Ling Huang | Emerging Research Trends | Best Researcher Award

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Prof. Ling Huang | Emerging Research Trends | Best Researcher Award

Nanjing Tech University | China

PUBLICATION PROFILE

Scopus

👨‍🔬 Summary

Prof. Ling Huang is a distinguished professor at Xinjiang University in China, specializing in Inorganic Chemistry, Rare Earth Chemistry, and Functional Materials. With over two decades of research and academic experience, his work focuses on areas such as rare earth luminescence, defect engineering, and advanced material applications. His expertise has led him to significant accolades, including being named a Fellow of the Royal Society of Chemistry (FRSC). Prof. Huang has also mentored numerous graduate students and postdoctoral researchers, leaving a lasting impact on the scientific community.

🎓 Education

Prof. Huang completed his Ph.D. in Inorganic Chemistry at Nanjing University (1996 – 2001) in China, following his B.Sc. in Chemistry from Jiangsu Normal University (1992 – 1996). His academic journey laid the foundation for his future research in chemistry and materials science.

💼 Professional Experience

Prof. Huang has held several prestigious positions throughout his career. He is currently a Professor at Xinjiang University (2021 – Present). Prior to this, he served as a professor at Nanjing Tech University (2012 – 2021), and as an associate professor at Nanyang Technological University in Singapore (2009 – 2012). His industry experience includes working as a Senior Research Scientist at Corning Inc., USA (2008 – 2009). Additionally, he has been a Post-Doctoral Research Associate at Northwestern University, Florida State University, and UC Berkeley, USA, where he honed his expertise in nanomaterials and rare earth chemistry.

📚 Academic Citations

Prof. Huang has authored over 180 publications, contributing significantly to the fields of luminescence and functional materials. Notable papers include “Abnormal But Rational: Luminescence Anti-Thermal Quenching in ScPO4:Er” and “Atomic Pr-Stabilized Pt Nanoclusters Accelerate Alkaline Hydrogen Evolution”, both of which are currently under review in prestigious journals such as Nature Communications and Angewandte Chemie.

🛠️ Technical Skills

Prof. Huang’s technical expertise covers a broad range of scientific fields. He is skilled in rare earth luminescence (upconversion/downshifting, anti-thermal quenching), material synthesis (creating functional ceramics, glasses, and solid-state electrolytes), and defect engineering (optimizing properties of materials through bandgap engineering and structural manipulation).

📖 Teaching Experience

Throughout his academic career, Prof. Huang has taught various courses at both the undergraduate and graduate levels. At Nanjing Tech University, he has taught courses such as Inorganic Chemistry, Luminescent Materials, and Advanced Nanomaterials (2014 – Present). Additionally, at Nanyang Technological University, he taught Bioelectronics, Chemistry I & II, and Biomedical Nanotechnology (2009 – 2012), shaping the education of future scientists and engineers.

🔬 Research Interests

Prof. Huang’s research interests lie at the intersection of rare earth chemistry and functional materials. He investigates luminescent materials, focusing on anti-thermal quenching and chiral luminescence. His research extends to functional materials, including solid-state fuel cells and optical devices, and solid-state chemistry, where he explores defect engineering to enhance the properties of materials for a variety of applications.

📚 Top Notes Publications 

Anti-thermal quenching upconversion luminescence of Cr3+ in Sc2(WO4)3:Yb/Cr

    • Authors: Yang Wei, Shuaihao Wu, Ran Chen, Yanqing Lu, Ling Huang

    • Journal: Nano Research

    • Year: 2025

Ultra-low temperature selective catalytic reduction of NOx into N2 by micron spherical CeMnOx in high-humidity atmospheres containing SO2

    • Authors: Xixi Chen, Peng Gao, Ling Huang, Zonghang Liu, Yuesong Shen

    • Journal: Applied Catalysis B: Environmental

    • Year: 2025

Orderly Stacked “Tile” Architecture with Single-Atom Iron Boosts Oxygen Reduction in Liquid and Solid-State Zn–Air Batteries

    • Authors: Bin Zhang, Jingshuang Dang, Hongyi Li, Ling Huang, Jingui Duan

    • Journal: Advanced Functional Materials

    • Year: 2025

RbB7O10(OH)2 and NaB11O16(OH)2: alkali metal hydroxyborates with two-dimensional layered structures and large birefringence

    • Authors: Yujing Zheng, Ke Li, Ling Huang, Fangfang Zhang

    • Journal: Dalton Transactions

    • Year: 2025

Regulating the Dynamics of Interpenetrated Porous Frameworks for Inverse C2H6/C2H4 Separation at Elevated Temperature

