Jiqing Wang | Engineering | Research Excellence Award

Published on by Academic Awards

Dr. Jiqing Wang | Engineering | Research Excellence Award

Beihang University School of Electronic and Information Engineering | China

Dr. Jiqing Wang is an emerging researcher in electronic science and intelligent computing, specializing in high-efficiency deep neural network acceleration and hardware–software co-design. His work bridges algorithm optimization—including model quantization, separable and partial convolution, and multi-scale feature extraction—with RTL-level FPGA/SoC hardware implementations. He has contributed to peer-reviewed, Scopus-indexed research, notably on hardware-friendly joint denoising and demosaicing systems that reduce model complexity while enhancing image quality and computational efficiency. With 29 citations across 24 documents and an h-index of 4, his research demonstrates growing impact in edge AI, computer vision acceleration, and reconfigurable hardware architectures, aligning with early-stage Research Excellence recognition.

Citation Metrics (Scopus)

30

25

20

15

10

5

0

Citations
29

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index


View Scopus Profile

Featured Publications

Anastasia Feofilova | Engineering | Best Researcher Award

Published on by Academic Awards

Assoc. Prof. Dr. Anastasia Feofilova | Engineering | Best Researcher Award

Don State Technical University | Russia

Assoc. Prof. Dr. Anastasia Feofilova is an accomplished researcher in intelligent transport systems, traffic flow prediction, and urban mobility engineering. Her work focuses on advanced AI-driven traffic modeling, including hybrid CNN–LSTM/GRU architectures, attention mechanisms, geoinformation systems in transport logistics, cooperative intelligent transport systems (C-V2X), and the impacts of autonomous vehicles on road network efficiency. She has contributed to peer-reviewed journals and international book chapters, with research published in reputable outlets such as Smart Cities, Sensors, Applied and Computational Engineering, and E3S Web of Conferences. With an established Scopus profile, consistent citation impact, interdisciplinary collaborations, and contributions to software development and educational-methodological outputs, her research demonstrates both scientific rigor and applied societal relevance, particularly in smart city development and road safety enhancement.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
36

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index

View Scopus Profile
    View Orcid Profile

Featured Publications

Gennaro Trancone | Engineering | Innovative Research Award

Published on by Academic Awards

Prof. Dr. Gennaro Trancone | Engineering | Innovative Research Award

University of Naples Federico II | Italy

Prof. Dr. Gennaro Trancone is an environmental engineer and researcher whose work spans anaerobic digestion, dark fermentation, biofilm reactor design, biogas optimization, and circular bioeconomy strategies, with strong expertise in asbestos remediation, construction waste valorization, and marine environmental monitoring. His research contributions include advances in renewable biogas production from food waste, optimization of chemical treatments for biomass-based adsorbents, the use of dark fermentation–derived organic acids for concrete waste processing, and integrated chemical–ecotoxicological assessments for marine-coastal systems. He has also explored sediment washing for arsenic removal, environmental implications of micro- and nano-plastics in asphalt materials, and the mobility of toxic elements in foreshore sediments. With 155 citations, 9 published documents, and an h-index of 7, his publications in leading international journals highlight his significant role in environmental biotechnology, sustainable waste management, and the development of eco-innovative solutions for pollution prevention and resource recovery.

Profile:  Scopus | Orcid

Featured Publications

Bounaas, M., Haouichi, M., Gattal, B., Hamza, W., Benalia, A., Derbal, K., Benzina, M., Pizzi, A., Trancone, G., & Panico, A. (2025). Optimization of NaOH chemical treatment parameters for biomass-based adsorbents in cationic dye removal. Processes.

Achouri, O., Bianco, F., Trancone, G., & Race, M. (2025). A critical review of anaerobic biofilm reactors for the renewable biogas production from food waste. Journal of Environmental Chemical Engineering.

Trancone, G., Policastro, G., Spasiano, D., Race, M., Parrino, F., Fratino, U., Fabbricino, M., & Pirozzi, F. (2025). Treatment of concrete waste from construction and demolition activities: Application of organic acids from continuous dark fermentation in moving bed biofilm reactors. Chemical Engineering Journal.

