Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Mr. Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Suzhou university of science and technology | China

Mr. Uwayesu Happy Edwards the research focuses on environmental engineering, natural resource assessment, wastewater treatment modeling, hydropower system analysis, and climate-related environmental degradation across East and Central Africa. Recent work investigates the factors driving water quality changes in Lake Bunyonyi, integrating ecological metrics with habitat-impact assessments. Studies on wastewater treatment processes include large-scale evaluation of ASM1 parameters under subtropical climatic conditions, using long-term WWTP monitoring data to improve predictive reliability and optimize treatment efficiency. Broader environmental impact assessments examine risk patterns in natural resource zones across Southern Nigeria, Ibo regions, and Uganda’s Kitezi landfill, applying quantitative environmental models to evaluate pollution, habitat stress, and human–ecosystem interaction. Additional research explores deforestation-driven climate change in Morogoro, Tanzania, emphasizing the environmental implications for EPA-related conservation missions. Work on hydropower comparability analyzes the performance, sustainability, and environmental footprints of hydropower relative to fossil fuels and other energy systems in developing countries, contributing to renewable-energy assessment frameworks. Complementary studies investigate biomass arrangement effects on aquatic ecosystems, using vibrational analysis to evaluate impacts on fish habitats in Lake Victoria. Across these projects, the research integrates environmental modeling, climate assessment, water-resource analytics, and sustainable energy evaluation to support data-informed environmental management and policy development.

Featured Publications

Uwayesu, H. E., & Mulangila, J. (2025). Factor contributing to change of water in Lake Bunyonyi [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.30041587

Uwayesu, H. E. (2025). Address of Edwards line of emissions in reducing/positive impact to climate [Dataset]. OSF. https://doi.org/10.17605/osf.io/csz8x

 Uwayesu, H. E. (2025). Environmental impact and risk assessment of natural resource areas around Southern Nigeria, particularly Ibo and Uganda in the Kitezi landfill [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/EJ4Z7E

 Uwayesu, H. E. (2025). Evaluation of ASM1 parameters using large-scale WWTP monitoring data from a subtropical climate in Entebbe [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/BG5VJB

Yunwen Xu | Engineering | Best Researcher Award

Dr. Yunwen Xu l Engineering
| Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Yunwen Xu’s research focuses on advancing intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her innovative work integrates graph-based spatial-temporal modeling, data-driven control algorithms, and real-time optimization to enhance vehicle trajectory prediction, traffic signal management, and collaborative control in large-scale dynamic environments. Through over 50 high-impact publications, including 15 in top-tier journals and several ESI highly cited papers, Dr. Xu has significantly contributed to the theoretical and practical foundations of predictive control and intelligent mobility. Her research achievements include developing FPGA-based predictive controllers, robust model predictive frameworks, and reinforcement learning-based control systems for V2X-enabled autonomous vehicles. By leading national and provincial research projects and collaborating internationally with institutions like Purdue University and industrial partners such as Shanghai Electric Wind Power Group, she bridges the gap between academic innovation and industrial application. Her patents and successful technology transfers in microgrid energy management and advanced temperature control demonstrate the translational strength of her research. Recognized with prestigious honors, including the Best Paper Award at the Chinese Process Control Conference and championship at the Autonomous Driving Algorithm Challenge, Dr. Xu continues to pioneer next-generation control and automation technologies that drive the evolution of intelligent, efficient, and sustainable transportation ecosystems.

Profile:  Google Scholar 

Featured Publications

Mujeeb Abiola Abdulrazaq | engineering | Young Scientist Award

Mr. Mujeeb Abiola Abdulrazaq l engineering
| Young Scientist Award

University of North Carolina at Charlotte | United States

Mr. Mujeeb Abiola’s research focuses on advancing transportation safety and efficiency through data-driven methodologies and emerging technologies. His work extensively employs large-scale traffic and crash data, including millions of federal highway administration records, to investigate the spatiotemporal dynamics of pedestrian crashes and the evolution of crash hotspots. Utilizing advanced statistical and machine learning models, he has developed predictive frameworks that outperform traditional Highway Safety Manual standards, providing robust insights into risk factors and injury severity in both human-driven and autonomous vehicle contexts. His research on connected and autonomous vehicles (CAVs) has led to the development of traffic control algorithms that significantly enhance safety, operational efficiency, and environmental sustainability in freeway work zones. Furthermore, his studies integrate GPU-accelerated data processing, simulation-based optimization, and multi-level heterogeneity modeling to evaluate vulnerable road user behavior and assess dynamic collision risks. Through simulation platforms such as VISSIM and SUMO, combined with Python-based data analysis and GIS applications, his work systematically addresses complex traffic scenarios, including merging, diverging, and weaving segments, while also accounting for seasonal variations and temporal constraints in crash determinants. His contributions include empirical analyses of autonomous vehicle incidents, methodological advancements in microsimulation accuracy, and development of actionable strategies for real-world traffic management, ultimately aiming to improve roadway safety, inform policy, and guide evidence-based planning in modern transportation systems.

