Oussama Baaloudj | Engineering | Young Scientist Award

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Oussama Baaloudj | Engineering | Young Scientist Award

Università degli Studi della Basilicata | Italy

Dr. Oussama Baaloudj is a dedicated postdoctoral researcher and process engineer whose work centers on advancing sustainable water treatment and environmental process engineering. He is currently contributing to innovative research at the University of Basilicata, where he plays a key role in the development and validation of decentralized urban wastewater treatment systems within the PRIMA SAFE project, a multinational initiative focused on promoting safe and sustainable water reuse in agriculture, food production, and environmental management. His career reflects a strong international dimension, with research experiences across Italy, Canada, France, and Algeria, allowing him to collaborate effectively in diverse academic and industrial settings. Previously, he worked as a part-time researcher at the University of Houari Boumediene, where he contributed to projects in process and reaction engineering within the Laboratory of Reaction Engineering. His doctoral internship at the University of Quebec in Trois-Rivières strengthened his expertise in designing and synthesizing advanced sillenite-based photocatalysts, further enhancing his interdisciplinary research capabilities. A highly productive researcher, he has published extensively in high-impact journals and accumulated more than 1,500 citations, showcasing the visibility and relevance of his contributions to the scientific community. His excellence has been recognized through notable honors, including the Scopus Award in 2022 and the FEEM Health Committee Research Award in 2025. Beyond his research activities, he has served as Guest Editor for journals such as Catalysts and ChemEngineering, and has acted as a peer reviewer for more than 50 scientific manuscripts, contributing to the quality and integrity of scholarly publishing. Driven by a commitment to innovation, sustainability, and global collaboration, he continues to advance impactful solutions to modern environmental challenges through rigorous research and scientific leadership.

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Nandha Gopal | Engineering | Editorial Board Member

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Nandha Gopal | Engineering | Editorial Board Member

NANDHA COLLEGE OF TECHNOLOGY | India

Dr. N. Nandhagopal is a distinguished academic and researcher in Electronics, Communication Engineering, and Embedded System Technology, recognized for his extensive contributions to engineering education, research innovation, and academic leadership. With a strong foundation in electronics and applied electronics, further strengthened by advanced degrees including an M.E., Ph.D., and a highly commended D.Sc., he has developed deep expertise in embedded systems, medical image processing, and intelligent computational techniques. His doctoral research, focused on computer-aided diagnosis for automatic detection of brain tumors using MRI imaging, reflects his commitment to impactful, technology-driven healthcare solutions. Over the course of his career, he has held progressively responsible positions across several engineering institutions, beginning as a lecturer and advancing to Assistant Professor, Associate Professor, Professor, Head of Department, and Principal. His leadership roles demonstrate his ability to guide academic programs, mentor faculty, and enhance institutional quality. Throughout his professional journey, he has contributed to curriculum development, research supervision, and the implementation of innovative teaching methodologies aligned with AICTE standards. Dr. Nandhagopal is known for fostering research culture, promoting interdisciplinary collaboration, and integrating emerging technologies into engineering education. His strong academic background, combined with over a decade of teaching and administrative experience, highlights his dedication to advancing engineering knowledge and shaping the next generation of engineers.

Profile: Orcid | Google Scholar | Scoopus

Featured Publications

Nandhagopal, N., & Karnan, M. (2010). Diagnose brain tumor through MRI using image processing clustering algorithms such as Fuzzy C Means along with intelligent optimization techniques. In Proceedings of the 2010 IEEE International Conference on Computational Intelligence and Computing Research (pp. 241–246). IEEE.

Navaneethan, S., & Nandhagopal, N. (2021). RE-PUPIL: Resource efficient pupil detection system using the technique of average black pixel density. Sādhanā, 46(3), 114.

Satya Sreedhar, P. S., & Nandhagopal, N. (2022). Classification similarity network model for image fusion using ResNet50 and GoogLeNet. Intelligent Automation & Soft Computing, 31(3), 1–12.

Radhakrishnan, M., Panneerselvam, A., & Nachimuthu, N. (2020). Canny edge detection model in MRI image segmentation using optimized parameter tuning method. Intelligent Automation & Soft Computing, 26(6), 1–10.