Ferraro, A., Marino, E., Trancone, G., Race, M., Mali, M., Pontoni, L., Fabbricino, M., Spasiano, D., & Fratino, U. (2023). Assessment of environmental parameters effect on potentially toxic elements mobility in foreshore sediments to support marine-coastal contamination prediction. Marine Pollution Bulletin.

Veropalumbo, R., Oreto, C., Viscione, N., Pirozzi, F., Pontoni, L., Trancone, G., Race, M., & Russo, F. (2023). Exploring the effect on the environment of encapsulated micro- and nano-plastics into asphalt mastics for road pavement. Environmental Research.

Mohammed Jaafar Ali Alatabe | Wastewater Treatment | Editorial Board Member

Published on by Academic Awards

Prof. Mohammed Jaafar Ali Alatabe | Wastewater Treatment | Editorial Board Member

Mustansiriyah Uniersity | Iraq

Prof. Dr. Mohammed Jaafar Ali Alatabe is an environmental and chemical engineering researcher specializing in sustainable water treatment, nanomaterials, and advanced adsorption and oxidation technologies. His work spans the development of metal-doped zinc oxide nanostructures, biodegradable chitosan-based films, and engineered bentonite and iron-based composites that enhance antibacterial performance, dye removal, oil–water separation, and pesticide degradation. He contributes significantly to wastewater purification through photocatalysis, green nanoparticle synthesis, and optimized adsorption processes aimed at industrial pollution control. With 193 citations, 22 publications, and an h-index of 11, his research continues to advance eco-friendly materials and innovative solutions for environmental sustainability.

Profile: Scopus | Orcid

Featured Publications

Alatabe, M. J. A., Jaafar, A. D., Kariem, N. O., & Sillanpää, M. E. T. (2025). Effective adsorption of chromium (III) ions from tannery effluent wastewater using cerium oxide (CeO₂) nanoparticles. Indian Chemical Engineer.

Alatabe, M. J. A. (2025). Adsorption and advanced oxidation processes for sustainable treatment of oil produced water and organic wastewater: A review. Russian Journal of Applied Chemistry.

Alatabe, M. J. A. (2025). Development of biodegradable chitosan films reinforced with zinc-exchanged bentonite for enhanced mechanical, water barrier, and antibacterial properties. Indian Chemical Engineer.

Behfar, S., Ghorbanpour, M., & Alatabe, M. J. A. (2025). Characterisation and visible light induced antibacterial activity of Cu-doped zinc oxide nanoparticles. Indian Chemical Engineer.

Alatabe, M. J. A. (2024). Sustainable water production study from simulation humid air by condensation unit. Desalination and Water Treatment.

Jinyou Kang | Engineering | Best Researcher Award

Published on by Academic Awards

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.

Profile: Scopus | Orcid

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.

Abdulaziz Almaktoom | Engineering | Best Researcher Award

Published on by Academic Awards

Assoc. Prof. Dr. Abdulaziz Almaktoom | Engineering | Best Researcher Award

Effat University | Saudi Arabia

Assoc. Prof. Dr. Abdulaziz Almaktoom, is a distinguished scholar and leader in Operations and Supply Chain Management, serving as Associate Professor and Chair of the Business Administration Department. With 39 publications, 275 citations, and an h-index of 10, he is recognized among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia. His expertise spans operations management, project management, data analytics, industrial ergonomics, lean and six sigma, quality assurance, risk management, and applied statistics. He has pioneered innovative curriculum development, establishing specialized programs and securing full accreditation from NCAAA and AACSB. Renowned for mentoring students, leading cross-functional teams, and driving industry collaborations, he combines research excellence with impactful teaching. His strategic vision has enhanced academic standards, tripled student enrollment, and supported students’ success, while his consultancy and professional certifications underscore his commitment to advancing operational efficiency, research innovation, and applied solutions across industry and academia.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Merabet, A., Saighi, A., Saad, H., Ferradji, M. A., Laboudi, Z., & Almaktoom, A. T. (2025). AI for colon cancer: A focus on classification, detection, and predictive modeling. International Journal of Medical Informatics, 106115.

Almaktoom, A. T., & Yusuf, N. (2025). Optimizing forecasting techniques for cost-effective procurement of controlled medications in Saudi Arabia’s healthcare system. International Journal of Pharmaceutical and Healthcare Marketing.