    • Authors: Kui Tan, Jingui Duan, Ling Huang

    • Journal: Angewandte Chemie International Edition in English

    • Year: 2025

Yuhuan Fei | Object Detection | Best Researcher Award

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Assist Prof Dr. Yuhuan Fei | Object Detection | Best Researcher Award

Qufu Normal University | China

PUBLICATION PROFILE

Scopus

👤 Summary

Dr. Yuhuan Fei is an Associate Professor at Qufu Normal University, China, with a strong background in Machine Learning, Intelligent Manufacturing, and Ceramic Cutting Tools. He holds a Ph.D. in Mechanical Manufacturing and Automation and focuses on the development and performance of advanced ceramic cutting tools, material microstructure, and mechanical properties. Dr. Fei has made substantial contributions to scientific research, including numerous journal publications, patents, and participation in national research projects.

🎓 Education

Dr. Fei completed his Ph.D. in Mechanical Manufacturing and Automation at Shandong University in 2012, with a thesis on fabrication and cutting performance of Al2O3-TiC-TiN ceramic cutting tools. Prior to that, he earned a Master’s degree in Materials Processing Engineering from Northeastern University in 2007, focusing on the phase analysis of Ti-700 alloy. He also holds a Bachelor’s degree in Material Forming and Controlling Engineering, completed in 2004 at Northeastern University.

🧑‍🏫 Professional Experience

Dr. Fei has held various academic and professional positions. He served as a Visiting Scholar at McGill University from 2017 to 2018. Since 2013, he has been an Associate Professor at Qufu Normal University in Shandong Province. Before that, he worked as a Patent Examiner at the Patent Examination Cooperation Center (SIPO) in Jiangsu Province, focusing on intellectual property evaluations related to material sciences.

📚 Academic Citations

Dr. Fei has authored numerous papers in high-impact journals. Some of his most cited works include those published in the Journal of Real-Time Image Processing (2025), Journal of Ceramic Science and Technology (2021, 2019), and Ceramics International (2014). His research also appears in Materials Science and Engineering A, Rare Metal Materials and Engineering, and several other prestigious journals, significantly contributing to the fields of material science and engineering.

🛠️ Technical Skills

Dr. Fei’s technical expertise includes:

  • Advanced ceramic material development and cutting tool fabrication

  • Phase composition analysis and microstructure characterization of materials

  • Machine learning applications in intelligent manufacturing systems

  • Patent analysis and intellectual property research

👨‍🏫 Teaching Experience

Dr. Fei has an active teaching role at Qufu Normal University, where he imparts knowledge on material science and engineering, particularly focusing on ceramic cutting tools and intelligent manufacturing. He supervises graduate students, guiding them through research projects and theses, while also leading research seminars and educational workshops.

🔬 Research Interests

Dr. Fei’s primary research interests include:

  • Development of ceramic cutting tools for advanced manufacturing

  • Study of material processing techniques and phase transitions in cutting materials

  • Application of machine learning to optimize manufacturing processes

  • Investigation of mechanical properties and microstructural characteristics of ceramics

📚 Top Notes Publications 

The Influence of Ni Addition on the Microstructures and Mechanical Properties of Al2O3–TiN–TiC Ceramic Materials

    • Authors: Yuhuan Fei, Chuanzhen Huang, Hanlian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2018

Study on the Cutting Performance of Al2O3-TiC-TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, Chuan Zhen Huang, Han Lian Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2016

On the Formation Mechanisms of Fine Granular Area (FGA) on the Fracture Surface for High Strength Steels in the VHCF Regime

    • Authors: Yong-De Li, Limin Zhang, Yuhuan Fei, Mei-Xia Li

    • Journal: Not mentioned in the provided text

    • Year: 2015

Mechanical Properties of Al2O3–TiC–TiN Ceramic Tool Materials

    • Authors: Yuhuan Fei, C.Z. Huang, H.L. Liu, Bin Zou

    • Journal: Not mentioned in the provided text

    • Year: 2014

Establishment of the Low Defect Ceramic Cutting Tool Database

    • Authors: Chang Bin Zou, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2013

The Effects of Sintering Process on Microstructure and Mechanical Properties of TiB2-Ti(C0.5N0.5)-WC Composite Tool Materials

    • Authors: Yan Zhao, Chuan Zhen Huang, Bin Zou, Jun Wang

    • Journal: Not mentioned in the provided text

    • Year: 2012

 

Sara Sadeghi | Structure | Best Researcher Award

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Mrs. Sara Sadeghi | Structure | Best Researcher Award

Isfahan University of Art | Iran

PUBLICATION PROFILE

Google Scholar

👩‍🎓 Education

Mrs. Sara Sadeghi is currently a Ph.D. Candidate in Architectural Engineering at the Art University of Isfahan, with a stellar GPA of 3.92/4.00. She completed her Master’s in Architectural Engineering from Iran University of Science and Technology (IUST), where she graduated with a GPA of 3.75/4.00. Additionally, she earned her Bachelor’s in Architectural Engineering from Ferdowsi University of Mashhad, with an impressive GPA of 3.87/4.00.

