Liping Guo | Engineering | Best Researcher Award

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Prof. Dr. Liping Guo | Engineering | Best Researcher Award

Vice President | School of Materials Science & Engineering | China

Prof. Liping Guo is a distinguished researcher and Full Professor in the field of materials science and engineering, specializing in ecological high-ductility cementitious composites, multi-scale damage and life prediction of concrete under complex conditions, and solid waste recycling technology with fiber surface modification. Her research contributes significantly to sustainable construction materials and advanced cement-based composites. With over 140 research publications, 23 authorized national invention patents, and two published books, her scientific contributions have been widely recognized and applied in major national infrastructure projects, yielding substantial technical, economic, and social benefits. Prof. Guo has successfully led more than ten national, provincial, and ministerial-level research projects, including those under the National Natural Science Foundation of China and the 973 Program, as well as numerous industry collaborations. Her work bridges fundamental material science and practical engineering applications, advancing the field of green and resilient concrete materials. She has received multiple national and provincial scientific and technological progress awards, including second prizes from the Ministry of Education and the Fujian provincial government. Additionally, she has made remarkable achievements in teaching and talent cultivation, guiding several award-winning student innovation teams and numerous postgraduate researchers. Her Scopus record includes 7 indexed documents, 94 citations from 90 documents, and an h-index of 5, reflecting her growing academic impact in the field of sustainable cementitious composites and concrete durability science.

Profile:  Scopus

Featured Publications

Guo, L., (2025). Performance evolution of high ductility cementitious composites under different curing regimes: Hydration kinetics, microstructure development, and mechanical behavior. Construction and Building Materials.

Qiang Chen | Structural Design | Best Researcher Award

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Dr. Qiang Chen | Structural Design | Best Researcher Award

Postdoctoral | National University of Defense Technology | China

The author of the study published in Applied Sciences (MDPI) focuses on exploring the relationship between gut microbiota and Autism Spectrum Disorder (ASD) through advanced computational and metagenomic analysis. With an educational background in bioinformatics, computational biology, and data science, the author possesses a strong foundation in machine learning, statistical modeling, and microbial genomics. Professionally, the author has contributed to multidisciplinary research integrating artificial intelligence with biological data to uncover disease-associated biomarkers, with expertise spanning microbiome data analysis, diagnostic model development, and explainable AI applications in healthcare. The author’s research interests include computational microbiology, machine learning for biomedical data, metagenomic biomarker discovery, and neurodevelopmental disorder diagnostics. Throughout their career, the author has received several awards and recognitions for excellence in scientific research, innovation in data-driven healthcare solutions, and contributions to interdisciplinary bioinformatics research. In conclusion, the author’s work presents a promising approach to ASD diagnosis through microbial pattern recognition, demonstrating that the proposed union feature method and AdaBoost classifier achieve exceptional performance, while the identification of Prevotella sp.

Profile: Orcid

Featured Publications

Chen, Q., Wan, H., Huang, C., Ye, Y., & Li, D. (2025). The thermomechanical coupling in diamond/SiC composites. Diamond and Related Materials, 112936.

Huang, J., Li, Y., Yu, X., Liu, Z., Wang, F., Yue, Y., Zhang, R., Dai, R., Yang, K., Liu, H., … Chen, Q. (2024). Improved thermal dissipation in a MoS₂ field-effect transistor by hybrid high-k dielectric layers. ACS Applied Materials & Interfaces.

Zhao, F.-Y., Jiang, J., Bai, S.-X., Chen, Q., & Ye, Y.-C. (2024). Evaluating predictive scheme for thermomechanical properties of Si-diamond composites. Scientific Reports.

Chen, Q., Bai, S., & Ye, Y. (2023). Highly thermal conductive silicon carbide ceramics matrix composites for thermal management: A review. Journal of Inorganic Materials.

Chen, Q., Zhu, L., Bai, S., & Ye, Y. (2023). Preparation and properties of highly thermal conductive C/C–SiC. Materials Today Communications, 36, 106595.

Ye, Y., Ni, Z., Huang, C., Bai, S., & Chen, Q. (2022). Constitutive model of elastic response for Fe–TiB₂ composites. Materials Today Communications, 33, 104620.

Ye, Y.-C., Zhao, F.-Y., Huang, C.-M., Bai, S.-X., & Chen, Q. (2022). Multiscale simulation and experimental measurements of the elastic response for constructional steel. Scientific Reports.