Nandhagopal, N., Navaneethan, S., Nivedita, V., Parimala, A., & Valluru, D. (2021). Human eye pupil detection system for different iris database images. Journal of Computational and Theoretical Nanoscience, 18(4), 1239–1242.

Mehmet Özgüe Çelik | Engineering | Best Researcher Award

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Mehmet Özgüe Çelik | Engineering | Best Researcher Award

Mersin University | Turkey

Dr. Mehmet Özgür Çelik is a dedicated researcher and academic in the Department of Geomatics Engineering at Mersin University, Türkiye. With a strong academic foundation that includes a Bachelor’s and Master’s degree in Geomatics Engineering from Karadeniz Technical University and a Ph.D. in Remote Sensing and Geographic Information Systems, his work bridges advanced spatial technologies with pressing environmental challenges. His research primarily focuses on Geographic Information Systems (GIS), remote sensing applications, groundwater monitoring, climate change analysis, and land administration systems. Through his scholarly pursuits, Dr. Çelik explores innovative methods for integrating spatial data and satellite imagery to support sustainable resource management, environmental monitoring, and spatial planning. As a Research Assistant, he has contributed to multiple academic projects and publications that advance understanding in geospatial modeling, environmental assessment, and the application of geoinformatics in decision-making processes. His work is distinguished by its interdisciplinary nature, combining technical precision with environmental and societal relevance. Actively involved in academic research communities, Dr. Çelik maintains an active presence on platforms such as ORCID, ResearchGate, Google Scholar, and Publons, where his studies contribute to the global discourse on geospatial science and environmental sustainability. His commitment to leveraging GIS and remote sensing technologies to address challenges related to climate change, land use, and water resources underscores his vision of using spatial intelligence for a more sustainable and data-driven future.

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Featured Publications

  • Çelik, M. Ö., Orhan, O., & Kurt, M. A. (2025, October 1–3). Mersin’de iklim değişikliğinin avokado yetiştiriciliğine etkilerinin MaxEnt ile tahmini ve mevcut arazi örtüsü ile karşılaştırılması [Symposium presentation]. TMMOB Harita ve Kadastro Mühendisleri Odası, 20. Türkiye Harita Bilimsel ve Teknik Kurultayı, Ankara, Türkiye.

  • Çelik, M. Ö., Orhan, O., & Kurt, M. A. (2025). Drivers and impacts of climate change: Comprehensive review of natural and anthropogenic forcing with GCM-based projections. Geomatics and Environmental Engineering, 19(5), 71–101.

  • Çelik, M. Ö., Orhan, O., & Kurt, M. A. (2025). Predicting climate change impacts on sub-tropical fruit suitability using MaxEnt: A regional study from Southern Türkiye. Sustainability, 17(12), 5487.

  • Çoruhlu, Y. E., Alemdar, A., & Çelik, M. Ö. (2024). Investigating the possible effects of the authorization of notaries in real estate selling transactions on the land registry system, with Cadastre 2014’s vision and the light of the opinions of the employees of GDLRC. The Black Sea Journal of Sciences, 14(3), 1245–1274.

  • Çelik, M. Ö., Kuşak, L., & Yakar, M. (2024). Assessment of groundwater potential zones utilizing geographic information system-based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution methods: A case study in Mersin, Türkiye. Sustainability, 16(5), 2202.

  • Çelik, M. Ö., & Çoruhlu, Y. E. (2021, November). Development of an object-oriented geographical data model for the management of SPEA. In International Conference on Mediterranean Geosciences Union (pp. 271–274).

Mohammad Marjani | Environmental Science | Best Researcher Award

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Mohammad Marjani | Environmental Science | Best Researcher Award

