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.

Anandakumar Srinivasan | Materials and Technology in Architecture | Best Researcher Award

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Assoc. Prof. Dr. Anandakumar Srinivasan | Materials and Technology in Architecture | Best Researcher Award

Associate Professor | Anna University | India

Dr. S. Anandakumar Srinivasan is an Associate Professor in the Department of Chemistry at Anna University, India, specializing in surface science, nano-hybrid coatings, bio-based polymers, and corrosion-resistant materials. With a doctorate in Polymer Chemistry and Material Science and postdoctoral research in the UK and Portugal, he has over two decades of academic and research experience including leadership roles such as Assistant Director at the Centre for Entrepreneur Development. His research focuses on developing eco-friendly polymer coatings and bio-composite films for industrial and environmental applications. He has authored over 75 peer-reviewed publications in renowned journals such as Progress in Organic Coatings, Journal of Polymer Research, and High Performance Polymers, along with eight books and multiple international patents on biodegradable barrier materials and surface treatments. He has successfully executed numerous projects funded by DST, DRDO, and Anna University and served on editorial boards of leading polymer science journals. His contributions have been recognized with prestigious honors including the IAAM Scientist Medal (Sweden), Technology Innovation Award, Active Researcher Award from Anna University, and the Royal Society Visiting Fellowship (UK). A member of the Society for Polymer Science and American Nano Society, Dr. Anandakumar continues to advance sustainable material innovation through his research on bio-based coatings, nanocomposites, and green manufacturing technologies for industrial and environmental impact. His research impact includes 1,243 citations, 50 publications, and an h-index of 19.

Profiles: Scopus | ORCID | Google Scholar

1. Anandakumar S., Shree Meenakshi K., Facile fabrication of polyaniline–MXene bilayer coatings for enhanced corrosion protection and self-healing on steel substrates. Prog. Org. Coat., 2026, Accepted.

2. Rajiv G., Ashick Naina Mohamed, Rajeswari G.R., Anandakumar S., Development of a partially bio-based sustainable polyurethane coating from non-edible mahua oil. Constr. Build. Mater., 2025, 1, [Article in press].

3. Rajiv G., Jeswin Anto L., Mathumitha K., Anandakumar S., Synergistic effects of biobased PLA and Garnet waste towards enhanced corrosion resistance of epoxy coating. J. Mol. Struct., 2025, 1, [Article in press].

4. Duraibabu D., Mohammed S.A., Suresh Kumar S.M., Anandakumar S., Advanced fabrication and characterization of AMMT nano clay reinforced tri-functional epoxy nanocomposites for superior thermal and mechanical properties. J. Polym. Res., 2024, [Article in press].

5. Dhanapal D., Srinivasan A.K., Rajarathinam M., Muthukaruppan A., Evaluation of augmented thermal, thermo-mechanical, mechanical properties of nano alumina reinforced TGDDM epoxy nanocomposites. High Perform. Polym., 2023, 35, 313–323.

Dr. S. Anandakumar Srinivasan’s pioneering research in sustainable polymer coatings and nano-hybrid composites advances the global shift toward eco-friendly materials by replacing petroleum-based systems with biodegradable, high-performance alternatives. His innovations contribute to corrosion protection, waste valorization, and green manufacturing, driving progress in sustainable industrial technologies and environmental preservation.

Hyeonsoo Kim | Building Energy Optimization | Best Researcher Award

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Prof. Hyeonsoo Kim | Building Energy Optimization | Best Researcher Award

Assistant Professor | Seoul National University of Science and Technology | South Korea

Dr. Hyeonsoo Kim is a Postdoctoral Researcher at the Korea Institute of Civil Engineering and Building Technology (KICT) in the Building Energy Research Center, specializing in building energy systems and sustainable architecture. He earned his Ph.D. in Architecture from the University of Michigan, where his research focused on the economic feasibility of achieving net-zero energy and emission buildings in the United States. His professional background includes extensive work on projects related to carbon-neutral city realization, smart energy systems, and thermal break technologies for improving building performance. Dr. Kim has co-authored several impactful publications in leading journals such as Applied Energy, Journal of Cleaner Production, and Energy Conversion and Management: X, contributing significantly to the fields of net-zero energy building design, emission trading frameworks, and renewable-integrated heat pump systems. He has served in various academic leadership roles, including Editorial Board Member and Academic Director for the KIEAE Journal and Guest Editor for Buildings (MDPI). In addition, he has contributed as a moderator, instructor, and project lead in national and international collaborations advancing green building technologies. Dr. Kim holds the LEED Accredited Professional certification, reflecting his commitment to sustainable and high-performance building design. His research impact includes 52 citations, 5 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kim H., Economic Feasibility of Achieving Net-Zero Energy in Residential Buildings in the USA. 2023.