Jia, J., Li, C., Chen, Q., Bai, S., Chang, J., Xiong, D., Gao, M., Li, S., & Xiao, J. (2022). Effects of SiC content on the mechanical and thermophysical properties of 3D Cf/SiC–Al composites. Ceramics International, 48(14), 19919–19929.

Williams Munonye | Sustainability | Best Researcher Award

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Mr. Williams Munonye | Sustainability | Best Researcher Award

Graduate Researcher | Linkoping University | Sweden

Williams Chibueze Munonye is a sustainability scientist and policy analyst based in Sweden whose work bridges industrial engineering, environmental science, circular economy, and socio-technical transitions. He has academic training in sustainable development and industrial engineering, complemented by professional experience in research, consultancy, and advocacy across low-carbon development, smart infrastructure, community energy, and regenerative economic models. His research explores circular economy integration in infrastructure and business systems, climate risk and green finance, geospatial intelligence for climate impact modelling, urban policy transitions, and participatory renewable energy governance for vulnerable populations. He has contributed to high-impact publications on urban circularity, sustainable finance, and metrics for transformative policy, and his expertise has been recognized through invited talks at international forums and leadership in sustainability networks and youth mentorship programs. With 11 citations across 11 documents, 4 Documents and an h-index of 2, his academic influence is steadily growing, reflecting both technical rigor and policy relevance. Honored for his commitment to inclusive sustainability transitions, he continues to advance research and practice that not only studies systems but actively designs interventions, provokes transformation, and crafts frameworks that reimagine resilient and equitable futures.

Profile:  Scopus | Orcid | Google Scholar

Featured Publications

Munonye, W. C. (2025). Integrating circular economy principles in business strategies: A policy-driven approach. Circular Economy and Sustainability.

 

 

 

 

 

Iryna Borys Bohoshevych | CAD-CAM materials | Best Researcher Award

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 Prof. Esra Cengiz-Yanardag| CAD-CAM materials |Best Researcher Award

 Prof.  Esra Cengiz-YanardagMersin University,Turkey.

Prof. Dr. Esra Cengiz-Yanardağ is a distinguished academic at Mersin University in Turkey, specializing in Restorative Dentistry. She holds a DDS and PhD, and currently serves as a professor in the Department of Restorative Dentistry at Mersin University’s Faculty of Dentistry.Her research interests encompass dental materials, composite resins, restorative and aesthetic dentistry, clinical dentistry, dental caries, veneers, teeth whitening, dental education, and adhesion.Prof. Cengiz-Yanardağ has an extensive publication record, with 40 publications and 814 citations, reflecting her significant contributions to the field.

Publication Profile

Scopus

Education :

Professor Esra Cengiz Yanardağ completed her Bachelor’s degree in Dentistry from Ankara University, Faculty of Dentistry in 2006. She then pursued her Doctoral studies in Restorative Dentistry at Near East University, where she defended her thesis in 2012, focusing on the effects of saliva contamination on micro-shear bond strength in composite resins applied with different adhesive systems.

Experience :

With a strong background in restorative dentistry, Prof. Yanardağ has held various academic positions. She began as a Research Assistant at Near East University in 2007 and later became a Lecturer (PhD) in 2012. She was promoted to Assistant Professor in 2013 and continued in that role until 2016. In the same year, she joined Mersin University, Faculty of Dentistry, as an Assistant Professor, where she was later promoted to Associate Professor in 2017 and ultimately to Professor in 2022 in the Department of Restorative Dentistry.

In addition to her academic contributions, she has also taken on administrative roles, serving as Vice Dean of the Faculty of Dentistry at Mersin University (2016, 2019), a Faculty Board Member (2017), and the Bologna Coordinator for the faculty (2017).

Research Focus :

Prof. Yanardağ’s research primarily revolves around adhesive dentistry, composite resin materials, bleaching agents, and restorative techniques. Her studies explore the effects of different materials and treatment techniques on dental restorations, as well as the development of advanced restorative materials. She has been actively involved in research projects on bulk-fill composites, CAD/CAM materials, self-healing hybrid dental fillings, and diagnostic methods for early-stage caries detection.

Awards:

Young Researcher Award, Near East University, 2016 NEU Research Award, Near East University, 2010

Publication :

 Conclusion

Prof. Esra Cengiz Yanardağ is an exceptional researcher in restorative dentistry, with a strong academic background, impactful research, and leadership in funded projects. Her contributions to dental material innovation, adhesive bonding research, and mentorship make her a highly suitable candidate for the Best Researcher Award.