Memorial University of Newfoundland | Canada

Dr. Mohammad Marjani is a dedicated researcher and academic specializing in remote sensing, geospatial intelligence, and artificial intelligence applications for environmental monitoring. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Memorial University of Newfoundland, where his research focuses on developing advanced remote sensing and deep learning algorithms for environmental and climate-related analysis under the supervision of Dr. Masoud Mahdianpari. He earned his Master of Science in Geospatial Information Systems from K.N. Toosi University of Technology, where he conducted innovative research on wildfire spread modeling using deep learning techniques. His undergraduate degree in Geodesy and Geomatic Engineering from the same university explored 3D change detection methods in point clouds. His academic journey reflects a strong interdisciplinary foundation in remote sensing, GIS, machine learning, and computer vision, particularly applied to natural disaster management and environmental systems. Dr. Marjani has contributed as a peer reviewer for high-impact journals such as IEEE Geoscience and Remote Sensing Letters, Theoretical and Applied Climatology, and Remote Sensing. Professionally, he serves as a Research Scientist at C-CORE, where he develops AI-driven environmental modeling algorithms using satellite data. Alongside his research, he has demonstrated academic leadership through multiple teaching assistantships, delivering courses in C++, MATLAB, and Python programming across topics such as computational intelligence and image processing. He is also a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence applications in geomatics and geospatial engineering. Dr. Marjani’s research interests encompass wildfire modeling, satellite image analysis, WebGIS, and GeoAI, reflecting his commitment to advancing the integration of artificial intelligence with geospatial sciences for sustainable environmental solutions.

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Featured Publications

  • Marjani, M., Ahmadi, S. A., & Mahdianpari, M. (2023). FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction. Ecological Informatics, 78, 102282.

  • Marjani, M., Mahdianpari, M., & Mohammadimanesh, F. (2024). CNN-BiLSTM: A Novel Deep Learning Model for Near­-Real-Time Daily Wildfire Spread Prediction. Remote Sensing, 16(8), 1467.

  • Marjani, M., & Mesgari, M. S. (2023). The large-scale wildfire spread prediction using a multi-kernel convolutional neural network. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 10(4/W1-2022), pp. 483-488.

  • Marjani, M., Mohammadimanesh, F., Varon, D. J., Radman, A., & Mahdianpari, M. (2024). PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data. ISPRS Journal of Photogrammetry and Remote Sensing, 218, 802-818.

  • Bahrami, H., McNairn, H., Mahdianpari, M., & Homayouni, S. (2022). A meta-analysis of remote sensing technologies and methodologies for crop characterization. Remote Sensing, 14(22), 5633.

Ammasi Periasamy | Engineering | Best Researcher Award

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Ammasi Periasamy | Engineering | Best Researcher Award

University of Virginia | United States

Dr. Periasamy is an internationally renowned scientist recognized for his groundbreaking contributions to the development of advanced optical microscopy techniques for imaging and analyzing single cells, tissues, and living organisms. His pioneering research focuses on designing and developing cutting-edge optical methodologies to study molecular interactions and cellular processes in real time. A major highlight of his recent work is the development of the Fluorescence Lifetime Redox Ratio (FLIRR), an innovative technique used to investigate cellular metabolism and mitochondrial dysfunction, with promising applications in the early detection of prostate cancer and its correlation with PSA levels. Widely regarded as one of the pioneers of fluorescence lifetime imaging microscopy (FLIM), Dr. Periasamy has made significant advances in monitoring calcium oscillations within living cells and developing 2- and 3-color confocal, multiphoton, and FLIM-based Förster resonance energy transfer (FRET) imaging systems for visualizing protein interactions in living specimens. His prolific scholarly output includes over 185 refereed journal publications, numerous book chapters, and proceedings, along with more than 200 invited lectures at national and international platforms. As a respected leader in his field, he has edited three books and serves as the series editor for the “Cellular and Clinical Imaging” book series, encompassing 11 volumes. Dr. Periasamy also plays a key role in the global microscopy community as the chairperson and organizer of the annual SPIE conference on Multiphoton Microscopy in the Biomedical Sciences since 2001 and conducts a highly regarded hands-on training workshop on FLIM, FRET, and metabolic imaging at the University of Virginia each year. In recognition of his outstanding scientific achievements and contributions to optical microscopy, he was elected a Fellow of the SPIE Optical Society in 2012.

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Featured Publications

Alam, S. R., Mahadevan, M. S., & Periasamy, A. (2023). Detecting RNA–Protein Interactions with EGFP-Cy3 FRET by Acceptor Photobleaching. Current Protocols, 3(2), e689.