Almaktoom, A. T. (2025). Resilience modeling of mobile service for quality assurance. Operations Management Research, 18(1), 182–194.

Sasikumar, A., Ravi, L., Devarajan, M., Selvalakshmi, A., & Almaktoom, A. T. (2024). Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things.” IEEE Access, 12, 163197–163197.

Bezoui, M., Kermali, A., Bounceur, A., Qaisar, S. M., & Almaktoom, A. T. (2024). Deep reinforcement learning for multiobjective scheduling in Industry 5.0 reconfigurable manufacturing systems. In Machine Learning for Networking: 6th International Conference, MLN 2023

Qing Lyu | Engineering | Best Researcher Award

Published on by Academic Awards

Dr. Qing Lyu | Engineering | Best Researcher Award

Wake Forest University School of Medicine | United States

Dr. Qing Lyu is a highly accomplished researcher in biomedical engineering and AI-driven medical imaging, with a strong track record of innovation and scholarly impact. He holds a B.S. and M.S. in Biomedical Engineering from Shanghai Jiao Tong University and a Ph.D. from Rensselaer Polytechnic Institute, where his dissertation focused on deep neural networks for MRI applications. Currently, he serves as Assistant Professor in Radiology and Adjunct Assistant Professor in Biomedical Engineering at Wake Forest University School of Medicine. Dr. Qing Lyu’s research spans MRI and CT super-resolution, multimodal radiomics, deep learning for disease prediction, and AI-based clinical translation. His scholarly output includes 14 documents indexed in Scopus, accruing 594 citations and an h-index of 8, reflecting both quality and influence. He holds multiple patents, has secured competitive grants, and serves on editorial boards while reviewing for top journals and conferences, underscoring his leadership in advancing biomedical imaging, AI, and translational medical research.

Profile: Scopus | Google Scholar

Featured Publications

Lyu, Q., Tan, J., Zapadka, M. E., Ponnatapura, J., Niu, C., Myers, K. J., Wang, G., … & Whitlow, C. (2023). Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: Results, limitations, and potential. Visual Computing for Industry, Biomedicine, and Art, 6(1), 9.

Lyu, Q., Shan, H., Steber, C., Helis, C., Whitlow, C., Chan, M., & Wang, G. (2020). Multi-contrast super-resolution MRI through a progressive network. IEEE Transactions on Medical Imaging, 39(9), 2738–2749.

Lyu, Q., Shan, H., & Wang, G. (2020). MRI super-resolution with ensemble learning and complementary priors. IEEE Transactions on Computational Imaging, 6, 615–624.

Lyu, Q., & Wang, G. (2022). Conversion between CT and MRI images using diffusion and score-matching models. arXiv preprint arXiv:2209.12104.

Niu, C., Li, M., Fan, F., Wu, W., Guo, X., Lyu, Q., & Wang, G. (2022). Noise suppression with similarity-based self-supervised deep learning. IEEE Transactions on Medical Imaging, 42(6), 1590–1602.

Yuh-Ming Ferng | Engineering | Best Researcher Award

Published on by Academic Awards

Prof. Yuh-Ming Ferng | Engineering | Best Researcher Award

National Tsing Hua University | Taiwan

Prof. Yuh-Ming Ferng, a distinguished Professor at the Department of Engineering and System Science, Institute of Nuclear Engineering and Science, National Tsing Hua University (NTHU), has made significant contributions to nuclear engineering through his extensive research and academic leadership. He earned his B.S. and Ph.D. in Nuclear Engineering from NTHU, where his doctoral thesis focused on the numerical simulation of the rewetting process. With a professional career spanning over three decades, Prof. Yuh-Ming Ferng has held roles as Assistant, Associate, and Full Professor at NTHU, alongside senior research positions at its Nuclear Science and Technology Development Center and the Center for Energy and Environmental Research, as well as the Institute of Nuclear Energy Research. His research expertise covers nuclear reactor safety, severe accident analysis, CFD turbulence modeling, two-phase flow, thermal management, fuel cell simulation, and renewable energy systems. With 2,470 citations, 168 documents, and an h-index of 30, he is a highly impactful researcher in his field.

