Deividi Maurente-Silva | Concrete Technology | Best Researcher Award

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Mr. Deividi Maurente-Silva | Concrete Technology | Best Researcher Award

Federal University of Rio Grande do Sul | Brazil

Mr. Deividi Maurente-Silva is a PhD candidate in Civil Engineering at the Federal University of Rio Grande do Sul, specializing in concrete technology, environmentally friendly cementitious materials, and biologically driven self-healing systems. His academic path builds on a strong foundation in materials science and civil engineering, supported by research roles that explore sustainable innovations for cement-based matrices. He has contributed to national collaborative projects involving multiple universities focused on optimizing healing agents and advancing self-healing concrete alternatives, and he has developed patented apparatus technology for standardized cracking procedures. His research spans autogenous and biologically induced healing mechanisms, calcium-based stimuli, and advanced characterization techniques, reflected in publications in journals such as Construction and Building Materials, Materials, Materia, and Ambiente Construído. Alongside his scholarly work, he has engaged in consultancy-aligned initiatives targeting performance improvement in sustainable cement composites. His professional profile is strengthened by participation in research networks, contributions to interdisciplinary groups, and involvement in academic development activities, supported by measurable research impact that includes 6 citations, 2 publications, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

1. Deividi Maurente-Silva, Joao Vitor Bitencourt Borowski, Angela Borges Masuero, Denise Carpena Coitinho Dal Molin, Quantifying the self-healing phenomenon in cement-based materials: Insights from ultrasound tests and optical microscopy. Constr. Build. Mater., 2025, 143899.

2. Deividi Gomes Maurente-Silva, Joao Vitor Bitencourt Borowski, Vanessa Giaretton Cappellesso, Marilene Henning Vainstein, Angela Borges Masuero, Denise Carpena Coitinho Dal Molin, Effect of exposure environment and calcium source on the biologically induced self-healing phenomenon in a cement-based material. Buildings, 2024, 14, 3782.

3. Janaine Fernanda Gaelzer Timm, Roberta Picanco Casarin, Deividi Maurente Gomes da Silva, Gustavo Bridi Bellaver, Daniel Tregnago Pagnussat, Daniela Dietz Viana, Proposta de ferramenta para diagnóstico do grau de inovacao percebido em empresas do ambiente construído. Ambiente Construído, 2023, 23, 00660.

4. Deividi Maurente Gomes da Silva, Vanessa Giaretton Cappellesso, Maurício Germano Lopes Garcia, Angela Borges Masuero, Denise Carpena Coitinho Dal Molin, Calcium hydroxide influence in autogenous self-healing of cement-based materials in various environmental conditions. Ambiente Construído, 2021, 21, 00522.

Deividi Maurente-Silva’s work advances sustainable construction by developing self-healing cement-based materials that reduce maintenance demands and extend the lifespan of infrastructure. His research strengthens scientific understanding of healing mechanisms while offering practical pathways for greener, longer-lasting building systems. His vision is to integrate biotechnology and materials engineering to create resilient, low-carbon solutions for the global built environment.

Vikas Kumar | Architectural Design | Editorial Board Member

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Mr. Vikas Kumar | Architectural Design | Editorial Board Member

PhD Student | Indian Institute of Technology Kharagpur | India

Vikas Kumar is a researcher and emerging scholar in architecture and urban planning, currently serving as a doctoral candidate at IIT Kharagpur with expertise spanning sustainable design, resource-constrained architecture, urban systems, and spatial analysis. He has contributed academically as a teaching assistant in design studios, graphic communication, computer graphics, and building construction, and has gained professional experience through architectural and urban planning internships with industry organizations. His research focuses on sustainable architectural strategies, Jugaad-based innovations, solid waste management, and affordable housing materials, reflected in publications on bamboo panel performance, evaporative cooling technologies, Jugaad theory and application, and urban environmental management. He has also contributed to applied research projects, including housing design interventions aimed at enhancing children’s cognitive development. His academic achievements include a national-level qualifying rank in architecture and planning, multiple best-presentation awards at international conferences, and recognition for excellence in academic and co-curricular activities. In addition to his scholarly work, he has demonstrated significant leadership as captain and contingent leader in major institutional sporting championships. His combined academic contributions, professional experience, research outputs, and recognized leadership make him a distinguished candidate for award nomination. His research impact includes 1 citation across 1 document, 2 publications, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

1. Kumar V., Mukerji A., Exploring Jugaad in architecture: Theory and strategies for implementation in resource-constrained environments. Social Sciences & Humanities Open, 2025.