Norambuena, A., Sun, X., Wallrabe, H., Cao, R., Sun, N., Pardo, E., Shivange, N., Wang, D. B., Post, L. A., Ferris, H. A., Hu, S., Periasamy, A., & Bloom, G. S. (2022). SOD1 mediates lysosome-to-mitochondria communication and its dysregulation by amyloid-β oligomers. Neurobiology of Disease, 169, Article 105737.

Zhang, J., Wallrabe, H., Siller, K., Mbogo, B., Cassidy, T., Alam, S. R., & Periasamy, A. (2025). Measuring metabolic changes in cancer cells using two-photon fluorescence lifetime imaging microscopy and machine-learning analysis. Journal of Biophotonics, 18, e202400426.

 Alam, S. R., Wallrabe, H., Christopher, K. G., Siller, K. H., & Periasamy, A. (2022). Characterization of mitochondrial dysfunction due to laser damage by 2-photon FLIM microscopy. Scientific Reports, 12, Article 11938.

Zhou, L., & El-Deiry, W. S. (2009). Multispectral fluorescence imaging. Journal of Nuclear Medicine, 50(10), 1563-1566.

Mohammad Ali Nasiri | Materials Science | Excellence in Citation Achievement Award

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Mohammad Ali Nasiri | Materials Science | Excellence in Citation Achievement Award

university of valencia -Instituto de Ciencia Molecular (ICMOL) | Spain

Dr. Mohammad Ali Nasiri is a distinguished researcher and innovator with expertise in micro- and nano-electronic device fabrication, cleanroom processing, and advanced materials characterization. With over five years of hands-on experience in cleanroom environments, he has mastered key fabrication techniques including thin-film deposition, electrical contact formation, dry etching, and photolithographic mask preparation, all of which are critical to the development of high-performance electronic and optoelectronic systems. His technical proficiency extends to a wide array of advanced characterization methods such as AFM, XRD, XPS, SEM, FESEM, FTIR, spectroscopic ellipsometry, and electrochemical analysis, enabling him to conduct precise evaluations of material properties and performance. Holding dual master’s degrees in Aeronautical Engineering and Nanomaterials Science, Dr. Nasiri integrates interdisciplinary expertise in thermodynamics, applied mathematics, and materials physics to address complex challenges in energy and electronic device research. He completed his PhD at the University of Valencia’s Institute of Molecular Science (ICMOL), where his research, titled “Advances in Hybrid Energy Devices: Integrating Thermoelectric Materials via Fabrication, Characterization, and Modeling,” focused on sustainable energy conversion through thermoelectric materials. His studies on metallic thin films, conductive polymer nanocomposites, and lignin-based membranes yielded significant advancements in thermoelectric efficiency and ionic transport understanding. Notably, he developed three innovative thermal conductivity measurement setups, demonstrating both engineering ingenuity and scientific depth. Currently a postdoctoral researcher at the Institute of Materials Science (ICMUV), University of Valencia, Dr. Nasiri is developing perovskite-based photodetectors for sensor and biomedical imaging applications. His work embodies the fusion of nanotechnology, materials innovation, and sustainability, contributing to the next generation of clean energy and optoelectronic technologies.

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Featured Publications

1. Nasiri, M. A., Cho, C., Culebras, M., & Cantarero, A. (2024). Back mirror-free selective light absorbers for thermoelectric applications. Advanced Optical Materials, 16(12), 2402079. https://doi.org/10.1002/adom.202402079

2. Nasiri, M. A., Cho, C., Culebras, M., & Cantarero, A. (2024). Ultrathin transparent nickel electrodes for thermoelectric applications. Advanced Materials Interfaces, 11(5), 2300705. https://doi.org/10.1002/admi.202300705

3. Muddasar, M., Nasiri, M. A., Cantarero, A., Gómez, C., Culebras, M., & Collins, M. N. (2024). Lignin-derived ionic conducting membranes for low-grade thermal energy harvesting. Advanced Functional Materials, 34(12), 2306427. https://doi.org/10.1002/adfm.202306427

4. Muddasar, M., Menéndez, N., Quero, Á., Nasiri, M. A., Cantarero, A., Gómez, C. M., Culebras, M., & Collins, M. N. (2024). Highly-efficient sustainable ionic thermoelectric materials using lignin-derived hydrogels. Advanced Composites and Hybrid Materials, 7(2), 47.