Profile: Scopus

Featured Publications

  • Ferng, Y.-M., & co-authors. (2026). Determining minimum site area for deep geological repository of spent fuels using thermal simulations. Annals of Nuclear Energy. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2025). Thermal management design for the Be target of an accelerator-based boron neutron capture therapy system using numerical simulations with boiling heat transfer models. Processes. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2024). Development of thermal-hydraulic coupling model for deep-geological disposal of high-level radioactive wastes. Nuclear Engineering and Design.

  • Ferng, Y.-M., & co-authors. (2024). Numerical model for noise reduction of small vertical-axis wind turbines. Wind Energy Science.

  • Ferng, Y.-M., & co-authors. (2024). Numerical prediction of the aerodynamics and aeroacoustics of a 25 kW horizontal axis wind turbine. Journal of Mechanics.

Xun Zhang | Engineering | Best Researcher Award

Published on by Academic Awards

Mr. Xun Zhang | Engineering | Best Researcher Award

ISEP | France

Mr. Xun Zhang is a distinguished scholar specializing in embedded systems and wireless communication, currently serving as Professor at ISEP and permanent researcher at Saclay-Versailles University. He earned his MSc from Sorbonne University in 2005, PhD in Electrical Engineering from the University of Lorraine in 2009, and completed his Thesis Habilitation in Optical Wireless Communication at Sorbonne University in 2021. His career includes appointments as visiting professor at Tsinghua University, China, and De Vic University, Spain, along with postdoctoral research at Centralesupélec, Rennes. A senior member of IEEE, he has contributed extensively to the academic community as Associate Editor of IEEE Transactions on Broadcasting, Guest Editor for MDPI Sensors, Editor-in-Chief of the International Journal of Internet of Things, and organizer of major IEEE conferences including BMSB and ISCAS. He has supervised numerous postdoctoral researchers and PhD students on cutting-edge topics such as visible light communication, 6G IoT networks, indoor localization, and AI-driven optical systems. Recognized with awards including the Vivatech Innovation Award and supported by a French government PhD scholarship, his research continues to shape the future of IoT, 5G/6G, and optical communication technologies.

Profile: Google Scholar

Featured Publications

Ding, W., Yang, F., Yang, H., Wang, J., Wang, X., Zhang, X., & Song, J. (2015). A hybrid power line and visible light communication system for indoor hospital applications. Computers in Industry, 68, 170–178.

Song, J., Ding, W., Yang, F., Yang, H., Wang, J., Wang, X., & Zhang, X. (2014). Indoor hospital communication systems: An integrated solution based on power line and visible light communication. In 2014 IEEE Faible Tension Faible Consommation (FTFC) (pp. 1–6). IEEE.

Shi, L., Shi, D., Zhang, X., Meunier, B., Zhang, H., Wang, Z., Vladimirescu, A., Li, W., … (2020). 5G Internet of radio light positioning system for indoor broadcasting service. IEEE Transactions on Broadcasting, 66(2), 534–544.

Kaloxylos, A., Gavras, A., Camps Mur, D., Ghoraishi, M., & Hrasnica, H. (2021). AI and ML–Enablers for beyond 5G networks. IEEE Communications Standards Magazine, 5(2), 12–18.

Malik, B., & Zhang, X. (2015). Solar panel receiver system implementation for visible light communication. In 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 249–252). IEEE.

Hakan Yaykaşlı | Engineering | Best Researcher Award

Published on by Academic Awards

Assist. Prof. Dr. Hakan Yaykaşlı | Engineering | Best Researcher Award

Assist. Prof. Dr. Hakan Yaykaşlı | Kahramanmaraş İstiklal University | Turkey

Assist. Prof. Dr. Hakan Yaykaşlı is an accomplished academic specializing in materials science, mechanical engineering, and physics, with a distinguished background in advanced alloys, nanofillers, and composite materials. He holds dual doctoral degrees, one in Mechanical Engineering from Gaziantep University with a focus on nanofillers in hybrid fiber composites, and another in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, where he studied the structural and mechanical properties of advanced light alloys. He also earned a master’s degree in Physics, exploring the electrical and optical properties of boron-doped thin films, and several bachelor’s degrees in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management. His academic career includes roles as Specialist, Lecturer, and currently Assistant Professor at Kahramanmaraş İstiklal University. Dr. Yaykaşlı has supervised numerous theses on advanced alloys, nanostructured coatings, and innovative materials, while contributing significantly to teaching, mentorship, and applied research in his field.