🏆 Awards & Achievements

Sara has received several prestigious scholarships throughout her academic journey, including full scholarships from Art University of Isfahan and Iran University of Science and Technology. Notably, she was granted straight admission into the Master’s program at IUST and received the top student prize at Ferdowsi University, earning her a spot in the “Talented Students’ Community.”

📑 Licensure & Certification

Sara became a certified Professional Engineer (P.E.) for Design and Construction Supervision in Khorasan Razavi, Iran, in 2021. This licensure showcases her professional capabilities and commitment to the architectural engineering field.

📚 Publications & Presentations

Sara has made significant contributions to architectural engineering research with multiple publications. Some of her notable works include:

  • “Quantitative Assessment Model for Spatial and Functional Performances of Structures Using Fuzzy Logic” (2025)

  • “Assessment of Qualitative Performances of Structures in Architecture” (2024)

  • “Analysis of Aesthetics Role in Iranian Structural Architecture” (2018).
    Her research spans structural performance, aesthetics in architecture, and the application of fuzzy logic.

💼 Professional Experience

Sara’s professional journey is as impressive as her academic one. She currently serves as an instructor and teaching assistant at Ferdowsi University of Mashhad and Art University of Isfahan, where she teaches architectural design and theory courses. She has also worked as an architectural designer for Ziba Saze Toos Gam Co. in Mashhad and as an R&D Manager at Royan Hooshmand science-based company, where she contributed to the development of precast construction methods.

📊 Research & Projects

Sara is deeply involved in research, particularly in the “Numerical Analysis of Structural Performances” at Art University of Isfahan. She has also contributed to architectural design and development projects, such as her master’s thesis on “Cultural Center Design” and her bachelor’s thesis on “Villa Design with the Approach of Green Architecture.”

💡 Trainings & Workshops

Sara continuously enhances her skills through specialized training programs and workshops. She completed courses in Python Programming, 3D Modeling with Rhino and Python, and Renewable Energy and Green Building Entrepreneurship. She also attended workshops in Parametric Architecture and Sustainable Architecture.

📚 Top Notes Publications 

An analysis of structural aesthetics in architecture case study: Taj-Ol-Molk Dome, Jāmeh Mosque of Isfahan, Iran

    • Authors: S Sadeqi, A Ekhlassi, S Norouzian-Maleki

    • Journal: SN Applied Sciences

    • Year: 2019

Analysis of Architectural Aesthetics Role in Iranian Houses; Case Study: Mashhad Historical Houses

    • Authors: S Sadeghi, A Ekhlassi, H Kamelnia

    • Journal: JOURNAL OF RESEARCHES IN ISLAMIC ARCHITECTURE

    • Year: 2019

Quantitative assessment model for spatial and functional performances of structures using fuzzy logic, case studies: Spaceframe structures

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia, M Hoseinpour Jajarm

    • Journal: Structures

    • Year: 2025

Assessing Structural Performance: A Combined Qualitative and Quantitative Approaches Using Multi‑Criteria Decision‑Making Method

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia

    • Journal: The Institution of Engineers (India)

    • Year: 2024

Assessment of Qualitative Performances of Structures in Architecture, Case Studies: Space Frame Structures in Tehran, Iran

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia, M Hoseinpour Jajarm

    • Journal: The Institution of Engineers (India)

    • Year: 2024

Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

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Assoc Prof Dr. Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

University of Klagenfurt | Austria

Author Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Assoc. Prof. Dr. Dr.-Ing. Jean Chamberlain Chedjou’s academic journey began with a strong foundation in electronics and physics. After earning his Bachelor’s degree in Physics from the University of Yaoundé, Cameroon, in 1990, he pursued a Bachelor’s Honors degree in Electronics, followed by a Master’s-equivalent DEA in Electronics. His passion for research led him to further his studies, culminating in a Doctorate (Doctorat de troisème cyle) in Electronics at the University of Yaoundé in 1999. Chedjou continued to expand his academic knowledge, attaining a Dr.-Ing. Degree in Electrical Engineering and Information Technology from Leibniz University of Hanover, Germany, in 2004. These early years laid the groundwork for his later contributions in systems optimization, dynamic systems modeling, and traffic simulation.

