Mr. Benjamin Roediger | Aerospace Engineering | Best Researcher Award

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Mr. Benjamin Roediger | Aerospace Engineering | Best Researcher Award

Mr. Benjamin Roediger | German Aerospace Center | Germany

Mr. Benjamin Roediger is a highly experienced Research Associate and Project Manager at the German Aerospace Center (DLR), where he leads advanced projects in space-based laser communication technologies. Since,he has contributed to the development of innovative optical communication systems for CubeSats, including CubeISL and OSIRIS4CubeSat. His expertise spans quantum key distribution, ISS-integrated systems, and satellite mission operations. In addition to his engineering work, Benjamin is an accomplished public speaker and educator, frequently invited to deliver talks at international conferences and academic programs.

Professional Profile

Google Scholar

Education and Experience

Mr. Benjamin Roediger likely holds an advanced degree in aerospace engineering, telecommunications, or a related technical field, though the specific qualifications are not detailed. Professionally, he has been part of the German Aerospace Center (DLR) since, where he has served in multiple critical capacities. As a Project Manager, he led the development and testing of laser communication terminals for small satellites, particularly within the SeRANIS and CubeISL programs. His role as Systems Engineer involved coordinating technical interfaces between development teams and aligning integration requirements for systems destined for the International Space Station in cooperation with Airbus Defence and Space. Earlier, as a Project Engineer, he was responsible for verifying compliance with European Aviation Safety Agency regulations and managing flight campaigns.

Summary Suitability

Mr. Benjamin Roediger is a distinguished candidate for the Best Researcher Award, recognized for his groundbreaking contributions in the field of optical satellite communication systems, particularly through the development and deployment of laser terminals for CubeSats. As a Research Associate at the German Aerospace Center (DLR), he has demonstrated exceptional expertise in systems engineering, project leadership, and applied space technologies.

Professional Development

Mr. Benjamin Roediger has developed a broad skill set in project management, systems engineering, and satellite communications through his work at the German Aerospace Center (DLR). He has managed cross-functional teams, overseen high-level technical projects, and led missions from initial planning through to in-orbit operation. His ability to coordinate stakeholders, manage risk, and guide project strategy has made him a key figure in laser communications research. He has also been actively involved in the transition of research technologies to industrial applications. His professional growth is reflected in his frequent invitations as a public speaker, guest lecturer, and technical representative at international forums.

Research Focus 

Mr. Benjamin Roediger’s research is centered on the development of advanced optical communication systems in space. He specializes in laser terminals for CubeSats, enabling high-speed data transfer and inter-satellite communication. His projects include CubeISL and OSIRIS4CubeSat, both of which involved the creation and testing of compact laser systems. He has also contributed to the QUBE project, which aims to enable quantum key distribution using small satellites. His work includes mission planning, ground-based testing, and in-orbit demonstrations. The research focuses on translating laboratory innovations into practical, space-qualified technologies, with a strong emphasis on miniaturization, system integration, and secure communication.

Awards and Honors

Mr. Benjamin Roediger has received recognition for his leadership and outreach in the space technology field. He has served as a keynote speaker at the Mobiles GIS-Forum der GI Geoinformatik and as a featured webinar presenter for NASA’s Small Spacecraft Systems Virtual Institute. He has been invited as a guest lecturer at the Space Challenges Program, engaging with academic and professional communities. His expertise has been highlighted in podcasts. In his technical roles, he has served as payload lead and project lead for several key space missions, including OSIRIS4CubeSat and QUBE.

Publication Top Notes

  • High data-rate optical communication payload for CubeSats
    Year: 2020
    Cited by: 30

  • DLR’s Optical Communication Terminals for CubeSats
    Year: 2022
    Cited by: 29

  • Downlink communication experiments with OSIRISv1 laser terminal onboard Flying Laptop satellite
    Year: 2022
    Cited by: 21

  • Cube laser communication terminal (CubeLCT) state of the art
    Year: 2023
    Cited by: 19

  • Update on DLR’s OSIRIS program and first results of OSIRISv1 on Flying Laptop
    Year: 2019
    Cited by: 18

  • Horizontal free-space optical link with CubeISL
    Year: 2024
    Cited by: 16

  • QUBE–Towards Quantum Key Distribution with Small Satellites
    Year: 2022
    Cited by: 15

 

Conclusion

Benjamin Roediger’s consistent track record of innovation, collaborative leadership, and international impact makes him an outstanding nominee for the Best Researcher Award. His work not only advances scientific knowledge but also paves the way for next-generation satellite communications and quantum-secure networks in space.

 

Ms. Mohadeseh Naderi | Renewable Energy | Best Researcher Award

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Ms. Mohadeseh Naderi | Renewable Energy | Best Researcher Award

Ms. Mohadeseh Naderi, Dundalk Institute of technology, Ireland.

Ms. Mohadeseh Naderi is a dedicated researcher at Dundalk Institute of Technology with a strong focus on renewable energy and biomass conversion. She holds a Master’s degree in Chemical Engineering and is currently pursuing her PhD in the field of sustainable energy. Her academic research has been published in reputable journals including Biomass Conversion and Biorefinery and the International Journal of Thermofluids. She is an active member of Engineers Ireland and is known for her technical knowledge and research excellence. In recognition of her work, she was awarded the Best Paper Award at the SEEP 2024 Conference.

Professional Profile

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Education and Experience

Ms. Mohadeseh Naderi completed her Master’s degree in Chemical Engineering and is currently engaged in doctoral research in the field of renewable energy. She is affiliated with Dundalk Institute of Technology as a researcher. Throughout her academic journey, she has contributed to several scholarly publications including articles in Biomass Conversion and Biorefinery and the International Journal of Thermofluids. Her experience includes extensive work in biomass conversion and thermofluid systems, combining theoretical knowledge with practical application in sustainable energy development.

Summary Suitability

Ms. Mohadeseh Naderi is a highly deserving candidate for the Best Researcher Award based on her sustained academic dedication, impactful research outputs, and contributions to the renewable energy sector. Currently a PhD researcher at Dundalk Institute of Technology, she holds an MSc in Chemical Engineering and specializes in biomass conversion and sustainable energy systems. Her work aligns with global environmental goals and demonstrates both scientific excellence and practical relevance.

Professional Development

Ms. Mohadeseh Naderi has shown consistent growth in her professional journey through academic advancement and active research. With a foundation in chemical engineering, she has expanded her expertise to include renewable energy systems and sustainable technology. She has authored peer-reviewed articles in high-impact journals and maintains active participation in professional organizations such as Engineers Ireland. Her work is not only academic but also aimed at real-world applications that contribute to environmental sustainability. Through ongoing research and collaborations, she continues to enhance her knowledge and impact in the energy and engineering sectors.

Research Focus 

Ms. Mohadeseh Naderi’s research is centered on advancing technologies in renewable energy, with a particular emphasis on biomass conversion. Her work explores innovative thermochemical and biochemical pathways for transforming organic waste into clean, sustainable energy sources. By integrating principles of chemical engineering and thermofluid dynamics, she develops efficient systems that optimize energy recovery while minimizing environmental impact. Her research contributes to addressing global energy challenges by promoting alternatives to fossil fuels and supporting the transition to low-carbon economies. With both scientific rigor and practical relevance, her studies offer scalable solutions for energy sustainability in academic, industrial, and environmental contexts.

Awards and Honors

Ms. Mohadeseh Naderi received the Best Paper Award at the Sustainable Energy and Environmental Protection (SEEP) Conference held in September 2024. She also obtained a Certificate of Merit from the event organizers in recognition of her presentation. Her citation index currently stands at one, reflecting her early but impactful contributions to academic research.