Publication Profile

Scopus

Google Scholar

Academic and Professional Journey

Assist. Prof. Dr. Hakan Yaykaşlı is a distinguished scholar with a strong academic background in physics, mechanical engineering, and materials science, reflected through his extensive education and research contributions. He earned a PhD in Mechanical Engineering from Gaziantep University with a thesis on the influence of nanofillers on the fracture and interlaminar shear properties of basalt carbon hybrid fiber reinforced composites, and another PhD in Materials Science and Engineering from Kahramanmaraş Sütçü Imam University, focusing on the structural, thermal, and mechanical properties of advanced AlMgTiB light alloys. His academic journey began with a master’s degree in Physics, where he investigated the electrical and optical properties of boron-doped thin films. He also completed bachelor’s studies in physics, mechanical engineering, and occupational health and safety, along with associate degrees in machinery and emergency disaster management, reflecting his interdisciplinary expertise. Through his academic endeavors, Dr. Yaykaşlı has cultivated a deep understanding of advanced materials, mechanical systems, and applied research, making significant contributions to engineering and science.

Awards and Recognition

Assist. Prof. Dr. Hakan Yaykaşlı has been recognized for his academic contributions and research achievements through prestigious honors that highlight his dedication to advancing science and engineering. Among his notable recognitions is the Publication Incentive Award granted by TÜBİTAK, a highly regarded acknowledgment in Turkey that supports and encourages impactful scientific publications. This award reflects his commitment to producing high-quality research and contributing to the dissemination of knowledge in the fields of mechanical engineering, materials science, and physics. Such recognition not only underlines the academic value of his published works but also demonstrates his ability to align his research with national and international standards of excellence. The award serves as an important milestone in his career, motivating him to further expand his scientific output and continue guiding new research in advanced materials, nanotechnology, and composite structures while inspiring students and colleagues in his field.

Research Focus

Assist. Prof. Dr. Hakan Yaykaşlı’s research focus lies at the intersection of materials science, nanotechnology, and mechanical engineering, with a strong emphasis on the development and characterization of advanced functional materials. His studies explore the mechanical, structural, thermal, optical, and radiation shielding properties of alloys, composites, glasses, and nanomaterials, particularly high entropy alloys, borate and barium-based glasses, and polymer nanocomposites. He has contributed significantly to the field of nanostructured coatings, thin films, and hybrid fiber composites by investigating the role of nanofillers, dopants, and processing techniques on enhancing mechanical strength, fracture resistance, and multifunctional properties. A key area of his expertise is radiation shielding, where he develops innovative glass and alloy systems designed to provide effective protection while maintaining structural integrity. His interdisciplinary approach integrates experimental methods with advanced characterization techniques, contributing to applications in nuclear energy, electronics, aerospace, additive manufacturing, and sustainable engineering materials.

Publication Top Notes

Mechanical and dynamic properties of basalt fiber-reinforced composites with nanoclay particles
Year: 2020 | Citations: 76

Microstructural, thermal, and radiation shielding properties of Al50B25Mg25 alloy prepared by mechanical alloying
Year: 2022 | Citations: 54

Investigation of structural, morphological, mechanical, thermal and optical properties of PVA-ZnO nanocomposites
Year: 2021 | Citations: 35

Investigation of the properties of In doped NiO films
Year: 2014 | Citations: 34

Investigating the PVA/TiO2/CDs polymer nanocomposites: effect of carbon dots for photocatalytic degradation of Rhodamine B
Year: 2022 | Citations: 30

Conclusion

Assist. Prof. Dr. Hakan Yaykaşlı is a strong candidate for the Research for Best Researcher Award. His academic diversity, dual doctoral achievements, and contributions to materials science and mechanical engineering underline his significant role in advancing research. With increased international visibility and expanded research collaborations, he has the potential not only to compete strongly but also to emerge as a leading figure in his discipline, making him a suitable nominee for this recognition.