Da Chen | Wireless Communication | Best Researcher Award

Prof. Dr. Da Chen | Wireless Communication | Best Researcher Award

Huazhong University of Science and Technology | China

Prof. Dr. Da Chen is a distinguished researcher in the field of wireless communications, focusing on multicarrier modulation, waveform design, communication signal processing, and millimeter-wave communication. His pioneering work on FBMC and OQAM/OFDM systems, cell-free massive MIMO, and hybrid precoding for wideband mmWave networks has significantly contributed to advancing next-generation wireless communication technologies. Prof. Dr. Da Chen has published extensively in high-impact IEEE journals, co-authored influential books with Elsevier and China Science Press, and holds numerous national patents. His research grants, funded by the National Natural Science Foundation of China and the Ministry of Science and Technology, underline his leadership in developing 5G and 6G air interface technologies. Recognized with multiple Best Paper and Editor Awards, he also serves as an editorial board member for leading IEEE journals. His work bridges theoretical innovations and real-world communication system applications.

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Featured Publications

Liu, P., Luo, K., Chen, D., & Jiang, T. (2019). Spectral efficiency analysis of cell-free massive MIMO systems with zero-forcing detector. IEEE Transactions on Wireless Communications, 19(2), 795–807.

Xiao, L., Li, S., Qian, Y., Chen, D., & Jiang, T. (2021). An overview of OTFS for Internet of Things: Concepts, benefits, and challenges. IEEE Internet of Things Journal, 9(10), 7596–7618.

Chen, Y., Xiong, Y., Chen, D., Jiang, T., Ng, S. X., & Hanzo, L. (2020). Hybrid precoding for wideband millimeter wave MIMO systems in the face of beam squint. IEEE Transactions on Wireless Communications, 20(3), 1847–1860.

Chen, D., Qu, D., Jiang, T., & He, Y. (2013). Prototype filter optimization to minimize stopband energy with NPR constraint for filter bank multicarrier modulation systems. IEEE Transactions on Signal Processing, 61(1), 159–169.

Chen, Y., Chen, D., Jiang, T., & Hanzo, L. (2019). Channel-covariance and angle-of-departure aided hybrid precoding for wideband multiuser millimeter wave MIMO systems. IEEE Transactions on Communications, 67(12), 8315–8328.

Huijie Zhu | Engineering | Best Researcher Award

Prof. Huijie Zhu | Engineering | Best Researcher Award

Luoyang Institute of Science and Technology | China

Prof. Huijie Zhu is a highly accomplished researcher and PhD supervisor at the Luoyang Institute of Science and Technology, China, specializing in Water Supply and Drainage Science and Environmental Engineering. His research focuses on sewage treatment technologies, nanomaterial-based pollutant removal, and photocatalytic degradation mechanisms for environmental purification. With 37 publications, an h-index of 10, and nearly 955 citations, Prof. Huijie Zhu has made significant contributions to the fields of water quality improvement, heavy metal remediation, and sustainable wastewater management. His innovative studies on Z-scheme heterojunction photocatalysts and zero-valent iron composites have advanced the understanding of efficient pollutant degradation processes. He has authored influential books, including Solar Aeration-Reactive Wall-Stabilized Sediment Treatment Technology and Schwertmannite Environmental Effects, and led several large-scale sewage treatment projects in rural China.

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Featured Publications

Zhu, H., Fu, S., Zhang, H., Wu, X., Han, J., Ma, X., Rong, J., Chen, S., Chen, G., & Li, Y. (2025). Research on synchronous synthesis of schwertmannite for removal of Pb²⁺ from acidic wastewater. Crystals, 15(11), 929.

Wang, Y., Zhu, H., He, P., Li, M., Cao, Y., Du, Y., Wen, Y., Zhao, Y., Liu, X., & Song, Y. (2025). Two-dimensional silver bismuth oxide/bismuth molybdate Z-scheme heterojunctions with rich oxygen vacancies for improved pollutant degradation and bacterial inactivation. Crystals, 15(4), 318.