Publication Top Notes

  1. Naderi, M., & Vesali-Naseh, M. (2021). Hydrochar-derived fuels from waste walnut shell through hydrothermal carbonization: Characterization and effect of processing parameters. Biomass Conversion and Biorefinery, 11(5), 1443–1451.
    [Cited by: 40 | Published: October 12, 2019 | Indexed: SCI/Scopus]

  2. Naderi, M., Rashidi, H., Reynolds, A., & Doherty, W. (2024). Aspen Plus modelling of the MILENA dual fluidised bed biomass gasifier technology. SEEP Conference 2024, 7.
    [Presented: September 2024 | Awarded Best Paper]

  3. Naderi, M., & Vesali-Naseh, M. (2017). Production of Hydrochar from Biomass by Hydrothermal Carbonization. 4th International Conference on Applied Research in Chemistry, Science, and Biology, October 19, 2017.

Conclusion

Ms. Mohadeseh Naderi’s contributions in advancing renewable energy technologies, particularly through novel biomass utilization strategies, make her a strong candidate for the Best Researcher Award. Her work has already started influencing both academic and applied sectors, with promising potential for further impact.

 

Assoc. Prof. Dr. Lei Zhang | Sensors | Best Researcher Award

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Assoc. Prof. Dr. Lei Zhang | Sensors | Best Researcher Award

Assoc. Prof. Dr. Lei Zhang , North University of China , China.

Dr. Lei Zhang  is an Associate Professor at the School of Semiconductor and Physics, North University of China . A pioneering researcher in micro-nano devices and sensor technology , he has authored over 40 SCI papers , filed 20+ patents , and contributed to key national research projects . His expertise includes flexible 2D nanomaterial sensors, wireless passive systems, and high-temperature measurement devices . With 1063 citations , he plays a vital role in advancing sensor innovation for aerospace and other extreme environments . Prof. Zhang is also a recipient of top awards in technology and teaching 🏆.

Professional Profile

Scopus

Education & Experience

  • 🎓 Ph.D. in Physics or Engineering 

  • Associate Professor, School of Semiconductor and Physics, North University of China (Feb 2021 – Present)

  • ✍️ Published 40+ SCI-indexed papers

  •  16 first/corresponding author papers, 6 in Q1 journals, 1 cover paper

  • 🧪 Led multiple national science and technology research projects

  • 20+ patents & 1 software copyright granted

Summary Suitability

Dr. Lei Zhang, Associate Professor at the School of Semiconductor and Physics, North University of China, stands as a prime candidate for the Best Researcher Award due to his exceptional contributions to micro-nano sensor technologies and cutting-edge research in extreme-environment sensing. Since 2021, Prof. Zhang has published 49 high-impact journal papers (including 40+ SCI-indexed articles, 6 in top-tier journals, and 1 cover article), secured over 20 patents, and led 10 major research projects—including National Natural Science Foundation and national-level technological innovation initiatives.

Professional Development 

Prof. Lei Zhang actively leads innovative research projects 🔍, including National Natural Science Foundation initiatives and major national science and technology programs 🇨🇳. His work in flexible sensors, wireless sensing systems, and high-temperature micro-nano devices contributes significantly to national priorities in aerospace and advanced manufacturing . With strong interdisciplinary skills 🧠 and an extensive publication record , he supports technological advancement in complex sensing systems. Through collaborative projects, patent development , and high-impact publications, Prof. Zhang continues to enhance the academic and industrial value of sensor technologies in extreme and mission-critical environments 🔥.

Research Focus 

Dr. Lei Zhang’s research focuses on Micro-Nano Devices & Sensor Technology 🔬. His key interests lie in developing flexible force-thermal sensors based on two-dimensional nanomaterials, high-temperature resistant ceramic-based sensors, and passive wireless sensing instruments . These innovations are tailored for extreme environments such as aerospace, high-heat industrial zones, and advanced machinery . His goal is to achieve precise, multi-parameter measurements for force and temperature-sensitive applications . Prof. Zhang’s work contributes to national engineering challenges by delivering high-performance, miniaturized, and integrated measurement solutions  that advance both theoretical research and practical deployment in real-world scenarios .

Awards and Honors

  • 🏆 First Prize, Technological Invention Award, Shanxi Province

  • 🏅 Special Prize, Teaching Achievement Award, Shanxi Province

  • 🔬 Cover Paper, SCI Journal

  • 📈 1063 citations indicating strong academic influence

  • 🚀 Principal Investigator of national science and technology projects

Publication Top Notes

  1.  Title: Sensing surface tension for evaluating circulating tumor cell transiting behaviors at narrow vessels
     Journal: Sensors and Actuators A: Physical
     Year: 2025

  2.  Title: Ultrasensitive iontronic pressure sensor based on microstructure ionogel dielectric layer for wearable electronics
     Journal: Nanotechnology and Precision Engineering
     Year: 2025

  3. Title: Temperature-compensated fiber-optic Fabry–Perot pressure sensor based on sapphire MEMS technology for high-temperature environment up to 1500°C
    Journal: Optics Express
    Year: 2025

  4.  Title: Research on the optimization of electrical properties for low-temperature sintered indium tin oxide slurry
     Journal: Vacuum
     Year: 2025

  5. Title: A Wide-Range, Highly Stable Intelligent Flexible Pressure Sensor Based on Micro-Wrinkled SWCNT/rGO-PDMS with Efficient Thermal Shrinkage
     Journal: Biosensors
     Year: 2025

  6.  Title: Facile preparation of porous MXene/cellulose nanofiber composite for highly-sensitive flexible piezoresistive sensors in e-skin
     Journal: Chemical Engineering Journal
     Year: 2025

Conclusion

Prof. Lei Zhang’s pioneering research, real-world applications, and consistent academic excellence make him a leading figure in sensor innovation and a standout candidate for the Best Researcher Award. His work continues to influence critical technologies in national-level projects, solidifying his role as a scientific leader in the field.

Dr. Yudong Li | Mechanics | Best Researcher Award

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Dr. Yudong Li | Mechanics | Best Researcher Award

Dr. Yudong Li , Southwest Jiaotong University , China.

Dr. Yudong Li 🎓 is a dedicated researcher in mechanics and computational modeling, currently pursuing a joint Ph.D. at Université Paris-Saclay 🇫🇷 and Southwest Jiaotong University 🇨🇳. With a strong academic foundation from Hohai University 🏫, his work focuses on fluid dynamics, composite materials, and advanced numerical methods. Yudong has developed high-precision simulation frameworks for thermo-viscoelastic flows and multi-body contact problems ⚙️💧. His research is published in top journals like Ocean Engineering and Applied Mathematics and Mechanics 📚. Passionate and innovative, Yudong brings international collaboration, technical expertise, and academic rigor to the field of computational mechanics 🌍🧠.

Professional Profile

Scopus

Education & Experience 

🎓 Education:

  • 🧠 Ph.D. in Mechanics (Joint Program)
    Université Paris-Saclay & Southwest Jiaotong University
    🗓️ Oct 2023 – Apr 2025 (France), Sep 2021 – Jun 2025 (China)

  • 📚 M.S. in Engineering Mechanics
    Hohai University, Nanjing, China 🗓️ Sep 2018 – Jun 2021

  • 🧾 B.S. in Engineering Mechanics
    Hohai University, Nanjing, China 🗓️ Sep 2014 – Jun 2018

🔬 Research Experience:

  • 🧪 Thermoviscoelastic Fluid Flow & Multi-Body Contact Simulation
    Developed composite-particle numerical models at Southwest Jiaotong University

  • 📈 Finite Difference Method for Composite Plates
    Innovated analysis techniques during M.S. research at Hohai University

  • 💻 MATLAB Software for Heat Conduction
    Built a software package for transient heat simulations as part of undergraduate thesis

summary Suitability

Yudong Li is an exceptional candidate for the Best Researcher Award due to his pioneering contributions in the field of computational mechanics, thermo-viscoelastic fluid dynamics, and particle-based simulation techniques. As a joint Ph.D. researcher at Université Paris-Saclay and Southwest Jiaotong University 🇨🇳, Yudong has demonstrated outstanding research capabilities that span theoretical development, numerical algorithm innovation, and high-impact publishing.

