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.

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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]

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