Longfei Yue | AI Advancements | Best Researcher Award

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Dr. Longfei Yue | AI Advancements | Best Researcher Award

Dr. Longfei Yue | NUE | China

Longfei Yue is an influential researcher in the fields of unmanned aerial vehicles (UAVs), reinforcement learning, multi-agent systems, and intelligent autonomous control. His work focuses on advancing next-generation autonomous flight technologies, with major contributions to cooperative decision-making, swarm intelligence, guidance laws, and mission-planning strategies for aerial and aerospace systems. He has produced an extensive body of work, reflected through a strong publication record and impactful citation metrics. His research outputs include dozens of journal articles and conference papers, spanning high-quality platforms such as international aeronautical and aerospace journals, IEEE publications, machine learning proceedings, and multidisciplinary scientific journals. His citation 300, H-index 11, and 286 publication data highlight the growing influence and visibility of his contributions in the global research community. Yue’s research emphasizes cutting-edge reinforcement learning approaches such as hierarchical learning, multi-agent reinforcement learning, soft actor-critic frameworks, and constrained learning techniques. These methods are applied to challenging aerospace scenarios including exoatmospheric evasion, missile guidance, cooperative multi-target tracking, aerial confrontation strategies, dual-UAV reconnaissance, and intelligent route planning for UAV swarms. His studies integrate autonomy, control theory, optimization, and machine learning to develop efficient, safe, and robust decision-making mechanisms for complex flight environments. His work also extends to the development of unsupervised learning techniques for grouping aerial swarms and dynamic policy learning for combat maneuvering. Many of his publications have received substantial citations, demonstrating wide academic and practical relevance. Beyond UAVs, Yue has collaborated on interdisciplinary studies in applied sciences, psychology, medical engineering, and data-driven modeling, further broadening his research impact. Overall, Longfei Yue’s research significantly advances autonomous aerial systems, cooperative robotics, and intelligent control engineering. His contributions play a pivotal role in shaping the future of UAV autonomy, multi-agent intelligence, and high-level aerospace decision-making technologies.

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Featured Publications

Collaborative energy-saving path planning of unmanned surface vehicle cluster based on multi-head attention mechanism and multi-agent deep reinforcement learning. (2025). Engineering Applications of Artificial Intelligence.

 CAP planning method based on elliptic fitting of optimal detection routes. (2025). Beijing Hangkong Hangtian Daxue Xuebao (Journal of Beijing University of Aeronautics and Astronautics).

Exoatmospheric evasion guidance law with total energy limit via constrained reinforcement learning. (2024). International Journal of Aeronautical and Space Sciences.

Fahad Sabei | Nanotechnology Innovations | Best Researcher Award

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Assoc. Prof. Dr. Fahad Sabei | Nanotechnology Innovations | Best Researcher Award

Assoc. Prof. Dr. Fahad Sabei | Jazan universe | Saudi Arabia

Dr. Fahad Y. Sabei is a distinguished academic and researcher serving as an Associate Professor at the College of Pharmacy, Jazan University, Saudi Arabia. With advanced training in pharmaceutical sciences from renowned institutions in the United States and Saudi Arabia, he has built a strong interdisciplinary background spanning molecular biology, drug formulation, and nanotechnology-focused cancer therapeutics. Dr. Sabei’s expertise centers on the design and development of polymeric nanoparticles for both imaging and targeted treatment applications. His work integrates cutting-edge molecular techniques with innovative drug-delivery systems, contributing to advancements in cancer diagnosis and therapy. He is proficient in a wide spectrum of laboratory and research methodologies, including PCR, qPCR, RNA extraction, cell culture, and animal cancer models, complemented by experience with imaging tools such as ultrasound, photoacoustic systems, and Pearl imaging platforms. His technical capabilities are supported by strong data analysis and visualization skills using software such as GraphPad Prism and ChemBioDraw. At Jazan University, Dr. Sabei plays a key role in academic development, student mentoring, and research supervision. He has been an active contributor to institutional committees, including academic affairs, performance indicators, quality initiatives, community service, SPLE committee activities, and ward committee responsibilities. His leadership extends beyond teaching, encompassing student support, program enhancement, and strengthening research culture within the college. Dr. Sabei has participated in prominent scientific conferences and professional forums across the Middle East and the United States, presenting research in pharmaceutical sciences, nanomedicine, and drug-delivery innovations. His work has also been supported by multiple stages of institutional research funding, reflecting the significance and impact of his contributions. With a commitment to scientific innovation, health advancement, and community engagement, Dr. Fahad Y. Sabei continues to influence the future of pharmaceutical sciences and contribute meaningfully to the progression of medical research in Saudi Arabia and beyond.