Professional Development 

Yudong Li is committed to continuous professional development through active research, global collaboration, and advanced tool development 🌐🔬. His joint doctoral training in China and France reflects his dedication to international academic excellence 🇨🇳🇫🇷. He contributes to pioneering numerical algorithms and has co-authored multiple high-impact journal papers 📖✍️. Yudong also hones programming and simulation skills through MATLAB and other computational platforms 💻🧠. Engaging with cross-disciplinary teams and adapting to modern engineering challenges, he is poised to make lasting contributions in computational fluid dynamics, contact mechanics, and composite material modeling 🚀⚙️.

Research Focus

Yudong Li’s research focuses on computational mechanics, particularly thermo-viscoelastic fluid flows and multi-rigid-body contact dynamics 🧪⚙️. He specializes in particle-based simulation algorithms and finite difference methods for analyzing complex mechanical systems, such as composite plates and heat conduction phenomena 🔥📊. His work addresses challenges like the high-Weissenberg-number (HWN) problem and cohesive zone modeling in viscoelastic materials. By integrating fluid-structure interaction, functional materials, and simulation software development, Yudong contributes to advancing high-fidelity engineering simulations for real-world applications in ocean, aerospace, and mechanical engineering 🌊✈️📐.

Awards and Honors

  • 🏆 Published in Top-Tier Journals:

    • Ocean Engineering

    • Applied Mathematics and Mechanics (English Edition)

    • Computer Methods in Applied Mechanics and Engineering

  • 📜 Joint Ph.D. Fellowship between Université Paris-Saclay 🇫🇷 and Southwest Jiaotong University 🇨🇳

  • 💡 Academic Excellence in Master’s and Bachelor’s Research – Recognized for innovative numerical methods and simulation tools

Publication Top Notes

  1. Title: A coupled stabilized scheme on decoupled finite smoothed particle hydrodynamics and distributed contact discrete element method to simulate fluid–rigid-body interaction with multibody contacts
    Authors: Yudong Li, Chunfa Wang, Yan Li, Pierre Joli, Moubin Liu, Zhiqiang Feng
    Journal: Ocean Engineering
    Year: 2025
    Volume: 316
    Article ID: 119962
    Publisher: Elsevier
    Impact Area: Fluid–structure interaction, particle methods

  1. Title: Numerical investigation on a comprehensive high-order finite particle scheme
    Authors: Yudong Li, Yan Li, Chunfa Wang, Pierre Joli, Zhiqiang Feng
    Journal: Applied Mathematics and Mechanics (English Edition)
    Year: 2025
    Volume: 46
    Pages: 1187–1214
    Publisher: Springer
    Focus: Finite particle methods, high-order numerical modeling

  1. Title: Isogeometric analysis of adhesion between visco-hyperelastic material based on modified exponential cohesive zone model
    Authors: Chunfa Wang, Yan Li, Lin Tao, Yudong Li, Libang Hu, Zhiqiang Feng
    Journal: Computer Methods in Applied Mechanics and Engineering
    Year: 2025
    Volume: 434
    Article ID: 117562
    Publisher: Elsevier
    Domain: Computational contact mechanics, material adhesion

  1. Title: Extension of finite particle method simulating thermal-viscoelastic flow and fluid–rigid body interactional process in weakly compressible smoothed particle hydrodynamics scheme
    Authors: Yudong Li, Yan Li, Pierre Joli, Huijian Chen, Zhiqiang Feng
    Journal: Physics of Fluids
    Year: 2024
    Volume: 36
    Issue: 4
    Article ID: 043307
    Publisher: AIP Publishing
    Highlights: Thermo-viscoelastic modeling, SPH methods

  1. Title: Coupling effect of large deformation and surface roughness on dynamic frictional contact behaviors of hyperelastic material
    Authors: Chunfa Wang, Yudong Li, Yan Li, Yajie Fan, Zhiqiang Feng
    Journal: Computational Mechanics
    Year: 2024
    Volume: 75
    Pages: 455–473
    Publisher: Springer
    Field: Tribology, hyperelastic material modeling

  1. Title: A coupled particle model with particle shifting technology for simulating transient viscoelastic fluid flow with free surface
    Authors: Yudong Li, Yan Li, Zhiqiang Feng
    Journal: Journal of Computational Physics
    Year: 2023
    Volume: 488
    Article ID: 112213
    Publisher: Elsevier
    Keywords: Particle shifting, viscoelastic flow, free surface modeling

  1. Title: Extension of decoupled finite particle method to simulate non-isothermal free surface flow
    Authors: Yudong Li, Yan Li, Zhiqiang Feng
    Journal: International Journal of Multiphase Flow
    Year: 2023
    Volume: 167
    Article ID: 104532
    Publisher: Elsevier
    Topic: Multiphase simulation, non-isothermal modeling

Conclusion

Dr. Yudong Li exemplifies the spirit of the Best Researcher Award through his interdisciplinary expertise, originality in solving complex engineering problems, and consistent record of scholarly excellence. His innovative methods, international research exposure, and transformative contributions to computational mechanics mark him as a rising leader in engineering science, fully deserving of this prestigious recognition.

Mrs. Yingnan Zhao | Pattern Recognition | Best Scholar Award

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Mrs. Yingnan Zhao | Pattern Recognition | Best Scholar Award

Mrs. Yingnan Zhao , Nanjing University of Information Science & Technology , China.

Mrs. Yingnan Zhao 👩‍🔬 is an Associate Professor at the School of Computer, Nanjing University of Information Science and Technology 🇨🇳. She earned her Ph.D. in Pattern Recognition and Intelligent Systems 🎓 and has conducted international research as a visiting scholar in Ireland 🇮🇪 and Australia 🇦🇺. Her teaching includes Data Structures and Operating Systems 💻, and her research interests span character recognition 🔠, image processing 🖼️, and distribution network automation ⚡. With a rich academic and research background, Dr. Zhao contributes significantly to the advancement of intelligent systems and practical computing applications in automation and pattern recognition. 🌍📊

Professional Profile

Scopus

Education & Experience 

🎓 Education

  • 📘 Bachelor of Engineering (1992–1996), Computer Application – Shaanxi Normal University

  • 📗 Master of Engineering (1999–2002), Computer Application – Shenyang Ligong University

  • 📙 Ph.D. in Engineering (2002–2005), Pattern Recognition & Intelligent Systems – Nanjing University of Science and Technology

  • 🌍 Visiting Scholar (2010–2011) – Waterford Institute of Technology, Ireland 🇮🇪

  • 🌏 Visiting Scholar (2015–2016) – University of Technology Sydney, Australia 🇦🇺

💼 Experience

  • 👩‍🏫 Associate Professor (2008–Present), School of Computer, Nanjing University of Information Science and Technology

  • 📚 Teaching: Operating Systems, Data Structures, etc.

