Oluwaseun Victoria Fatoye | Sustainable Development | Women Researcher Award

Ms. Oluwaseun Victoria Fatoye | Sustainable Development | Women Researcher Award

Lecturer 2 | Anchor University Lagos | Nigeria

Ms. Oluwaseun Victoria Fatoye demonstrates strong and steadily expanding research capabilities, reflected in her 26 citations and h-index of 3, supported by a solid record of multidisciplinary publications in hydro-geophysics, groundwater studies, atmospheric sciences, and ionospheric responses to meteorological disturbances. Her strengths include consistent research productivity across reputable journals, active collaboration with diverse research groups, and practical expertise gained through roles such as Lecturer II at Anchor University and Research Intern at the South African National Space Agency, where she handled meteorological and VLF space data analysis and delivered periodic research reports, showcasing her analytical rigor and scientific communication skills. She has contributed significantly to groundwater evaluation, geophysical survey interpretation, climate-related ionospheric studies, and environmental monitoring, displaying versatility and commitment to socially relevant scientific problems. Her participation in international conferences, funded research programs like the SCOSTEP Visiting Scholar Award, and involvement in interdisciplinary workshops further highlight her dedication to continuous growth and global scientific engagement. Areas for improvement include increasing publication frequency in high-impact international journals to enhance global visibility, expanding first-author contributions, and deepening specialization in emerging topics such as satellite-based geophysical modelling or advanced atmospheric-ionospheric coupling mechanisms. Strengthening grant-writing capacity and growing international collaborations could further accelerate her research impact. Looking ahead, Oluwaseun Victoria Fatoye shows strong potential to become a leading researcher in environmental geophysics and space-weather science, with opportunities to advance innovative methodologies for groundwater resource management, ionospheric disturbance forecasting, and climate-related hazard mitigation. Her multidisciplinary foundation, field experience, and growing international exposure position her to make meaningful scientific contributions, mentor future scholars, and shape research directions in hydro-geophysics, geoscience applications, and atmospheric-space interactions over the coming years.

Profile: Google Scholar
Publications

Nwankwo, V. U. J., Denig, W., Chakrabarti, S. K., Ogunmodimu, O., Ajakaiye, M. P., … (2022). Diagnostic study of geomagnetic storm-induced ionospheric changes over very low-frequency signal propagation paths in the mid-latitude D region. Annales Geophysicae, 40(4), 433–461. https://doi.org/10.5194/angeo-40-433-2022

Ibiwoye, J. O., Fatoye, O. V., Ayeni, J. K., Olasehinde, D. A., Ibrahim, T. A., … (2024). Evaluation of groundwater potential and aquifer protective capacity using Dar-Zarrouk parameters: A case study of Kwara State Polytechnic, Kwara State, Nigeria. Anchor University Journal of Science and Technology, 5(1), 107–123.

Olawuyi, A. K., Fatoye, O. V., Adeyanju, M. A., Oyanameh, O. E., & Arowosafe, K. O. (2022). Fracture delineation and characterization for groundwater study using azimuthal resistivity survey: Case study of part of University of Ilorin, Southwestern Nigeria. Nigerian Journal of Scientific Research, 21(2), 436–445.

Arowosafe, K. O., Bamgboye, A. I., Adesanya, A. A., Odugbose, B. D., Olannye, U. D., … (2022). Biofuel production from locally sourced roselle (Hibiscus sabdariffa L.) seed oil using transesterification process. Nigerian Journal of Technology, 41(1), 191–196. https://doi.org/10.4314/njt.v41i1.21

Adebayo, S. A., Olasehinde, P. I., Obasaju, D. O., Fatoye, O. V., & Alejolowo, E. A. (2021). Investigation of structurally controlled mineralisation in Bode-Saadu axis, southwestern Nigeria: A case study using magnetic data. Arabian Journal of Geosciences, 14(13), 1243. https://doi.org/10.1007/s12517-021-07146-3

Fuat Aras | Structural Engineering | Research Excellence in Civil and Environmental Engineering Award