Leonid Zotov | Energy | Best Researcher Award

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Leonid Zotov | Energy | Best Researcher Award

Novosiibirsk State Technical Universiti, NSTU | Russia

Dr. Leonid Grigoryevich Zotov is a distinguished researcher and academic affiliated with Novosibirsk State Technical University, Novosibirsk, Russian Federation, he has made notable contributions to his field through impactful and methodologically rigorous research. Dr. Zotov’s academic endeavors span across several interdisciplinary areas, reflecting a strong focus on applied and theoretical aspects of engineering and technology. His research is characterized by a commitment to advancing scientific knowledge, developing innovative solutions, and contributing to the technological progress of Russia’s academic and industrial sectors. As a dedicated scholar, he has collaborated with multiple international and national co-authors, fostering cross-disciplinary partnerships that enhance the global visibility of his work. Throughout his career, Dr. Zotov has demonstrated a deep passion for education, mentoring, and the dissemination of scientific knowledge through conferences, journals, and institutional research programs. His association with Novosibirsk State Technical University underscores his active engagement in teaching, academic leadership, and research excellence. With a reputation for precision and innovation, Dr. Zotov continues to pursue research that bridges theoretical understanding with real-world application, contributing meaningfully to both academic scholarship and technological development.

Profile: Scoups 

Featured Publications

  • Zotov, L. G., & Bolshakov, I. M. (2024). Hydrogen fuel cell energy regulators based on boost DC–DC converters with switched capacitors. International Journal of Hydrogen Energy, 95, 18 December 2024.

  • Zotov, L. G., & Bolshakov, I. M. (2022). The 10 kW autonomous energy-efficient power supply system. In Proceedings of the 2022 IEEE International Multi Conference on Engineering, Computer and Information Sciences (Sibircon 2022). IEEE.

  • Zotov, L. G., & Bolshakov, I. M. (2022). Structural synthesis of capacitor DC–DC converters. In Proceedings of the International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM 2022) (June 2022). IEEE.

Xusheng Wan | Engineering | Best Researcher Award

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Xusheng Wan | Engineering | Best Researcher Award

Southwest Petroleum University | China

Wan Xusheng, from Jingning, Gansu Province, is a distinguished professor, assistant dean, and doctoral supervisor at the School of Civil Engineering and Surveying, Southwest Petroleum University. He earned his Ph.D. in geotechnical engineering from the University of Chinese Academy of Sciences and completed a postdoctoral fellowship at Sichuan University. Professor Wan has led three National Natural Science Foundation projects and over ten other provincial and key laboratory-funded research initiatives. His work has earned him significant recognition, including a first prize in the Gansu Provincial Science and Technology Progress Award and a second prize in the National Association Award. He has published over 100 academic papers, 56 of which are SCI-indexed, garnering more than 1,200 citations, and holds over 40 national patents and four software copyrights. He serves on the editorial boards of the ASCE Journal of Cold Regions Engineering and the Glacier and Permafrost Institute and reviews for more than 40 international and domestic journals. Professor Wan teaches undergraduate courses in Soil Mechanics and Advanced Soil Mechanics, and graduate courses including Geotechnical Engineering Testing and Construction Monitoring, having guided more than 60 undergraduate projects and trained numerous master’s students. He has contributed extensively to teaching reform, leading provincial- and university-level projects, co-editing a graduate textbook, and publishing multiple educational reform papers. His students have achieved national and regional awards under his mentorship. Actively involved in professional organizations, he serves on committees related to cold regions engineering, geosciences, and civil engineering education, and is committed to advancing research, innovation, and talent cultivation in geotechnical engineering, particularly in cold and arid regions.

Profile: Scoups 

Featured Publications

  • Wan, X., Lai, Y., & Wang, C. (2015). Experimental study on the freezing temperatures of saline silty soils. Permafrost and Periglacial Processes, 26(2), 175–187.

  • Wan, X., You, Z., Wen, H., & Crossley, W. (2017). An experimental study of salt expansion in sodium saline soils under transient conditions. Journal of Arid Land, 9(6), 865–878.