  • 🔬 Research: Pattern Recognition, Image Processing, Distribution Automation

Summary Suitability

Mrs. Zhao Yingnan, a distinguished Associate Professor at the School of Computer, Nanjing University of Information Science and Technology, is a highly suitable candidate for the Best Scholar Award in recognition of her outstanding academic achievements, international research experience, and impactful contributions to computer science, particularly in pattern recognition, image processing, and intelligent automation systems.

Professional Development

Mrs. Zhao’s professional journey has been marked by continuous development through global academic exchange 🌐 and interdisciplinary research 📊. As a visiting scholar in both Ireland 🇮🇪 and Australia 🇦🇺, she broadened her exposure to emerging technologies and global research trends. Her consistent contributions in education and research reflect her commitment to professional excellence 🏅. She actively mentors students 👩‍🎓👨‍🎓, engages in collaborative research projects 🤝, and publishes scholarly articles 📄. Through teaching core computing courses and pioneering studies in automation and image analysis, she continues to evolve as a dynamic academic leader in her field. 🔍🚀

Research Focus

Mrs. Zhao’s research centers around Intelligent Systems and Applied Computing 🧠💡. Her work explores Pattern Recognition 🔍, particularly in character and image recognition 🔠🖼️, where she develops efficient methods for identifying visual patterns. She also investigates Image Processing techniques for extracting meaningful insights from data-rich environments 📷➡️📊. Additionally, her focus on Distribution Network Automation ⚡ reflects her interest in the practical integration of computing systems in smart grids and industrial environments 🔧💻. Bridging theory and application, her research is pivotal in enhancing automation, recognition systems, and smart infrastructure technologies 🌐📡.

Awards and Honors 

  • 🥇 Recognized as Visiting Scholar at University of Technology Sydney, Australia

  • 🏆 Selected for Academic Exchange Program at Waterford Institute of Technology, Ireland

  • 📜 Honored for contributions to Pattern Recognition and Image Processing in academic forums

  • 🌟 Commended by Nanjing University of Information Science and Technology for Teaching Excellence

Publication Top Notes

  1. Zhao, Y., et al. (2025).
    GDText-VM: An Arbitrary-Shaped Scene Text Detector Based on Globally Deformable VMamba.
    Complex and Intelligent Systems, 2025.

  1. Zhao, Y., et al. (Year not specified).
    Chinese Short Text Classification with Hybrid Features and Multi-Head Attention.
    📑 Citations: 2

  1. Zhao, Y., et al. (2024).
    Short-Term Wind Power Prediction Based on WVMD and Spatio-Temporal Dual-Stream Network.
    Computers, Materials & Continua, 2024. (Open Access)
    📑 Citations: 1

  1. Zhao, Y., et al. (2024).
    YOLOv5ST: A Lightweight and Fast Scene Text Detector.
    Computers, Materials & Continua, 2024. (Open Access)

Conclusion

 Mrs. Zhao Yingnan exemplifies the ideals of the Best Scholar Award through her sustained academic excellence, cross-border collaborations, and pioneering research in intelligent computing and automation. Her dedication to education, innovation, and international academic integration makes her a truly deserving recipient of this prestigious honor. 🌟

Dr. Rudolf Huebner | Bioengineering | Best Researcher Award

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Dr. Rudolf Huebner | Bioengineering | Best Researcher Award

Dr. Rudolf Huebner , Universidade Federal de Minas Gerais , Brazil .

Dr. Rudolf Huebner 🎓, born in Belo Horizonte, Brazil 🇧🇷, is a distinguished mechanical engineer and a Level 1D Researcher in Productivity at CNPq 🏅. He serves as an Associate Professor at the Federal University of Minas Gerais (UFMG) 🏛️. With extensive experience in fluid mechanics 💧 and heat transfer 🔥, his research spans cardiovascular engineering , photodynamic therapy 💡, and assistive technology ♿. At Labbio 🧪, he integrates non-invasive techniques like LDA and PIV 📡 for advanced flow analysis. His commitment to innovation and academic excellence shapes future engineers and biomedical solutions.

Professional Profile

Orcid
Google Scholar

Education and Experience 

📘 Education:

  • 🎓 Ph.D. in Mechanical Engineering (2003) – UFMG, Brazil 🇧🇷 (Research also at Università Politecnica delle Marche, Italy 🇮🇹)

  • 🎓 Master’s in Mechanical Engineering (1995) – UFMG

  • 🎓 Bachelor’s in Mechanical Engineering (1992) – UFMG

💼 Experience:

  • 👨‍🏫 Associate Professor (2006–Present) – UFMG, Full-time

  • 👨‍🏫 Substitute Professor (2003–2004 & 1995–1996) – UFMG, Part-time

  • 🧪 Coordinator of Labbio (Bioengineering Laboratory) – UFMG

Summary Suitability

Dr. Rudolf Huebner, a Level 1D Productivity Researcher at CNPq and an Associate Professor at the Federal University of Minas Gerais (UFMG), exemplifies academic excellence, innovation, and interdisciplinary impact—making him a compelling candidate for the Best Researcher Award. With over three decades of commitment to mechanical engineering, Dr. Huebner has significantly advanced the fields of fluid mechanics, heat transfer, and bioengineering, with specialized contributions in cardiovascular engineering and computational simulation.

Professional Development

Dr. Rudolf Huebner has contributed extensively to academia and engineering through innovative teaching and interdisciplinary research 🌐. As a passionate educator 👨‍🏫, he teaches advanced subjects like compressible flow, fluid systems, and computational heat transfer 💻🔥. His leadership at Labbio 🧬 fosters collaboration across biomedical, mechanical, and computational fields, nurturing young researchers 🌱. Engaging with modern tools such as numerical simulations 🧠 and LDA/PIV techniques 📡, he bridges engineering theory and medical applications 🫀. His professional growth continues to impact areas like tissue engineering, additive manufacturing 🖨️, and assistive technologies 🤖, demonstrating dedication to both science and society 🌍.

Research Focus

Dr. Rudolf Huebner’s primary research focus lies at the intersection of fluid mechanics 💧, heat transfer 🔥, and bioengineering 🧠. His work emphasizes the development of mathematical models 🧮 and computational simulations for biomedical applications 🫀, particularly in cardiovascular engineering ❤️. Through the Bioengineering Lab (Labbio) 🧪, he leads research in photodynamic therapy 💡, assistive technologies ♿, and tissue engineering 🧬. His innovative use of non-invasive flow measurement tools like LDA and PIV 📡 supports precise diagnostics and modeling. Overall, his multidisciplinary research benefits healthcare, energy efficiency ⚡, and mechanical system innovations 🚀, marking his contributions to both engineering and life sciences 🌐.

