Shengzhou Huang | Computational Lithography | Research Excellence Award

Prof. Shengzhou Huang | Computational Lithography | Research Excellence Award

Anhui Polytechnic University | China

Prof. Shengzhou Huang is an Associate Professor at Anhui Polytechnic University with expertise in intelligent manufacturing, micro-nano optical processing, digital lithography, and advanced 3D printing technologies. His research centers on maskless digital lithography, micro-optical component fabrication, precision optical forming, and optimization algorithms for high-fidelity patterning. He has published over 30 peer-reviewed papers, including 20 SCI-indexed articles in leading journals such as Optics Express, Optics and Laser Technology, and Journal of Vacuum Science & Technology B. With 205 citations, an h-index of 7, leadership of numerous competitive research projects, and more than 20 invention patents, his profile reflects strong innovation capacity and sustained research excellence.

Citation Metrics (Scopus)

220

180

140

100

60

20

0

Citations 205

Documents 29

h-index 7

Citations
Documents
h-index


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Featured Publications

Barthelemy Zra Mha | Mechanics | Excellence in Academia Award

Mr. Barthelemy Zra Mha | Mechanics | Excellence in Academia Award

Ngaoundere University | Cameroon

Mr. Barthelemy Zra Mha is an emerging researcher in solids mechanics, materials science, and applied physics, with a growing academic footprint in nonlinear vibration control, piezoelectric structures, and sustainable construction materials. His work integrates analytical modelling, experimental testing, and advanced data analysis to address challenges in mechanical behaviour and material performance. He has contributed to peer-reviewed publications, including studies on the nonlinear vibration control of piezoelectric–elastic–piezoelectric sandwich beams and the thermophysical characterization of natural-fiber-stabilized adobe materials, reflecting his dual interest in smart materials and eco-efficient building technologies. His research experience spans laboratory supervision, materials characterization, mechanical testing, and scientific communication. Recognized for academic excellence early in his career, he continues to develop a strong research profile within the Mechanics, Materials, and Acoustics Group at the University of Ngaoundéré.

Profile: Orcid

Featured Publications

Zra Mha, B., & Ntamack, G. E. (2025). Nonlinear vibration control of piezoelectric–elastic–piezoelectric sandwich beam. World Journal of Mechanics.

Zra Mha, B., Dawoua Kaoutoing, M., Moubeke, C. A., Lemanle Sanga, R. P., Doko, V., & Ntamack, G. E. (2025). Thermophysical characterization of adobes stabilized with natural fibers. Construction and Building Materials.

Huijie Zhu | Engineering | Best Researcher Award

Prof. Huijie Zhu | Engineering | Best Researcher Award

Luoyang Institute of Science and Technology | China

Prof. Huijie Zhu is a highly accomplished researcher and PhD supervisor at the Luoyang Institute of Science and Technology, China, specializing in Water Supply and Drainage Science and Environmental Engineering. His research focuses on sewage treatment technologies, nanomaterial-based pollutant removal, and photocatalytic degradation mechanisms for environmental purification. With 37 publications, an h-index of 10, and nearly 955 citations, Prof. Huijie Zhu has made significant contributions to the fields of water quality improvement, heavy metal remediation, and sustainable wastewater management. His innovative studies on Z-scheme heterojunction photocatalysts and zero-valent iron composites have advanced the understanding of efficient pollutant degradation processes. He has authored influential books, including Solar Aeration-Reactive Wall-Stabilized Sediment Treatment Technology and Schwertmannite Environmental Effects, and led several large-scale sewage treatment projects in rural China.

Profile: Scopus | Orcid

Featured Publications

Zhu, H., Fu, S., Zhang, H., Wu, X., Han, J., Ma, X., Rong, J., Chen, S., Chen, G., & Li, Y. (2025). Research on synchronous synthesis of schwertmannite for removal of Pb²⁺ from acidic wastewater. Crystals, 15(11), 929.

Wang, Y., Zhu, H., He, P., Li, M., Cao, Y., Du, Y., Wen, Y., Zhao, Y., Liu, X., & Song, Y. (2025). Two-dimensional silver bismuth oxide/bismuth molybdate Z-scheme heterojunctions with rich oxygen vacancies for improved pollutant degradation and bacterial inactivation. Crystals, 15(4), 318.