Prof. Fuat Aras | Structural Engineering | Research Excellence in Civil and Environmental Engineering Award

Istanbul Medeniyet University | Turkey

Prof. Fuat Aras is a distinguished civil engineer whose academic and research trajectory demonstrates substantial contributions to structural dynamics, earthquake engineering, and the protection of historical and modern infrastructures. With extensive experience as Professor in the Civil Engineering Department at Istanbul Medeniyet University, he has built a strong research portfolio grounded in experimental and numerical analyses of reinforced concrete and masonry structures, dynamic characterization, structural health monitoring, and seismic retrofitting. His scholarly accomplishments include numerous SCI/SCIE-indexed journal publications, books, and international conference papers, reflecting a consistent commitment to advancing global knowledge in earthquake-resistant design and the preservation of cultural heritage structures. Prof. Aras has coordinated several national research projects funded by TUBITAK, focusing on innovative technologies for improving building performance, dynamic behavior evaluation, and damage assessment, while also contributing to major European Union–supported initiatives on seismic protection. He has supervised multiple graduate theses on structural monitoring, retrofitting strategies, and seismic performance, indicating strong mentorship and academic leadership. His long-standing collaborations with national and international institutions, including partnerships with researchers in Türkiye, Europe, and the United States, highlight his interdisciplinary and global impact. In addition to his research excellence, he has held key administrative roles such as department chair and vice dean, strengthening institutional development and academic governance. His body of work has supported safer community infrastructures by providing evidence-based insights into building behavior, seismic vulnerabilities, and preservation strategies, thereby contributing significantly to societal resilience. With extensive teaching experience in core structural engineering courses and expertise in advanced analytical tools, Prof. Aras continues to shape the next generation of engineers while expanding research frontiers in structural dynamics and earthquake engineering, positioning him as a highly influential figure with strong future potential for further impact in his field.

Profile: Google Scholar | ORCID
Publications

Aras, F., Krstevska, L., Altay, G., & Tashkov, L. (2011). Experimental and numerical modal analyses of a historical masonry palace. Construction and Building Materials, 25(1), 81–91.

Namli, M., & Aras, F. (2020). Investigation of effects of dynamic loads in metro tunnels during construction and operation on existing buildings. Arabian Journal of Geosciences, 13(11), 424.

Aras, F., & Altay, G. (2015). Investigation of mechanical properties of masonry in historic buildings. Građevinar, 67(5),

Aras, F., & Altay, G. (2015). Seismic evaluation and structural control of the historical Beylerbeyi Palace. Structural Control and Health Monitoring, 22(2), 347–364.

Aras, F., & Düzci, E. (2018). Seismic performance of traditional stone masonry dwellings under Çanakkale seismic sequences. Journal of Performance of Constructed Facilities, 32(4), 04018029.

Konstantinos Daniel Tsavdaridis | Steel Structures | Best Researcher Award

Prof.Dr. Konstantinos Daniel Tsavdaridis | Steel Structures | Best Researcher Award

Professor of Structural Engineering | University of London | United Kingdom

Prof. Konstantinos Daniel Tsavdaridis is an internationally distinguished scholar in Structural Engineering, currently serving as Professor and Chair of Structural Engineering and Head of the Structural Engineering Laboratory at City St George’s, University of London. He also leads the 3-D Modular Building Construction research group and the Rapid Rebuild Ukraine initiative, demonstrating his commitment to innovation and societal resilience in the built environment. His research focuses on seismic- and fire-resistant steel, composite, and hybrid structures, digital design, and modern construction methods including modular and reusable steel systems. With extensive work on structural topology optimisation, AI-driven design, and sustainable material strategies, he has significantly contributed to advancing safety, efficiency, and circularity in the construction sector. Prof. Tsavdaridis has authored a substantial body of research with a Scopus h-index of 44, over 6,500 citations, and 131 i10-index publications, reflecting strong academic impact and global recognition. His portfolio includes more than £8.5 million in funded research, covering UKRI, EPSRC, Innovate UK, and major industrial collaborations, alongside successful leadership of multi-institutional and international grant proposals. He has secured patents in advanced modular connections and prefabricated systems, further demonstrating technology transfer and industry-driven innovation. His leadership roles expand across professional committees, including standardization bodies of Eurocodes and structural design organizations, where he contributes to shaping future engineering guidelines. A dedicated mentor and educator, he has supervised numerous PhD and post-doctoral researchers globally, building strong collaborations with universities and industry partners across Europe, Asia, and the Middle East. His achievements have been recognized through prestigious honors, such as the Leverhulme Trust Senior Research Fellowship and multiple excellence awards. Prof. Tsavdaridis’ work continues to influence sustainable urban development, resilient infrastructure, and cutting-edge construction innovations—making a meaningful contribution to safer communities and future-ready civil engineering worldwide.