Profile:  Google Scholar 

Featured Publications

  • Abdulrazaq, M. A., & Fan, W. D. (2024). Temporal dynamics of pedestrian injury severity: A seasonally constrained random parameters approach. International Journal of Transportation Science and Technology, 9.

  • Abdulrazaq, M. A., & Fan, W. (2025). A priority based multi-level heterogeneity modelling framework for vulnerable road users. Transportmetrica A: Transport Science, 1–34. https://doi.org/10.1080/23249935.2025.2516817

  • Abdulrazaq, M. A., & Fan, W. (2025). Seasonal instability in crash determinants: A partially temporally constrained modeling analysis. SSRN 5341417. https://doi.org/10.2139/ssrn.5341417

Haneen Alamirah | Engineering | Best Researcher Award

Ms. Haneen Alamirah l Engineering
| Best Researcher Award

United Arab Emirates University | United Arab Emirates

Ms. Haneen Alamirah is an accomplished Architectural Engineer and researcher from the United Arab Emirates, specializing in occupant comfort in the built environment and sustainable building design. She holds a Bachelor’s degree in Architectural Engineering from the UAE University, a Master’s degree in Sustainable Critical Infrastructure from Khalifa University, and is currently pursuing her Ph.D. in Architectural Engineering at the UAE University . Her professional experience includes serving as a Graduate Teaching and Research Assistant at both Khalifa University and UAE University, where she has been involved in teaching, mentoring, and conducting advanced research in sustainability and human–environment interaction. Ms. Alamirah’s research contributions focus on the integration of immersive virtual environments for evaluating occupant comfort, adaptive behavior, and personal comfort models in shared spaces. Her scholarly work has been featured in high-impact journals such as Building and Environment and presented at international conferences including the Building Simulation Conference (2023, Shanghai; 2025, Brisbane) and the UAE Graduate Students Research Conference. With 68 citations and an h-index of 1 (Scopus ID: 57288505500), she continues to advance knowledge at the intersection of architecture, sustainability, and digital simulation tools, contributing to more resilient and human-centered design practices.

Profile: Scopus 

Featured Publication 

Alamirah, H. (2023, September). A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research. In Proceedings of the Building Simulation Conference 2023 (p. 1397). Shanghai, China. https://doi.org/10.26868/25222708.2023.1397

Sheharyar Khan | Engineering | Young Scientist Award

Dr. Sheharyar Khan l Engineering
| Young Scientist Award

Shandong University | Pakistan

Dr. Sheharyar Khan is a distinguished computer scientist and software engineer with extensive expertise in software engineering, artificial intelligence, and cybersecurity, specializing in IoMT edge-cloud frameworks and network intrusion detection systems. Currently a Postdoctoral Research Fellow at Shandong University, he leads independent and collaborative research initiatives, designing experiments, analyzing data, and publishing findings in high-impact journals. His doctoral research at Northwestern Polytechnical University focused on optimization-based hybrid offloading frameworks for IoMT in edge-cloud healthcare systems, demonstrating the integration of advanced computing techniques with practical healthcare applications. Dr. Khan has made significant contributions to explainable AI and hybrid ensemble machine learning, as seen in publications such as “HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems” and “Consensus hybrid ensemble machine learning for intrusion detection with explainable AI”. With prior experience as a lecturer and IT specialist, he combines academic rigor with practical software development expertise. Dr. Khan has 104 citations across 10 documents, an h-index of 6, an i10-index of 5, is indexed under Scopus Author ID 57221647889, and holds ORCID 0000-0002-0089-0168, reflecting his impact on the field. Recognized for his analytical skills, innovation, and interdisciplinary research, he continues to advance secure, intelligent, and explainable computing systems for both academic and real-world applications.

