Zhi Zong | Engineering | Best Researcher Award

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Prof. Dr. Zhi Zong | Engineering | Best Researcher Award

Fuyao University of Science and Technology | China

Professor Zhi Zong is an internationally acclaimed researcher in naval architecture, ocean engineering, computational mechanics, and fluid–structure interaction, widely recognized for his influential contributions to marine hydrodynamics and advanced numerical simulation. With 334 publications, 5,653 citations, and an h-index of 38 (Scopus), his research covers underwater explosion (UNDEX) physics, nonlinear water waves, bubble dynamics, vortex-induced vibration (VIV), unsteady cavitation, water-entry dynamics, and high-fidelity computational fluid mechanics, employing cutting-edge techniques such as SPH, DEM, and data-driven modeling. He has authored over 460 scientific papers, including more than 230 SCI-indexed articles, and has been continuously listed among the Top 2% Scientists globally (2021–2025). His seven authoritative monographs published with Elsevier, Taylor & Francis/CRC, and Science Press span differential quadrature methods, solitary wave theory, computational underwater explosion mechanics, and bubble damage modeling. Professor Zong’s research has significantly advanced understanding of shock loading on marine structures, hydrodynamic impact, cavitating and multiphase flows, ice–structure interactions, ship motion reduction, and complex multi-physics simulations, with many of his highly cited publications regarded as landmark contributions to SPH modeling, multiphase flow analysis, UNDEX damage prediction, and VIV dynamics.

Profiles: Scopus| Google Scholar | ResearchGate

Featured Publications 

• Liu, M. B., Liu, G. R., Lam, K. Y., & Zong, Z. (2003). Smoothed particle hydrodynamics for numerical simulation of underwater explosion. Computational Mechanics, 30(2), 106–118.

• Liu, M. B., Liu, G. R., Zong, Z., & Lam, K. Y. (2003). Computer simulation of high explosive explosion using smoothed particle hydrodynamics methodology. Computers & Fluids, 32(3), 305–322.

• Zong, Z., & Zhang, Y. (2009). Advanced differential quadrature methods. Chapman and Hall/CRC.

• Chen, Z., Zong, Z., Liu, M. B., Zou, L., Li, H. T., & Shu, C. (2015). An SPH model for multiphase flows with complex interfaces and large density differences. Journal of Computational Physics, 283, 169–188.

• Zhang, Y. Y., Wang, C. M., Duan, W. H., Xiang, Y., & Zong, Z. (2009). Assessment of continuum mechanics models in predicting buckling strains of single-walled carbon nanotubes. Nanotechnology, 20(39), 395707.

Belkacem Bekhiti | Engineering | Best Researcher Award

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Prof. Belkacem Bekhiti | Engineering | Best Researcher Award

Prof. Belkacem Bekhiti | Institute of Aeronautics and Space Studies, University of Blida | Algeria

Dr. Bekhiti Belkacem is a distinguished academic and researcher in control theory, robotics, and aerospace engineering, currently serving as a Lecturer at the Institute of Aeronautics and Space Studies, Blida University 1, Algeria. His expertise spans guidance, navigation, and control systems, integrating theoretical modeling with real-world aerospace applications. He holds a Doctorate in Electrical Engineering with a specialization in Automatic Control from the University of Boumerdes, a Magister in Advanced Control of Complex Systems from the National Polytechnic School, Oran, a Master’s in Automatic Control from the University of Djelfa, and an Engineering degree in Electrical Engineering from Boumerdes. His career includes teaching positions at Blida and Djelfa Universities, collaboration with the Algerian Air Agency, and supervision of advanced student projects in UAVs, satellite control, and robotics. His research focuses on MIMO control, matrix polynomial theory, robotic modeling, nonlinear adaptive control, and intelligent aerospace system design, merging classical automation with artificial intelligence and fractional-order control. He has authored several books and numerous international publications, presented his work at major conferences, and earned recognition for his contributions to intelligent control and aerospace systems. His influence extends across the Algerian and international research communities, where he continues to inspire innovation and academic excellence in modern control and aeronautical engineering.