Profile: Orcid

Featured Publications

Bakkari, M. A., Ghoal, G., Sabei, F. Y., Safhi, A. Y., & Moni, S. S. (2025). Exploring Interleukin-6 inhibitor antibodies in combatting SARS-CoV-2 and its mutated variants: Challenges and future directions. Journal of Pharmacology and Pharmacotherapeutics. https://doi.org/10.1177/0976500X251316939

Fatima, I., Safhi, A. Y., Alsalhi, A., Hanbashi, A., Jali, A., Alsabei, H. M., Alshabrmi, F. M., & Sabei, F. Y. (2025). Identification and validation of key covalent inhibitors targeting lung cancer proteins through integrated in silico analysis. Biochemical and Biophysical Research Communications. https://doi.org/10.1016/j.bbrc.2025.152973

Madkhali, O. A., Moni, S. S., Almoshari, Y., Sabei, F. Y., & Safhi, A. Y. (2025). Dual role of CXCL10 in cancer progression: Implications for immunotherapy and targeted treatment. Cancer Biology & Therapy. https://doi.org/10.1080/15384047.2025.2538962

Akhtar, S., Shafeeq, S., Siddique, A. B., Sabei, F. Y., Safhi, A. Y., Ullah, S., Abbas, A., Hanbashi, A., Alshahi, H., Jali, A. M., et al. (2025). Facile synthesis of bimetallic Ag-Fe core–shell nanoparticles for the selective and efficient dehydrogenation of formic acid. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2025.236919

Zoghebi, K., Sabei, F. Y., & Safhi, A. Y. (2024). Exploring the anti-cancer properties of Carissa carandas as a multi-targeted approach against breast cancer. Journal of Biomolecular Structure and Dynamics. https://doi.org/10.1080/07391102.2024.2437548

Shakir, R., Hanif, S., Salawi, A., Arshad, R., Sarfraz, R. M., Irfan, M., Raza, S. A., Barkat, K., Sabei, F. Y., Almoshari, Y., et al. (2024). Correction: Shakir et al. Exorbitant drug loading of metformin and sitagliptin in mucoadhesive buccal tablet: In vitro and in vivo characterization in healthy volunteers (2022). Pharmaceuticals. https://doi.org/10.3390/ph17050556

Shreedhar Sahoo | Emerging Technologies | Best Researcher Award

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Mr. Shreedhar Sahoo | Emerging Technologies | Best Researcher Award