2. Junghans L., Kim H., Evaluation of multiple predictive control strategies to optimally use building thermal mass to reduce annual operation costs and associated GHG emissions. J. Build. Eng., 2025, 112, 113963.

3. Kim H., Junghans L., Economic feasibility of achieving net-zero emission building (NZEB) by applying solar and geothermal energy sources to heat pump systems: A case in the United States. J. Clean. Prod., 2023, 416, 137822.

4. Kim H., Junghans L., Integrative economic framework incorporating the Emission Trading Scheme (ETS) for US residential energy systems. Energy Convers. Manag.: X, 2022, 14, 100197.

5. Kim H., Lim J.W., Predicting the economic feasibility of solar-based net-zero emission buildings (NZEBs) in the United States non-residential sector. J. Clean. Prod., 2024, 470, 143272.

Dr. Hyeonsoo Kim’s research advances global sustainability by integrating renewable energy systems and intelligent control strategies to achieve net-zero energy buildings. His work contributes to reducing carbon emissions, guiding policy and industry practices toward resilient, energy-efficient, and environmentally responsible urban development.

Jorge Emanuel Ramalho da Fonseca | Seismic Assessment | Best Researcher Award

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Dr. Jorge Emanuel Ramalho da Fonseca | Seismic Assessment | Best Researcher Award

Researcher | University of Aveiro | Portugal

Jorge Emanuel Ramalho da Fonseca is a Civil Engineer and Research Fellow at the University of Aveiro, specializing in the conservation, rehabilitation, and structural assessment of historic and traditional buildings. His professional experience spans advanced laboratory testing, field investigations, and the development of innovative systems for in-situ and cyclic testing of masonry, timber, and reinforced concrete elements. As part of several national and international projects, including Be+Earth, SPARCS, URBSIS, SEISMIC-V, SafEarth, and SHS-Multirisk, he has contributed to the design and testing of earthquake- and hurricane-resilient housing solutions and to the mechanical characterization of Portuguese masonry through flat-jack and full-scale wall tests. His research focuses on sustainable rehabilitation, seismic strengthening, and experimental methodologies for heritage structures, reflected in multiple high-impact publications in journals such as Applied Sciences, Construction and Building Materials, and the International Journal of Architectural Heritage. A member of the Portuguese Engineers Association and the Portuguese Association for Urban Rehabilitation and Heritage Protection, he actively participates in scientific collaborations within the CERIS-Aveiro research unit. He has also contributed to event organization and training initiatives supported by UNESCO and the University of Aveiro, promoting knowledge transfer in heritage conservation. His dedication to advancing experimental research, technical innovation, and sustainable preservation of built heritage positions him as an emerging leader in structural rehabilitation and seismic risk mitigation. His research impact includes 79 citations, 13 publications, and an h-index of 4.

Profiles: Scopus | ORCID | Google Scholar

1. Fonseca J., Costa A., Rodrigues H., Characterization of Portuguese Masonry Walls: Insights from Flat-Jack Tests. Int. J. Archit. Heritage, 2025, 1–34.

2. Ascensão G., Pereira J., Fonseca J., Costa A., Ferreira V.M., Paiva H., Reviving heritage with contemporary solutions for adobe wall rehabilitation. Constr. Build. Mater., 2025, 458, 139557.

3. Di Gregorio L., Costa A., Tavares A., Rodrigues H., Fonseca J., Guimarães G., Comprehensive Design Process of CEB-Reinforced Masonry Panels for Earthquake and Hurricane-Resilient Houses. Buildings, 2025, 15 (17), 3242.

4. Fonseca J., Rodrigues H., Costa A., Mechanical characterization of masonry walls through the application of in-situ flat-jack tests. Research Summit 2024 – Book of Abstracts, 2024.

5. Di Gregorio L., Costa A., Rodrigues H., Fonseca J., Tavares A., Development of a System for Cyclic Shear Tests on Full-Scale Walls. Appl. Sci., 2023, 13 (13), 7498.

Dr. Jorge Emanuel Ramalho da Fonseca’s research advances the sustainable preservation and seismic resilience of historic and traditional buildings, bridging scientific innovation with heritage protection. His experimental methods and engineering solutions enhance global practices in structural safety, cultural conservation, and resilient urban development.