Profile : Google Scholar 

Featured Publications 

  • Bekhiti, B. (2015). On the theory of λ-matrices based MIMO control system design. Control and Cybernetics.

  • Bekhiti, B. (2017). Intelligent block spectral factors relocation in a quadrotor UAV. International Journal of Scientific Computing (IJSCC).

  • Bekhiti, B. (2018). On λ-matrices and their applications in MIMO control systems design. International Journal of Mathematical and Computational Intelligence (IJMIC).

  • Bekhiti, B. (2020). On the block decomposition and spectral factors of λ-matrices. Control and Cybernetics.

  • Bekhiti, B. (2020). Internal stability improvement of a natural gas centrifugal compressor. Journal of Natural Gas Science and Engineering.

Nan Li | Engineering | Best Researcher Award

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Dr. Nan Li | Engineering | Best Researcher Award

Associate researcher at erospace Information Research Institute, Chinese Academy of Sciences, China

Dr. Nan Li is an accomplished Associate Researcher at the State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences. With a strong interdisciplinary foundation in biomedical engineering and automation, she specializes in developing microfluidic-based nucleic acid and immunoassay detection systems. Dr. Li has contributed significantly to the advancement of rapid, portable, and sensitive diagnostic technologies, many of which are aimed at point-of-care and field diagnostics for infectious diseases. Her work is deeply rooted in translational research, seamlessly integrating microengineering, biotechnology, and clinical diagnostics.

Profile

Scopus

🎓 Education

Dr. Nan Li received her Ph.D. in Biomedical Engineering from the prestigious Tsinghua University in 2022, after completing her undergraduate degree in Automation from the Beijing Institute of Technology in 2016. During her doctoral studies, she focused on the development of centrifugal microfluidic platforms and integrated biosensing systems, gaining critical experience in both academic research and real-world biomedical applications. Her academic journey laid the groundwork for a career dedicated to creating impactful diagnostic tools for global healthcare needs.

💼 Experience

Dr. Li currently serves as an Associate Researcher at the Chinese Academy of Sciences, where she leads projects under the State Key Laboratory of Transducer Technology. She has also been actively involved in collaborative efforts with academic and industrial partners to translate laboratory innovations into commercial and clinical applications. In addition to her research responsibilities, Dr. Li contributes to scholarly activities as a journal reviewer for Microsystems & Nanoengineering and Current Analytical Chemistry. She has also delivered oral presentations at prominent international conferences such as Transducers 2025 and IEEE Sensors 2024, further reflecting her stature in the field.

🔬 Research Interests

Dr. Li’s core research interest lies in microfluidic technology for nucleic acid amplification, multiplex detection, and point-of-care diagnostics. She is particularly focused on developing integrated fluidic systems that are capable of rapid, accurate, and simultaneous detection of multiple pathogens or biomarkers. Her work often involves combining engineering principles such as centrifugal force and Euler force with advanced biochemical assays like LAMP and CRISPR. This interdisciplinary approach enables her to create portable diagnostic tools with immense potential in epidemic control, food safety, and personalized medicine.

🏆 Awards

Dr. Nan Li’s exceptional work has earned her several prestigious honors, including the Outstanding Reviewer Award from Microsystems & Nanoengineering in 2024. She was recognized as one of the Outstanding Graduates in Beijing in both 2016 and 2022. She also received the First Prize of Tsinghua University Comprehensive Scholarship in 2020 and the Gold Star Distinguished Research Award from the Biochip (Beijing) National Engineering Research Center in 2018 and 2020. Earlier in her academic journey, she was a recipient of the Tsinghua Future Scholar Scholarship, an award conferred upon top-performing doctoral candidates.

