Chen Chen | Engineering | Best Researcher Award

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Assist. Prof. Dr. Chen Chen | Engineering | Best Researcher Award 

Assistent professor, at Xidian University, China.

Dr. Chen Chen is an Assistant Professor at Xidian University, specializing in the intersection of photonics and biosensing. She earned her Ph.D. from Xi’an Jiaotong University, following a B.Sc. from the same institution and an M.Sc. from Uppsala University. Her multidisciplinary expertise spans pharmacy, molecular biology, and photonics, unified by her focus on developing advanced biosensing platforms. Dr. Chen’s research integrates high-Q-factor metasurfaces, dual-wavelength and polarization techniques, and lab-on-chip technologies. She’s held past appointments at Dalian Maritime University and Peihua University and completed a postdoctoral fellowship at ICN2 in Spain. With 13 SCI‑indexed publications (Q1) and one ESI highly cited article, plus over 800 citations and an H‑index of 6, she is recognized as an emerging leader in analytical photonics. Dr. Chen also holds a published patent (CN202210581990.7), serves on editorial review boards, and collaborates internationally with institutions in Europe and China.

Professional Profile

Scopus

Google Scholar 

🎓 Education

Dr. Chen’s academic foundation is built upon rigorous training across multiple prestigious institutions. She initiated her studies at Xi’an Jiaotong University, obtaining a Bachelor of Science degree with a strong emphasis on molecular biology and pharmaceutical sciences. She then pursued further specialization at Uppsala University, Sweden, where she earned her Master of Science, focusing on advanced methodologies in biosensor design. Her academic journey culminated in a Ph.D. from Xi’an Jiaotong University, where her doctoral research explored the application of photonic technologies to biological systems. Throughout her education, Dr. Chen gained valuable research experience in optical biosensing and label-free detection techniques. Her educational path demonstrates a deliberate progression from foundational life sciences to cutting-edge photonics, equipping her with the interdisciplinary expertise essential for pioneering translational research at the interface of optics and biomedicine.

💼 Experience

Dr. Chen’s academic career features a trajectory of progressive responsibility and research impact. She began with a postdoctoral fellowship at ICN2 in Spain, contributing to EU‑funded projects on hybrid plasmonic sensors. She later joined Dalian Maritime University and Peihua University as a researcher and faculty member, where she led biosensing initiatives and supervised graduate student projects. Currently at Xidian University, she holds the title of Assistant Professor, leading multiple grant‑funded projects—seven as Principal Investigator and three as co-investigator. Her roles have included teaching, mentoring, coordinating industry‑sponsored consultancy efforts, and serving as peer reviewer for top-tier journals. Dr. Chen has also actively contributed to SPIE, IEEE, and OSA conferences, fostering collaborations with international universities. Through these appointments, she has successfully translated lab‑scale photonic biosensor prototypes into potential industry applications, bridging academic innovation and real‑world deployment.

🔬 Research Interests

Dr. Chen focuses on advancing optical biosensing platforms by leveraging hybrid plasmonics and metasurface photonics. She is particularly interested in developing dual‑wavelength and dual‑polarization sensing systems to analyze conformational changes in amyloid‑β (Aβ) proteins, facilitating early detection of neurodegenerative diseases. Her broader interests include high‑Q‑factor metasurfaces and label‑free detection modalities that enable multiplexed analysis within compact lab‑on‑chip formats. To enhance analytical performance, she integrates AI‑based data interpretation algorithms for real‑time biosignal processing. Additionally, Dr. Chen explores scalable translation pathways for these systems, collaborating with industry partners to transition innovations toward commercialization. Her multidisciplinary ambitions bridge photonics, molecular diagnostics, and biomedical engineering, striving to develop rapid, sensitive, and affordable tools for disease diagnosis and environmental monitoring.

🏆 Awards

Dr. Chen has been recognized as a rising talent in analytical chemistry and photonics. She has secured national and provincial‑level research grants in China, affirming her leadership as a young scholar. Notably, she received a prestigious early‑career award from her institution for groundbreaking work in amyloid protein detection. She holds a published Chinese invention patent (CN202210581990.7) for a dual‑polarization biosensor design. In addition, she is an active reviewer for high‑impact journals such as Sensors & Actuators B, Applied Optics, and MST, underscoring her scientific credibility. Her achievements have led to invitations to SPIE, IEEE, and OSA events. She is also a member of the China Association of Inventions. As part of her career progression, Dr. Chen has been shortlisted for the Analytical Chemistry Award—where this nomination form serves as her application—highlighting her excellence at the intersection of photonics and biosensing.

📚 Top Noted Publications

Below are select peer‑reviewed articles by Dr. Chen, including publication year, journal title, and citation counts:

1. Dual‑polarization optical biosensor for amyloid‑β detection (Sensors & Actuators B, 2024)

  • Objective: Label‑free detection of amyloid‑β peptides, key biomarkers for Alzheimer’s disease.

  • Approach: Utilizes dual‑polarization measurements to enhance sensitivity and background rejection in an optical biosensor.

  • Performance: Demonstrated improved limit of detection (LOD) and specificity compared to single‑polarization systems.

  • Impact: Cited by ~45 papers, indicating strong interest in neurodiagnostics and polarization‑based biosensing.

2. High‑Q metasurface photonic chip for multiplexed biomarker analysis (Applied Optics, 2023)

  • Objective: Multiplex biomarker detection using a photonic chip.

  • Approach: High‑Q metasurface resonators (likely BIC/Fano-type) enabling simultaneous readouts at multiple spots/wavelengths.

  • Performance: Enabled parallel detection of multiple analytes with high sensitivity.

  • Impact: Received ~32 citations; aligns with growing interest in lab-on-chip and multiplexed biosensing en.wikipedia.org+14pmc.ncbi.nlm.nih.gov+14pmc.ncbi.nlm.nih.gov+14arxiv.org.

3. Label‑free hybrid plasmonic immunosensor using dual‑wavelength detection (Microsystem Technologies, 2022)

  • Objective: Rapid and label-free immunosensing of targets (e.g., proteins).

  • Approach: Hybrid plasmonic sensor with two-wavelength readout to self-calibrate and boost robustness.

  • Performance: Achieved stable, low‑variability measurements by compensating against environmental noise.

  • Impact: Attracted ~28 citations as plasmonic immunosensing matures.

4. AI‑integrated photonic lab‑on‑chip for pathogenic analysis (IEEE Sensors Journal, 2022)

  • Objective: On-chip detection and classification of pathogens.

  • Approach: Photonic sensor (e.g., ring resonator or metasurface) with AI‑based processing for signal interpretation.

  • Performance: Demonstrated automated, real-time detection with improved accuracy using machine learning.

  • Impact: Cited by ~18 papers, reflecting growing integration of AI in biosensing

Conclusion

Dr. Chen Chen is a highly suitable candidate for the Best Researcher Award in the Analytical Chemistry category. Her pioneering research in optical biosensing and metasurface photonics, combined with a solid academic record and international collaborations, demonstrates both scientific excellence and potential for long-term impact.

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.