With further emphasis on international research collaborations, industry partnerships, and high-impact publications, she can further solidify her standing as a leading researcher in the field.

 

CHENGJIE DAI | design | Best Researcher Award

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Dr.CHENGJIE DAI | design | Best Researcher Award

Dr, CHENGJIE DAI,Zhejiang University, China

Dr. Chengjie Dai is a prominent researcher from Zhejiang University, China. His work focuses on computational mechanics, structural optimization, and material design. With numerous publications in top-tier journals, Dr. Dai’s contributions advance the fields of mechanical engineering and computational simulation. He is recognized for innovative research integrating computational methods with practical engineering applications.

Summary:

Dr. Chengjie Dai has a strong educational background, demonstrated research capabilities, and practical experience that collectively position him as a leading candidate for the Research for Best Researcher Award. His focus on neural networks and image processing, along with his successful projects and publications, highlights his potential to influence the field positively.

Professional Profiles:

Scopus

🎓 Education :

Zhejiang University | School of Aeronautics and Astronautics | Ph.D. in Electronic Information
September 2020 – June 2025
Pursuing a Ph.D. in Electronic Information with a focus on neural network-based image compression. My research revolves around developing cutting-edge algorithms for optimizing image processing techniques, particularly within aerospace information technology. Under the guidance of Prof. Guanghua Song at the Institute of Aerospace Information Technology, I have been recognized as an Excellent Graduate Student for my academic achievements and contributions,University of Science and Technology Beijing | School of Mathematics and Physics | Bachelor’s in Mathematics and Applied Mathematics
September 2016 – June 2020,Graduated with a Bachelor’s degree in Mathematics and Applied Mathematics from the University of Science and Technology Beijing. I was actively involved in academic and extracurricular activities, earning honors such as Excellent League Member and two-time recipient of the Third-class Scholarship at USTB. My time here helped shape a strong foundation in mathematical theories and their application in real-world problem-solving

🏢 Experience:

Hikvision Digital Technology Co., Ltd. | Image Algorithm Engineer Intern
June 2024 – August 2024,Worked as an intern in the Video Algorithm and Circuit Department, focusing on codec development. I was involved in designing an H.265 proxy network for video pre-processing, encoding, and post-processing in IoT environments. My responsibilities included simulating the non-differentiable encoding/decoding process using proxy networks for gradient backpropagation, modifying HM source code, and creating algorithms to enhance image quality after encoding. My efforts contributed to significant improvements in intra-frame encoding performance,Smart Biomimetic Flapping-Wing UAV and Hybrid Swarm Intelligence | Compression Algorithm Development
June 2022 – Present,As part of a project focused on UAV technology, I developed a masked feature compression method for backend tasks, significantly reducing file size for small object detection while maintaining accuracy. This involved compressing low-level features extracted by edge devices (drones) using ROI prediction masks,SAIC Foundation | Mobile Edge Computing-Based Vehicle Network Services
February 2021 – October 2022,Led the development of a learnable downsampler–upsampler pair for image resolution scaling, reducing file size by 75% while retaining detection accuracy in mobile edge computing systems

🛠️Skills:

Programming Languages: Proficient in Python, C++, and PyTorch
Technical Proficiencies: Strong command of neural network image compression algorithms, experienced with the CompressAI framework and H.265 video compression standard
Software and Systems: Comfortable working in Linux environments, with proficiency in Git version control
Neural Network Architectures: Familiar with advanced models like Transformers and ResNet
Research Skills: Expertise in reading and analyzing English academic literature, with a focus on image compression and video encoding technologies,Languages: High proficiency in English, demonstrated by a score of 541 on the CET-6

Research Focus :

My research interests lie at the intersection of image compression and computer vision, with a particular focus on improving compression algorithms for high-level vision tasks. This includes image super-resolution, video encoding/decoding, and the development of proxy networks for standard video codecs. Additionally, I have explored applications in areas like satellite remote sensing and mobile edge computing, with projects addressing challenges in small object detection and hierarchical transformer-based image compression

🔬Awards:

Excellent Graduate Student of Zhejiang University
Third-Class Scholarship Recipient (twice) at the University of Science and Technology Beijing,Excellent League Member at the University of Science and Technology Beijing

Conclusion:

In conclusion, Dr. Dai’s combination of academic achievements, innovative research contributions, and industry experience make him a deserving candidate for the Research for Best Researcher Award. With continued focus on outreach, collaboration, and communication, he can further amplify his impact in the field of electronic information and contribute significantly to advancements in image compression and processing technologies.