2. Kumar V., Mukerji A., Triggers, Mediators, and Consequences of Jugaad in Architecture Among Lower Socio-economic Groups. In: 2025.

3. Kumar V., Methodology for Proposing and Planning Solid Waste Management in a Religious City: Case of Varanasi. International Journal of Innovative Science and Research Technology, 2021, ISSN: 2456-2165.

Vikas Kumar’s work advances sustainable architecture and urban planning by developing resource-efficient strategies, Jugaad-based innovations, and affordable housing solutions. His research addresses real world challenges in waste management, climate-responsive design, and socially inclusive urban systems, creating practical, scalable solutions that benefit communities, industry, and the broader built environment.

Liang Zhao | Building Information Modeling | Editorial Board Member

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Dr. Liang Zhao | Building Information Modeling | Editorial Board Member

Teaching & Research Faculty | Hebei University of Engineering | China

Liang Zhao is an architecture professional and researcher serving as a faculty member at the School of Energy and Environmental Engineering, Hebei University of Engineering, specializing in building information modeling, IFC-based digital workflows, and AI-driven BIM applications. With academic training in architecture and HVAC engineering, he has contributed to industry and research environments through roles in BIM plugin development, project management, carbon-emission auditing, and digital-twin modeling. His professional portfolio includes leading and supporting projects focused on carbon-emission quantification for public buildings, lightweight 3D BIM visualization, and BIM-based digital heritage protection, where he has played key roles in methodology development, IFC data integration, Revit API implementation, and platform design. His research centers on BIM automation, machine learning for IFC data, OpenBIM ecosystems, and the secondary development of Revit-based digital solutions, resulting in impactful contributions such as specialized carbon-emission calculation software and digital supervision platforms. He has earned multiple academic scholarships, software copyrights, and professional certifications, supported by long-standing involvement in BIM technology development. His research impact includes 255 citations across 240 documents, 14 publications, and an h-index of 10.

Profile: Scopus

Featured Publications

1. Zhao L., A digital-twin evaluation framework of zero carbon buildings for existing residential buildings based on scan-to-BIM. Alexandria Engineering Journal, 2025, Open Access.

Liang Zhao’s work advances global digital construction practices by integrating BIM, AI, and IFC-based methodologies to improve accuracy, sustainability, and data interoperability in the built environment. His contributions to carbon-emission quantification, digital heritage modeling, and BIM automation support more efficient, low carbon, and technologically resilient architectural systems. He envisions a future where intelligent, open standard digital frameworks accelerate innovation and drive sustainable transformation across the architecture, engineering, and construction industry.

Hussien M.Hassan | AI and Automation in Architecture | Best Researcher Award

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Dr. Hussien M.Hassan | AI and Automation in Architecture | Best Researcher Award

Associate Professor | Port Said University | Egypt

Dr. Hussien M. Hassan is an Associate Professor at the Faculty of Engineering, Port Said University, specializing in Naval Architecture and Marine Hydrodynamics. With a Ph.D. in Ship Hydrodynamics, he has developed extensive expertise in Computational Fluid Dynamics (CFD), artificial intelligence applications in ship design, and green marine technologies. His research primarily focuses on hydrodynamic optimization, sustainable ship geometry, marine bio-mimetics, and the integration of AI for energy-efficient maritime systems. Dr. Hassan has led and contributed to numerous funded research projects, including initiatives on smart solar desalination and innovative ventilation systems for climate resilience. His scholarly output includes several high-impact publications in international journals such as Marine Systems & Ocean Technology and Journal of Ocean Engineering and Marine Energy. Beyond academia, he has demonstrated entrepreneurial leadership as CEO of multiple marine and engineering ventures. He is also the author of a technical book on Artcam software and has delivered seminars on emerging maritime technologies. Recognized for his contributions to marine innovation and education, Dr. Hassan actively engages with global research communities, serving as a reviewer and collaborator in multidisciplinary engineering forums. His research impact includes 5 citations, 3 publications, and an h-index of 2.