Profile: Scopus | Google Scholar
Publications:

Tsavdaridis, K. D., & D’Mello, C. (2011). Web buckling study of the behaviour and strength of perforated steel beams with different novel web opening shapes. Journal of Constructional Steel Research, 67(10), 1605–1620.

Ahmed, I. M., & Tsavdaridis, K. D. (2019). The evolution of composite flooring systems: Applications, testing, modelling and Eurocode design approaches. Journal of Constructional Steel Research, 155, 286–300.

Tsavdaridis, K. D., & D’Mello, C. (2012). Vierendeel bending study of perforated steel beams with various novel web opening shapes through nonlinear finite-element analyses. Journal of Structural Engineering, 138(10), 1214–1230.

Tsavdaridis, K. D., Kingman, J. J., & Toropov, V. V. (2015). Application of structural topology optimisation to perforated steel beams. Computers & Structures, 158, 108–123.

Tsavdaridis, K. D., & D’Mello, C. (2012). Optimisation of novel elliptically-based web opening shapes of perforated steel beams. Journal of Constructional Steel Research, 76, 39–53.

Julia Wood | Urban Planning | Best Researcher Award

Ms. Julia Wood | Urban Planning | Best Researcher Award

University of Cape Town | South Africa

Ms. Julia Wood is an accomplished biodiversity and conservation specialist with extensive experience in managing sensitive ecosystems and promoting sustainable development. Her career spans leadership roles in municipal environmental management, applied ecological research, and conservation advocacy, reflecting a strong commitment to safeguarding South Africa’s unique natural heritage. With academic training including a BSc (Botany, Zoology), BSc Honours in terrestrial ecology, and an MSc in Botany focused on the natural vegetation of the Robertson Karoo, she is currently advancing her expertise through a PhD in Environmental and Geographical Studies. Her research examines critical factors that influence effective conservation action, addressing real-world implementation challenges in biodiversity planning and environmental governance. Throughout her tenure with the City of Cape Town—currently as Manager of Biodiversity Management—she has overseen 20 protected areas and coordinated the execution of strategic biodiversity initiatives, including the Local Biodiversity Strategy and Action Plan and fine-scale conservation plans. Her work integrates ecological protection with vital societal goals such as job creation, skills development, and environmental education, ensuring conservation efforts deliver measurable community benefit. Julia’s contributions include numerous publications, project leadership roles at WWF-SA’s Table Mountain Fund, and significant involvement in watershed and ecosystem-based management across diverse natural landscapes. Her collaborations extend across governmental agencies, non-profit organizations, and community stakeholders, strengthening regional responses to climate change, ecological restoration, and urban development pressures. An award-winning professional, she is respected for advancing evidence-based conservation strategies that enhance resilience and protect biodiversity in one of the world’s most ecologically significant regions. This continued dedication demonstrates her capacity to motivate progress, build partnerships, and contribute meaningfully to global environmental sustainability.