📚 Publications

Among Dr. Li’s numerous scientific publications, the following seven represent high-impact research in her field:

  1. Tianping Zhou, Nan Li* (2025). Sensors and Actuators B: Chemical. “Shockproof magnetofluidic multiplex nucleic acid system” – DOI: 10.1016/j.snb.2025.138139.

  2. Nan Li# et al. (2025). Biosensors & Bioelectronics, “Chip-based universal strategy for multiplex PCR”, Vol. 269, 116921.

  3. Bin Xiao# et al., Nan Li* (2024). Food Chemistry, “Toothpick DNA extraction with LAMP platform”, Vol. 460, 140659.

  4. Jiajia Liu# et al., Nan Li# (2024). Small Methods, “One-pot multiplex virus detection”, Vol. 8, 2400030. (Cover Article).

  5. Nan Li# et al. (2022). Sensors and Actuators B: Chemical, “Euler force-assisted sequential liquid release”, Vol. 359, 131642.

  6. Nan Li et al. (2022). Lab on a Chip, “Fully integrated SNP genotyping for hearing loss”, Vol. 22(4): 697–708. (Cover Article).

  7. Nan Li# et al. (2021). Microsystems & Nanoengineering, “Raw-sample-in multiplexed detection system”, Vol. 7(1): 94.

These works are widely cited and demonstrate her contributions to practical innovations in diagnostic technologies.

✅ Conclusion

Dr. Nan Li’s trajectory exemplifies a dedicated and forward-thinking researcher whose work merges engineering innovation with biomedical applications. Through her trailblazing research in microfluidic systems and portable diagnostics, she has not only addressed pressing needs in healthcare but also helped shape the future of rapid disease detection. Her consistent output of high-impact publications, international recognition, and impressive list of awards collectively make her a deserving candidate for a Best Paper Award. Dr. Li’s blend of creativity, precision, and practical implementation reflects the qualities that such an award seeks to honor.

Zeng Meng | Engineering | Best Researcher Award

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Prof. Zeng Meng | Engineering | Best Researcher Award

Professor, at Hefei university of technology, China.

Professor Meng Zeng is a leading academic at Hefei University of Technology, specializing in the optimization of uncertain structures, aerospace and civil structural design, and structural topology optimization. With a sharp focus on engineering innovation, Prof. Zeng has guided over 20 funded projects, including prestigious grants from the National Natural Science Foundation of China. Recognized as an Outstanding Youth of Anhui Province, he is celebrated for his dedication to scientific progress. His excellence is marked by receiving two first-class Science & Technology Progress Awards from the Anhui Society of Mechanics. From 2021 to 2024, he has been consistently listed among the world’s top 2% scientists and is a highly cited author in the journal Computers & Structures. 📚 He has authored 90+ SCI papers, including 50+ as the first or corresponding author. His work has received over 4,200 citations, with 8 ESI highly cited papers and 3 hot papers. 🌟

Professional Profile

Scopus

ORCID

🎓 Education

Professor Meng Zeng earned his academic credentials with distinction in civil and structural engineering. Though detailed records of his academic institutions are not publicly specified, his educational background reflects a strong foundation in mechanics and structural design, which paved the way for his current leadership in aerospace and civil engineering innovation. Throughout his education, Prof. Zeng focused on uncertainty modeling, computational mechanics, and optimization techniques, equipping him with the analytical expertise required for cutting-edge structural analysis. His academic training has fostered a mindset geared toward solving real-world engineering problems using theoretical rigor and computational sophistication. 🎓 As an educator and mentor, he now imparts this rich knowledge base to his students and research collaborators at Hefei University of Technology. His journey from a dedicated student to a globally recognized professor exemplifies the impact of solid academic preparation in shaping research excellence. 💼