Profiles: Scopus | Google Scholar

Featured Publications

1. Hassan H.M., Elsakka M.M., Refaat A., Zhang H., Yin Z., Ahmed A., A comparative study on the hydrodynamic performance of traditional and closed-loop marine propellers. Marine Systems & Ocean Technology, 2025, 20(3), 34.

2. Mosaad M.A., Gafaary M.M., Yehia W., Hassan H.M., On the design of X-bow for ship energy efficiency. Influence of EEDI on Ship Design & Operation, London, UK, 2017, 22(11).

3. Hassan H.M., Elsakka M.M., Refaat A., Amer A.E., Rizk R.Y., Optimal design of container ships geometry based on artificial intelligence techniques to reduce greenhouse gases emissions. International Work-Conference on Bioinformatics and Biomedical Engineering, 2023, 3.

4. Hassan H.M., Elsakka M.M., Moustafa M.M., On the comparative hydrodynamic analysis of conventional and innovative closed-loop marine propellers, 2024, 2.

5. Mosaad M., Improving ship wave resistance by optimal bulb configuration. SYLWAN, 2020, 164(11), 1–14.

Dr. Hussien M. Hassan’s work advances sustainable maritime innovation by integrating artificial intelligence and hydrodynamic optimization to enhance ship energy efficiency and reduce environmental impact. His research contributes to the global shift toward greener marine technologies, fostering progress in both academic and industrial applications of smart ship design.

Ali Sharghi | Landscape Architecture | Best Health and Wellness Architecture Award

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Assoc. Prof. Dr. Ali Sharghi | Landscape Architecture | Best Health and Wellness Architecture Award

Academic Staff | Shahid Rajaee Teacher Training University | Iran

Dr. Ali Sharghi is an Associate Professor at Shahid Rajaee Teacher Training University, specializing in landscape architecture, urban planning, and architectural design, recognized for his extensive academic leadership and contributions to sustainable urban development. He has served as Deputy Dean of the Faculty of Architecture and Urban Planning, Head of the Department of Architecture, and a long-standing member of Tehran Municipality’s Facade Committee, guiding major academic and civic initiatives in architecture and urban policy. His research centers on urban regeneration, age-friendly cities, affordable housing planning, visual aesthetic preferences, and the evolution of cultural approaches in urban environments, reflected in influential publications across international journals and highly cited works in urban green spaces, social sustainability, and spatial evaluation. Dr. Sharghi has contributed to editorial activities as a board member of the Journal of Sustainable Architecture and Urban Design and has participated in significant professional bodies as an Official Expert of Justice for land and building evaluation, member of the Iranian Association of Engineering Education, associate member of the Iran Construction Engineering Organization, and member of several national scientific and environmental associations. His research impact includes 52 citations, 18 publications, and an h-index of 4.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Salehi Kousalari F., Ghanbaran A.H., Sharghi A., Jahani A., Satari Rad A., Predicting visual aesthetic preferences in Tehran city universities campuses using machine learning techniques. Scientific Reports, 2025, 15(1), 36918.

2. Rakhshandehroo M., Mohd Yusof M.J., Ale Ebrahim N., Sharghi A., et al., 100 most cited articles in urban green and open spaces: a bibliometric analysis. Current World Environment, 2015, 10(2), 53.

3. Sharqi A., Zarghami A., Olfat E., Kousalari M.A.S., Evaluating status of global indices of age-friendly city in Tehran metropolis (AFC). Architecture Civil Engineering Environment, 2016, 9(3), 35–51.