Profile: Scopus
Publications

Coordinating invasive alien species management in a biodiversity hotspot: The CAPE Invasive Alien Animals Working Group. Bothalia. 2020

Guangyang Liu | Environmental Risk Assessment | Research Excellence Award

Prof. Guangyang Liu | Environmental Risk Assessment | Research Excellence Award

Deputy director | Chinese Academy of Agricultural Sciences | China

Prof. Guangyang Liu is a Research Fellow, Ph.D. supervisor, and CAAS Young Talent at the Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences (CAAS). His research focuses on nutritional quality and safety control of vegetable products, integrating multidisciplinary approaches across analytical chemistry, horticulture, nanoscience, and materials science. His work aims to address global challenges in food safety, sustainable agriculture, and public health through innovative nanotechnology-enabled solutions. Dr. Liu has made notable contributions to the development of advanced porous organic nanomaterials, the detection and control of agricultural chemical contaminants, and the enhancement of nutritional quality in vegetables. He has successfully established a comprehensive technology system that supports new nanomaterial creation, rapid pollutant detection, controlled removal, and the separation and purification of bioactive compounds. His research outcomes have significantly advanced risk assessment, quality evaluation, and safety assurance in vegetable production. He has published 129 academic papers, including 90 SCI papers, with 56 as first or corresponding author in leading journals such as Chemical Engineering Journal, Journal of Hazardous Materials, TrAC Trends in Analytical Chemistry, and Food Chemistry. His publications have achieved a cumulative impact factor exceeding 395, with 21 papers in journals of impact factor above 8, and 12 above 10. His work has earned two ESI Highly Cited Papers and an H-index of 32. Dr. Liu holds 22 authorized invention patents, has edited multiple monographs, and contributed to national agricultural standards. His achievements have been widely recognized, including the National Commercial Science and Technology Progress Award (First Prize), CAAS Young Talent honors, Sigma Xi Full Membership, and listing among the World’s Top 2% Scientists. He serves on expert panels, editorial boards, and international review committees, reinforcing his influence in advancing global food safety and agricultural sustainability.

Research Profiles: Scopus | ORCID
Publications

Analysis of microstructure properties of Ni–Fe MOFs and their influence on selective recognition of single and binary dye systems. npj Clean Water. (2 citations)

Enhanced insecticidal activity and bioavailability of thiacloprid from pH-responsive porous MPN(Fe)@ZIF-8 nanocarrier. Journal of Cleaner Production.

Coral-like magnetic metal–organic framework for selective adsorption and detection of thiabendazole in tomato and Chinese cabbage samples. Foods.

Matrix interference of vegetable on enzyme-linked immunosorbent assay for parathion residue detection. Foods.

Cheng Yan | Sustainable Development | Best Researcher Award

Prof. Dr. Cheng Yan | Sustainable Development | Best Researcher Award

Deputy Dean of the School of Artificial Intelligence | Jiangxi Normal University | China

Prof. Dr. Cheng Yan is a Professor and doctoral supervisor specializing in intelligent information processing, deep learning and affective computing, artificial intelligence and big data, and intelligent education. She earned her PhD from Tongji University and completed a postdoctoral fellowship at the university’s Computer Science and Technology Mobile Station. She has also undertaken academic visiting research at California State University, Fullerton (CSUF), in the United States. Since 2012, she has held the rank of professor. Dr. Cheng currently serves as Vice Dean of the School of Artificial Intelligence at Jiangxi Normal University, overseeing research and graduate education. She is also Director of the Jiangxi Provincial Key Laboratory of Intelligent Information Processing and Affective Computing, as well as a recognized provincial academic and technical leader. She has been selected for the national “Western Light” Talent Program. She holds multiple professional roles, including committee member and Deputy Secretary-General of the Intelligent Education Committee of the Chinese Association of Automation, and Chair of the Intelligent Education Committee of the Jiangxi Digital Economy Society. She is an expert reviewer for the National Natural Science Foundation of China, National Social Science Fund projects, degree thesis evaluations of the Ministry of Education, and several provincial scientific and technological programs. She serves as reviewer and editorial board member for multiple leading domestic and international journals. Dr. Cheng has led four national-level research projects and over twenty major or key provincial projects, and has participated in national key research initiatives such as the “Tenth Five-Year” major project on network education. She has published over 70 SSCI, SCI, EI, and CSSCI-indexed papers, authored two monographs, and supervised students who have received national and provincial scholarships and academic honors. Her work has earned numerous awards, including Best Research Award, Young Scientist Award, provincial first prizes in teaching and scientific research, and multiple patents and software copyrights. Her research continues to contribute significantly to the advancement of intelligent education and artificial intelligence applications.

