Jiqing Wang | Engineering | Research Excellence Award

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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


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Featured Publications

Anastasia Feofilova | Engineering | Best Researcher Award

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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
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Featured Publications

Gennaro Trancone | Engineering | Innovative Research Award

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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.

Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

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Prof. Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

Bialystok University of Technology | Poland

Prof. Kanstantsin Miatliuk is a leading researcher in robotics, mechatronics, and systems science, recognized for advancing hierarchical systems theory, mechatronic design methodologies, robotic motion control, intelligent grasping, and neural-network-based modelling. His work spans conceptual modelling of mechatronic and biomechatronic systems, biologically inspired robotics, task-optimized manipulator design, dynamic grasp simulation, UAV photogrammetry, and brain–computer interfaces for mobile robots, as well as cutting-edge robotic work-cell design using virtual simulation tools. With 302 citations, 47 publications, and an h-index of 9, he has made significant contributions across high-impact journals and international conferences, supported by extensive global collaborations, editorial leadership, and involvement in major research initiatives that continue to shape the future of intelligent robotic systems.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

  • Design of a Robotic Work Cell Using Hierarchical Systems Approach and Visual Components Software
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Design of a robotic work cell using hierarchical systems approach and Visual Components software. Applied Sciences, 15(9), Article 4744.

  • Neural Network Modelling of Kinematic and Dynamic Features for Signature Verification
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Neural network modelling of kinematic and dynamic features for signature verification. Pattern Recognition Letters, 187, 130–136.

  • Mechatronic Design and Control of a Robot System for Grinding
    Author, A. A., Author, B. B., Author, C. C., & Author, D. D. (Year unavailable). Mechatronic design and control of a robot system for grinding [Conference paper].

  • Task-Oriented Trajectory Optimization for Planar 3R Robot
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (Year unavailable). Task-oriented trajectory optimization for planar 3R robot

Barthelemy Zra Mha | Mechanics | Excellence in Academia Award

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Mr. Barthelemy Zra Mha | Mechanics | Excellence in Academia Award

Ngaoundere University | Cameroon

Mr. Barthelemy Zra Mha is an emerging researcher in solids mechanics, materials science, and applied physics, with a growing academic footprint in nonlinear vibration control, piezoelectric structures, and sustainable construction materials. His work integrates analytical modelling, experimental testing, and advanced data analysis to address challenges in mechanical behaviour and material performance. He has contributed to peer-reviewed publications, including studies on the nonlinear vibration control of piezoelectric–elastic–piezoelectric sandwich beams and the thermophysical characterization of natural-fiber-stabilized adobe materials, reflecting his dual interest in smart materials and eco-efficient building technologies. His research experience spans laboratory supervision, materials characterization, mechanical testing, and scientific communication. Recognized for academic excellence early in his career, he continues to develop a strong research profile within the Mechanics, Materials, and Acoustics Group at the University of Ngaoundéré.

Profile: Orcid

Featured Publications

Zra Mha, B., & Ntamack, G. E. (2025). Nonlinear vibration control of piezoelectric–elastic–piezoelectric sandwich beam. World Journal of Mechanics.

Zra Mha, B., Dawoua Kaoutoing, M., Moubeke, C. A., Lemanle Sanga, R. P., Doko, V., & Ntamack, G. E. (2025). Thermophysical characterization of adobes stabilized with natural fibers. Construction and Building Materials.

Sina Farahani | Structural Engineering | Best Researcher Award

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Assist. Prof. Dr. Sina Farahani | Structural Engineering | Best Researcher Award

Shahid Chamran University | Iran

Assist. Prof. Dr. Sina Farahani is a dedicated researcher in Structural and Earthquake Engineering, with expertise spanning seismic design of structures, offshore wind turbine foundations, soil–structure interaction, and performance-based design. His research integrates advanced computational modeling, finite element analysis, and machine learning techniques to improve the seismic resilience of reinforced concrete and steel structures. Assist. Prof. Dr. Sina Farahani’s recent works, published in prestigious journals such as Engineering Structures, Earthquake Engineering & Structural Dynamics, Computers and Geotechnics, and Structures, focus on liquefaction-induced settlement prediction, buckling-restrained braced frames, and AI-driven settlement forecasting frameworks for offshore foundations. He has significantly contributed to developing displacement-based seismic design methodologies, offering new insights into the nonlinear dynamic behavior and optimization of complex structural systems. A member of several national and international engineering societies, Assist. Prof. Dr. Sina Farahani continues to advance sustainable and resilient structural engineering solutions through innovative interdisciplinary research and impactful publications.