4. Sharghi A., Nourtaghani A., Ramzanpour M., Gorji R.B., Low-income housing location based on affordable criteria using AHP Model and GIS Technique (Case Study: Babolsar City). Environment, Development and Sustainability, 2022, 24(8), 10337–10377.

5. Sharghi A., Jahanzamin Y., Ghanbaran A., Jahanzamin S., A study on evolution and development of urban regeneration with emphasis on the cultural approach. Turkish Online Journal of Design, Art and Communication, 2018, 271–284.

Dr. Sharghi’s work strengthens the scientific foundation of sustainable urban development by integrating evidence-based planning with social well-being. His research advances tools and insights that help cities evolve into more inclusive, resilient, and culturally responsive environments.

Ramazan Yasar | AI and Automation in Architecture | Pioneer Researcher Award

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Assoc. Prof. Dr. Ramazan Yasar | AI and Automation in Architecture | Pioneer Researcher Award

Lecturer | Ankara University | Turkey

Assoc. Prof. Dr. Ramazan Yasar is a faculty member in the Department of Artificial Intelligence and Data Engineering at Ankara University, specializing in artificial intelligence, cryptography, algorithms, graph theory, big data technologies, machine learning, neutrosophic and fuzzy logic systems, data science, and natural language processing. He has served in progressive academic roles, including long-term instructional and research positions, and has contributed to institutional development through editorial leadership as Managing Editor of the Hacettepe Journal of Mathematics and Statistics. His work spans advanced mathematical structures, module theory, algebraic systems, and computational intelligence, reflected in numerous peer-reviewed publications in respected international journals. He has collaborated on projects exploring generalized extending conditions, exact submodules, annihilator conditions, rough groups, and intuitionistic fuzzy group-based algebraic models, demonstrating sustained contributions to theoretical mathematics and emerging intelligent technologies. His academic journey includes recognitions, editorial responsibilities, professional memberships, and active participation in international research platforms, supporting his commitment to advancing interdisciplinary scholarship. His research impact includes 23 citations, 11 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Yasar R., Tercan A., When some complement of an exact submodule is a direct summand. Commun. Algebra, 2021, 49(10), 4304–4312.

2. Yasar R., C11-modules via left exact preradicals. Turk. J. Math., 2021, 45(4), 1757–1766.

3. Tercan A., Yasar R., Yücel C.C., Goldie extending property on the class of exact submodules. Commun. Algebra, 2022, 50(4), 1363–1371.

4. Tercan A., Yasar R., Weak FI-extending modules with ACC or DCC on essential submodules. Kyungpook Math. J., 2021, 61(2), 239–248.

5. Birkenmeier G.F., Kilic N., Mutlu F.T., Tastan E., Tercan A., Yasar R., Connections between Baer annihilator conditions and extending conditions for nearrings and rings. J. Algebra Appl., 2024, 2650050.

Ramazan Yasar’s research advances the theoretical foundations of algebra and intelligent systems, strengthening the bridge between mathematical structures and modern computational technologies. His contributions support the development of more reliable, explainable, and secure AI frameworks, offering long-term value to scientific innovation and emerging digital industries. Through sustained scholarly impact, he contributes to a global ecosystem that depends on rigorous mathematical reasoning for next-generation technological progress.

Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

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Dr. Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