💼 Experience

Professor Meng Zeng currently serves as a professor at Hefei University of Technology, where he leads research in structural optimization and engineering mechanics. With over 20 funded projects, his contributions span across the National Natural Science Foundation of China (NSFC), including two general and two youth projects. 🏗️ He has applied his research expertise to both aerospace and civil structure applications, combining theory with practical innovations. His role encompasses research leadership, postgraduate supervision, and national-level project management. His accolades from Anhui Society of Mechanics, including two first prizes in scientific and technological progress, affirm his high impact on the engineering community. 🏆 Prof. Zeng also represents China in international research through his involvement in peer-reviewed journals and collaborations. A consistent presence in the top 2% of global scientists (2021–2024), his work shapes modern methodologies in topology optimization and structural resilience under uncertain conditions. 🧠

🔬 Research Interest 

Prof. Meng Zeng’s research interests lie at the intersection of engineering mechanics and computational optimization. His primary focus is on the optimization of uncertain structures, where he develops methods to enhance structural performance despite variations in material properties or loading conditions. 🚀 He is also deeply involved in aerospace and civil structure analysis, contributing to safer and more efficient designs. Prof. Zeng is renowned for his work in structural topology optimization, an area that determines the optimal material layout within a given design space, a key element in lightweight and high-performance structural engineering. 🔧 His research integrates probabilistic methods, finite element analysis, and machine learning algorithms to solve complex, real-world problems. As a thought leader, Prof. Zeng not only advances theoretical mechanics but also offers transformative insights for engineering design under uncertainty, positioning him at the forefront of innovation in applied structural optimization. 📈

🏅 Awards

Professor Meng Zeng’s academic excellence and scientific innovation have earned him numerous accolades. Notably, he was selected as an Outstanding Youth of Anhui Province, a recognition of his early-career contributions to engineering science. 🏆 He has received two First-Class Science and Technology Progress Awards from the Anhui Society of Mechanics, underscoring the high societal and technological value of his work. Between 2021 and 2024, Prof. Zeng was consecutively listed among the world’s top 2% scientists, a global benchmark of research excellence. Additionally, he is a highly cited author in the prestigious journal Computers & Structures, highlighting the global reach and influence of his research. 🌟 These awards are a testament to his impact on both fundamental research and practical engineering applications, positioning him as a top-tier scientist and thought leader in the field of structural mechanics and optimization. 🎖️

📚 Top Noted Publications

Professor Meng Zeng has published over 90 peer-reviewed SCI papers, with more than 50 as first or corresponding author. His work is widely cited, having accumulated over 4,200 Google Scholar citations. He has contributed 8 ESI Highly Cited Papers and 3 Hot Papers, affirming his global academic influence. 🔍 His research often appears in top journals such as:

  1. Reliability-Based Topology Optimization (RBTO):

    • Articles:

      • Data-driven RBTO using extended multiscale FEM and neural networks

      • RBTO for continuum structures with nonlinear dynamics

      • Stress-constrained RBTO with fidelity transformation method

    • Highlights: Use of machine learning (e.g., neural networks), multiscale finite element modeling, and probabilistic analysis to optimize structural performance under uncertainty.

  2. Dynamic and Transient Response in Optimization:

    • Articles:

      • Transient dynamic topology optimization using equivalent static loads

      • Uncertainty-oriented topology optimization of dynamic structures

    • Highlights: Focus on efficient dynamic response prediction and hybrid uncertainties (probabilistic + spatial/random field modeling).

  3. Metaheuristic and Bio-Inspired Algorithms:

    • Article:

      • Starfish Optimization Algorithm (SFOA) – Compared with 100 optimizers.

    • Highlights: Development of novel optimization algorithms inspired by biological behaviors; applied to structural or global optimization problems.

  4. Concurrent Topology and Material Design:

    • Article:

      • Concurrent optimization of topology and fiber orientation under stress constraints

    • Highlights: Combines material orientation (like composite fibers) with shape optimization for optimal mechanical performance.

  5. Uncertainty Quantification Techniques:

    • Article:

      • Weight index-based uniform partitioning of multi-dimensional probability space

    • Highlights: Proposes a novel method to efficiently sample and compute in high-dimensional uncertainty spaces.