  • Wan, X., Gong, F., Mengfei, [et al.]. (2019). Experimental study of the salt transfer in a cold sodium sulfate soil. KSCE Journal of Civil Engineering, 23(4), 1573–1585.

  • Wan, X., & Yang, Z. (2020). Pore water freezing characteristic in saline soils based on pore size distribution. Cold Regions Science and Technology, 173, 103030.

  • Wan, X., Zhong, C., Mohamed, H. S., Qiu, E., & Qu, M. (2020). Study on the thermal conductivity model of sodium sulfate soils. Experimental Heat Transfer.

  • Wan, X., Liu, E., & Qiu, E. (2021). Study on ice nucleation temperature and water freezing in saline soils. Permafrost and Periglacial Processes, 32(1), 119–138.

Mohamed Taieb Krakdia | Engineering | Best Researcher Award

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Mohamed Taieb Krakdia | Engineering | Best Researcher Award

University of Gabes | Tunisia

Mr. Mohamed Taieb Krakdia is a distinguished Tunisian academic and educator with a long and impactful career in the Ministry of Education, where he has served in various capacities, including Distinguished Senior Professor of Exceptional Degree, Senior Professor Emeritus of Secondary Education, and Senior Secondary School Teacher in Sidi Bouzid. Beginning his teaching career after earning the CAPES diploma, he has dedicated more than two decades to shaping the educational landscape in Tunisia while also pursuing advanced research in renewable energy and electrical engineering. He holds a Professional Master’s Degree in Renewable Energies and Energy Efficiency from ISET Sidi Bouzid, an Engineering Master’s Degree in Electrical Engineering from Université Elhadj Lakhder in Algeria, and is currently engaged in doctoral studies at ENIG Tunisia, focusing on the optimization of renewable energy resources in microgrids. His research interests revolve around integrating renewable energy sources such as photovoltaic systems, wind power, and solid oxide fuel cells into advanced microgrid structures with efficient energy storage and control strategies. He has contributed to the academic literature with publications including “Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell, and Battery Storage” and “Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer), and Three-Phase Four-Leg Inverter.” Alongside his academic pursuits, he is proficient in a range of technical and simulation tools such as MATLAB, Autocad, C/C++, and microcontroller programming, underscoring his commitment to both theoretical advancement and practical innovation in renewable energy systems.

Profile: Orcid

Featured Publications

  • Krakdia, M. T., & Sbita, L. (2024). Sliding-mode and Lyapunov function based control for a DC microgrid with renewable generation, a solid oxide fuel cell and battery storage. In Advances in Renewable Energy and Power Systems  Springer.

  • Krakdia, M. T., & Sbita, L. (2025). Control for a DC microgrid for photovoltaic–wind generation with a solid oxide fuel cell, battery storage, dump load (aqua-electrolyzer) and three-phase four-leg inverter (4L4W). Clean Technologies, 7(3), 79.

Huaiyi Guan | Engineering | Best Researcher Award

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Huaiyi Guan | Engineering | Best Researcher Award

Naval University of Engineering | China

Huaiyi Guan is an engineer and doctoral candidate at the Naval University of Engineering, specializing in Navigation, Guidance, and Control (GNC). His research primarily focuses on signal processing challenges within satellite navigation systems, with a particular emphasis on the BeiDou Radio Determination Satellite Service (RDSS). Guan’s innovative contributions involve high-fidelity modeling of RDSS uplink signals to address adjacent-channel interference issues with other Global Navigation Satellite Systems (GNSS). By developing novel suppression algorithms, his work strengthens the reliability of multi-system integrated navigation, ensuring robust performance in complex electromagnetic environments. His research holds significant relevance for high-integrity autonomous systems, including autonomous vehicles and unmanned aerial vehicles (UAVs), which rely on precise and secure navigation solutions. Dedicated to advancing navigation science, Guan continues to contribute insights into GNSS signal integrity, geomagnetic disturbance impacts, and the future of resilient satellite-based navigation systems that support critical operations in aerospace and maritime domains.

