–1607

Title: Optimal Viscous Damper Location for Multi-Story Steel Structures by Genetic Algorithm
Authors: Soheila Kookalani, S. Arabzadeh, M. Noori
Year: 2018
Citation: Civil Engineering Journal, 4(11):2590–2601

Title: Optimal Placement of Fluid Viscous Dampers in Steel Structures Subjected to Seismic Excitation by Genetic Algorithm
Authors: Soheila Kookalani, S. Arabzadeh, M. Noori
Year: 2018
Citation: Civil Engineering Journal, 4(5):1061–1072

Conclusion

Dr. Soheila Kookalani is an innovative and forward-thinking researcher whose career integrates civil engineering, artificial intelligence, and sustainability. With strong academic credentials, professional experience at leading institutions, and a significant publication record, she has made meaningful contributions to the advancement of structural optimization, digital construction, and sustainable design. Her work has influenced both academia and industry by offering scalable solutions for steel reuse, resilient infrastructure, and circular economy practices. Beyond research, her leadership through teaching, editorial activities, conference committees, and invited talks reflects her commitment to knowledge sharing and community impact. Recognized with prestigious scholarships and awards, she continues to expand her global collaborations and research impact. Dr. Kookalani exemplifies academic excellence, technical innovation, and societal contribution, making her a valuable contributor to the future of sustainable engineering.

Shima Sadaf | Engineering | Excellence in Research Award

Published on by Best Paper Awards

Assist. Prof. Dr. Shima Sadaf | Engineering | Excellence in Research Award |

Assistant Professor at King Faisal University, Saudi Arabia.

Dr. Shima Sadaf 🎓 is an accomplished Assistant Professor of Electrical Engineering at King Faisal University, with a Ph.D. (Distinction & Gold Medal) from Qatar University. Her impactful research spans digital twins, AI-driven power electronics ⚡, micro/nano-grids, and sustainable energy solutions 🌱. With 31 publications, two patents—including a US patent—and multiple awards 🏆 such as the LEWAS 2024 Academic Achievement Award, she demonstrates innovation and leadership. Her industry experience with Hyundai and ETA enriches her applied research. A dedicated mentor, active reviewer for top IEEE journals 📚, and certified LEED AP BD+C and PMP® professional, Dr. Sadaf combines advanced research with practical solutions for modern power systems. Her work continues to bridge academia, industry, and sustainability, driving real-world impact and inspiring future engineers.

Professional Profile

Google Scholar

Orcid Profile

📚 Education

Dr. Shima Sadaf holds a Ph.D. in Electrical Engineering 🎓 with Distinction and a Gold Medal from Qatar University (2022), specializing in power electronics and nanogrid applications. She earned her M.Tech with Honors in Power Systems & Drives (2007) and B.Tech in Electrical Engineering (2004) from Aligarh Muslim University, India. Her strong academic foundation blends advanced theory, practical design, and cutting-edge technologies ⚡. Her thesis focused on high-gain DC-DC converters for nanogrids, laying a robust base for sustainable energy research. Committed to continuous learning, she has also achieved professional certifications like LEED AP BD+C and PMP® 🏅, enhancing her expertise in sustainable design and project management. Dr. Sadaf’s educational journey reflects a balance of academic rigor, innovation, and practical relevance.

💼 Professional Experience

Dr. Shima Sadaf’s career integrates academia and industry seamlessly. Currently an Assistant Professor 👩‍🏫 at King Faisal University, she actively develops curricula, mentors students, leads accreditation processes, and designs innovative programs in electrical engineering. Previously, she served as a Graduate Teaching Research Assistant at Qatar University, contributing significantly to teaching and laboratory innovation. Before academia, Dr. Sadaf spent nearly a decade in industry 🏗️ as an Electrical Design Engineer with Hyundai Engineering & Construction and ETA M&E, delivering complex, multimillion-dollar projects like the iconic National Museum of Qatar. Her diverse roles included technical design, project coordination, stakeholder engagement, and mentoring junior engineers. This rich blend of industry and academic experience empowers her to deliver research with strong practical impact and relevance ⚙️.

🔬 Research Interest

Dr. Shima Sadaf’s research focuses on shaping the future of sustainable and intelligent power systems. Her work explores digital twins and AI for converter design 🤖, cybersecurity for power electronics, smart grids, integrated micro/nano-grids, and renewable energy for net-zero goals 🌍. She is especially known for AI-driven design optimization of high-gain DC-DC converters and advanced electric vehicle charging systems 🚗⚡. Her interdisciplinary approach integrates power electronics, machine learning, and grid modernization, addressing urgent global challenges like clean energy, resilient infrastructure, and energy efficiency. With a vision to bridge theory and application, Dr. Sadaf’s research not only advances academic knowledge but also provides scalable solutions for the energy transition, industry innovation, and smarter cities of tomorrow 🔋🏙️.