  6. Materials & Structural Systems Innovation:

    • Articles:

      • Porous functionally graded composite plates with graphene reinforcements

      • Non-uniform rectangular honeycomb sandwich panel

    • Highlights: Focus on lightweight, high-strength materials and sandwich structures for performance and efficiency.

Conclusion

Professor Meng Zeng is a highly suitable candidate for the Best Researcher Award. His extensive research output, impactful publications, strong citation record, and recognition at national and international levels highlight a career marked by innovation, consistency, and academic leadership. With minor improvements in global engagement and interdisciplinary expansion, he stands out as a role model for excellence in engineering research.

Mohsen Hatami | Electrical and Computer | Best Researcher Award

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Mohsen Hatami | Electrical and Computer | Best Researcher Award

PhD candidate at Binghamton University, United states

Mohsen Hatami is a highly motivated and accomplished Ph.D. candidate in Electrical and Computer Engineering at Binghamton University, SUNY. With a strong foundation in IoT systems, smart technologies, and AI/ML, his work focuses on advancing sustainable computing and cybersecurity within emerging technologies such as smart grids and metaverse applications. Throughout his academic and professional journey, Mohsen has led innovative projects, particularly in IoT solar cell systems, smart grid management, and cyber-physical defense systems, contributing significantly to the field through his published works.

Profile:

Google scholar

Education:

Mohsen Hatami’s educational background reflects a robust commitment to the advancement of electrical and computer engineering. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Binghamton University, where he has achieved a remarkable GPA of 3.94/4.0. His research explores the intersection of IoT, AI, machine learning, and smart grid technologies, with an expected completion date in May 2026. Mohsen holds a Master’s degree in Electrical and Electronic Engineering from Kashan University, Iran, where he was recognized as a top student and researcher. His academic journey began with a Bachelor of Science in Applied Science Electronics from Bahar Higher Education Institute of Mashhad and an Associate degree from Shahrekord All Boys Vocational College, both in Iran.

Experience:

Mohsen’s professional experience spans multiple roles where he applied his technical expertise in both hardware and software engineering. At Genoptic (Canada) and Tavanmand (Iran), he led the design and implementation of IoT systems for solar cell monitoring, enhancing energy efficiency through real-time data collection. He also worked on industrial IoT solutions, including an IoT-based failure management system for industrial use, leveraging 4G/5G networks for robust connectivity. Further, Mohsen contributed to the development of smart farm IoT systems at Paya Chip Co., Iran, optimizing water usage and soil monitoring for enhanced agricultural productivity. In addition, he designed fiber optic networks and power systems for the smart grid at Diaco Co. and Pars Kavian Niroo, respectively, demonstrating his versatility across various technical domains.

Research Interests:

Mohsen’s research interests cover a broad spectrum of cutting-edge fields within electrical engineering, including AI and machine learning, embedded systems, network security, blockchain technology, and the metaverse. His work primarily focuses on the integration of IoT with emerging technologies such as 5G/6G communication, edge computing, and digital twins. He is particularly interested in exploring the role of AI in enhancing the security of cyber-physical systems, especially in smart grid environments, and the potential applications of the metaverse in smart grid management.

Awards:

Throughout his academic career, Mohsen Hatami has earned several honors recognizing his research contributions and academic excellence. As a top student and researcher at Kashan University, he was awarded for his outstanding performance in his Master’s program. Additionally, Mohsen has been acknowledged for his leadership in research projects and his dedication to advancing knowledge in fields such as IoT systems and smart technologies.

Publications:

Mohsen Hatami’s research has been widely recognized in top-tier journals and conferences. Some of his key publications include:

  1. Hatami, M., Nasab, M. A., Chen, Y., Mohammadi, J., Ardiles-Cruz, E., & Blasch, E. (2024). ELOCESS: An ESS Management Framework for Improved Smart Grid Stability and Flexibility. IEEE Transactions on Consumer Electronics.