Profile: Scopus | Google Scholar | Orcid | Researchgate 

Featured Publications

Khan, S., Liu, S., Pan, L., & Mei, G. (2025). Optimization-based hybrid offloading framework for IoMT in edge-cloud healthcare systems. Future Generation Computer Systems, 108163. https://doi.org/

Ahmed, S. K. M. T. S., Jiangbin, Z., & Khan, S. (2025). HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems. Cluster Computing, 28(343). https://doi.org/

Ahmed, M. T. S., Jiangbin, Z., & Khan, S. (2024). Consensus hybrid ensemble machine learning for intrusion detection with explainable AI. Journal of Network and Computer Applications, 5*. https://doi.org/

Khan, S., Jiangbin, Z., & Ali, H. (2024). Soft computing approaches for dynamic multi-objective evaluation of computational offloading: A literature review. Cluster Computing, 27(9), 12459–12481. https://doi.org/

Heyu Peng | Engineering | Best Researcher Award

Mr. Heyu Peng | Engineering | Best Researcher Award

Xi’an Jiaotong University | China

Heyu Peng is an emerging researcher in the field of nuclear science and technology, currently pursuing his doctoral studies at the School of Nuclear Science and Technology, Xi’an Jiaotong University, China, since March . His research primarily focuses on the development and application of advanced computational methods in nuclear engineering, particularly Monte Carlo particle-transport simulations and coupled deterministic–stochastic modeling approaches. He has contributed to significant advancements in the refinement of nuclear simulation tools, demonstrating his expertise in improving accuracy, efficiency, and applicability for nuclear reactor analysis and radiation transport problems. he co-authored a paper published in IEEE Transactions on Nuclear Science that presented a coupled deterministic and Monte Carlo method for modeling and simulating self-powered neutron detectors, a study that addressed critical aspects of detector response modeling and its implications for nuclear instrumentation and monitoring. More recently, a cutting-edge computational tool designed to enhance nuclear reactor physics simulations and broaden its utility in research and practical applications. Through these publications, Peng has established himself as a promising researcher contributing to the advancement of computational nuclear science. His work reflects a strong commitment to bridging theoretical development with real-world applications, offering tools and methodologies that can improve safety, efficiency, and innovation in nuclear energy systems. As a doctoral candidate, Peng continues to expand his research profile, collaborating with experts in the field and contributing to interdisciplinary efforts in nuclear engineering. His growing academic contributions highlight his potential to become a leading researcher in nuclear science, with a focus on computational methods that can shape the future of nuclear technology and its safe, sustainable applications.

Profile: Orcid

Featured Publications

  • He, Q., Zheng, Q., Li, J., Huang, Z., Huang, J., Qin, S., Shu, H., Peng, H., Yang, X., Shen, J., et al. (2024). Overview of the new capabilities in the Monte-Carlo particle-transport code NECP-MCX V2.0. EPJ Nuclear Sciences & Technologies.

  • Zhou, Y., Cao, L., He, Q., Feng, Z., & Peng, H. (2022). A coupled deterministic and Monte-Carlo method for modeling and simulation of self-powered neutron detector. IEEE Transactions on Nuclear Science.

 

Linmei Wu | civil engineering | Best Researcher Award

 Prof Dr. Linmei Wu | civil engineering | Women Researcher Award

Prof Dr at University of western australia China

Dr. Linmei Wu is a distinguished civil engineer at The University of Western Australia, recognized for her pioneering work in structural engineering and sustainable construction. With over 30 high-quality publications, Dr. Wu’s research focuses on advancements in civil engineering materials, concrete shrinkage, BIM design, and intelligent construction methods. Her work bridges traditional and modern engineering practices, driving innovation and sustainability in the field. With a citation index of 2189 and a commitment to impactful research, Dr. Wu is a strong candidate for the Research for Community Impact Award, reflecting her dedication to advancing both academic and practical aspects of civil engineering.

Profile

Scholar

Strengths for the Research for Community Impact Award 🌟

Innovative Research: Linmei Wu has made significant advancements in civil engineering materials and intelligent construction methods, addressing key challenges in the field.. High Citation Index: Her high citation index of 2189 reflects the impact and relevance of her research within the academic community. Commitment to Sustainability: Her focus on sustainable and innovative solutions aligns with the goals of the Research for Community Impact Award.

Areas for Improvement 🛠️

Expand Industry Collaborations: Enhancing collaborations with industry partners could amplify the practical applications and community impact of her research. Increase Public Outreach: Greater engagement in public outreach and communication of her research findings could further extend the societal benefits of her work.

Academic and Professional Background 🎓

I am an accomplished civil engineer specializing in structural engineering. With a robust foundation in civil and environmental engineering, I have published over 30 high-quality academic papers. My focus on innovative and sustainable solutions in structural engineering has led to significant advancements in the field. My commitment to research and development has driven me to the forefront of civil and structural engineering, where I continually strive to improve practices and technologies.