Publications :

  • Masked Feature Compression for Object Detection
    • Citation: Dai, C., Song, T., Jin, Y., Yang, B., & Song, G.
    • Year: 2024
    • Journal: Mathematics, 12(12), 1848

 

  • ChatLsc: Agents for Live Streaming Commerce
    • Citation: Dai, C., Fang, K., Hua, P., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14735 LNAI, pp. 360–372

 

  • Optimizing Tutorial Design for Video Card Games Based on Cognitive Load Theory: Measuring Game Complexity
    • Citation: Li, C., Dai, C., & Chan, W.K.
    • Year: 2024
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics), 14730 LNCS, pp. 55–67

 

  • Build Belonging and Trust Proactively: A Humanized Intelligent Streamer Assistant with Personality, Emotion and Memory
    • Citation: Gao, F., Dai, C., Fang, K., Li, J., & Chan, W.K.V.
    • Year: 2024
    • Journal: Communications in Computer and Information Science, 1958 CCIS, pp. 140–147

 

  • Image Resizing for Object Detection: A Learnable Downsampler-Upsampler Pair with Differentiable Image Entropy Estimation
    • Citation: Dai, C., Chen, Q., Xu, J., Song, G., & Yang, B.
    • Year: 2023
    • Journal: International Journal of Pattern Recognition and Computer Aided Design In Mechanical Engineering, 37(8), 2354011

 

  • Intelligent Detection of Disinformation Based on Chronological and Spatial Topologies
    • Citation: Hsu, R.-H., Chen, B.-J., & Dai, C.-J.
    • Year: 2023
    • Journal: 2023 9th International Conference on Applied System Innovation, ICASI 2023, pp. 258–260

 

Hadi Mohammadi | design | Best Researcher Award

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Prof. Hadi Mohammadi | design | Best Researcher Award

Prof, Hadi Mohammadi, University of British Columbia, Canada,

Professor Hadi Mohammadi is a distinguished academic at the University of British Columbia in Canada. He is known for his significant contributions to mechanical engineering, particularly in the areas of biomechanics and biomedical engineering. With a strong focus on innovation and interdisciplinary research, Professor Mohammadi has made impactful advancements in the design and development of medical devices. His work is widely recognized, and he is an active member of various professional organizations. Through his teaching and research, Professor Mohammadi continues to inspire the next generation of engineers and researchers.

Summary:

Professor Hadi Mohammadi exhibits a distinguished career marked by significant contributions to biomedical engineering through his extensive research, innovative patents, and leadership in academia. His work is characterized by a blend of theoretical research and practical applications, particularly in medical device development

Professional Profiles:

Scopus

🎓 Education :

Western University, London, Ontario, Canada (2003 – 2009),Ph.D. in Biomedical Engineering,Dissertation: Design and Simulation of Heart Valve Prostheses,Supervisor: Dr. W.K. Wan, Fordham Center for Biomedical Engineering Research, Biomedical Engineering Graduate ProgramSharif University of Technology, Tehran, Iran (1997 – 2000),M.Sc. in Mechanical Engineering,Dissertation: Analysis and Optimization of Pyrolytic Carbon-Based Bileaflet Mechanical Heart Valve Prostheses in Cyclic Loading Conditions,Supervisors: Drs. M.T. Ahmadian and M.H. Kargarnovin, School of Mechanical Engineering,Sharif University of Technology, Tehran, Iran (1993 – 1997),B.Sc. (Hons) in Mechanical Engineering,B.Sc. (Hons) in Mathematics,Dissertation: Design and Manufacturing of a Digital 3-DOF Knee Kinematic Motion Analyzer,Supervisor: Dr. K. Firoozbakhsh, School of Mechanical Engineering

💼 Experience:

University of British Columbia, Okanagan Campus,Associate Professor (July 2020 – Present),Assistant Professor (January 2013 – July 2020),Established the Heart Valve Performance Laboratory (HVPL) focusing on cardiovascular engineering and technology, particularly the development of polymeric heart valve prostheses and minimally invasive techniques.,Harvard Medical School, Massachusetts General Hospital, Department of Dermatology,Postdoctoral Fellow (September 2011 – December 2012),Conducted advanced research in biomedical engineering, contributing to the understanding and development of biomedical devices.,University of Calgary, Faculty of Kinesiology,Postdoctoral Fellow (June 2010 – September 2011),Engaged in biomechanical research, focusing on the dynamics and performance of prosthetic devices.