Postdoctoral Fellow | Aarhus University | Denmark

Dr. Manoharan Madhiarasan is a Postdoctoral Fellow at the Department of Business Development and Technology, Aarhus School of Business and Social Sciences, Aarhus University, recognized for his expertise in renewable energy systems, artificial intelligence, machine learning, deep learning, forecasting, and optimization. He has previously served in research and academic roles across leading institutions, including IIT Roorkee, Transilvania University of Brașov, and the French Institute of Pondicherry, along with experience as Assistant Professor, Research and Development Coordinator, and project mentor in engineering and technology programs. His research spans solar and wind energy forecasting, photovoltaic system modelling, metaheuristic optimization, neural network design, IoT-based energy systems, and intelligent hybrid models, resulting in extensive international journal publications, book chapters, patents, and conference contributions. He has led national workshops, served as convener and coordinator for faculty development programs, and delivered keynote addresses at global summits on renewable energy and intelligent systems. Dr. Madhiarasan holds several prestigious recognitions, including competitive research fellowships and a Best Researcher Award, and he is an IEEE Senior Member with memberships across numerous professional bodies. He contributes widely to the scholarly community as Associate Editor, Guest Editor, and Editorial Board Member for multiple international journals, and as a reviewer for high-impact publishers such as Springer, Elsevier, IEEE, Wiley, MDPI, and Frontiers. His record reflects sustained leadership, interdisciplinary scholarship, and significant contributions to advanced energy technologies and computational intelligence. His research impact includes 466 citations, 31 publications, and an h-index of 9.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. M. Madhiarasan, G. Fotis, M. Presser, M.J. Beliatis, Mountain Gazelle Optimiser-based single, double, and triple diode models associated solar cells and panels parameters extraction. Discover Sustainability, 2025, 6, 903.

2. M. Madhiarasan, S.N. Deepa, N.Y. Jayalakshmi, Hyperparameter optimization of a deep radial basis neural learning approach for wind speed forecasting. Int. J. Syst. Assur. Eng. Manag., 2025, Accepted.

3. M. Madhiarasan, Bayesian optimisation algorithm based optimised deep bidirectional long short term memory for global horizontal irradiance prediction in long-term horizon. Front. Energy Res., 2025, 13, 1499751.

4. M. Madhiarasan, S.N. Deepa, Comparative analysis on hidden neurons estimation in multilayer perceptron neural networks for wind speed forecasting. Artif. Intell. Rev., 2016, 1–23.

5. M. Madhiarasan, M. Louzazni, Analysis of artificial neural network: architecture, types, and forecasting applications. J. Electr. Comput. Eng., 2022, 5416722.

Dr. Madhiarasan’s work advances intelligent renewable energy systems by integrating AI-driven forecasting, optimization, and smart energy technologies that enhance the reliability and efficiency of global power infrastructures. His research supports sustainable energy transitions, strengthens industry innovation, and provides data-driven solutions for emerging challenges in solar and wind energy applications. He envisions a future where intelligent computational models power cleaner, smarter, and more resilient energy ecosystems worldwide.

Jonas Marinho Duarte | Materials and Technology in Architecture | Best Researcher Award

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Assoc. Prof. Dr. Jonas Marinho Duarte | Materials and Technology in Architecture | Best Researcher Award

Professor | Federal University of Western Para | Brazil

Professor Jonas Marinho Duarte of the Federal University of Western Para is a physicist and electrical engineer whose work advances the frontiers of nanotechnology and molecular nanoelectronics. With academic training grounded in physics and complemented by advanced degrees in electrical engineering, he has developed expertise in electronic transport, Majorana fermion detection, and the modeling of graphene-like two-dimensional materials using Green’s functions and ab initio methods. His professional experience includes leading and contributing to research projects on molecular electronics, low-dimensional systems, and carbon allotropes, with published studies appearing in Computational Condensed Matter, Physica E, and Optical and Quantum Electronics. He has been actively involved in collaborative work with institutions such as the Federal University of Pará and has contributed to emerging investigations on nanodevices for telecom applications and charge-transport phenomena in 1D and 2D materials. His scholarly engagement is supported by professional memberships within academic networks and his participation in interdisciplinary research groups. Across his career, Professor Duarte has established a growing record of scientific contributions, strengthening the field through computational insights, innovative modeling approaches, and the pursuit of new carbon-based device architectures, positioning him as a strong candidate for recognition in research excellence.

Profile: ORCID

Featured Publications

1. Duarte J.M., Cardoso D.H., Miranda I.R.S., Mota E.A.V., dos Santos da Silva S.J., da Silva C.A.B., Del Nero J., Numerical implementation of phagraphene as patch resonator for a microstrip antenna. Opt. Quantum Electron., 2025, DOI: 10.1007/s11082-025-08404-9.