Profile: Scopus
Publications

An expensive multi-objective evolutionary algorithm based on grid and relation learning. Applied Soft Computing.

Study on interpretable shallow class activation mapping algorithm based on spatial weights and inter-layer correlation. Computer Science China.

Semantic injection and multi-scale cross-axis attention-based portrait segmentation model. Signal, Image and Video Processing.

Mehran Akhavan | Tall building | Best Researcher Award

Dr. Mehran Akhavan | Tall building | Best Researcher Award

Islamic Azad University | Iran

Dr. Mehran Akhavan Salmassi is a dedicated structural engineering researcher whose work focuses on advancing the safety, resilience, and performance of modern infrastructure systems. Holding a Ph.D. in Structural Engineering from the Islamic Azad University, Semnan Branch, he has developed a strong academic and research profile grounded in innovation, analytical rigor, and global engagement. His core areas of expertise include tall building engineering, structural control, and the development of high-performance structural systems capable of withstanding dynamic loads and extreme environmental conditions. Over the years, Dr. Salmassi has contributed significantly to the field through 18 peer-reviewed publications, reflecting both theoretical advancements and practical engineering solutions. His research also includes three recognized novelties, demonstrating his commitment to pioneering new methods and expanding current engineering knowledge. Dr. Salmassi actively contributes to the scientific community as a reviewer for three international journals, supporting the peer-review process and ensuring high-quality scholarly dissemination. His reputation as a knowledgeable and engaging scholar has earned him invitations as a speaker and distinguished speaker in more than 20 international conferences, where he has presented research findings, shared technical insights, and collaborated with experts across the globe. Through his growing academic footprint, he continues to foster meaningful collaborations that bridge research, industry practice, and societal needs. His work emphasizes the importance of innovation in structural engineering, particularly in the design of safe and sustainable tall buildings for rapidly developing urban environments. Driven by a passion for scientific excellence and public safety, Dr. Salmassi aims to contribute solutions that not only advance engineering practice but also inspire emerging researchers in the field.

Profile: Google Scholar
Publications

Akhavan Salmassi, M., Kheyroddin, A., & Hemmati, A. (2020). Seismic behavior of end walls in RC tall buildings with torsional irregularity. Magazine of Civil Engineering, 97(07).

Salmassi, M. A., Kheyroddin, A., & Hemmati, A. (2024). Enhancement of the performance of two tall buildings with end shear walls using nonlinear time history analysis: A case study. Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Akhavan Salmassi, M., Kheyroddin, A., & Hemmati, A. (2023). Evaluation of reinforced concrete tall buildings with end shear walls subjected to sequences far from the fault. Scientia Iranica.

Kheyroddin, A., & Akhavan Salmassi, M. (2018). Effect of end walls in tall buildings with square plan and flexural concrete frames under earthquake. In 7th National and 3rd International Conference on Modern Materials and Structural Systems.

Akhavan Salmassi, M., Kheyroddin, A., & Hemmati, A. (2021). Seismic behavior of tall buildings with end shear walls and opening. Journal of Seismology and Earthquake Engineering, 23(2), 55–70.

Akhavan Salmassi, M., Gerami, M., & Heidari Tafreshi, A. (2019). Evaluation of flexible steel frame structures with post-tensioned cables to sequences far from fault. Journal of Structural and Construction Engineering, 6(Special Issue 3), 221–234.