Awards and Honors 

  • 🏅 CNPq Research Productivity Fellow – Level 1D

  • 📚 CAPES Scholarship Holder (Master’s)

  • 📚 CNPq Scholarship Holder (Doctorate)

  • 🇮🇹 International Research Collaboration – Università Politecnica delle Marche, Italy

Publication Top Notes

  • Lucas, T.C., Tessarolo, F., Jakitsch, V., Caola, I., Brunori, G., Nollo, G., & Huebner, R. (2014). Blood flow in hemodialysis catheters: a numerical simulation and microscopic analysis of in vivo‐formed fibrin. Artificial Organs, 38(7), 556–565. [Citations: 45]

  • da Costa, R.B.R., Braga, R.M., Gomes Júnior, C.A., Valle, R.M., & Huebner, R. (2017). PIV measurements and numerical analysis of in-cylinder tumble flow in a motored engine. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39. [Citations: 29]

  • Mezêncio, B., Pinho, J.P., Huebner, R., Vilas-Boas, J.P., Amadio, A.C., & Serrão, J.C. (2020). Overall indexes of coordination in front crawl swimming. Journal of Sports Sciences, 38(8), 910–917. [Citations: 24]

  • Avelar, A.H.F., Canestri, J.A., Bim, C., Silva, M.G.M., Huebner, R., & Pinotti, M. (2017). Quantification and analysis of leaflet flutter on biological prosthetic cardiac valves. Artificial Organs, 41(9), 835–844. [Citations: 24]

  • Caetano, B.C., Santos, N.D.S.A., Hanriot, V.M., Sandoval, O.R., & Huebner, R. (2022). Energy conversion of biogas from livestock manure to electricity energy using a Stirling engine. Energy Conversion and Management: X, 15, 100224. [Citations: 23]

  • Lucas, T.C., Tessarolo, F., Veniero, P., Caola, I., Piccoli, F., Haase, A., Nollo, G., & Huebner, R. (2013). Hemodialysis catheter thrombi: visualization and quantification of microstructures and cellular composition. The Journal of Vascular Access, 14(3), 257–263. [Citations: 20]

  • Soncin, R., Mezêncio, B., Ferreira, J.C., Rodrigues, S.A., Huebner, R., Serrão, J.C., et al. (2017). Determination of a quantitative parameter to evaluate swimming technique based on the maximal tethered swimming test. Sports Biomechanics, 16(2), 248–257. [Citations: 15]

  • Tavano, K.T.A., Botelho, A.M., Douglas-de-Oliveira, D.W., Avila, A.F., & Huebner, R. (2020). Resistance to fracture of intraradicular posts made of biological materials. BMC Oral Health, 20, Article 1-9. [Citations: 14]

  • Lucas, T.C., Oréfice, R.L., Pinotti, M., & Huebner, R. (2009). Surface evaluation of cardiac angiographic catheters after simulated use and reprocessing. Applied Surface Science, 256(5), 1419–1425. [Citations: 14]

  • Baracho, V.S., Chaves, M.E.A., Huebner, R., Oliveira, M.X., et al. (2021). Phototherapy (cluster multi-diode 630 nm and 940 nm) on the healing of pressure injury: a pilot study. Journal of Vascular Nursing, 39(3), 67–75. [Citations: 13]

  • Gomes, C.A., da Costa, R.B.R., Franco, R.L., Valle, R.M., & Huebner, R. (2015). PIV measurements of in-cylinder tumble flow in a motored single cylinder optical research engine. SAE Technical Paper. [Citations: 12]

Conclusion

Dr. Rudolf Huebner’s career is a remarkable blend of scientific rigor, innovation, and societal contribution. His ability to translate fundamental engineering knowledge into real-world medical and environmental solutions reflects the very essence of research excellence. His nomination for the Best Researcher Award is not only well-deserved but stands as a testament to his profound and lasting impact on science and society.

 

Mr. Satyabrata Behera | Electric Vehicle | Young Scientist Award

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Mr. Satyabrata Behera | Electric Vehicle | Young Scientist Award

Mr. Satyabrata Behera , National Institute Of Technology Rourkela , India.

Mr. Satyabrata Behera 🎓 is a passionate researcher in the field of electric vehicle (EV) technology ⚡, currently pursuing his Ph.D. at NIT Rourkela 🏫. With a strong foundation in MATLAB scripting 💻, power electronics, and adaptive control strategies, he focuses on efficient and intelligent EV charging systems 🚗🔌. Satyabrata is adept at PCB design 🛠️, battery management 🔋, and grid-connected systems integration 🌐. He has contributed to cutting-edge research projects under esteemed professors and aims to innovate in power quality optimization and renewable energy integration 🌞⚙️. His commitment to academic excellence and practical design makes him a promising scholar in sustainable technologies 🌿.

Professional Profile

Scopus
Google Scholar

Education & Experience

🎓 Education:

  • 📚 Ph.D. in Electrical Engineering, NIT Rourkela (2022–Present) – CGPA: 9.04/10

  • 📘 M.Tech in Power Electronics & Drives, NIT Sikkim (2020–2022) – CGPA: 7.56/10

  • 🎓 B.Tech in Electrical Engineering, GIET Odisha (2016–2020) – CGPA: 7.50/10

  • 🏫 Higher Secondary, Oscar Science College (2014–2016) – 64%

  • 📖 Secondary Education, Mahu High School (2014) – 72%

🧪 Research Experience:

  • 🔌 Ph.D. Research: Grid-tied Multifunctional EV Charger at NIT Rourkela

  • ⚙️ M.Tech Project: Direct Torque Control Induction Motor for EVs at NIT Sikkim

  • ⚡ B.Tech Project: Piezoelectric Footstep Power Generation

Summary Suitability

As an early-career researcher with a consistent academic record and hands-on innovation, Satyabrata Behera exemplifies the qualities celebrated by the Young Scientist Award—scientific originality, innovation, interdisciplinary impact, and a drive for societal relevance. His research is geared toward developing smart, grid-tied multifunctional EV chargers that facilitate efficient, renewable-integrated charging infrastructure, crucial for the future of e-mobility and green energy systems.

Professional Development

Satyabrata Behera is consistently evolving as a researcher in power electronics and electric mobility 🚘. His development includes hands-on proficiency in MATLAB/Simulink 🧠, hardware prototyping with FPGA and microcontrollers 🔧, and converter PCB design for real-world applications 🖥️. He actively contributes to multidisciplinary energy system designs involving photovoltaic integration 🌞, smart grid technology 🌐, and battery charging strategies 🔋. His participation in collaborative projects at prestigious institutions like NIT Rourkela and NIT Sikkim reflects his commitment to innovation and continuous learning 📚. Satyabrata also sharpens his technical writing ✍️ and presentation skills 📊, preparing for future academic and industry leadership roles.

Research Focus

Satyabrata Behera’s research lies at the intersection of electric vehicle technology, power electronics, and smart grid integration 🔌🚙. He focuses on the development of intelligent, efficient, and multifunctional EV chargers ⚡ that harmonize power between solar PV 🌞, the utility grid 🌐, and battery storage 🔋. His work addresses power quality enhancement, adaptive control techniques, and energy optimization in EV infrastructure. By applying simulation tools like MATLAB and deploying hardware prototypes, he bridges the gap between theoretical models and practical implementation 💡. His interdisciplinary work supports the advancement of green transportation and renewable energy systems 🌱.

Awards & Honors

  • 🎖️ Secured Ph.D. position at NIT Rourkela with high academic standing

  • 🥇 M.Tech research project recognized for EV innovation at NIT Sikkim

  • 📜 Multiple academic excellence awards during undergraduate and postgraduate studies

  • 🏅 Awarded top project presentation in EV Charging System design seminar

  • 💡 Recognized for innovative PCB design during power electronics workshop

Publication Top Notes

  • A Dual Control Strategy for Improved Power Quality in Grid-Tied Off-Board Bidirectional Electric Vehicle Charger
    🔹 Authors: S. Behera, N. Venkata Ramana Naik, A. K. Panda, S. K. Behera
    🔹 Journal: Electric Power Systems Research, Vol. 236, Article 110917
    🔹 Year: 2024
    🔹 Cited by: 9
    🔹 Focus: Power quality improvement in EV chargers using dual control
    🔗 DOI / Publisher Link: [Available on Elsevier]

  • Advanced Off-Board Bidirectional Electric Vehicle Charger with Enhanced Power Quality and Supporting Grid Resilience
    🔹 Authors: S. Behera, N. Venkata Ramana Naik, A. K. Panda, S. K. Behera
    🔹 Journal: Electrical Engineering, Vol. 106, Issue 3, pp. 3231–3242
    🔹 Year: 2024
    🔹 Cited by: 9
    🔹 Focus: Grid-resilient EV charging systems
    🔗 DOI / Publisher Link: [Available on Springer]