Fu, S., Chu, Z., Huang, Z., Dong, X., Bie, J., Yang, Z., Zhu, H., Pu, W., Wu, W., & Liu, B. (2024). Construction of Z-scheme AgCl/BiOCl heterojunction with oxygen vacancies for improved pollutant degradation and bacterial inactivation. RSC Advances, 14, Article D3RA08514G.

Fu, S., Huang, Z., Wang, Y., Zheng, B., Yuan, W., Li, L., Deng, P., Zhu, H., Zhang, H., & Liu, B. (2024). Fabrication of a novel Z-scheme AgBiO₃/BiOCl heterojunction with excellent photocatalytic performance towards organic pollutant. Materials, 17(18), 4615.

Shi, M., Zhang, Y., Hong, W., Liu, J., Zhu, H., Liu, X., Geng, Y., Cai, Z., Lin, S., & Ni, C. (2022). Mechanism of simultaneous lead and chromium removal from contaminated wastewater by a schwertmannite-like mineral. Environmental Science and Pollution Research, 29(56), 85364–85375.

Mehabaw Fikrie | Computational Physics | Best Researcher Award

Mr. Mehabaw Fikrie | Computational Physics | Best Researcher Award

University of Gondar | Ethiopia

Mr. Mehabaw Fikrie is a dedicated researcher and academic professional whose expertise lies in separation science, computational physics, and simulation-based modeling. His research primarily focuses on investigating complex physical systems, particularly phase separation in fluid mixtures, using advanced Monte Carlo simulation techniques. He has contributed significantly to the understanding of oil–water mixture behavior, publishing his findings in the reputed journal Separation Science and Technology. With strong analytical and programming skills in Python, Fortran, LaTeX, and Xmgrace, Mr. Mehabaw Fikrie integrates computational and theoretical approaches to address scientific and industrial challenges. His academic achievements, research proficiency, and recognized contributions to laboratory development and scientific publication highlight his commitment to advancing physics education and computational research.

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Featured Publications

Fikrie, M., Birhanu, T., Bassie, Y., Abebe, Y., & Temare, Y. (2025). Investigation of phase separation of mixture of oil and water in Monte Carlo simulation. Separation Science and Technology. Advance online publication.

Jinyou Kang | Engineering | Best Researcher Award

Assist. Prof. Dr. Jinyou Kang | Engineering | Best Researcher Award

Yanshan University | China

Assist. Prof. Dr. Jinyou Kang is a promising researcher in the field of mechanical engineering, currently affiliated with the Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Jinan. His research focuses on intelligent manufacturing, mechanical vibration control, and high-efficiency machining technologies, particularly in the study and optimization of circular saw blade dynamics, wear behavior, and noise mitigation. Assist. Prof. Dr. Jinyou Kang has published 7 SCI-indexed papers as the sole first author in top-tier journals such as Mechanical Systems and Signal Processing, International Journal of Mechanical Sciences, and Journal of Materials Processing Technology, with the majority ranked in JCR Q1. His works advance understanding of tool wear mechanisms, FEM-based modeling, vibration suppression, and green manufacturing processes, contributing to both theoretical insights and industrial applications. With over 106 citations, multiple patents, and provincial science and technology awards.

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Featured Publications

1. Kang, J., Zhang, J., Zhang, H., Yuan, X., Lv, C., & Bai, T. (2025). A laminated-core circular sawblade with built-in cavities for improving machinability. International Journal of Mechanical Sciences, 110148.

2. Zuo, C., Zhang, H., Kang, J., Zhang, J., Wang, J., & Guo, C. (2025). Damage characteristics and material removal mechanisms of SSiC scratched by diamond grits: Comparison with RB-SiC. Ceramics International.

3. Bai, T., Wang, X., Gao, Z., Wang, S., Zuo, C., Kang, J., Zhang, H., & Zhang, J. (2025). Tool wear analysis of high-speed sawing of aerospace aluminum alloy based on FEM simulation and cutting experiments. Journal of Manufacturing Processes.

4. Kang, J., Zhang, H., Zhang, J., Yuan, X., Lv, C., Bai, T., Gong, Y., & Guo, J. (2025). Development of a novel circular saw blade substrate with high stiffness for mitigating vibration noise and improving sawing performance. Mechanical Systems and Signal Processing, 111934.