PROFESSIONAL ENDEAVORS 💼

Dr. Chedjou’s professional journey reflects a commitment to both teaching and research excellence. He started his academic career as a part-time Assistant Lecturer at the University of Yaoundé, followed by various faculty roles at the University of Dschang in Cameroon. His research experience expanded internationally through postdoctoral positions at Université Blaise Pascal, France, and the Abdus Salam International Centre for Theoretical Physics, Italy. These roles were instrumental in shaping his research focus on neural networks, simulation techniques, and dynamic systems modeling. Since 2009, Dr. Chedjou has served as an Associate Professor at Alpen-Adria-Universität Klagenfurt, Austria, where he has continued to excel in research and teaching.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Chedjou’s research is deeply centered on optimization in graph networks, particularly the development of neuro-processor solvers aimed at ultra-fast solutions for classical graph theoretical problems such as the Shortest Path Problem (SPP), Traveling Salesman Problem (TSP), and Minimum Spanning Tree (MST). He integrates his expertise in neural networks and cellular neural networks to advance simulation and optimization techniques, applying them to real-world challenges in systems simulation and nonlinear dynamics.

His work also extends to traffic modeling, electronic circuit design, and the analog computation of stiff differential equations, where his innovative approaches enhance the efficiency of simulation models. Moreover, Dr. Chedjou investigates the nonlinear dynamics of complex systems, addressing equilibrium states, chaos detection, and stability analysis, furthering understanding in fields like system theory, engineering, and telecommunications.

IMPACT AND INFLUENCE 🌍

Dr. Chedjou’s contributions have significantly impacted the academic and research communities, particularly in the areas of transportation informatics and systems modeling. His research in ultra-fast solvers and neurocomputing has paved the way for more efficient solutions to complex optimization problems. As an Associate Professor at Alpen-Adria-Universität Klagenfurt, his courses on methods of transportation informatics and simulation techniques have inspired countless students to explore these domains. His role as a mentor has helped shape future leaders in the field of systems technologies.

Additionally, Dr. Chedjou’s involvement in global research collaborations—such as his fellowships with the Abdus Salam International Centre for Theoretical Physics—demonstrates his commitment to international knowledge exchange and the advancement of applied sciences.

ACADEMIC CITATIONS AND RECOGNITIONS 🏅

Dr. Chedjou’s academic contributions are well-recognized globally. His innovative work in graph theory and simulation has earned him a place among respected researchers in his field. His commitment to excellence in teaching was highlighted in 2013 when he was honored with the Best Lecturer award at the University of Klagenfurt, a testament to his ability to convey complex concepts effectively and engage students in meaningful learning.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Chedjou’s legacy is defined by his pioneering research and his dedication to advancing the fields of optimization, dynamic systems, and transportation informatics. His current focus on neurocomputing for real-time simulation and optimization of nonlinear differential equations promises to influence various industries, from transportation to telecommunications.

Looking ahead, Dr. Chedjou continues to push the boundaries of systems simulation and modeling. His work on neuro-processor solvers and cellular neural networks is poised to revolutionize problem-solving strategies in complex networks, contributing to faster and more scalable solutions for modern engineering challenges. As a mentor, researcher, and academic, Dr. Chedjou’s future contributions will undoubtedly continue to inspire and shape the next generation of innovators and scholars.

📑 NOTABLE PUBLICATIONS 

Article: Impact of source (drain) doping profiles and channel doping level on self-heating effect in FinFET

Authors: Atamuratov, A.E., Jabbarova, B.O., Khalilloev, M.M., Blugan, G., Saidov, K.
Journal: Micro and Nanostructures
Year: 2025

Article: A special memristive diode-bridge-based hyperchaotic hyperjerk autonomous circuit with three positive Lyapunov exponents

Authors: Rong, X., Chedjou, J.C., Yu, X., Jiang, D., Kengne, J.
Journal: Chaos, Solitons and Fractals
Year: 2024

Article: Complex dynamic behaviors in a small network of three ring coupled Rayleigh-Duffing oscillators: Theoretical study and circuit simulation

Authors: Kamga Fogue, S.M., Kana Kemgang, L., Kengne, J., Chedjou, J.C.
Journal: International Journal of Non-Linear Mechanics
Year: 2024

Article: Coupling Induced Dynamics in a Chain-Network of Four Two-Well Duffing Oscillators: Theoretical Analysis and Microcontroller-Based Experiments

Authors: Venkatesh, J., Karthikeyan, A., Chedjou, J.C., Jacques, K., Karthikeyan, R.
Journal: Journal of Vibration Engineering and Technologies
Year: 2024

Article: A unique self-driven 5D hyperjerk circuit with hyperbolic sine function: Hyperchaos with three positive exponents, complex transient behavior and coexisting attractors

Authors: Vivekanandhan, G., Chedjou, J.C., Jacques, K., Rajagopal, K.
Journal: Chaos, Solitons and Fractals
Year: 2024