  • Design and Implementation of a Domestic Off-Board Multifunctional Bidirectional Electric Vehicle Charger
    🔹 Authors: S. Behera, V. R. Naik N., A. K. Panda, S. K. Behera, L. Senapati, M. Karthik
    🔹 Conference: IECON 2023 – 49th Annual Conference of the IEEE Industrial Electronics Society
    🔹 Year: 2023
    🔹 Cited by: 9
    🔹 Focus: Domestic EV charger design with bidirectional power flow
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

  • SOGI-PLL Based Control Technique for the Single-Phase Single-Stage Grid Connected PV System
    🔹 Authors: S. V. Prakash, S. Behera, M. Karthik
    🔹 Conference: 2023 First International Conference on Cyber Physical Systems, Power and Energy (CPSPE)
    🔹 Year: 2023
    🔹 Cited by: 5
    🔹 Focus: SOGI-PLL method for PV grid integration
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

  • Weibull M-Transform LMS-Based Control Scheme for Grid-Connected Photovoltaic System
    🔹 Authors: M. Karthik, V. R. Naik N., A. K. Panda, S. K. Behera, P. Mohapatra, S. Behera
    🔹 Conference: IECON 2023 – 49th Annual Conference of the IEEE Industrial Electronics Society
    🔹 Year: 2023
    🔹 Cited by: 4
    🔹 Focus: Advanced LMS control for PV system performance
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

  • Design of a Level-3 DC Fast Charging Station for EVs Using a Dual Active Bridge DC-DC Converter
    🔹 Authors: A. K. Jaiswal, A. K. Panda, L. Senapati, S. K. Behera, S. Behera
    🔹 Conference: IECON 2023 – 49th Annual Conference of the IEEE Industrial Electronics Society
    🔹 Year: 2023
    🔹 Cited by: 3
    🔹 Focus: DC fast charger with DAB converter for EVs
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

  • An Enhanced Grid-Tied Off-Board Electric Vehicle Charger with Improved Power Quality Using Unified Control Approach
    🔹 Authors: S. Behera, V. R. Naik, A. K. Panda, S. K. Behera, N. Tiwary
    🔹 Journal: IEEE Transactions on Power Electronics
    🔹 Year: 2025
    🔹 Cited by: 1
    🔹 Focus: Unified control for enhanced power quality in EV chargers
    🔗 DOI / Publisher Link: [Forthcoming / Available on IEEE Xplore]

  • Solar PV Based Boost Multi Level Inverter for Inductive Load
    🔹 Authors: A. Kumar, N. V. R. Naik, M. Karthik, S. Behera
    🔹 Conference: 2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC)
    🔹 Year: 2023
    🔹 Cited by: 1
    🔹 Focus: Multilevel inverter design for solar PV applications
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

  • Dual Active Bridge Converter Based Battery Charging System for Electric Vehicle Applications
    🔹 Authors: C. R. K. Reddy, M. Karthik, S. Behera
    🔹 Conference: 2023 First International Conference on Cyber Physical Systems, Power and Energy (CPSPE)
    🔹 Year: 2023
    🔹 Cited by: 1
    🔹 Focus: Battery charging using DAB topology for EVs
    🔗 DOI / Publisher Link: [Available on IEEE Xplore]

Conclusion

Satyabrata Behera’s accomplishments position him as a rising star in the field of sustainable electrical systems and smart mobility. His early yet impactful research reflects innovative thinking, strong interdisciplinary integration, and a passion for addressing energy efficiency and power quality challenges in EV systems. Given his outstanding technical contributions, dedication to experimental and applied research, and future promise, he is highly deserving of the Young Scientist Award.

Dr. Moh Yaseen | Fluid Dynamics | Best Researcher Award

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Dr. Moh Yaseen | Fluid Dynamics | Best Researcher Award

Dr. Moh Yaseen , Chandigarh University , India.

Dr. Moh Yaseen is an enthusiastic researcher and educator 🧠📚, currently serving as an Assistant Professor at Chandigarh University since August 2023 🏫. He earned his Ph.D. in Mathematics (2019–2022) from G. B. Pant University, focusing on boundary layer hybrid nanofluid flow and heat transfer 🌊🔥. With over 33 research publications, including 26 in SCI/SCIE journals and 11 in Q1-ranked journals 📝📊, his work has received 760 citations 📈. His teaching spans undergraduate and postgraduate levels, and he actively contributes to academic growth through conferences, advanced coursework, and technical proficiency in tools like MATLAB and Mathematica 💻📐.

Professional Profile

Orcid 
Scopus
Google Scholar

Education & Experience 

🎓 Education:

  • 📜 Ph.D. in Mathematics (2019–2022), G. B. Pant University, Pantnagar – Thesis on nanofluid flow and heat transfer

  • 📘 M.Sc. in Mathematics (2017–2019), M. B. Govt. P. G. College, Haldwani – 68%

  • 📗 B.Sc. (PCM) (2014–2017), M. B. Govt. P. G. College, Haldwani

  • 🏫 Senior Secondary (2013), Inter College Bara

  • 🏫 Secondary School (2011), Govt. High School Bakhpur

🧑‍🏫 Experience:

  • 🎓 Assistant Professor, Chandigarh University (Aug 2023 – Present)

  • 📚 Assistant Professor, MIET Meerut (Aug 2022 – July 2023)

  • 🖋️ Teaching Assistant, G. B. Pant University (2020 – 2022)

  • 📘 Subject Matter Expert – Calculus, Chegg India (Since Aug 2020)

Suitability Summary

Dr. Moh Yaseen is a highly dedicated and emerging scholar in the field of Mathematics, with a particular research focus on Boundary Layer Hybrid Nanofluid Flow and Heat Transfer. A strong contender for the Best Researcher Award, Dr. Yaseen has consistently demonstrated research excellence through high-impact publications, technical depth, and academic contribution to applied mathematics and engineering sciences.

Professional Development 

Dr. Moh Yaseen’s professional journey reflects a deep commitment to academic and research excellence 🌟. His participation in prestigious conferences like ISTAM at IIT Kharagpur and i-CONECTS at MNIT Jaipur 🎤📍highlights his collaborative and evolving research approach. Equipped with strong technical tools such as MATLAB, Mathematica, and Microsoft Teams 💻📊, he integrates innovation in both teaching and research. He has taught a wide range of courses from Engineering Mathematics to Linear Algebra 📘, engaging B.Tech., M.Sc., and B.Sc. students effectively. His multidisciplinary skills, scholarly publications, and consistent knowledge-sharing define his professional development path 📈📚.

Research Focus 

Dr. Yaseen’s research lies in the field of applied mathematics with a specialized focus on boundary layer theory, nanofluid dynamics, and heat transfer phenomena 🔥🌊. He employs hybrid nanofluids to solve complex real-world problems involving thermal and fluid behavior in engineering contexts 🛠️🌡️. His expertise spans mathematical modeling, differential equations, and computational methods using MATLAB and Mathematica 💻📐. With a strong publication record in Q1 and Q2 journals and significant citations, his research contributes substantially to fluid mechanics, thermal sciences, and applied numerical methods 📘📊. His work supports advancements in mechanical, aerospace, and energy systems engineering ⚙️🚀.