5. Kang, J., Zhang, H., Zhang, J., Bai, T., Zhang, Z., Guo, J., Gong, Y., & Niu, P. (2025). Wear analysis of teeth for roughing and finishing in the high-efficiency machining of hard alloys using carbide circular saw blades. Engineering Failure Analysis, 108983.

Pouria Mazinani | Biomechanics | Young Scientist Award

Dr. Pouria Mazinani | Biomechanics | Young Scientist Award

University of Catania | Iran

Dr. Pouria Mazinani is a promising young researcher from the Isfahan University of Technology, whose work spans biomechanics, mechanical engineering, and computational modeling. His research primarily focuses on the biomechanics of the cornea, finite element analysis, and shear wave propagation in biological and structural materials, integrating principles of mechanical engineering and biomedical sciences. He has contributed to scholarly advancements through publications, including his 2025 article in Zeitschrift für Angewandte Mathematik und Physik, where he optimized corneal biomechanical parameters using intraocular pressure methods and finite element modeling. His collaborative research experience at the University of L’Aquila further highlights his expertise in computational simulations and data-driven approaches to material and tissue analysis. With 5 publications, 13 citations, and an h-index of 2, Dr. Pouria Mazinani demonstrates a strong foundation in interdisciplinary research and innovation.

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Featured Publications

  • Zare Vamerzani, B., Zadehkabir, A., Saffari, H., Hosseinalipoor, S. M., & Mazinani, P. (2021). Experimental analysis of fluid displacement and viscous fingering instability in fractured porous medium: Effect of injection rate. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43, Article 118.

  • Mazinani, P., Cardillo, C., & Mosaddegh, P. (2025). Evaluating corneal biomechanics using shear wave elastography and finite element modeling: Sensitivity analysis and parametric optimization. Continuum Mechanics and Thermodynamics, 37(1), Article 12.

  • Zadehkabir, A., Mazinani, P., Zare Vamerzani, B., Cardillo, C., & Saffari, H. (2025). Experimental study of fluid displacement and viscous fingering in fractured porous media: Effect of viscosity ratio. Continuum Mechanics and Thermodynamics, 37(2), Article 29.

  • Mazinani, P., Setayeshnasab, H., & Murcia Terranova, L. (2025). Evaluating corneal biomechanics using intraocular pressure methods and finite element modeling: Parameters study and parametric optimization. Zeitschrift für Angewandte Mathematik und Physik, 76(6), 220.

  • Mazinani, P., & Murcia Terranova, L. (2025). Finite element simulation for finding shear wave velocity on the canine cornea and sensitivity analysis for IOP parameter. Mechanics Research Communications, Article 104558.

Hadi Maleki-Kakelar | Molecular Biology | Best Researcher Award

Assist. Prof. Dr. Hadi Maleki-Kakelar | Molecular Biology | Best Researcher Award

Solid Tumor Research Center | Iran

Assist. Prof. Dr. Hadi Maleki-Kakelar is a prominent researcher recognized for his contributions to molecular targeted therapy, cancer nanomedicine, and drug delivery systems. His interdisciplinary work bridges molecular biology, microbiology, and nanotechnology to develop innovative solutions for cancer and infectious diseases. With 335 citations, 16 publications, and an h-index of 10, Assist. Prof. Dr. Hadi Maleki-Kakelar has demonstrated exceptional research impact. His publications in leading journals such as The Lancet, Gastric Cancer, Biotechnology Advances, and Life Sciences highlight breakthroughs in Helicobacter pylori carcinogenesis, probiotic-driven cancer therapy, and bioengineered microalgae for therapeutic protein production. His recent collaborations on macrophage-based regenerative therapeutics, engineered exosomes, and extracellular vesicle applications underscore his forward-thinking approach to translational and regenerative medicine. Actively involved in workshops on PCR, CRISPR, and bioinformatics,

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Featured Publications

  • Maleki-Kakelar, H., Barzegari, A., Dehghani, J., Hanifian, S., Saeedi, N., & Barar, J. (2019). Pathogenicity of Helicobacter pylori in cancer development and impacts of vaccination. Gastric Cancer, 22(1), 23–36.