2. Quaresma L.C., Ferreira D.F.S., Duarte J.M., Moreira M.M., da Silva C.A.B. Jr., Del Nero J., Eigenchannel visualization and transition-voltage spectroscopy in two-dimensional C-57 allotrope. Comput. Condens. Matter, 2025, DOI: 10.1016/j.cocom.2025.e01169.

3. Quaresma L.C., Duarte J.M., Ferreira D.F.S., da Silva C.A.B. Jr., Del Nero J., Electronic transport modulation in C-57: A path toward carbon-based logic and switching devices. Physica E, 2025, DOI: 10.1016/j.physe.2025.116340.

4. Duarte J.M., Santos J.C.S., Ferreira D.F.S., Paula M.V.S., Mota E.A.V., Silva C.A.B., Del Nero J., Systematic investigation of a metallic quadrilateral nanoribbon graphene allotrope for application in nanoelectronics. Comput. Condens. Matter, 2025, DOI: 10.1016/j.cocom.2025.e01007.

5. Duarte J.M., Metodologias ativas e educação ambiental: uma revisão integrativa sobre abordagens inovadoras para o ensino de energia solar. Ensino e Tecnologia em Revista, 2024.

Professor Jonas Marinho Duarte advances the scientific frontier of nanoelectronics by uncovering how emerging carbon allotropes and low-dimensional materials can enable next-generation logic, sensing, and energy-efficient device architectures. His computational research provides fundamental insights that support the development of future telecom, semiconductor, and molecular electronic technologies, strengthening innovation pathways across both academia and industry.

Simone Reber | Biophilic Design | Women Researcher Award

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Prof. Dr. Simone Reber | Biophilic Design | Women Researcher Award

Professor | Max Planck Institute for Infection Biology | Germany

Prof. Dr. Simone B. Reber is a Max Planck Fellow and Group Leader at the Max Planck Institute for Infection Biology and a W2-Professor of Biochemistry at the University of Applied Sciences Berlin, specializing in quantitative cell biology, biophysics, and cytoskeletal dynamics. She brings extensive professional experience shaped by leadership roles as an independent group leader, interdisciplinary collaborator, mentor, and investigator on major funded projects advancing cellular architecture, microtubule biology, and nucleocytoplasmic density regulation. Her research explores cytoplasmic material properties, spindle scaling, microtubule diversity across species, and parasite cytoskeletons, with influential contributions published in leading journals including Nature Cell Biology, Nature Communications, Current Biology, and PNAS. She has guided teams across multiple institutions, developed innovative imaging and biochemical approaches, and contributed substantially to methodological advances in cytoskeletal research. Prof. Reber’s work has earned distinctions such as Max Planck and Rosalind Franklin Fellowships, teaching awards for excellence in digital instruction, and invitations to speak at major international meetings. She serves on scientific and advisory committees, reviews grants for major funding bodies including ERC, DFG, and BBSRC, and holds reviewer responsibilities for leading journals. Her career reflects a sustained commitment to advancing fundamental cell biology, fostering scientific talent, and strengthening global research communities, and her research impact includes 2,517 citations, 33 publications, and an h-index of 17.

Profiles: Scopus | ORCID

Featured Publications

1. Biswas A., Muñoz O., Kim K., Hoege C., Lorton B.M., Shechter D., Guck J., Zaburdaev V., Reber S., Conserved nucleocytoplasmic density homeostasis drives cellular organization across eukaryotes. bioRxiv, 2023, doi:10.1101/2023.09.05.556409.

2. Kletter T., Muñoz O., Reusch S., Biswas A., Halavatyi A., Neumann B., Kuropka B., Zaburdaev V., Reber S., Cell state-specific cytoplasmic density controls spindle architecture and scaling. Nature Cell Biology, 2025, doi:10.1038/s41556-025-01678-x.

3. Troman L., de Gaulejac E., Biswas A., Stiens J., Kuropka B., Moores C., Reber S., Mechanistic basis of temperature-adaptation in microtubule dynamics across frog species. bioRxiv, 2024, doi:10.1101/2024.07.29.605571.