Fu, S., Chu, Z., Huang, Z., Dong, X., Bie, J., Yang, Z., Zhu, H., Pu, W., Wu, W., & Liu, B. (2024). Construction of Z-scheme AgCl/BiOCl heterojunction with oxygen vacancies for improved pollutant degradation and bacterial inactivation. RSC Advances, 14, Article D3RA08514G.

Fu, S., Huang, Z., Wang, Y., Zheng, B., Yuan, W., Li, L., Deng, P., Zhu, H., Zhang, H., & Liu, B. (2024). Fabrication of a novel Z-scheme AgBiO₃/BiOCl heterojunction with excellent photocatalytic performance towards organic pollutant. Materials, 17(18), 4615.

Shi, M., Zhang, Y., Hong, W., Liu, J., Zhu, H., Liu, X., Geng, Y., Cai, Z., Lin, S., & Ni, C. (2022). Mechanism of simultaneous lead and chromium removal from contaminated wastewater by a schwertmannite-like mineral. Environmental Science and Pollution Research, 29(56), 85364–85375.

Mohamed Dokmak | Engineering | Best Academic Researcher Award

Mr. Mohamed Dokmak | Engineering | Best Academic Researcher Award

Mr. Mohamed Dokmak, Housing and building national research center of EGYPT, Egypt

Mohamed Mahmoud Ali Ali Dokmak is an Egyptian structural engineer with over 9 years of experience at the Housing & Building National Research Center (HBRC). He holds a B.Sc. (Honors), M.Sc. in Steel Structures, and a Pre-PhD in Structural Engineering from Shoubra Faculty of Engineering, Benha University. 🏗️ A technical committee member for the Egyptian Steel Code and HBRC Development Committee, his research focuses on CFRP-strengthened steel structures and composite systems. 📚 He has published in top journals such as Construction and Building Materials and Structures. 🇪🇬 Mohamed is known for blending field expertise with advanced design research

Publication Profile

Scopus

🎓 Educational Background

Mr. Mohamed Dokmak holds a distinguished academic record in structural engineering. He earned his B.Sc. degree in Structural Engineering from Shoubra Faculty of Engineering, Benha University in July 2013, graduating third in his class with an Excellent with Honors grade, and an exceptional steel structure graduation project. 🏗️ He continued his studies at the same institution, completing an M.Sc. in Steel Structures in 2019. 📘 In 2020, he successfully completed the Pre-PhD year in Structural Engineering with an ‘A’ grade, demonstrating his strong academic foundation and commitment to research excellence.

🏗️ Research Experience

Mr. Mohamed Dokmak has been actively engaged in structural engineering research at the Housing & Building National Research Center (HBRC) since July 2015, serving as an Assistant Researcher and Technical Engineer in the Structures and Steel Constructions Institute. 🔬 He is a dedicated member of the Technical Secretariat for the development of the Egyptian Code for Steel Buildings since 2019. 📘 Additionally, he served on the HBRC Construction Development Committee from 2019 to 2024. 🏢 His work integrates practical engineering knowledge with national standards development, contributing significantly to Egypt’s construction research sector.

🔬 Research Focus

Mr. Mohamed Dokmak’s research primarily centers on structural engineering, with a focus on steel structures, composite systems, and structural strengthening using advanced materials like CFRP (Carbon Fiber Reinforced Polymer). 🏗️ His studies investigate the behavior and performance of hollow steel sections and the interaction between innovative concrete slabs and CF’S beams. His work integrates experimental analysis, design optimization, and material innovation, contributing to safer and more efficient construction technologies. 📐 His research advances sustainable, high-performance solutions in civil engineering, particularly for buildings and infrastructure systems.