  • Dehghani, J., Adibkia, K., Movafeghi, A., Barzegari, A., Pourseif, M. M., & Maleki-Kakelar, H. (2018). Stable transformation of Spirulina (Arthrospira) platensis: A promising microalga for production of edible vaccines. Applied Microbiology and Biotechnology, 1–12.

  • Maleki-Kakelar, H., Dehnad, A., Hanifian, S., & Khani, S. (2013). Isolation and molecular identification of Streptomyces spp. with antibacterial activity from northwest of Iran. BioImpacts: BI, 3(3), 129.

  • Dehghani, J., Adibkia, K., Movafeghi, A., Maleki-Kakelar, H., Saeedi, N., & Barzegari, A. (2020). Towards a new avenue for producing therapeutic proteins: Microalgae as a tempting green biofactory. Biotechnology Advances, 40, 107499.

  • Maleki-Kakelar, H., Barzegari, A., Hanifian, S., Barar, J., & Omidi, Y. (2019). Isolation and molecular identification of Lactobacillus with probiotic potential from abomasums driven rennet. Food Chemistry, 272, 709–714.

Kabir Ibrahim | Built Environment | Best Researcher Award

Dr. Kabir Ibrahim | Built Environment | Best Researcher Award

University of the Free State | South Africa

Dr. Kabir Ibrahim is a dynamic construction management researcher at the University of the Free State, South Africa, with a distinguished record in sustainable and digital construction innovations. His research explores blockchain adoption, artificial intelligence in teaching and learning, digital twins, sensing technologies, and ethical sourcing within the built environment. With 13 publications, over 90 citations, and an h-index of 6, Dr. Kabir Ibrahim has demonstrated strong scholarly impact and leadership in advancing Construction 4.0 and sustainability frameworks. His work, published in high-impact journals such as Engineering, Construction and Architectural Management and Interactive Learning Environments, reflects a blend of technological innovation and sustainability in addressing challenges in developing countries

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Featured Publications

Ibrahim, K., Oyewobi, L. O., Okanlawon, T. T., & Jimoh, R. A. (2025). Influence of blockchain adoption barriers and drivers on potential application areas in the construction lifecycle: Partial least squares structural equation modelling (PLS-SEM) approach. Engineering, Construction and Architectural Management.

Xiaoxia Wang | Transportation Engineering | Best Researcher Award

Assoc. Prof. Dr. Xiaoxia Wang | Transportation Engineering | Best Researcher Award

Guangdong Universityof Technology | China

Assoc. Prof. Dr. Xiaoxia Wang from Guangdong University of Technology, Guangzhou, China, is a leading researcher specializing in transportation engineering, urban mobility optimization, and sustainable infrastructure. Her work bridges intelligent transportation systems, tunnel lighting design, multimodal transport behavior, and environmental assessment using advanced data-driven and machine learning models. She has authored 46 scientific publications with over 280 citations and an h-index of 9, contributing to high-impact journals such as Cities, Energy and Buildings, Tunnelling and Underground Space Technology, and Journal of Cleaner Production. Assoc. Prof. Dr. Xiaoxia Wang has successfully led several national and enterprise-funded projects focusing on energy-efficient tunnel systems, intelligent driving technologies, low-emission zone control, and urban renewal optimization.

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Featured Publications

  • Wang, X., He, Q., Cao, P., Wu, M., Jiang, Y., Zhou, H., & Yang, B. (2026). Restoring lighting quality in highway tunnels during luminaire malfunction conditions: An optimization-based luminous flux redistribution strategy. Tunnelling and Underground Space Technology, 168, 107161.

  • Tang, T., Jia, M., Zhang, Y., Hu, H., Pei, M., Chen, Y., & Wang, X. (2025). Why metro passengers change travel behavior: Individual-level insights from interpretable machine learning.

  • Wang, X., Zhou, H., Wen, R., Chen, J., He, Q., & Jiang, Y. (2025). Research on energy-saving effects of highway tunnel shading canopies based on a multi-factor control model: Revealing the influence mechanism of external luminance and optimization pathways for light environment regulation. Energy and Buildings, 116266.