🏆 Awards and Honors

Dr. Shima Sadaf’s dedication and impact are recognized with prestigious awards 🥇. She received the “Academic Achievement – University Professor Award_LEWAS 2024” for her outstanding contributions to engineering education and research. She also earned the “Best Researcher Award” and “Outstanding Leadership Award” for her influence in innovative research and academic leadership 👏. Her doctoral distinction, recognized with a Gold Medal and a special honor by the Amir of Qatar’s wife, underscores her academic excellence. Additional accolades include the “Women Researcher Award” by ScienceFather and multiple best paper awards at top conferences 📜. These honors reflect not only her scholarly productivity but her commitment to inspiring women in STEM and driving real-world solutions through impactful research.

🧩 Research Skills

Dr. Shima Sadaf combines deep theoretical expertise with practical skills across modern tools and methodologies 🔍. She is proficient in MATLAB/Simulink, PowerWorld Simulator, FPGA with system generator, Arduino IDE, Multisim, and PCB design tools 🖥️. Her robust skill set supports complex modeling, simulation, and implementation of high-gain DC-DC converters, smart grids, and AI-based power systems. She holds two patents, including a US patent, evidencing her innovation in practical technologies ⚡. As a reviewer for IEEE Transactions, IET Power Electronics, and other top journals, she upholds high standards in scientific rigor 📚. Her leadership in workshops and expert talks further highlights her ability to transfer knowledge and inspire emerging researchers and engineers 🌟.

Publications Top Note 📝

Title: ON/OFF Switchable Smart Poly(N‐isopropylacrylamide) Based Hybrid Nanocatalyst for the Response Surface Methodology Based Catalytic Reduction of 2‐Nitroaniline
Authors: M. W. Alam, S. M. Usman, S. Naeem, N. Zaidi, Shima Sadaf, K. Naseem
Year: 2025
Source: ChemistrySelect
Citation: ChemistrySelect 10 (8), Feb. 2025, https://doi.org/10.1002/slct.202404485

Title: Multifunctional ZrO₂/NiO/RGO Ternary Nanocomposites for Degradation of Organic Pollutants, H₂ Production and Antioxidant Property
Authors: S. R. Bavaji, A. Jafar Ahamed, M. W. Alam, G. M. Alsulaim, S. Sadaf
Year: 2025
Source: Journal of Inorganic and Organometallic Polymers and Materials
Citation: Journal of Inorganic and Organometallic Polymers and Materials, Jan. 2025, https://doi.org/10.1007/s10904-025-03630-w

Title: Insight into NaSiCl₃: A Lead-Free Perovskite for the Next Generation Revealed by DFT and SCAPS-1D
Authors: S. Rabhi, et al.
Year: 2025
Source: Physical Chemistry Chemical Physics
Citation: Physical Chemistry Chemical Physics, Jan. 2025, https://doi.org/10.1039/d5cp01747e

Title: Improved Ni₃V₂O₈ Supercapacitive Performance via Urea-Driven Morphological Alteration
Authors: M. W. Alam, et al.
Year: 2025
Source: Ceramics International
Citation: Ceramics International 51 (10), 13430–13442, Jan. 2025, https://doi.org/10.1016/j.ceramint.2025.01.187

Title: Enhanced UV Photodetector Based on WO₃/SnO₂ Heterostructure Nanowire
Authors: M. W. Alam, I. Ao, S. Sadaf, E. R. Singh
Year: 2024
Source: Applied Physics A
Citation: Applied Physics A 131 (1), Dec. 2024, https://doi.org/10.1007/s00339-024-08177-0

Title: Bio-Genic Synthesis of Nitrogen-Doped Carbon Nanodots (NDCNDs) Using Aristolochia bractealata for MO Catalytic Activity and Security Ink
Authors: M. W. Alam, et al.
Year: 2024
Source: Waste and Biomass Valorization
Citation: Waste and Biomass Valorization, Dec. 2024, https://doi.org/10.1007/s12649-024-02859-9

Title: Hydrothermal Synthesis of rGO-Decorated NiMn₂O₄ Nanoneedles for High-Performance Positive Electrode in Asymmetric Supercapacitors
Authors: J. Jothi, M. Parthibavarman, K. L. Meghanathan, B. Souayeh, M. W. Alam, S. Sadaf
Year: 2024
Source: Diamond and Related Materials
Citation: Diamond and Related Materials 150, Nov. 2024, https://doi.org/10.1016/j.diamond.2024.111764

Title: Controlled Synthesis and Electrochemical Characterization of Co₃V₂O₈ Hexagonal Sheets for Energy Storage Applications
Authors: M. A. Yewale, D. K. Shin, M. W. Alam, A. M. Teli, S. Nabi, S. A. Ansari, S. Sadaf, A. A. AlKahtani
Year: 2024
Source: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Citation: Colloids and Surfaces A, Aug. 2024, https://doi.org/10.1016/j.colsurfa.2024.135180

Title: Advancements in Green-Synthesized Transition Metal/Metal-Oxide Nanoparticles for Sustainable Wastewater Treatment
Authors: M. W. Alam, et al.
Year: 2024
Source: Materials Research Express
Citation: Materials Research Express 11 (10), Oct. 2024, https://doi.org/10.1088/2053-1591/ad86a4