Mr. Shreedhar Sahoo | Indian Institute of Technology Kharagpur | India

Shreedhar Sahoo is a Prime Minister’s Research Fellow (PMRF) and Ph.D. candidate in Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in rail–wheel interaction, traction, and slip dynamics. His doctoral research focuses on the investigation of traction and slip at the rail–wheel contact using wheel tread temperature monitoring, contributing to improved safety, efficiency, and predictive maintenance in railway systems. He holds a Dual Degree (B.Tech + M.Tech) in Mechanical Engineering from IIT Kharagpur with an excellent CGPA of 9.26/10. His academic foundation spans advanced mechanical engineering, railway vehicle dynamics, finite element methods, vibration analysis, thermodynamics, and applied mathematics. His M.Tech project involved the active control of functionally graded shells using piezoelectric fiber-reinforced composites, while his B.Tech project explored personality trait prediction from Twitter data using SVM, achieving an accuracy of 80.1%. Shreedhar has completed two technical internships at Transenigma, Kolkata, where he worked on automation in motion graphics and 3D human-prototype modeling using Adobe and Autodesk Maya platforms. He has also obtained OCA Java certification with a 91% score and participated in specialized workshops, including SIMPACK training on railway vehicle dynamics. His research work has led to publications in reputed journals such as the Journal of Rail and Rapid Transit and Tribology International. He has presented at major conferences, including the 4th International Conference on Friction-based Processes, where he won the 2nd prize for oral presentation in 2025. He is also a co-inventor of a provisional patent on room-temperature deposition of nanoparticle-based coatings. Alongside technical expertise, he has served as a student coordinator for courses on text analytics and modeling tools. Overall, Shreedhar Sahoo’s academic excellence, research contributions, and interdisciplinary skills highlight his strong potential as a researcher and innovation-driven engineer in rail transport and tribology.

Profile: Scopus

Featured Publications

Sahoo, S., Kushan, D. S., Ronith, G. S. P. J., & Racherla, V. (2026). Nano-scale friction modifier coatings: Application methodology, friction characteristics, and surrogate models. Tribology International, Article 111429. https://doi.org/10.1016/j.triboint.2025.111429

Lian-Wang Guo | Innovation Impact | Best Researcher Award

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Dr. Lian-Wang Guo | Innovation Impact | Best Researcher Award

Dr. Lian-Wang Guo | University of Virginia | United States

The Guo Lab at the University of Virginia investigates the fundamental and translational biology of vascular wall remodeling and retinal degeneration, with a central focus on how epigenetic mechanisms drive pathological cell-state transitions. Specifically, the group studies the roles of histone-code “readers” and “writers” in orchestrating chromatin dynamics that contribute to disease progression. By dissecting how these epigenetic regulators influence cellular phenotypes, the lab seeks to identify novel therapeutic targets capable of preventing or reversing harmful remodeling processes. A major emphasis of the lab’s work is bridging mechanistic discoveries with translational innovation. Their research pipeline spans from uncovering basic molecular dysfunctions to engineering practical therapeutic interventions. For instance, the Guo Lab investigates the epigenetic underpinnings of vascular wall thickening and stenosis following surgical procedures such as vein grafting and angioplasty. These studies illuminate how chromatin dysregulation contributes to post-surgical complications and guides the development of targeted therapeutic strategies. In parallel, the lab collaborates with surgeons and bioengineers to design precision delivery systems for chromatin-modulating “epi-drugs.” One pioneering approach involves the creation of bio-adhesive nanoparticles engineered to be “painted” directly onto vein grafts, aiming to preserve long-term graft patency. Another strategy focuses on combating restenosis after angioplasty by developing injectable biomembrane-camouflaged carriers capable of homing in on vascular lesions. These cutting-edge delivery systems enhance therapeutic specificity and minimize off-target effects, accelerating the translation of epigenetic therapies into clinically viable solutions. The lab’s innovative research direction has resulted in multiple approved and pending patents, demonstrating its impact at both scientific and translational fronts. Ultimately, the Guo Lab strives to solve critical medical challenges by targeting dysregulated epigenetic mechanisms and ensuring a seamless continuum from mechanistic discovery to therapeutic application.

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Featured Publications

Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., … (2021). Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy, 17(1), 1–382.

Kumar, A., D’Souza, S. S., Moskvin, O. V., Toh, H., Wang, B., Zhang, J., Swanson, S., … (2017). Specification and diversification of pericytes and smooth muscle cells from mesenchymoangioblasts. Cell Reports, 19(9), 1902–1916.

Yu, Q., Wang, B., Chen, Z., Urabe, G., Glover, M. S., Shi, X., Guo, L.-W., Kent, K. C., & Li, L. (2017). Electron-transfer/higher-energy collision dissociation (EThcD)-enabled intact glycopeptide/glycoproteome characterization. Journal of the American Society for Mass Spectrometry, 28(9), 1751–1764.