  2. Hatami, M., Qu, Q., Chen, Y., Kholidy, H., Blasch, E., & Ardiles-Cruz, E. (2024). A Survey of the Real-Time Metaverse: Challenges and Opportunities. Future Internet, 16(10), 379.

  3. Hatami, M., Nasab, M. A., Zand, M., Padmanaban, S. (2024). Demand Side Management Programs in Smart Grid Through Cloud Computing. Renewable Energy Focus, 51, 100639.

  4. Hatami, M., Khan, M., Zhao, W., Chen, Y. (2024). A Novel Trusted Hardware-Based Scalable Security Framework for IoT Edge Devices. Discover Internet of Things, 4(1), 4.

  5. Hatami, M., Qu, Q., Chen, Y., Mohammadi, J., Blasch, E., Ardiles-Cruz, E. (2024). ANCHOR-Grid: Authenticating Smart Grid Digital Twins Using Real World Anchors.

  6. Hatami, M., Qu, Q., Xu, R., Nagothu, D., Chen, Y., Li, X., Blasch, E., Ardiles-Cruz, E. (2024). The Microverse: A Task-Oriented Edge-Scale Metaverse. Future Internet, 16(2), 60.

  7. Hatami, M., Nikoufard, M. (2018). Analysis of Ultra-Compact TE to TM Polarization Rotator in InGaAsP and SOI Technologies. Optik-International Journal for Light and Electron Optics, 153, 9-15.

Conclusion:

Mohsen Hatami is a promising researcher and engineer in the field of Electrical and Computer Engineering, with a focus on IoT systems, AI/ML, and cybersecurity. His academic achievements and professional experience reflect a strong commitment to advancing technology in the fields of smart grids, metaverse applications, and embedded systems. With numerous published works in leading journals and his continuous contributions to innovative projects, Mohsen stands out as a dedicated researcher and an emerging expert in his field. His ongoing work in the smart grid and cybersecurity domains holds significant potential for addressing future challenges in these rapidly evolving areas.

Karla Filian | Engineering | Best Researcher Award

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Mrs Karla Filian |  Engineering |  Best Researcher Award

Graduate student in the Master’s program in Earth Sciences,  at Faculty of Engineering in Earth Sciences, ESPOL Polytechnic University,  Ecuador

Karla Filian Haz is a graduate student pursuing a Master’s in Earth Sciences at ESPOL Polytechnic University. With a background in Mining Engineering, she works as a Project Analyst, contributing to research and academic initiatives in Earth Sciences. Her research focuses on environmental pollution mitigation, water treatment technologies, and sustainable engineering solutions. She has co-authored two indexed journal articles and two conference papers, collaborating with international institutions such as Ghent University and the Mexican Geological Survey. Her work aims to develop innovative solutions for environmental management in mining and water treatment.

Profile:

Academic & Professional Background:

Mining Engineer pursuing a Master’s in Earth Sciences at ESPOL. Currently a Project Analyst, contributing to research, academic initiatives, and program coordination in Earth Sciences. Expertise in event organization, documentation management, and compliance.

Research & Innovations:

  • Research Projects: 4
  • Publications: 2 indexed journal articles, 2 conference papers
  • Citations: h-index: 1, Citations: 2
  • Collaborations: Ghent University (Belgium), Catholic University of Santiago de Guayaquil, Universidad del Pacífico (Ecuador), Mexican Geological Survey (SGM)

Research Areas:

Environmental engineering, pollution mitigation in mining, water treatment technologies, sustainable engineering solutions.

Key Contributions:

Research on environmental pollution, tailing dam risks, and desalination optimization using advanced membranes. Findings contribute to sustainable solutions for water treatment and environmental management in the mining industry.

Publication Top  Notes:

Title: Assessment of Environmental Pollution and Risks Associated with Tailing Dams in a Historical Gold Mining Area of Ecuador
Authors: B. Salgado-Almeida, A. Briones-Escalante, D. Falquez-Torres, E. Peña-Carpio, S. Jiménez-Oyola
Journal: Resources (2024)
Citations: 1