Awards & Honors 

  • 🧠 Published 33 Research Papers (26 in SCI/SCIE journals, 11 in Q1 journals)

  • 📊 760+ Citations, h-index: 16, i10-index: 21

  • 🗣️ Speaker at ISTAM Conference, IIT Kharagpur, Dec 2021

  • 🎤 Presenter at i-CONECTS Conference, MNIT Jaipur, Nov 2021

  • 👨‍🏫 Teaching Assistantship during Ph.D. at G. B. Pant University

  • 💼 Subject Matter Expert Award, Chegg India (Performance-based recognition)

Publication Top Notes

  1. “Heat transfer in micropolar hybrid nanofluid flow past a vertical plate in the presence of thermal radiation and suction/injection effects”
    Authors: P. Gumber, M. Yaseen, S. K. Rawat, M. Kumar
    Journal: Partial Differential Equations in Applied Mathematics, Volume 5, Article 100240
    Year: 2022
    Citations: 124

  1. “Ternary hybrid nanofluid flow containing gyrotactic microorganisms over three different geometries with Cattaneo–Christov model”
    Authors: M. Yaseen, S. K. Rawat, N. A. Shah, M. Kumar, S. M. Eldin
    Journal: Mathematics, Volume 11, Issue 5, Article 1237
    Year: 2023
    Citations: 93

  1. “Assisting and opposing flow of a MHD hybrid nanofluid flow past a permeable moving surface with heat source/sink and thermal radiation”
    Authors: M. Yaseen, M. Kumar, S. K. Rawat
    Journal: Partial Differential Equations in Applied Mathematics, Volume 4, Article 100168
    Year: 2021
    Citations: 89

  1. “Hybrid Nanofluid Flow over Two Different Geometries with Cattaneo-Christov Heat Flux Model and Heat Generation: A Model with Correlation Coefficient and Probable Error”
    Authors: R. Garia, S. K. Rawat, M. Kumar, M. Yaseen
    Journal: Chinese Journal of Physics
    Year: 2021
    Citations: 81

  1. “Analysis of Heat Transfer of Mono and Hybrid Nanofluid Flow between Two Parallel Plates in a Darcy Porous Medium with Thermal Radiation and Heat Generation/Absorption”
    Authors: M. Yaseen, S. K. Rawat, A. Shafiq, M. Kumar, K. Nonlaopon
    Journal: Symmetry, Volume 14, Issue 9
    Year: 2022
    Citations: 75

  1. “Cattaneo–Christov heat flux model in Darcy–Forchheimer radiative flow of MoS₂–SiO₂/kerosene oil between two parallel rotating disks”
    Authors: M. Yaseen, M. Kumar, S. K. Rawat
    Journal: Journal of Thermal Analysis and Calorimetry
    Year: 2022
    Citations: 72

  1. “Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: Case of artificial neural network”
    Authors: A. Mishra, S. K. Rawat, M. Yaseen, M. Pant
    Journal: Heliyon
    Year: Not specified
    Citations: 68

Conclusion

With an outstanding publication record, high citation metrics, and continued contribution to applied mathematical research and education, Dr. Moh Yaseen exemplifies the qualities of a modern researcher. His pioneering studies in nanofluid flow and heat transfer, paired with a strong teaching portfolio and international exposure through conferences, make him exceptionally suited for the Best Researcher Award. His work is not only theoretically impactful but also holds promising practical applications in thermal systems and engineering simulations.

 

 

Prof. Li Bo | Dynamics | Best Researcher Award

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Prof. Li Bo | Dynamics | Best Researcher Award

Prof. Li Bo , Jiangsu University of Technology , China.

Prof. Li Bo🎓 is an Associate Professor and Master’s Supervisor at the School of Automotive and Transportation Engineering, Jiangsu University of Technology 🚗. He also serves as a Visiting Researcher at Jilin University’s State Key Lab on Automotive Chassis Integration 🧪. A Ph.D. graduate from Nanjing University of Aeronautics and Astronautics ✈️, he focuses on intelligent tire tech, vehicle dynamics, and EV battery thermal management 🔋. He has published 40+ papers 📄, holds 41 invention patents 🧠, and has earned major awards 🏅. His work integrates academia, industry, and innovation to advance vehicle safety and intelligence 🔧🚘.

Professional Profile

Scopus

Education & Experience

  • 🎓 Ph.D. in Mechanical Engineering – Nanjing University of Aeronautics and Astronautics (2015)

  • 🔬 Postdoctoral Research – Southeast University & Tsinghua University Suzhou Automotive Institute

  • 🌏 Visiting Scholar – City University of Hong Kong

  • 🧑‍🏫 Associate Professor & Master’s Supervisor – Jiangsu University of Technology

  • 🧪 Visiting Researcher – State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University

  • 🌟 “333 High-Level Talent” Program Candidate – Jiangsu Province

Summary suitability

Prof. Li Bo is a highly accomplished researcher and educator, well-positioned as a leading candidate for the Best Researcher Award. Born in 1986, he serves as an Associate Professor and master’s supervisor at the School of Automotive and Transportation Engineering, Jiangsu University of Technology. He is also a visiting researcher at the State Key Laboratory of Automotive Chassis Integration and Bionics at Jilin University. With a Ph.D. from Nanjing University of Aeronautics and Astronautics, and postdoctoral experience at Southeast University and Tsinghua University Suzhou Automotive Institute, Li Bo has built a strong foundation in automotive systems research. His work integrates cutting-edge innovation with real-world application, earning him recognition as a top performer in the field.

Professional Development 

Prof. Li Bo has steadily grown as a dynamic researcher and educator in the field of automotive engineering 🚗📘. With extensive involvement in national and provincial R&D programs 🧪📊, he has led over 10 major projects, including those under the National Natural Science Foundation of China 🇨🇳. He actively fosters academia-industry partnerships 🤝 and mentors graduate students on cutting-edge automotive technologies 🧠🎓. As guest editor of the World Electric Vehicle Journal 📰, Li Bo is committed to knowledge dissemination and global collaboration. His career trajectory highlights a strong blend of research, innovation, and educational excellence 📚💡.

Research Focus 

Prof. Li Bo’s research centers around automotive safety and intelligent systems 🧠🚗. His key interests include intelligent tire technology for real-time state estimation 🛞📡, vehicle dynamics and rollover prevention systems 🔄🚘, and battery thermal management in electric vehicles 🔋🌡️. These areas contribute to the development of safer, more efficient, and intelligent transport solutions 💡🚀. Emphasizing interdisciplinary integration and real-world application, he bridges mechanical engineering with electronics, control systems, and thermal sciences ⚙️🔧🧊. His pioneering contributions have set benchmarks in active vehicle safety and sustainability, making a significant impact in the smart mobility revolution 🌍🔌.

Awards & Honors 

  • 🏆 China Mechanical Industry Science and Technology Invention Award

  • 🛡️ National Defense Technology Invention Award

  • 🎖️ Candidate of Jiangsu Province “333 High-Level Talent” Program

  • 📑 Guest Editor – World Electric Vehicle Journal

  • 💰 One patent transferred for RMB 160,000

  • 🧪 Led over 10 national/provincial R&D projects

  • ✍️ Published 40+ academic papers

  • 🧠 Holder of 41 authorized invention patents

Publication Top Notes

  1. Li, B., et al.
    “State-feedback control for singular positive semi-Markov jump time-delay systems with actuator saturation.”
    📝 Journal: Nanjing Li Gong Daxue Xuebao (Journal of Nanjing University of Science and Technology)
    📅 Year: 2025

  1. Li, B., et al.
    “Robust consensus control for multiple Euler–Lagrange systems with external disturbances based on event-triggered communication.”
    📝 Journal: International Journal of Robust and Nonlinear Control
    📅 Year: 2025

  1. Li, B., et al.
    “An enhanced equivalent input disturbance approach to current control of PMSM with periodic and aperiodic disturbances.”
    📝 Journal: Science China Information Sciences
    📅 Year: 2025

Conclusion

Prof. Li Bo’s outstanding contributions to automotive engineering and smart vehicle systems make him a highly deserving recipient of the Best Researcher Award. His work demonstrates excellence in research leadership, innovation, and cross-sector collaboration. Through significant advancements in safety, control, and energy efficiency technologies, Li Bo continues to shape the future of intelligent mobility. His commitment to scientific progress and real-world impact reflects the highest standards of research excellence.