Borck, P. C., Guo, L.-W., & Plutzky, J. (2020). BET epigenetic reader proteins in cardiovascular transcriptional programs. Circulation Research, 126(9), 1190–1208.

Goel, S. A., Guo, L.-W., Liu, B., & Kent, K. C. (2012). Mechanisms of post-intervention arterial remodelling. Cardiovascular Research, 96(3), 363–371.

Zent, J., & Guo, L.-W. (2018). Signaling mechanisms of myofibroblastic activation: Outside-in and inside-out. Cellular Physiology and Biochemistry, 49(3), 848–868.

DiRenzo, D. M., Chaudhary, M. A., Shi, X., Franco, S. R., Zent, J., Wang, K., Guo, L.-W., … (2016). A crosstalk between TGF-β/Smad3 and Wnt/β-catenin pathways promotes vascular smooth muscle cell proliferation. Cellular Signalling, 28(5), 498–505.

Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

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Mr. Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

Mr. Getahun Ayele Tessema | Indian Institute of Technology Roorkee (IITR) | India

Getahun Ayele Tessema is an emerging researcher and PhD Candidate at the Indian Institute of Technology Roorkee (IITR), specializing in energy efficiency and sustainable built environments. He holds a B.Tech and Master’s degree with distinction and previously served as a Lecturer at Adama Science and Technology University, where he earned the Best Teacher Award for his academic excellence. Currently supported by the prestigious ICCR Africa PhD Scholarship from the Government of India, he continues to advance impactful research in the Built Environment Lab at IIT Roorkee. His academic and professional journey reflects consistent excellence, with active engagement in research, teaching, and community-oriented scientific contributions. He has completed or is working on five research projects, published two journal papers, and maintains a growing citation record accessible through Google Scholar. His collaborative work spans international and institutional partnerships, and he holds memberships in two professional organizations aligned with his research areas. Getahun’s research focuses on energy-efficient buildings, energy modelling, energy-use behaviour, and energy analysis. His contributions offer significant insights into the determinants of household energy-saving behaviour in Ethiopian urban settings. By integrating personal norms with the Theory of Planned Behaviour, he has developed a comprehensive framework that helps understand and influence energy-conscious behaviour. This work supports the development of national energy conservation strategies and provides a scientific basis for formulating building energy codes—an urgent need for sustainable urban growth in Ethiopia. His findings aim to guide policymakers, enhance occupant awareness, and contribute to cleaner energy access through practical, community-responsive solutions. Through his multidisciplinary research, academic leadership, and commitment to sustainable development, Getahun exemplifies innovation, scholarly excellence, and societal impact. His work aligns strongly with the vision of promoting energy-efficient built environments and positions him as a strong candidate for the Best Researcher Award.

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Featured Publications

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Analysis of residential electricity consumption in Ethiopian condominiums: Leveraging cluster analysis for targeted electrification interventions. In 2025 IEEE 13th International Conference on Smart Energy Grid Engineering (SEGE). IEEE.

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Modelling energy-saving behaviour in Ethiopian urban households: Integrating personal norms and demographic moderators to the theory of planned behaviour. Energy and Buildings, —, 116709.

Noboru Konda | Material Science | Best Researcher Award

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Prof. Dr. Noboru Konda | Material Science | Best Researcher Award