Publication Top Notes

📘 “Behavior of hollow steel sections strengthened with CFRP” – Construction and Building Materials, 2019 – Cited by 150+ 🧪
🔗 DOI:10.1016/j.conbuildmat.2019.01.237

📑 “Major Parameters Governing the Strength of Hollow Steel Sections Strengthened by CFRP” – Egypt Steel 19 Conference, 2019 – Cited by 15+ 📊

🏗️ “Investigating the composite action between innovative concrete slabs and CF’S beams” – Structures, 2025 – New Publication
🔗 DOI:10.1016/j.istruc.2025.109399

Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany

Manjunath Thindlu Rudrappa is an accomplished researcher specializing in radar signal processing, object tracking, and space object characterization. He is currently a Doctoral Researcher at Fraunhofer FHR, Germany, focusing on phased array radar networks. With a strong academic background from RWTH Aachen University and Visvesvaraya Technological University, his expertise spans ISAR imaging, interferometry, and machine learning applications in radar technology. He has contributed significantly to the field through high-impact publications and innovative research in MIMO radar systems. Manjunath has also worked with industry leaders such as Bosch and Fraunhofer, gaining extensive experience in embedded systems and radar post-processing. His research excellence has been recognized with prestigious awards, including the Young Scientist Award and the Argus Science Award. Passionate about advancing radar and space technology, he continues to drive innovation in signal processing and object detection methodologies. 🚀📡

Publication Profile

Google Scholar

📚 Education

Manjunath earned his Bachelor of Engineering (B.E.) in Electronics and Communication from Visvesvaraya Technological University, India, graduating with an impressive 86.41% aggregate. His bachelor thesis focused on developing an intelligent paradigm for electric vehicles using buck-boost converters, super-capacitors, and regenerative braking, under the guidance of Dr. Bhakthavatsalam and Mr. Gowranga K.H from IISc Bangalore. He pursued his Master of Science (M.Sc.) in Communication Engineering at RWTH Aachen University, Germany, achieving a 1.5 aggregate. His master thesis at Fraunhofer FHR was on vital parameter detection of moving persons using MIMO radar, supervised by Prof. Dr.-Ing Peter Knott and Dr.-Ing Reinhold Herschel. Currently, he is a PhD researcher at RWTH Aachen University, working on the characterization of resident space objects using phased array radar networks, pushing the boundaries of radar and space object detection technology. 🎓📡

💼 Experience

Manjunath began his career as an Embedded Software Engineer at Robert Bosch Engineering and Business Solutions Limited (2014–2017) in India, working on software development for automotive systems. Moving to Bosch Engineering GmbH, Germany, he served as an Embedded Application Software Developer (2018–2019), specializing in software solutions for automotive applications. His transition to Fraunhofer FHR in Germany marked his entry into radar research, where he worked as a Work Student (2019–2020) on vital parameter estimation, detection, tracking, and clustering. Since 2020, he has been a Doctoral Researcher and Wissenschaftlicher Mitarbeiter at Fraunhofer FHR, contributing to advanced radar signal processing, ISAR imaging, interferometry, and object tracking. His research spans both defense and space applications, making significant contributions to radar-based object detection and feature extraction techniques. 🔬🚀

🏆 Awards & Honors

Manjunath has received prestigious recognitions for his contributions to radar signal processing and communication technology. In October 2020, he won the Young Scientist Award at the International Radar Symposium in Warsaw, Poland, for his research on vital parameter detection of non-stationary human subjects using MIMO Radar. His master thesis on signal processing and microwave technology earned him the Argus Science Award 2020 from Hensoldt, Germany, recognizing his exceptional contributions to the field. His work has been highly regarded in the academic and industrial research community, reinforcing his status as a leading researcher in radar technology, space object tracking, and embedded systems. 🏅📡

🔬 Research Focus

Manjunath’s research is centered on radar signal processing, object tracking, and space object characterization. His expertise includes ISAR imaging, interferometry, feature extraction, machine learning, and deep learning for radar applications. He has worked extensively with MIMO radar systems, contributing to human vital sign detection, tracking, and clustering. His PhD research explores phased array radar networks for resident space object characterization, a crucial area in space surveillance and satellite tracking. Additionally, he has experience in embedded systems, automotive radar applications, and defense technology, making significant contributions to intelligent sensing and radar post-processing methodologies. His work bridges the gap between academic research and industrial innovation, shaping the future of radar and communication engineering. 🌍📡🚀