Alireza Javid | Concrete and FRP-strengthened structures | Research Excellence Award

Mr. Alireza Javid | Concrete and FRP-strengthened structures | Research Excellence Award

Graduate Researcher in Structural Engineering | Sharif University of technology | Iran

Alireza Javid is a civil and structural engineering researcher whose work centers on sustainable construction materials, structural health monitoring, and the integration of advanced machine learning techniques into structural assessment and design. He holds an M.Sc. in Structural Engineering from Sharif University of Technology, where his research investigated the effects of high temperatures on cement bonding and pozzolanic concrete. His scholarly contributions reflect a strong interdisciplinary foundation, bridging experimental mechanics, data-driven modeling, and computational optimization. Javid has authored multiple peer-reviewed journal articles in high-impact international outlets, with published work addressing machine learning–based predictions of concrete compressive strength, bond behavior in FRP–timber systems under thermal cycling, high-temperature concrete overlay interactions, and the mechanical characterization of industrial by-product concrete. His publications collectively exceed 40 citations, demonstrating growing recognition within the structural materials and AI-in-construction communities. His research also extends to ultrasonic pulse velocity prediction, temperature-dependent performance of fiber-reinforced concrete, and microstructural deterioration of FRP composites in aggressive environments. Several manuscripts under review explore impact resistance of stabilized rammed earth, acid-rain durability of composite materials, and environmental effects on geopolymer concretes. In addition, he is preparing works on crack simulation, nano-engineered materials, and deep-learning-based crack classification, highlighting his expanding focus on intelligent infrastructure systems. As a research assistant at Sharif University of Technology, Javid has developed high-accuracy predictive models using CatBoost, gradient boosting, and novel optimization algorithms, achieving R² values up to 0.99 across various structural datasets. His work consistently emphasizes societal needs such as sustainability, material efficiency, and resilience under extreme conditions.

Profile: Google Scholar
Publications

Javid, A., & Toufigh, V. (2024). Utilizing ensemble machine learning and gray wolf optimization to predict the compressive strength of silica fume mixtures. Structural Concrete, 25(5), 4048–4074.

Javid, A., Javid, E., & Toufigh, V. (2025). High-temperature bond strength evaluation of concrete overlays with industrial by-products: Experimental and analytical approaches using machine learning. Engineering Applications of Artificial Intelligence, 153, 110954.

Lotfalipour, F., Javid, A., & Toufigh, V. (2025). Boosting algorithms for predicting the bond properties of timber and fiber reinforced polymer (FRP) under thermal cycling using single-lap shear tests. European Journal of Wood and Wood Products, 83(2), 83.

Mohsennia, E., Javid, A., & Toufigh, V. (2025). Advanced machine learning techniques for predicting compressive strength and ultrasonic pulse velocity of concrete incorporating industrial by-products. Case Studies in Construction Materials, e04801.

Javid, A., Kamali, H., & Toufigh, V. (2025). Compressive strength prediction of fiber-reinforced concrete under varied temperature conditions using machine learning. Construction and Building Materials, 504, 144648.

Majdi Benamara | Environmental Engineering | Breakthrough Research Award

Dr. Majdi Benamara | Environmental Engineering | Breakthrough Research Award

Postdoc | University of Minho | Portugal

Dr. Majdi Benamara is a dedicated researcher in physics whose work spans advanced functional materials, nanostructured oxides, and energy‐related applications. With a publication record of 22 peer-reviewed articles, his contributions demonstrate strong expertise in semiconductor metal oxides, ferroelectric thin films, photocatalysts, and gas-sensing materials. His research consistently integrates experimental synthesis, structural and electrical characterization, and application-driven performance evaluation. Over the years, he has collaborated with multidisciplinary teams across Switzerland, Portugal, Belgium, Spain, and Tunisia, contributing to internationally relevant projects focused on sustainable materials and next-generation electronic devices. His recent appointment as a researcher at EMPA – Swiss Federal Laboratories for Materials Science and Technology reflects his growing impact in advanced materials engineering, particularly in building energy materials and hybrid oxide systems. Previous research experience at the University of Minho involved ferroelectricity in binary oxide thin films for high-performance capacitors, further solidifying his expertise in electronic materials and thin-film technologies. Earlier roles and internships at Materia Nova (Belgium), the University of Aveiro (Portugal), and the University of Sevilla (Spain) contributed to his strong technical foundation in sol–gel chemistry, supercritical drying, spark plasma sintering, pulsed laser deposition, and ion-beam sputtering. Dr. Benamara’s work has generated advances in gas sensors for environmental monitoring, visible-light photocatalysts for pollutant degradation, and doped oxide systems for electronic and dielectric applications. His collaborations with leading researchers and laboratories have strengthened his scientific visibility and enabled the development of innovative materials addressing global challenges in air quality, environmental remediation, and sustainable energy technologies. Through his consistent scholarly output and broad experimental capabilities, he continues to contribute significantly to the progress of materials science and applied physics on an international scale.