Profile: Google scholar

Featured Publications

  • Farahani, S., Akhaveissy, A. H., & Damkilde, L. (2021). Equivalent viscous damping for buckling-restrained braced RC frame structures. Structures, 34, 1229–1252.

  • Nazarimofrad, E., Farahani, S., & Zahrai, S. M. (2019). Multiobjective optimal placement of active tendons to control irregular multistory buildings with soil–structure interaction. The Structural Design of Tall and Special Buildings, 28(4), e1581.

  • Farahani, S., & Barari, A. (2023). A simplified procedure for the prediction of liquefaction‐induced settlement of offshore wind turbines supported by suction caisson foundation based on effective stress analyses. Earthquake Engineering & Structural Dynamics, 52(15), 5072–5098.

  • Mohebkhah, A., & Farahani, S. (2016). Seismic behavior of direct displacement-based designed eccentrically braced frames. International Journal of Engineering—Transactions C: Aspects, 29(6), 752–760.

  • Moghaddam, A., Barari, A., Farahani, S., Tabarsa, A., & Jeng, D. S. (2023). Effective stress analysis of residual wave-induced liquefaction around caisson-foundations: Bearing capacity degradation and an AI-based framework for predicting settlement. Computers and Geotechnics, 159, 105364.

Abdulaziz Almaktoom | Engineering | Best Researcher Award

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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

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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.

Hemantkumar Kadam | Heat Transfer | Best Researcher Award

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Mr. Hemantkumar Kadam | Heat Transfer | Best Researcher Award

Pimpri Chinchwad College of Engineering | India

Mr. Hemantkumar Kadam, Assistant Professor at Pimpri Chinchwad College of Engineering, Pune, is a dedicated researcher in mechanical engineering, pursuing a Ph.D. at Shivaji University, Kolhapur, with a focus on nanofluids, surfactants, stability, and heat transfer enhancement. With an M.Tech in Thermal Engineering and a B.E. in Mechanical Engineering, he has conducted extensive experimental studies on alumina nanofluids stabilized with biosurfactants (Rhamnolipids) and synthetic surfactants (SDS, SLS, PVP), analyzing thermophysical properties such as viscosity, interfacial tension, and stability using advanced techniques like UV-Vis spectroscopy, DLS, and zeta potential. His research demonstrates the comparative environmental and performance advantages of biosurfactants over synthetic surfactants, offering sustainable approaches for heat transfer enhancement in renewable energy, HVAC, and electronic cooling systems. Mr. Hemantkumar Kadam has published four high-quality papers in SCIE and ESCI journals, holds two granted copyrights, and has a patent under process. He is an active member of ISTE and maintains professional profiles across Google Scholar, ORCID, ResearchGate, Web of Science, and Scopus. Although his h-index is currently 1 with four citations, his work reflects innovative experimental research, strong academic contributions, and promising potential to impact sustainable thermal management technologies, making him a suitable candidate for the Best Research Award.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Nikhade, H. V., Rohokale, O. R., Kalyankar, A. R., Deodikar, A. A., & Deoghare, S. U. (2022). Electronic differential using the concept of torque vectoring. In Proceedings of the 6th International Conference on Computing, Communication, Control and Automation (ICCUBEA 2022). IEEE.

Kadam, H. H., & Pise, A. T. (2025). A thorough analysis of surfactant addition effects on the thermophysical properties and stability of nanofluids. Journal of Surfactants and Detergents, 28(4), 775–812.

Kadam, H. H., Pise, A. T., & Sali, A. V. (2025). Experimental study: The impact of surfactant and nanoparticles concentration on the stability of alumina nanofluids. Journal of Dispersion Science and Technology, 1–15.

Kadam, H. H., & Pise, A. T. (2025). An experimental investigation on the determination of critical micelle concentration (CMC) of various surfactants using the surface tension method. Journal of Polymer and Composites, 13(5).

Kadam, H. H., & Pise, A. T. (2025). Influence of rhamnolipids, anionic surfactants, and Al2O3 nanoparticles on the viscosity of distilled water-based fluids: A comparative experimental study. Journal of Surfactants and Detergents.

Yuh-Ming Ferng | Engineering | Best Researcher Award

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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.