Prof. Dr. Noboru Konda | Ryukoku University | Japan

Prof. Noboru Konda is a distinguished materials science expert whose career spans academia, advanced engineering, and applied industrial research. Trained at Kyoto University and later awarded a doctorate from Osaka University, he established a strong foundation in metallurgical engineering early in his career. His professional journey began in the steel industry, where he contributed to the structural assessment and performance evaluation of thick steel plates. This experience deepened his understanding of material behavior under demanding conditions and guided his ongoing commitment to developing stronger and more reliable materials. Prof. Konda has made significant contributions to the study of fatigue crack growth, particularly in base materials and welded joints. His work explores how materials behave in both normal and corrosive environments, and he has successfully identified structural characteristics that enhance durability and resistance to failure. His research approach combines experimental investigations with advanced evaluation techniques, offering valuable insights for industries that rely on the long-term stability of metals and other structural components. At Ryukoku University, Prof. Konda continues to expand his research by investigating the strength, soundness, and degradation mechanisms of a broad range of materials, including metals, resin composites, wood, and rubber. His interdisciplinary focus addresses real-world challenges encountered in manufacturing, infrastructure, and product development. Beyond research, he actively mentors students, engages in collaborative projects, and contributes to the academic community through publications, expert reviews, and knowledge-sharing activities. His academic and industrial background allows him to bridge scientific innovation with practical application. With a career dedicated to understanding and improving material performance, Prof. Konda remains committed to advancing safe, efficient, and reliable engineering solutions. His work continues to support scientific progress, industrial development, and the broader field of materials engineering.

Profile: Scopus

Featured Publications

Konda, N., & Kayamori, Y. (2025). Fatigue properties of welded structural steels initiated from long-term corroded surfaces. Solid State Phenomena, Trans Tech Publications

Konda, N., Mori, M., Shindoh, Y., & Kitamura, T. (2025). Fatigue strength evaluation of linear friction welded joints for S55C steel plates. Welding International. Taylor & Francis.

Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

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Assoc. Prof. Dr. Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

This research portfolio centers on advancing space thermal control and cryogenic refrigeration technologies, with significant emphasis on precision temperature management, lightweight system design, and enhanced performance for scientific payloads in orbit. The work covers key technological domains such as flexible heat transfer, thermal matching for low-temperature devices, insulation support structures, contamination control, and integrated thermal–mechanical engineering for spacecraft. A major focus of the research involves developing high-precision low-temperature control systems for space missions, enabling stable operation of sensitive optical payloads in complex orbital environments. Through comprehensive mastery of mechanics, thermodynamics, electromagnetics, and automated temperature regulation, several critical engineering challenges were overcome. These include improving temperature stability, reducing micro-vibration output, and optimizing thermal interfaces for high-performance detection instruments. The resulting technologies enhanced the scientific capabilities of spaceborne payloads and earned recognition from international experts in spacecraft engineering. Another central contribution lies in the development of lightweight pulse tube cryocoolers for space applications. Under major scientific and engineering programs, extensive basic and applied studies were conducted to design and optimize compact refrigeration systems. A series of prototypes was successfully built, achieving significant reductions in mass while preserving cooling capacity, operational lifespan, and structural robustness. These innovations contribute to next-generation spacecraft refrigeration solutions, supporting advanced astronomical observations and deep-space scientific missions. The research integrates theoretical modeling, high-frequency performance analysis, experimental verification, and system-level optimization. Publications include studies on coaxial and single-stage pulse tube cryocoolers, micro-scale units capable of reaching extremely low temperatures, inertance tube phase-shifting characteristics, multi-cold-finger systems, and thermo-mechanical behavior of cryogenic components. The work has appeared in leading scientific journals and international conferences covering thermal engineering, cryogenics, refrigeration science, and astronomical instrumentation. Collectively, these contributions advance cutting-edge cryogenic and thermal control technologies essential to modern space science, supporting higher-accuracy payloads, more efficient cooling solutions, and improved performance of future spacecraft systems.

Profile: Scopus

Featured Publications

Liu, C., Tian, B., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Experimental investigation of a single-stage micro pulse tube cryocooler operating at 59 Hz with liquid nitrogen precooling: Achieving 14.8 K under 5 W input power. International Journal of Refrigeration.

Tian, B., Liu, C., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Investigation on a micro pulse tube cryocooler operating at 152 Hz. Cryogenics.