Contributions 🏆

Linmei Wu’s contributions to civil engineering are distinguished by her groundbreaking work in concrete shrinkage, BIM design, and intelligent construction methods. Her innovative approaches bridge traditional engineering with modern techniques, leading to sustainable and impactful advancements. Her extensive publication record and high citation index underscore her significant influence in the field. Linmei’s dedication to advancing civil and structural engineering practices demonstrates her commitment to enhancing the industry’s impact on both the environment and society.

Research and Innovations 🔬

I have achieved breakthrough advancements in civil engineering materials, particularly regarding concrete shrinkage, Building Information Modeling (BIM) design, and intelligent construction methods. My expertise integrates traditional civil engineering with modern design approaches, resulting in innovative and sustainable solutions.

 

Publication:📝
  1. High Stretchable and Self-Adhesive Multifunctional Hydrogel for Wearable and Flexible Sensors
    • Year: 2024
    • Authors: H Zhong, W Shan, L Liang, X Jiang, L Wu
    • Journal: Heliyon
    • Citations: 0

 

  1. Realistic Aggregate Based on Rough Textures with Deep Learning
    • Year: 2024
    • Authors: L Wu, P Liu
    • Journal: Applied Soft Computing
    • Article: 111938
    • Citations: 0

 

  1. Cover Image, Volume 141, Issue 26
    • Year: 2024
    • Authors: W Shan, L Liang, L Wu
    • Journal: Journal of Applied Polymer Science
    • Volume: 141
    • Issue: 26
    • Article: e54165
    • Citations: 0

 

  1. 4D Printing of Dual-Responsive High-Performance Shape Memory Polymer Inspired by Sunflowers
    • Year: 2024
    • Authors: W Shan, L Liang, L Wu
    • Journal: Journal of Applied Polymer Science
    • Volume: 141
    • Issue: 26
    • Article: e55557
    • Citations: 0

 

  1. Multi-Material and Parameter-Controllable Stereolithography 3D Printing of Graded Permittivity Composites for High Voltage Insulators
    • Year: 2023
    • Authors: L Zhong, J Du, Y Xi, F Wang, L Wu, J Li, M Tu, X Li, G Fei
    • Journal: Virtual and Physical Prototyping
    • Volume: 18
    • Issue: 1
    • Article: e2271447
    • Citations: 1

 

  1. 3D Printing of Photochromic and Thermochromic Shape Memory Polymers for Multi-Functional Applications
    • Year: 2023
    • Authors: N Ge, W Shan, L Liang, Y Deng, L Wu
    • Journal: Materials Research Express
    • Volume: 10
    • Issue: 9
    • Article: 095701
    • Citations: 1

 

  1. Shear Lag Effect Study of a Composite Girder Cable-Stayed Bridge During Construction
    • Year: 2022
    • Authors: QC She, CS Chen, DH Yan, LM Wu, G Huang
    • Journal: International Journal of Simulation Modelling (IJSIMM)
    • Volume: 21
    • Issue: 4
    • Citations: 3

 

  1. Behaviour of Steel-Reinforced Concrete Columns Under Combined Torsion Based on ABAQUS FEA
    • Year: 2020
    • Authors: X Cao, L Wu, Z Li
    • Journal: Engineering Structures
    • Volume: 209
    • Article: 109980
    • Citations: 52

 

  1. Study on Dimensional Stability of Ultra-High Performance Concrete (UHPC)
    • Year: 2020
    • Author: L Wu
    • University: University of Southern Queensland
    • Citations: 0

 

  1. Synthesis of Zeolite P1 from Fly Ash Under Solvent-Free Conditions for Ammonium Removal from Water
    • Year: 2018
    • Authors: Y Liu, C Yan, J Zhao, Z Zhang, H Wang, S Zhou, L Wu
    • Journal: Journal of Cleaner Production
    • Volume: 202
    • Pages: 11-22
    • Citations: 152

 

  1. 钢纤维对超高性能混凝土干燥收缩的影响 (Effect of Steel Fiber on the Drying Shrinkage of Ultra-High Performance Concrete)
    • Year: 2018
    • Authors: 吴林妹 (Wu Linmei), 史才军 (Shi Caijun), 张祖华 (Zhang Zuhua), 王浩 (Wang Hao)
    • Journal: 材料导报 (Materials Review)
    • Volume: 31
    • Issue: 23
    • Pages: 58-65
    • Citations: 6

Conclusion 🏆

Linmei Wu is a highly qualified candidate for the Research for Community Impact Award. Her extensive research contributions, innovative approaches, and significant citation index highlight her impactful work in civil engineering. With a strong commitment to sustainable solutions, she is well-positioned to advance the field and make meaningful contributions to both the industry and society.