Title: Bipolar Resistive Switching Behavior of Bilayer β-Ga₂O₃/WO₃ Thin Film Memristor Device
Authors: M. W. Alam, A. Jamir, B. Longkumer, B. Souayeh, S. Sadaf, B. Moirangthem
Year: 2024
Source: Journal of Alloys and Compounds
Citation: Journal of Alloys and Compounds 1010, Oct. 2024, https://doi.org/10.1016/j.jallcom.2024.177032

✅ Conclusion

In summary, Dr. Shima Sadaf is an outstanding researcher, educator, and innovator who exemplifies research excellence and impactful leadership ✨. Her career unites advanced technical expertise, high-quality publications 📑, patents, industry experience, and dedication to sustainability 🌱. Recognized globally for her contributions and leadership, she empowers the next generation of engineers through active mentorship, curriculum innovation, and outreach. With her strong interdisciplinary focus and commitment to solving real-world energy challenges ⚙️, Dr. Sadaf stands out as a role model in modern power electronics and sustainable energy systems. Her work continues to bridge academia, industry, and society, driving progress towards smarter, greener, and more resilient energy solutions for the future ⚡🌍.

 

Duy Vo | Mechanical Engineering Pioneer | Best Researcher Award

Published on by Best Paper Awards

Dr. Duy Vo | Mechanical Engineering Pioneer | Best Researcher Award

Doctorate at Duy Tan University, Vietnam

Summary:

Dr. Duy Vo is an accomplished engineer and researcher in civil engineering, focusing on applied and computational mechanics, structural analysis, and material optimization. He earned his Ph.D. and M.Sc. from the Sirindhorn International Institute of Technology at Thammasat University, Thailand, and his B.Eng. from Ho Chi Minh City University of Technology, Vietnam. Dr. Vo has received prestigious scholarships and awards for his academic excellence and research contributions, including the Outstanding Dissertation Award from Thammasat University. His work has been widely published in renowned journals, and he continues to contribute to advancing engineering knowledge and practice.

Professional Profile:

👩‍🎓Education:

Ph.D. in Engineering and Technology (2020)

  • School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand

M.Sc. in Engineering and Technology (2017)

  • School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand

B.Eng. in Civil Engineering (2015)

  • Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Vietnam National University, Vietnam

🏢 Professional Experience:

Dr. Duy Vo is a dedicated researcher and educator specializing in applied mechanics, computational mechanics, and structural analysis within the field of civil engineering. His professional journey is marked by significant contributions to the understanding of mechanics of materials, numerical analysis, and optimization. Dr. Vo has collaborated extensively with international research teams and has published numerous high-impact journal articles on topics such as isogeometric analysis of beams, effective material properties of lattices, and the development of advanced computational methods for structural analysis. His expertise also includes working with various numerical methods and optimizing structural designs for better performance and efficiency.

Research Interests:

  • Applied Mechanics
  • Computational Mechanics
  • Structural Analysis
  • Civil Engineering
  • Mechanics of Materials
  • Numerical Analysis
  • Optimization

Awards and Honors:

  • Outstanding Dissertation Award, Thammasat University, Thailand (2020)
  • Ph.D. Scholarship, AUN/SEED-Net, JICA (2018)
  • Master Scholarship, AUN/SEED-Net, JICA (2016)

Top Noted Publication:

1. Geometrically nonlinear multi-patch isogeometric analysis of spatial Euler–Bernoulli beam structures

  • Authors: D. Vo, P. Nanakorn, T.Q. Bui
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Volume: 380
  • Article: 113808
  • Year: 2021
  • Citations: 19

2. Dynamic multi-patch isogeometric analysis of planar Euler–Bernoulli beams

  • Authors: D. Vo, A. Borković, P. Nanakorn, T.Q. Bui
  • Journal: Computer Methods in Applied Mechanics and Engineering
  • Volume: 372
  • Article: 113435
  • Year: 2020
  • Citations: 17

3. Static analysis of planar arbitrarily curved microbeams with the modified couple stress theory and Euler-Bernoulli beam model

  • Authors: D. Vo, P. Suttakul, J. Rungamornrat, P. Nanakorn
  • Journal: Applied Mathematical Modelling
  • Volume: 112
  • Pages: 358-390
  • Year: 2022
  • Citations: 13

4. Effective out-of-plane rigidities of 2D lattices with different unit cell topologies

  • Authors: P. Suttakul, P. Nanakorn, D. Vo
  • Journal: Archive of Applied Mechanics
  • Volume: 89
  • Pages: 1837-1860
  • Year: 2019
  • Citations: 13

5. An efficient isogeometric beam formulation for analysis of 2D non-prismatic beams

  • Authors: D. Vo, X. Li, P. Nanakorn, T.Q. Bui
  • Journal: European Journal of Mechanics – A/Solids
  • Volume: 89
  • Article: 104280
  • Year: 2021
  • Citations: 12