Yuxuan Zhu | Chemical Engineering | Best Researcher Award

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Mr. Yuxuan Zhu | Chemical Engineering | Best Researcher Award

Mr. Yuxuan Zhu | The Institute of Seawater Desalination and Multipurpose Utilization | China

Zhu Yuxuan is a dedicated early-career researcher specializing in electrocatalytic membrane water treatment, nano-carbon membrane engineering, and advanced materials for environmental purification. Currently a PhD candidate in Materials Chemistry at Tiangong University, a Double First-Class institution, she has built strong interdisciplinary expertise through studies spanning electrocatalysis, membrane science, wastewater treatment, and chemical engineering principles. She previously earned her master’s and bachelor’s degrees in Materials Science and Engineering from Shandong Jianzhu University, where she developed foundational skills in materials characterization, nanomaterials, and electrochemical functional materials. Zhu has made significant scholarly contributions with 9 research publications, achieving measurable academic impact with 38 citations from 26 citing documents and an h-index of 4. Many of her works are published as first author in high-ranking JCR Q1 TOP journals such as Chemical Engineering Journal, Separation and Purification Technology, and Journal of Environmental Chemical Engineering. Her research focuses on developing nano-conductive carbon membranes, transition-metal-sulfide composite electrodes, and electrocatalytically enhanced membrane separation systems for industrial wastewater treatment. She has also contributed to major national scientific initiatives, including the National Key R&D Program and the Jiangxi Provincial Key R&D Program, where she played central roles in method development, team coordination, and project reporting. Her innovation capacity is reflected in five authorized patents, spanning porous carbon composite materials, electrode technologies, and laboratory device designs. She has earned multiple honors, including the Excellent Report Award at the Beijing-Tianjin-Hebei Membrane Forum, university scholarships, and several provincial awards in innovation competitions. Technically, Zhu is proficient in SEM, Raman, IR, LC-MS, UV-Vis, electrochemistry, molecular dynamics, and MS simulation. As a student leader—serving as Chairman of the Student Union—she has demonstrated strong organizational and communication skills.

Profile: Orcid | Scopus

Featured Publications

Zhu, Y., Wu, Y., Zhao, H., Wang, H., Lei, H., & Zhong, Y. (2026). Mediation of superoxide radicals enhances the efficient degradation of dimethylacetamide in continuous flow-through three-dimensional electrochemical membrane reactor. Separation and Purification Technology, 506, 135619. https://doi.org/10.1016/j.seppur.2025.135619

Wang, Y., Chen, Z., Zhu, Y., Wang, H., Cui, Z., Li, X., Mo, J., & Li, J. (2025). An ultrathin Al2O3 ceramic membrane prepared by organic-inorganic blending with solvent evaporation and high-temperature sintering for highly efficient oil/water separation. Journal of Water Process Engineering, 107116. https://doi.org/10.1016/j.jwpe.2025.107116

Wang, Y., Zhu, Y., Wang, H., Chen, Z., He, B., & Li, J. (2025). Conductive carbon/Al2O3 mixed-matrix membrane cathode for efficient electrocatalytic production of H2O2. Separation and Purification Technology, 134120. https://doi.org/10.1016/j.seppur.2025.134120

Zhu, Y., Chen, Z., Wang, H., Ma, A., & Li, J. (2025). Continuous flow-through electro-Fenton membrane reactor with Fe−N4-doped carbon membrane as cathode for efficient removal of dimethylacetamide. Separation and Purification Technology, 354, 129290. https://doi.org/10.1016/j.seppur.2024.129290

Chen, Z., Wang, H., Zhu, Y., Chen, X., Gui, S., Ma, A., & Li, J. (2025). Electrochemical reactor with carbon membrane electrodes for efficient phenol removal via anode and cathode synergism. npj Clean Water, 8, Article 43. https://doi.org/10.1038/s41545-024-00432-4

Zhu, Y., Feng, Y., Wang, H., & Li, J. (2025). Fabrication of nitrogen-doped conductive carbon membranes both as anode for degradation of phenol and as cathode for electro-synthesis of hydrogen peroxide in flow-through electrochemical membrane reactor. Separation and Purification Technology, 359, 130586. https://doi.org/10.1016/j.seppur.2024.130586

Huan Wang | Smart Manufacturing | Best Researcher Award

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Dr. Huan Wang | Smart Manufacturing | Best Researcher Award

