Afera Halefom Teka | Engineering | Research Excellance Award

Mr. Afera Halefom Teka | Engineering | Research Excellance Award

Afera Halefom Teka | University of Chinese Academy of Sciences | Ethiopia

Mr. Afera Halefom Teka is a researcher specializing in cartography, geospatial analysis, hydrology, and land–environment interactions, with strong expertise in GIS, remote sensing, and water resources modeling. His work addresses land use change, hydrological processes, watershed vulnerability, and environmental sustainability across diverse landscapes. With experience in academic teaching, research leadership, and interdisciplinary collaborations, he contributes to evidence-based geospatial solutions for climate resilience, watershed management, and sustainable land–water governance. His research applies spatial modeling, multi-criteria evaluation, machine learning, and advanced cartographic visualization to examine land use dynamics, climate variability, soil erosion risk, groundwater potential, and environmental change detection. He has also taken part in international trainings, conferences, and collaborative projects advancing geospatial applications for disaster risk reduction and resource planning. His contributions have been recognized through academic distinctions, research committee leadership roles, competitive training selections, and conference acknowledgments.

Citation Metrics (Google Scholar)

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Citations
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Documents
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        🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Hongming Zhang | Engineering | Best Researcher Award

Assoc. Prof. Dr. Hongming Zhang | Engineering | Best Researcher Award

Academician | Beijing University of Posts and Telecommunications | China

Dr. Hongming Zhang is an accomplished Associate Professor at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China. He earned his Ph.D. in Electrical and Electronic Engineering from the University of Southampton under the supervision of Prof. Lajos Hanzo and Prof. Lie-Liang Yang, following his M.Sc. from Southampton, B.Eng. with Honors from City, University of London, and B.Eng. in Information Engineering from Nanjing University of Aeronautics and Astronautics. Before joining BUPT, he conducted postdoctoral research at Columbia University, contributing to advancements in wireless communication technologies. His research focuses on wireless communications, heterogeneous networking, underwater acoustics, and AI-driven optimization, particularly in areas such as federated learning, intelligent reflecting surfaces, and 6G network design. As a prolific and highly cited researcher, Dr. Zhang has co-authored more than forty IEEE journal papers in collaboration with leading international scholars. His publication record includes 59 documents cited by 967 other documents, totaling 1,207 citations. He has served as an Associate Editor for Electronics Letters and a Review Editor for Frontiers in Communications and Networks. His excellence has been recognized through numerous honors, including the Boosting Project Award for Young Talents from the China Association for Science and Technology, multiple IEEE Best Paper Awards, and the Science and Technology Awards from the China Institute of Communications and the Radio Association of China. His work bridges theory and application, advancing intelligent, energy-efficient communication systems and inspiring innovation within the global telecommunications community.

Profile : Scopus | ORCID 

Featured Publications 

Zhang, H., Yang, L.-L., & Hanzo, L. (2016). Performance analysis of OFDM systems in dispersive indoor power line channels. IET Communications. [Cited by 35]

Zhang, H., Jiang, C., & Hanzo, L. (2019). Linear precoded index modulation. IEEE Transactions on Communications. [Cited by 120]

Zhang, H., & Hanzo, L. (2020). Federated learning assisted multi-UAV networks. IEEE Transactions on Vehicular Technology. [Cited by 90]

Jiang, H., Xiong, B., & Zhang, H. (2023). Hybrid far- and near-field modeling for RIS assisted V2V channels. IEEE Transactions on Wireless Communications. [Cited by 45]

Zhang, H., et al. (2024). Space-time shift keying aided OTFS modulation for orthogonal multiple access. IEEE Transactions on Communications. [Cited by 20]

Chen Chen | Engineering | Best Researcher Award

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

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🎓 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.

Lin Chen | Mechanical Engineering | Best Researcher Award

Prof. Dr Lin Chen |  Mechanical Engineering | Best Researcher Award

Member of Guangxi Mechanical Engineering Society, Director of Guangxi Computer Users Association, Young and Middle-aged Expert on Intellectual Property Rights in Chinese Universities and Research Institutions at  Guangxi university, China

Lin Chen is a dedicated researcher and educator in mechanical engineering, with expertise in signal processing, control theory, and engineering applications. His research focuses on electrified vehicles, data acquisition, and analysis. Over the past five years, he has secured 23 research grants, including two major projects funded by the National Natural Science Foundation of China (NSFC) on lithium-ion batteries for EVs. Lin has pioneered deep-learning-based control methods for multi-axial electromechanical systems, encompassing sensors, signal processing, optimization, robot control, and CNC systems. He has built and validated complex test rigs through experimental studies. His work has resulted in 41 patents and over 60 journal publications, contributing significantly to energy management and advanced control systems.

Profile:

Academic and Research Focus:

Lin Chen is actively engaged in research and education in mechanical engineering, signal processing, control theory, and engineering applications. His work spans electrified vehicles, data acquisition, and analysis, contributing to advancements in sustainable transportation and smart systems.

Research Grants and Funding:

Over the last five years, Lin Chen has secured 23 research grants as Principal Investigator (PI) and Co-Investigator (CI) in electromechanical systems and lithium-ion battery energy management. Notably, he has led two large-scale projects funded by the National Natural Science Foundation of China (NSFC) focused on lithium-ion batteries for electric vehicles (EVs).

Innovation and Technological Contributions:

Lin Chen has developed deep-learning-based control methods for multi-axial electromechanical systems, integrating sensors, digital signal processing, optimization, robot control, and CNC control. His research also includes building complex test rigs for experimental validation.

Publications and Intellectual Property:

To date, Lin Chen has produced over 60 journal papers and holds 41 patents, reflecting his significant contributions to the field of electromechanical systems and energy management technologies.

Publication Top Notes:

  • Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects
    International Journal of Molecular Sciences, 2025-02-10
    DOI: 10.3390/ijms26041466

  • Integrative Multiomics Profiling of Passion Fruit Reveals the Genetic Basis for Fruit Color and Aroma
    Plant Physiology, 2024-03-29
    DOI: 10.1093/plphys/kiad640

  • Real-Time Detection of Viruses in Aerosols with Weak Light Imaging Based on Tesla Discharge
    Applied Physics Letters, 2022-08-08
    DOI: 10.1063/5.0104527

  • Biophoton Imaging Evaluation of the Process of Rheumatoid Arthritis in Rats
    Natural Science, 2021
    DOI: 10.4236/ns.2021.1310037

  • In Vivo Imaging of Biophoton Emission in the Whole Brain of Mice
    Natural Science, 2021
    DOI: 10.4236/ns.2021.139033

  • Spectral Blueshift of Biophotonic Activity and Transmission in the Ageing Mouse Brain
    Brain Research, 2020-12
    DOI: 10.1016/j.brainres.2020.147133