Publication Top Notes

1️⃣ Moving human respiration sign detection using mm-wave radar via motion path reconstruction – Cited by: 17 | Year: 2021 📡👤💨
2️⃣ Vital parameters detection of non-stationary human subject using MIMO radar – Cited by: 11 | Year: 2020 📡🔬🧍
3️⃣ Distinguishing living and non-living subjects in a scene based on vital parameter estimation – Cited by: 8 | Year: 2021 🔍👤🏠
4️⃣ Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging – Cited by: 4 | Year: 2024 🛰️📡📊
5️⃣ 3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data – Cited by: 4 | Year: 2022 🌍📡📉
6️⃣ Improvements of GESTRA—A phased-array radar network for the surveillance of resident space objects in low-Earth orbit – Cited by: 2 | Year: 2023 🚀🛰️📶
7️⃣ RSO feature extraction using Super Resolution Wavelets and Inverse Radon Transform – Cited by: 1 | Year: 2022 📡📊📉
8️⃣ High-resolution human clustering based on complex signal correlation coefficients – Cited by: 1 | Year: 2022 🏠📡📊
9️⃣ Characterisation of Resident Space Objects and Synchronisation Error Compensation in Multistatic Interferometric Inverse Synthetic Aperture Radar Imaging – Year: 2025 🛰️📡📊
🔟 Clusterung von Detektionen – Year: 2022 📡📍🔍

Conclusion

Mr. Manjunath Thindlu Rudrappa has a strong research profile, with high-impact contributions in radar signal processing, object tracking, and communication engineering. His awards, affiliations, and research publications make him a highly suitable candidate for the Research for Best Researcher Award. His expertise in machine learning applications in radar, feature extraction, and interferometry aligns with modern advancements in the field, further strengthening his candidacy.

Gang Li | Mechanical Engineering | Best Researcher Award

Assoc. Prof. Dr. Gang Li | Mechanical Engineering | Best Researcher Award

Associate professor, Northeast Electric Power University, China

🔬 Assoc. Prof. Dr. Gang Li is a distinguished researcher in mechanical manufacturing and automation at Northeast Electric Power University. He holds a PhD from South China University of Technology and has led numerous projects in metal material processing, mechanical equipment development, and metrological verification. His expertise includes Ti-6Al-4V material processing, intelligent metering systems, and unmanned technology research. He has authored 10+ SCI papers, holds multiple patents, and has contributed to national and provincial research projects. Passionate about innovation and automation, he actively explores advancements in mechanical engineering. ✨🔧📡

 

Publication Profile

Scopus

🎓 Educational Background

Assoc. Prof. Dr. Gang Li has a strong academic foundation in mechanical engineering and automation. He earned his PhD (2013-2017) 🎓 from South China University of Technology, specializing in Mechanical Manufacturing and Automation. Prior to this, he completed a Master’s degree (2010-2013) 🏅 at Changchun University of Science and Technology, focusing on Machinery Manufacturing and Automation. His first Master’s degree (2004-2008) 🏆 was from Inner Mongolia University of Science and Technology, specializing in Mechanical Design, Manufacture, and Automation. His extensive academic training has contributed significantly to his expertise in mechanical innovation and research. 🔧📡

🔬 Project Experience

Assoc. Prof. Dr. Gang Li has contributed to multiple mechanical and automation research projects. His work on Ti-6Al-4V cutting and surface strengthening technology 🏗️ optimized machining parameters and tools for titanium alloy casing. He played a key role in the Guangdong Provincial Energy Metering and Verification Center ⚡, overseeing equipment installation and debugging. His research on intelligent, unmanned metrological verification 🏭 focused on fault detection and automation. As the principal investigator of the intelligent metering turnover cabinet 📟, he developed a system for efficient energy meter management, enhancing automation and operational efficiency. 🔧🚀

🔬 Research Focus

Assoc. Prof. Dr. Gang Li specializes in mechanical engineering 🏭, with a focus on materials processing and surface strengthening technologies. His research explores electropulsing-assisted ultrasonic strengthening ⚡🔊, particularly its impact on fatigue properties of Ti–6Al–4V alloys 🏗️. He also investigates fretting friction characteristics 🔧, optimizing heat-treated alloys for enhanced durability. His contributions in metallurgical and materials science 🏺 are crucial for improving the performance and lifespan of structural components in aerospace ✈️, automotive 🚗, and energy sectors ⚡. With multiple publications and citations, his work advances manufacturing and materials innovation. 🚀

Publication Top Notes

Effect of Electropulsing-Assisted Ultrasonic Strengthening on Fatigue Properties of HIP Ti–6Al–4V Alloy

Study on surface fretting friction properties of heat-treated HIP Ti-6Al-4 V alloy after heating-assisted ultrasonic surface strengthening