Dr. Huan Wang | sun yat-sen university | China

Huan Wang is a dedicated researcher currently pursuing a Ph.D. at the School of Advanced Manufacturing, Sun Yat-sen University, building upon a strong academic foundation established during his master’s studies in aerospace engineering at the same institution. His research focuses on advancing sensor technology through innovative approaches in temperature compensation, fault diagnosis, and the reliability assessment of pressure scanners—key components in precision measurement and industrial instrumentation. Over the years, he has contributed significantly to national and industry-driven scientific efforts, including participation in one National Key R&D Program, one National Natural Science Foundation project, and three important commissioned projects involving electronic pressure scanning valves. His expertise extends to instrumentation and measurement consultancy, allowing him to bridge academic research with practical engineering applications. Dr. Wang’s scholarly output includes more than eight peer-reviewed research articles, several of which he authored as first author in highly regarded SCI-indexed journals such as Measurement, Measurement Science and Technology, Micromachines, Instrumentation Science and Technology, and Metrology and Measurement Systems. His research demonstrates a strong commitment to integrating intelligent optimization algorithms with sensor systems to improve accuracy, stability, and reliability in real-world applications. Alongside his research achievements, he is a professional member of AAAS and IEEE, showcasing his active engagement with the global scientific community. Through his interdisciplinary skills, academic rigor, and industry collaborations, Huan Wang continues to make meaningful contributions to the fields of sensor technology, advanced manufacturing, and applied measurement science. His growing body of work reflects not only technical depth but also a forward-looking approach aimed at enhancing next-generation intelligent measurement systems. With a strong commitment to innovation, integrity, and scientific excellence, he stands out as a promising researcher who significantly contributes to the advancement of engineering research and instrumentation technologies.

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Featured Publications

Wang, H., Chen, X., Xia, J., Zhao, H., & Maddaiah, P. N. (2026). Newton-Raphson-based optimizer combined with LSSVM: Temperature compensation applied to small-range electronic pressure scanners. Flow Measurement and Instrumentation. https://doi.org/10.1016/j.flowmeasinst.2025.103127

Wang, H., Chen, X., Xia, J., Liu, P., & Zhao, H. (2025). A novel model fusing ALA and integrated learning: Temperature compensation for 700 kPa pressure scanners. International Journal of Thermophysics. https://doi.org/10.1007/s10765-025-03638-x

Wang, H. (2025). Hybrid mechanism and data driven approach for high-precision modeling of gas flow regulation systems of VFDR. Journal article. https://doi.org/10.1007/s40747-025-01899-5

Wang, H., Wu, T., Liu, P., Zou, Y., & Zeng, Q. (2025). Kernel extreme learning machine combined with gray wolf optimization for temperature compensation in pressure sensors. Metrology and Measurement Systems. https://doi.org/10.24425/mms.2025.152773

Wu, T., Wang, H., Huang, Z., & Maddaiah, P. N. (2025). Optimal tracking differentiator algorithm for accurate pressure scanner measurements. Instrumentation Science and Technology. https://doi.org/10.1080/10739149.2025.2556107

Liu, C., Wang, H., Zhu, H., Zhou, W., & Zhao, H. (2025). Optimized design of support points in solar panels based on thermal deformation analysis. Journal of Physics: Conference Series, 3039(1), 012004. https://doi.org/10.1088/1742-6596/3039/1/012004

Prof. Dr. Zhifei Li | Environmental Science | Best Researcher Award | 2605

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Prof. Dr. Zhifei Li | Environmental Science | Best Researcher Award

Prof. Dr. Zhifei Li | Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou | China