Publication Profile

Orcid

Education

Huaiyi Guan is currently pursuing his doctoral degree in Navigation, Guidance, and Control (GNC) at the Naval University of Engineering, China. His doctoral research emphasizes satellite signal processing, focusing on the BeiDou Radio Determination Satellite Service (RDSS) and its integration with other Global Navigation Satellite Systems (GNSS). Guan’s academic journey has been shaped by his strong foundation in engineering and applied sciences, with a particular inclination toward advanced communication systems, navigation technologies, and signal modeling. His graduate-level research involves creating high-fidelity signal models that address electromagnetic interference, thereby contributing to the global advancement of navigation reliability and system integrity. Through his academic training, he has gained expertise in electromagnetic compatibility, multi-system GNSS integration, and applied algorithm development. Guan’s doctoral education reflects a commitment to both theoretical research and practical application, aiming to bridge the gap between navigation science and real-world demands of resilient autonomous and defense systems.

Experience

As an engineer and doctoral researcher at the Naval University of Engineering, Huaiyi Guan has cultivated expertise in satellite navigation, signal processing, and multi-system integration. His experience lies in analyzing the unique challenges of the BeiDou RDSS two-way active architecture, focusing on its signal compatibility and interference with other GNSS constellations. Guan has developed suppression algorithms to mitigate adjacent-channel interference, thereby improving the performance of integrated navigation systems in complex electromagnetic environments. His practical research experience includes studying the influence of geomagnetic disturbances on GNSS-based navigation and evaluating overseas maritime search and rescue system development. While his career is at an early stage, his applied research skills demonstrate the potential for impactful contributions to both academia and industry. Guan’s background highlights an ability to combine theoretical modeling with real-world problem-solving, supporting the development of autonomous platforms such as UAVs, ships, and vehicles that require reliable navigation integrity.

Honors and Awards

Currently in the early stages of his academic career, Huaiyi Guan has not yet received formal awards or honors; however, his doctoral research has already positioned him as a promising contributor in the field of navigation and signal processing. His work on RDSS interference modeling and suppression algorithms directly addresses global challenges in ensuring GNSS compatibility and integrity, a contribution that aligns with international priorities in aerospace and autonomous technologies. Guan’s studies on geomagnetic disturbances and their impact on GNSS navigation systems further reflect his innovative research trajectory, showing promise for recognition in the near future. While formal accolades may not yet be listed, his ongoing contributions represent the foundation for future distinctions in engineering research. His dedication to advancing high-integrity navigation solutions for critical platforms underscores his potential to achieve significant honors in both scientific and technological innovation within his specialized field.

Research Focus

Huaiyi Guan’s research focus lies at the intersection of satellite navigation, signal processing, and system integrity. His primary work addresses the BeiDou Radio Determination Satellite Service (RDSS), a unique two-way active navigation system, and its compatibility with other Global Navigation Satellite Systems (GNSS). He has developed high-fidelity models of RDSS uplink signals to quantify adjacent-channel interference and designed novel suppression algorithms to reduce signal degradation. This research enhances the robustness of multi-system integrated navigation, especially in challenging electromagnetic environments. Guan also investigates the impact of geomagnetic disturbances on GNSS positioning systems, aiming to improve resilience against natural space-weather effects. His research contributes to ensuring reliable navigation for high-integrity autonomous systems such as UAVs, autonomous vehicles, and maritime applications. By advancing both theoretical modeling and applied algorithm development, Guan plays a key role in shaping the next generation of secure, interference-resistant global navigation technologies.

Publications

  • Assessing the Influence of Geomagnetic Disturbances on GNSS Navigation and Positioning Systems

  • Analysis of the Current Development Status of Overseas Maritime Search and Rescue Systems

Conclusion

In conclusion, Huaiyi Guan exemplifies the qualities of a dedicated and innovative researcher in the field of Navigation, Guidance, and Control. His pioneering work on signal compatibility, interference suppression, and geomagnetic disturbance analysis demonstrates both technical depth and practical relevance, particularly in strengthening the integrity of satellite-based navigation systems. Although at an early stage of his career, his doctoral research already addresses globally significant challenges, offering solutions that support the reliability of autonomous systems and critical navigation infrastructures. With a strong foundation in engineering, a clear research vision, and the potential for impactful contributions, Huaiyi Guan is a deserving candidate for recognition under the Research Award category.