 

Dr. Ying He | Robotic Vision | Best Researcher Award

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Dr. Ying He | Robotic Vision | Best Researcher Award

Dr. Ying He , Qiyuan Lab , China.

Dr. Ying He 🎓 is a Research Assistant at Qiyuan Lab, specializing in robotic vision navigation 🤖, SLAM 📍, and machine learning 🤯. She earned her Ph.D. in Control Science and Engineering from Harbin Institute of Technology in 2018 and completed postdoctoral research at Tsinghua University in 2020 🏫. With over 20 SCI/EI-indexed publications 📚, she was a core contributor to China’s first space robotics project 🚀, which won the 2014 Military Science Progress First-Class Prize 🏆. She continues to lead innovations in real-time navigation, perception systems, and sensor integration for both aerospace and industrial applications 🔧🌐.

Professional Profile

Orcid

Education & Experience 

  • 🎓 Ph.D. in Control Science and Engineering, Harbin Institute of Technology (2018)

  • 🧪 Postdoctoral Research, Tsinghua University (2020)

  • 🔬 Research Assistant, Qiyuan Lab

  • 🤖 Specialized in robotic vision navigation, SLAM, and machine learning

  • 📡 Key contributor to China’s first space robotics project

  • 🏭 Collaborated with Shenzhen Municipality on industrial flowmeter integration

  • ✍️ Published 20 SCI/EI-indexed journal papers

Summary Suitability

Dr. Ying He, currently serving as a Research Assistant at Qiyuan Lab, stands out as an exceptional candidate for the Best Researcher Award. With a Ph.D. in Control Science and Engineering from Harbin Institute of Technology and postdoctoral experience at Tsinghua University, she brings a robust academic foundation to her groundbreaking work in robotic vision navigation and SLAM. As a pivotal contributor to China’s first space robotics project—recognized with the 2014 Military Science Progress First Prize—Dr. He has bridged theoretical innovation and real-world engineering. Her impactful research, involving 16 completed projects and 20 high-quality publications, demonstrates her dedication to advancing space robotics, intelligent navigation, and machine perception.

Professional Development

Dr. Ying He has led and contributed to 16 cutting-edge R&D projects 🛠️, including space robotics, machine perception, and sensor integration. She has published extensively in prestigious journals like Acta Astronautica and IEEE Sensors Journal 📄, with her highest-impact paper reaching an IF of 4.3 🌟. She also holds 9 patents related to robotic systems 🧾, authored a technical book 📘, and served as a consultant on 16 industry-based projects 🏗️. Her practical solutions, especially in sensor data fusion and point-cloud-based SLAM, bridge academic theory and real-world engineering 🧠⚙️.

Research Focus 

Dr. Ying He’s research revolves around intelligent robotic perception systems 🤖, emphasizing robotic vision navigation, 3D reconstruction 🧱, and simultaneous localization and mapping (SLAM) 📍. Her expertise integrates computer vision 📸 with machine learning algorithms 🤯 for enhanced spatial awareness and decision-making in autonomous systems. She has significantly contributed to China’s space robotics program 🚀, and her innovations in point-cloud registration and image processing 🧠 have influenced both academic advancements and industrial applications. Her current focus also includes data-driven sensor fusion and DCS integration in factory automation ⚙️🏭, strengthening her position in AI-enhanced control systems 🤖📊.

Awards and Honors

  • 🥇 First-Class Prize, 2014 Military Science Progress Award

  • 📘 Book Author (ISBN-published technical book)

  • 📜 20 SCI/EI-indexed Publications, including 2 CAS Tier-1 TOP journals and 3 Q1 journals

  • 💡 9 Patents, published or under process

  • 🏆 Recognized contributor in China’s first space robot project

  • 🏗️ 16 Industrial/Consultancy Projects delivered successfully

  • 🎓 Member, Chinese Association for Artificial Intelligence

Publication Top Notes

  1. Development and Application of a Low-Cost Laser Line-Based 3D Scanner for Digitizing Biology Educational Tools in Secondary Schools
    🗓️ 2025
    📘 7th International Conference on Computer Science and Technologies in Education
    📄 Type: Journal Article
    👩‍🔬 Contributor: Ying He

  2. Line-Structured Light-Based Three-Dimensional Reconstruction Measurement System with an Improved Scanning-Direction Calibration Method
    🗓️ 2025-06-29
    📘 Remote Sensing
    📄 Type: Journal Article
    👩‍🔬 Contributor: Ying He

  3. Pose Tracking of Spacecraft Based on Point Cloud DCA Features
    🗓️ 2022-03-15
    📘 IEEE Sensors Journal
    🔗 DOI: 10.1109/jsen.2022.3148390
    📄 ISSN: 1530-437X, 1558-1748, 2379-9153
    👩‍🔬 Contributors: Ying He, Yang Jun, Kejiang Xiao, Chao Sun, Jia Chen

  4. 深度学习在视频对象分割中的应用与展望 (Application and Prospects of Deep Learning in Video Object Segmentation)
    🗓️ 2021
    📘 计算机学报 (Journal of Computer Research and Development)
    🔗 DOI: 10.11897/sp.j.1016.2021.00609
    👩‍🔬 Contributors: 陈加, 陈亚松, 李伟浩, 田元, 刘智, 何英 (Ying He)

  5. ICP Registration with DCA Descriptor for 3D Point Clouds
    🗓️ 2021-06-21
    📘 Optics Express
    🔗 DOI: 10.1364/oe.425622
    📄 ISSN: 1094-4087
    👩‍🔬 Contributors: Ying He, Jun Yang, Xingming Hou, Shiyan Pang, Jia Chen

  6. ICP Registration Based on 3D Point Clouds Feature Descriptor
    🗓️ 2021-01-27
    📘 Twelfth International Conference on Graphics and Image Processing (ICGIP 2020)
    🔗 DOI: 10.1117/12.2589460
    👩‍🔬 Contributors: Ying He, Jun Yang, Zhiheng Li, Bin Liang

  7. Multi-View Triangulation: Systematic Comparison and an Improved Method
    🗓️ 2020
    📘 IEEE Access
    🔗 DOI: 10.1109/access.2020.2969082
    📄 ISSN: 2169-3536
    👩‍🔬 Contributors: Jia Chen, Dongli Wu, Peng Song, Fuqin Deng, Ying He, Shiyan Pang

  8. BRoPH: An Efficient and Compact Binary Descriptor for 3D Point Clouds
    🗓️ 2018-04
    📘 Pattern Recognition
    🔗 DOI: 10.1016/j.patcog.2017.11.029
    📄 ISSN: 0031-3203
    👩‍🔬 Contributors: Yu Zou, Xueqian Wang, Tao Zhang, Bin Liang, Jingyan Song, Houde Liu, Ying He

Conclusion

With a proven track record in high-impact research, applied innovation, and translational science, Dr. Ying He has made significant strides in advancing intelligent robotic systems and educational technology. Her blend of academic excellence, real-world engineering solutions, and dedication to knowledge dissemination makes her exceptionally well-suited for the Best Researcher Award. Recognizing her contributions would honor not only her achievements but also the transformative power of interdisciplinary research in solving complex global challenges.