Profile: Google Scholar
Publications

1. Bembibre, A., Benamara, M., Hjiri, M., Gómez, E., Alamri, H. R., Dhahri, R., & others. (2022). Visible-light driven sonophotocatalytic removal of tetracycline using Ca-doped ZnO nanoparticles. Chemical Engineering Journal, 427, 132006.

2. Jaballah, S., Benamara, M., Dahman, H., Ly, A., Lahem, D., Debliquy, M., & El Mir, L. (2020). Effect of Mg-doping ZnO nanoparticles on detection of low ethanol concentrations. Materials Chemistry and Physics, 255, 123643.

3. Jaballah, S., Benamara, M., Dahman, H., Lahem, D., Debliquy, M., & El Mir, L. (2020). Formaldehyde sensing characteristics of calcium-doped zinc oxide nanoparticles-based gas sensor. Journal of Materials Science: Materials in Electronics, 31(11), 8230–8239.

4. Benamara, M., Gómez, E., Dhahri, R., & Serrà, A. (2021). Enhanced photocatalytic removal of cyanotoxins by Al-doped ZnO nanoparticles with visible-LED irradiation. Toxins, 13(1), 66.

5. Benamara, M., Massoudi, J., Dahman, H., Dhahri, E., El Mir, L., Ly, A., & others. (2020). High response to sub-ppm level of NO₂ with 50% RH of ZnO sensor obtained by an auto-combustion method. Journal of Materials Science: Materials in Electronics, 31(17), 14249–14260.

Meiqian Wang | Geotechnical Engineering | Best Innovation Award

Prof. Meiqian Wang | Geotechnical Engineering | Best Innovation Award

Professor | Kunming University of Science and Technology | Best Innovation Award

Prof. Meiqian Wang is a researcher and faculty member at Kunming University of Science and Technology, specializing in geotechnical mechanics, geological engineering, and engineering project management. His work focuses on the mechanical behavior, sandification mechanisms, and disaster-control technologies of sandy dolomite, contributing to major infrastructure projects in Southwest China. He has led two research projects and participated in several significant initiatives, including a major science and technology project of the Yunnan Provincial Science and Technology Department, multiple National Natural Science Foundation projects, open fund studies, and enterprise-oriented engineering investigations. During his doctoral period, he achieved notable academic productivity, publishing seven first-author papers, including five SCI-indexed articles—with one in a top-tier journal—and one core Chinese publication. His work has also extended to engineering geology, machine-learning-based rock property evaluation, and structural stability analyses in complex geological conditions. In addition to scholarly publications, he has contributed substantially to scientific and technological innovation, holding one invention patent, five utility model patents, and four computer software copyrights related to rock mechanics testing, data acquisition, and analysis systems. He has collaborated extensively with interdisciplinary teams on tunnel engineering, rock mass behavior, and large water-diversion project studies, further enhancing the scientific understanding of rock sandification processes. His professional contributions include serving as a journal editorial board member and reviewer for several SCI journals in civil engineering and geosciences, reflecting his growing international academic presence. His research has delivered tangible societal benefits by supporting safer, more efficient design and construction practices in high-risk geological environments, thereby advancing regional infrastructure resilience and sustainability.

Profiles: ORCID
Publication:

Wang, M., Xu, W., Mu, H., Mi, J., Wu, Y., & Wang, Y. (2022). Study on construction and reinforcement technology of dolomite sanding tunnel. Sustainability, 14(15)