Rahim Zahedi | Energy and Building | Editorial Board Member

Published on by Architecture Engineers

Assist. Prof. Dr. Rahim Zahedi | Energy and Building | Editorial Board Member

Faculty Member | University of Tehran | Iran

Assist. Prof. Dr. Rahim Zahedi is an Assistant Professor at the University of Tehran, specializing in energy systems engineering with expertise in renewable energy, life cycle assessment, energy optimization, and sustainable building-energy integration. He has contributed extensively to academia and industry through roles in teaching, research leadership, energy system laboratories, technical committees, and large-scale national sustainability initiatives, alongside overseeing patented technologies and directing an energy-focused company. His research spans hybrid multigeneration systems, carbon capture and utilization, life cycle assessment of renewable technologies, smart energy systems, and integrated water energy food environment nexus modeling, supported by more than one hundred peer-reviewed publications, book contributions, and numerous conference papers. Dr. Zahedi has earned prominent distinctions including the JTACC-V4 Young Scientist Award, the Alborz Prize, the National Renewable Energy Award, and several national rankings for academic and industrial excellence. He serves as Guest Editor and Editorial Board Member for multiple international journals and actively contributes to scientific communities through professional memberships, editorial service, and extensive peer review work. His research impact includes 2,400 citations, 109 publications, and an h-index of 26.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Mobaraki M.M., Zahedi R., Yousefi H., Noorollahi Y., Life cycle assessment of mixed-use buildings with varying HVAC systems in different climates for sustainable-responsive design and low-carbon solutions. Build. Environ., 2025, 113801.

2. Alghorayshi S.T.K., Imandoust M., Montazeri A., Ayoubi S., Zahedi R., Enhancing power, water and biofuel multigeneration system through a developed biomass-driven hybrid process with energy, exergy, economic and environmental (4E) analysis. Renew. Energy, 2025, 124131.

3. Imandoust M., Alghorayshi S.T.K., Zahedi R., Aslani A., Khanqah M.Q., Multi-objective optimization of hybrid solar–wind MSF-RO cogeneration desalination systems using NSGA-II to enhance energy efficiency, cost reduction and sustainability. Sep. Purif. Technol., 2025, 134740.

4. Tarhani M., Yousefi H., Zahedi R., Technical and economic analysis of hydrogen production from pre-combustion carbon capture by Rectisol process in combined cycle power plant. Energy Convers. Manag., 2025, 344, 120290.

5. Naziri A., Tahavvor A.R., Shirazi M.A., Zahedi R., Feasibility study on heat recovery from gas turbine exhaust for absorption chiller operation and efficiency enhancement using neural networks. Therm. Sci. Eng. Prog., 2025, 104210.

Dr. Rahim Zahedi’s work advances sustainable energy transitions by integrating renewable technologies, life cycle assessment, and multi-scale energy–environment modeling to deliver practical, low-carbon solutions for buildings, industries, and national energy systems. His research supports evidence-based policymaking, drives innovation in clean energy technologies, and strengthens global efforts toward resilient, efficient, and environmentally responsible development.

Taehyoun Oh | Digital Architecture | Best Researcher Award

Published on by Architecture Engineers

Prof. Dr. Taehyoun Oh | Digital Architecture | Best Researcher Award

Professor | Kwangwoon University | South Korea

Taehyoun Oh is an Associate Professor at Kwangwoon University specializing in high-speed I/O circuit design and advanced mixed-signal integrated systems. He brings extensive experience from both academia and industry, contributing to high-performance SerDes development, MIMO channel equalization, and signal-integrity innovation through impactful roles in major semiconductor organizations. His research focuses on high-speed chip-to-chip communication, MIMO crosstalk cancellation, low-power equalization architectures, and multichannel I/O design, leading to significant advancements in CMOS-based receiver architectures, adaptive calibration algorithms, and prototype implementations. He has authored influential journal papers, contributed to prominent conferences, and published a specialized book on high-speed I/O circuits, demonstrating consistent leadership in circuit innovation. His work has been recognized through best-paper distinctions, competitive research awards, and collaborative contributions across internationally respected research laboratories and design teams. His technical expertise, scholarly output, and continued commitment to advancing high-speed interface technologies position him as a leading contributor in the field. His research impact includes 115 citations, 26 publications, and an h-index of 5.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Cho K.U., Gil J., Park C., Cho K.J., Shin J.W., Kim E.S., Eo Y.S., Harjani R., et al. A 3.5–4.7 GHz Fractional-N ADPLL with a low-power time-interleaved GRO-TDC of 6.2 ps resolution in 65 nm CMOS process. IEEE Access, 2024, 2.