4. Bangera M., Wu J., Beckett D., Fachet D., Ferreira J.L., Voth G.A., Reber S., Moores C.A., Adaptations in Plasmodium tubulin determine unique microtubule architectures, mechanics and drug susceptibility. bioRxiv, 2025, doi:10.1101/2025.09.17.676853.

5. Kletter T., Muñoz O., Reusch S., Biswas A., Halavatyi A., Neumann B., Kuropka B., Zaburdaev V., Reber S., Cell state-specific cytoplasmic density controls spindle architecture and scaling. Nature Cell Biology, 2025, doi:10.1038/s41556-025-01678-x.

Prof. Dr. Simone B. Reber’s work uncovers the physical principles that govern cellular organization, revealing how cytoplasmic material properties shape the architecture and function of life across species. Her discoveries advance fundamental biology while driving innovation in biophysics, imaging, and parasite research, enabling new strategies for biomedical analysis and therapeutic development. Through interdisciplinary leadership, she strengthens scientific capacity and inspires next-generation approaches to understanding complex cellular systems.

Shixun Wu | AI and Automation in Architecture | Best Researcher Award

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Dr. Shixun Wu | AI and Automation in Architecture | Best Researcher Award

Vice Professor | Chongqing Jiaotong University | China

Dr. Shixun Wu, Vice Professor at the College of information Science and Engineering and Vice Dean of the Department of Communication Engineering at Chongqing Jiaotong University, is a specialist in wireless communication, wireless localization, and machine learning. With advanced training in applied mathematics and a doctorate in electrical and computer engineering, he has contributed extensively to intelligent transportation systems, cooperative mobile localization, Wi-Fi fingerprinting, secrecy communication, and RFID identification protocols. His work includes impactful publications in leading journals and collaborative projects that advance high precision positioning, reinforcement learning based communication strategies, and secure wireless systems. Dr. Wu has held key academic and leadership roles that support program development, research coordination, and the cultivation of emerging scholars. His professional recognition includes contributions to competitive research initiatives, involvement in editorial and review activities, and active participation in scholarly communities and technical organizations. His record reflects sustained excellence in advancing communication technologies and intelligent networked systems, positioning him as a distinguished candidate for this award. His research impact includes 380 citations, 38 publications, and an h-index of 11.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Zhang H., Xu K., Huang D., He D., Wu S., Xian G., Hybrid decision-making for intelligent high-speed train operation using boundary constraint and pre-evaluation reinforcement learning. IEEE Trans. Intell. Transp. Syst., 2024, 25(11), 17979-17992.
2. Wu S., Wang S., Xu K., Wang H., Hybrid TOA/AOA cooperative mobile localization in 4G cellular networks. IEIE Trans. Smart Process. Comput., 2013, 2(2), 77-85.
3. Wu S., Zeng X., Zhang M., Cumanan K., Waraiet A., Chu Z., Xu K., LCVAE-CNN: Indoor Wi-Fi Fingerprinting CNN positioning method based on LCVAE. IEEE Internet Things J., 2025, Accepted.
4. Zhang M., Ding X., Tang Y., Wu S., Xu K., Star-RIS assisted secrecy communication with deep reinforcement learning. IEEE Trans. Green Commun. Netw., 2024, Accepted.
5. Yang X., Wu B., Wu S., Liu X., Zhao W.G.W., Time slot detection-based M-ary tree anticollision identification protocol for RFID tags in the Internet of Things. Wirel. Commun. Mob. Comput., 2021, Article ID 6638936.

Dr. Shixun Wu’s research advances precise wireless localization, intelligent communication systems, and machine learning-driven network optimization, strengthening the foundations of next-generation connected technologies. His contributions support safer transportation, more reliable indoor positioning, and secure communication frameworks that benefit both industry and society. He envisions scalable intelligent networks that enhance global digital infrastructure and drive innovation across smart mobility and IoT systems.