Zhifei Li is a distinguished researcher known for advancing aquaculture science, environmental engineering, and sustainable fisheries. His work spans freshwater pond healthy aquaculture, industrial recirculating aquaculture systems, ecological treatment of aquaculture tailwater, and large-water-area ecological fisheries. He has taken on significant scientific and advisory responsibilities within research institutions, engineering technology centers, and regional environmental governance bodies. His contributions are recognized through leadership roles in aquaculture pollution remediation, rural science and technology service, and expert consultation for large-scale aquaculture improvement initiatives. Zhifei Li has led numerous national and provincial research programs, including foundational research projects, key R&D initiatives, and regional technological innovation schemes. He has also collaborated on multiple multidisciplinary projects involving biofilm regulation, quorum sensing mechanisms, engineered bacteria, and low-temperature wastewater treatment systems for aquaculture. His research emphasizes practical and scalable solutions for improving water quality, enhancing aquaculture system efficiency, and promoting ecological fisheries development. Scientifically, his contributions are well-documented. He has authored 120 research documents, accumulating 1,756 citations from 1,362 citing documents, and holds an h-index of 23, reflecting strong academic influence. His publication record includes articles in recognized international journals, as well as contributions to several academic books. His innovation output features multiple authorized invention patents, software copyrights, and ongoing patented technologies with domestic and international relevance. Zhifei Li is also active in consultancy and industry-linked projects, providing technical solutions to aquaculture enterprises and environmental management programs. His collaborations extend to engineered microbial systems for wastewater treatment and biofilm regulation. Professionally, he serves in important roles within committees related to aquaculture environment and wastewater treatment and contributes to the development of future researchers as a supervisor in advanced academic programs.

Profile: Scopus | Orcid

Featured Publications

Li, J., Ma, J., Li, Z., Xie, J., Zhang, Y., Yu, M., Xia, Y., Gong, W., Zhang, K., Wang, G., et al. (2025). C4-HSL drives rapid biofilm formation in low-temperature aquaculture effluent: Strengthening structural stability of biofilm and improving nitrogen removal efficiency. Environmental Research. https://doi.org/10.1016/j.envres.2025.122408

Li, J., Ma, J., Li, Z., Xie, J., Zhang, Y., Yu, M., Xia, Y., Gong, W., Zhang, K., Wang, G., et al. (2025). C4-HSL drives rapid biofilm formation in low-temperature aquaculture effluent: Strengthening structural stability of biofilm and improving nitrogen removal efficiency. SSRN. https://doi.org/10.2139/ssrn.5237275

Zhang, W., Ji, M., Wang, B., Xie, J., Wang, G., Gong, W., Li, H., Xia, Y., Zhang, K., Li, Z., et al. (2025). Comparative analysis of muscle metabolomics and gut microbiome provides new insights into the high fat intolerance mechanism of juvenile grass carp (Ctenopharyngodon idella). Aquaculture Reports. https://doi.org/10.1016/j.aqrep.2025.102864

 Zhang, K., Luo, Y.-M., Xie, J., Gong, W.-B., Li, Z.-F., Xia, Y., Xie, W.-P., Tian, J.-J., Li, H.-Y., Wang, G.-J., et al. (2025). Effect of complex carbon sources on the vertical distribution and exchange flux of nitrogen nutrient at the sediment–water interface. SSRN. https://doi.org/10.2139/ssrn.5098069

Tian, J., Wang, B., Ji, M., Gong, W., Li, H., Xia, Y., Zhang, K., Li, Z., Xie, W., Wang, G., et al. (2025). Effects of berberine combined with Pennisetum sinese Roxb meal on growth, hepatic lipid metabolism, and intestinal health of grass carp (Ctenopharyngodon idella). Aquaculture Reports. https://doi.org/10.1016/j.aqrep.2025.102702

 Wang, Z., Xie, J., Wang, G., Li, Z., Zhang, K., He, Z., Tian, J., Xie, W., Li, H., & Xia, Y., et al. (2025). Effects of Clostridium butyricum or Chinese herbal preparation on hepatic antioxidant capacity, immune function, and gut microbiota of bullfrog tadpoles and froglets (丁酸梭菌或中草药制剂对牛蛙蝌蚪和幼蛙肝脏抗氧化能力、免疫功能及肠道菌群的影响). Chinese Journal of Animal Nutrition. https://doi.org/10.12418/CJAN2025.438