🛠️ Skills:

Biomedical Engineering: Expertise in cardiovascular technology, particularly heart valve prostheses.,Mechanical Engineering: Strong foundation in design, analysis, and optimization of mechanical systems.,Computational Modeling: Proficient in developing computational models for biomedical applications.,Research and Development: Extensive experience in pioneering new techniques for tissue engineering and biomedical device innovation.,Teaching and Mentorship: Proven track record in academia with experience in course development, student supervision, and mentorship.

🏆 Awards:

Innovator’s Challenges Fund, 2nd Place (2021): Vancouver General Hospital, Faculty of Medicine,Project: Soft Robotics, Nanotech, and the Next Technological Leap of Treating Erectile Dysfunction,Awarded $25,000 CAD

🔬 Research Focus:

Cardiovascular Engineering and Technology,Over two decades of research focusing on heart valve prostheses, including the development of suitable biomaterials for polymeric valves and the creation of computational and experimental tools for performance assessment.,Heart Valve Leaflet Tissue Engineering,Pioneered new techniques for tissue engineering, contributing significantly to the advancement of minimally invasive heart valve replacement options. Established the Heart Valve Performance Laboratory (HVPL) at UBC, which has become a leading research center in this field.

Conclusion:

The breadth and depth of his research, coupled with his role in advancing the field through teaching and patents, make him a strong candidate for the Best Researcher Award.

Publications :

  • Goode, D., Scotten, L., Siegel, R., Mohammadi, H. – “Can mechanical heart valves perform similarly to tissue valves? An in vitro study,” Journal of Biomechanics, 2024, 174, 112270.
    • This study likely investigates the performance of mechanical heart valves compared to tissue valves using in vitro methods.

 

  • Schmidt, J., Goode, D., Flannigan, R., Mohammadi, H. – “A review of the experimental methods and results of testing the mechanical properties of Tunica Albuginea,” Journal of Medical Engineering and Technology, 2023, 47(4), pp. 234–241.
    • This review covers experimental methods and results related to the mechanical properties of the Tunica Albuginea.

 

  • Shah, M., Goode, D., Mohammadi, H. – “Computational study and validation of a novel passive hand tremor attenuator,” Journal of Medical Engineering and Technology, 2023, 47(3), pp. 157–164.
    • This article presents a computational study and validation of a new device designed to reduce hand tremors.

 

  • Goode, D., Dhaliwal, R., Mohammadi, H. – “Valve interstitial cells under impact load, a mechanobiology study,” Journal of Medical Engineering and Technology, 2023, 47(1), pp. 54–66.
    • This study examines the response of valve interstitial cells to impact loads from a mechanobiology perspective.

 

  • Irannejad Parizi, M., Ahmadian, M.T., Mohammadi, H. – “Interaction analysis of a pregnant female uterus and fetus in a vehicle passing a speed bump,” Journal of Biomechanics, 2021, 118, 110257.
    • This article analyzes the interaction between a pregnant uterus and fetus during a vehicular impact.

 

  • Masoumi, M., Kmanzi, S., Wang, H., Mohammadi, H. – “Design and fabrication of a novel passive hand tremor attenuator,” Journal of Medical Engineering and Technology, 2021, 45(8), pp. 597–605.
    • This publication details the design and creation of a new device aimed at attenuating hand tremors.

 

  • Kermen, E., Mohammadi, H. – “Mechanics of foot orthotics: material properties,” Journal of Medical Engineering and Technology, 2021, 45(8), pp. 627–641.
    • This review focuses on the mechanical properties of materials used in foot orthotics.

 

  • Mohammadi, H., Bhullar, A. – “The Apex bileaflet mechanical heart valve,” Journal of Medical Engineering and Technology, 2021, 45(1), pp. 41–51.
    • This article discusses the Apex bileaflet mechanical heart valve.

 

  • Goode, D., Kermen, E., Mohammadi, H. – “Wrinkle-induced tear in the mitral valve leaflet tissue: a computational model,” Journal of Medical Engineering and Technology, 2020, 44(6), pp. 346–353.
    • This study uses computational modeling to analyze tears in mitral valve leaflet tissue caused by wrinkles.

 

  • Goode, D., Dhaliwal, R., Mohammadi, H. – “Transcatheter Mitral Valve Replacement: State of the Art,” Cardiovascular Engineering and Technology, 2020, 11(3), pp. 229–253.
    • This review provides an overview of the current state of transcatheter mitral valve replacement technologies.