2. Chung G., Cho K., Oh T. 2 Lanes × 2.65–6.4 Gb/s scalable IO transceiver with delay compensation technique in 65 nm CMOS process. J. Semicond. Technol. Sci., 2024, 24(3), 184–190.

3. Ahn J., Kim S., Kwon K., Park M., Gil J., Choi H., Kim N.Y., Kim E.S., Jung Y., et al. A 5.3–6.2 GHz Fractional-N frequency synthesizer with variable-gain automatic frequency calibration using cycle slips in 65 nm CMOS. Electronics, 2024, 14(22), 4368.

4. Oh T., Harjani R. A 12 Gb/s multichannel I/O using MIMO crosstalk cancellation and signal reutilization in 65 nm CMOS. IEEE J. Solid-State Circuits, 2013, 48(6), 1383–1397.

5. Oh T., Harjani R. A 6 Gb/s MIMO crosstalk cancellation scheme for high-speed I/Os. IEEE J. Solid-State Circuits, 2011, 46(8), 1843–1856.

Taehyoun Oh’s work advances the future of high-speed electronic systems by enabling faster, more reliable, and energy-efficient chip-to-chip communication essential for next-generation computing and data-driven technologies. His innovations in MIMO equalization, crosstalk cancellation, and high-speed I/O architecture contribute directly to enhancing semiconductor performance and strengthening the global electronics industry. His vision is to pioneer intelligent, scalable interface solutions that shape the backbone of future digital infrastructure.

Shanlin Yan | Noise Reduction | Best Researcher Award

Published on by Architecture Engineers

Mr. Shanlin Yan | Noise Reduction | Best Researcher Award

Chongqing University | China

Shanlin Yan is a Ph.D. candidate in Mechanical Engineering at Chongqing University, specializing in acoustic metamaterials, low-frequency broadband sound absorption, noise and vibration control, and intelligent optimization design of acoustic structures. He has developed strong experience in advanced acoustic research through roles involving structural design, computational modeling, and collaborative engineering innovation. His work bridges theoretical acoustics with practical applications, contributing notable advances in multi-branch interference resonance, ultra-thin low-frequency muffling structures, AI-driven metamaterial design, and Helmholtz-based broadband absorbers. He has produced a substantial body of scholarly work, including multiple international journal articles and conference papers, reflecting a sustained record of impactful research and technical leadership. His contributions extend to interdisciplinary project participation and active engagement in major acoustics and vibration forums. He has received honors such as national-level scholarships and awards for academic presentation excellence, demonstrating both academic merit and professional promise. His research impact includes 213 citations, 13 publications, and an h-index of 8.

Profiles: Scopus | ORCID

Featured Publications

1. Shanlin Yan, Tong X.N., Wu F., Low-frequency broadband muffler structure with negative equivalent parameters. Physica Scripta, 2025, in press.
2. Shanlin Yan, Wu F., Hao Y.D., Pu H.Y., Luo J., Ultra-thin integrated structure for low-frequency sound absorption and muffling. Journal of Applied Physics, 2025, in press.
3. Shanlin Yan, Wu F., Zhang X., Zhang D.W., Wu Z.Y., Rectangular extended neck Helmholtz resonant acoustic structure for low frequency broadband sound absorption. Physica Scripta, 2024, in press.
4. Zhang X., Wu F., Yan S.L., Zhang D.W., Qin Y., Luo J., Pu H.Y., Hu M., Gao M.Y., A tunable slit-plate absorber with multiparameter cooperative control. Thin-Walled Structures, 2024, 111502.
5. Shanlin Yan, Wu F., Zhang X., Hu M., Ju Z.G., Zhao J., Broaden the sound absorption band by using micro-perforated plate back cavities with different cross-sectional areas. Physica Scripta, 2023, in press.

Shanlin Yan’s work advances next-generation acoustic metamaterials and low-frequency noise-control technologies, offering innovative solutions to long-standing challenges in engineering acoustics. His research delivers practical, ultra-efficient sound absorption and muffling systems that enhance industrial noise control, environmental acoustics, and public well-being. Through intelligent design methodologies and high-impact publications, he is shaping the future of sustainable, high-performance acoustic engineering.

Deividi Maurente-Silva | Concrete Technology | Best Researcher Award

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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

Published on by Architecture Engineers

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.