  • Wang, X., Fan, Z., Yue, X., Zhou, Q., Lin, D., & Zou, H. (2025). The impact of weather on shared bikes. Applied Sciences

Anne-Kathrin Peters | Engineering Education | Best Researcher Award

Assoc. Prof. Dr. Anne-Kathrin Peters | Engineering Education | Best Researcher Award

KTH Royal Institute of Technology | Sweden

Assoc. Prof. Dr. Anne-Kathrin Peters is a distinguished scholar at the KTH Royal Institute of Technology, Stockholm, specializing in education for sustainability, computing education research, and feminist technology studies. Her research explores how education and technology can contribute to just and sustainable futures, emphasizing the integration of social and environmental sustainability in engineering and computing disciplines. She investigates the roles of identity, emotion, and care in technology education, advocating transformative pedagogical practices. With 38 publications, 523 citations, and an h-index of 13, Dr. Peters has made substantial contributions to interdisciplinary research spanning ICT for sustainability, gender and equality in STEM, and transformative education. She leads the research group TREES (Transformative Research in Education for Sustainability) and coordinates national initiatives promoting climate-conscious higher education.

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Artur Dzeranov | Chemical Engineering | Best Researcher Award

Mr. Artur Dzeranov | Chemical Engineering | Best Researcher Award

Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS | Russia

Mr. Artur Dzeranov is an accomplished researcher and Assistant Professor at the Moscow Aviation Institute (National Research University), specializing in nanomaterials chemistry, environmental remediation, and biotechnical systems. His research focuses on the synthesis and functionalization of iron nanoparticles, metal-organic frameworks, and hybrid nanocomposites, exploring their structural, catalytic, and biological properties. He employs advanced analytical methods such as XRD, Mössbauer spectroscopy, TEM, SEM, and IR spectroscopy to characterize materials with high precision. His studies address the interaction of nanocomposites with biological systems and ecotoxicants, advancing knowledge in sustainable nanotechnology and environmental safety. With 17 peer-reviewed publications, over 107 citations, and a strong collaborative research network, Mr. Artur Dzeranov has made notable contributions to areas such as ferroptosis mechanisms, ecotoxicity prediction using machine learning, and pollutant degradation via Fenton-based catalysis. His innovative approach bridges materials science, biotechnology, and environmental chemistry, marking him as a forward-thinking researcher with significant potential for global scientific impact.

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Featured Publications

Dzeranov, A. A., Pankratov, D. A., Bondarenko, L. S., Dzhardimalieva, G. I., Terekhova, V. A., Tropskaya, N. S., Dzhalmukhanova, A. S., & Kydralieva, K. A. (2025). Representative pH-dependent system based on humic acids-modified magnetite nanoparticles (Fe₃O₄-HA) for enhanced ciprofloxacin sorption. Separation and Purification Technology, 135808.

Bondarenko, L., Baimuratova, R., Dzeranov, A., Pankratov, D., Kicheeva, A., Sushko, E., Kudryasheva, N., Valeev, R., Tropskaya, N., & Dzhardimalieva, G. (2024). Fenton reaction-driven pro-oxidant synergy of ascorbic acid and iron oxide nanoparticles in MIL-88B(Fe). New Journal of Chemistry.

Dzeranov, A., Pankratov, D., Bondarenko, L., Telegina, L., Dzhardimalieva, G., Saman, D., & Kydralieva, K. (2024). Humic acids-modified mesoporous silica encapsulating magnetite: Crystal and surface characteristics. CrystEngComm.

Bondarenko, L., Baimuratova, R., Reindl, M., Zach, V., Dzeranov, A., Pankratov, D., Osmushko, I., Kydralieva, K., Dzhardimalieva, G., & Kolb, D. (2024). Designed magnetic nanoparticles for ferroptosis: Release of iron ions from metal-organic frameworks modified with iron oxides. Materials Today Chemistry, 102332.

Sidorov, M. Y., Gasanov, M. E., Dzeranov, A. A., Bondarenko, L. S., Kiryushina, A. P., Terekhova, V. A., Dzhardimalieva, G. I., & Kydralieva, K. A. (2024). Machine learning-enabled prediction of ecotoxicity (EC₅₀) of diverse organic compounds via infrared spectroscopy. Mendeleev Communications.