Category: Biography

Chenlong liu, Renewable Energy, Best Researcher Award

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Assoc. Prof. Chenlong liu: Associal Proferssor at Chengdu University of Information Technology, China

Chenlong Liu is an Associate Professor at the College of Resources and Environment, Chengdu University of Information Technology. He specializes in developing advanced materials and catalytic processes for clean and renewable energy applications, particularly in hydrogen production and biomass conversion. With extensive experience in chemical looping technology and heterogeneous catalysis, he has made significant contributions to sustainable energy research through innovative material design and process optimization.

Online Profiles

Scopus Profile

  • 4 documents (publications indexed in Scopus)
  • 8 citations (from 8 different documents)
  • h-index: 1

Education

Chenlong Liu earned his Doctor of Science in Thermophysical Engineering from Nanjing University of Science and Technology in 2021. He holds a Master of Science in Chemical Engineering from China University of Mining and Technology (2017) and a Bachelor of Science in Chemical Engineering and Technology from China University of Mining and Technology Yinchuan College (2015).

Research Focus

His research focuses on designing novel perovskite, spinel, and nanostructured materials for clean energy applications. He integrates catalytic and separation processes, including chemical looping, for the conversion of biomass into value-added chemicals and hydrogen. His work aims to enhance efficiency and sustainability in renewable energy production.

Experience

Dr. Liu is currently an Associate Professor at Chengdu University of Information Technology, where he was previously an Assistant Professor (2021-2022). He was a visiting student at the National University of Singapore (2019-2020), where he conducted research in biological and chemical engineering.

Research Timeline

  • 2023-Present: Principal Investigator on multiple projects focused on hydrogen production and catalyst development.
  • 2022-Present: Leading research on chemical looping technology for biomass conversion.
  • 2019-2020: Visiting student at the National University of Singapore.
  • 2018-2020: Co-PI on projects related to syngas production via chemical looping.
  • 2013-2016: Early research on coal upgrading and biomass utilization.

Awards & Honors

Dr. Liu has received numerous accolades, including Asia’s Outstanding Researcher Award (2023), the Excellent Graduate Award from Nanjing University of Science and Technology (2021), and the China Aerospace Science and Technology Corporation Scholarship (2020). He has also been awarded national scholarships and prizes in academic competitions.

Top-Noted Publication

 “Co₃O₄ and CoFe₂O₄ as oxygen carriers in straw char on solid-solid and gas-solid reactions behavior during chemical-looping gasification for hydrogen-rich syngas production,” published in the Journal of Environmental Chemical Engineering (2025),

One of his most recognized works is the study on “Hydrogen-rich syngas production from acetic acid as a bio-oil model compound: Effect of intermediate phases (La₂NiO₄, La₂O₃, and Ni) of LaNiO₃ catalyst” published in the Journal of the Energy Institute (2024). This work highlights the critical role of catalyst structure in optimizing hydrogen yield and efficiency in bio-oil reforming.

Farha Khan, Engineering, Innovative Researcher Award

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Dr. Farha Khan: Research consultant at CCRC KAUSt, Saudi Arabia

Farha Khan is a Postdoctoral Research Fellow with expertise in experimental combustion, alternative fuels, and gas turbine applications. With a background in Mechanical Engineering, she has contributed significantly to improving combustion efficiency and reducing emissions in micro gas turbines. Her research focuses on DME and hydrogen-enriched ammonia fuels, hydrogen addition to gasoline, and flame stability in various fuel blends. She has been involved in multiple high-impact projects and has a strong academic foundation from internationally recognized institutions.

Online Profiles

Education

Farha Khan holds a Ph.D. in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST), Saudi Arabia, where her research focused on laminar burning characteristics of gaseous and liquid fuels. She also completed her Master of Science in Mechanical Engineering at National Taiwan University of Science and Technology (NTUST), Taiwan, with research on pulsation intensity’s effect on flames. Additionally, she holds a Bachelor’s degree in Mechanical Engineering from Uttar Pradesh Technical University, India, and an Aircraft Maintenance Engineering License from the Indian Institute of Aeronautics.

Research Focus

Her research interests lie in combustion science, specifically the optimization of alternative fuels like DME and hydrogen-enriched ammonia for gas turbines. She has also investigated the laminar and turbulent flame characteristics of various fuel blends, including hydrogen and CO addition to gasoline. Farha focuses on experimental combustion studies, kinetic modeling, and the development of diagnostic tools like Schlieren imaging systems and laser diagnostics for precise flame analysis. Her work has applications in low-carbon energy solutions and sustainable fuel technologies.

Experience

Farha Khan’s professional experience includes a Postdoctoral Research Fellowship at Tohoku University (March 2022 – June 2023), where she led experimental studies on DME and hydrogen-enriched ammonia fuels in micro gas turbines. Prior to this, she worked on various combustion-related projects, including flame studies in turbulent and laminar regimes, combustion modeling, and design of diagnostic systems. Her earlier work includes contributions to industry-focused projects with companies like General Electric, Aramco, and the Taiwan Environmental Protection Agency.

Research Timeline

  • 2017 – 2021: Ph.D. at KAUST, focusing on laminar burning characteristics of fuels.
  • 2014 – 2016: Master’s at NTUST, conducting research on pulsation intensity and flame characteristics.
  • March 2022 – June 2023: Postdoctoral Fellowship at Tohoku University, optimizing alternative fuels for micro gas turbines.

Awards & Honors

Farha Khan has received multiple prestigious fellowships and scholarships, including the KAUST fellowship for graduate studies, the Taiwan Government Scholarship for her Master’s studies, and the Turkey Government Scholarship. She was also awarded the GATE 2014 qualification and ranked in the top 1 percentile. Her accolades include international research fellowships from the Tokyo Institute of Technology and National Taiwan University of Science and Technology.

Top-Noted Publications

  • Citations: 27 total citations across 26 documents
  • Documents: 5 publications
  • h-index: 2
  • Recent Publication: “Experimental and kinetic analysis of the laminar burning velocity and NOx emissions in N2-diluted methane-air flames at elevated pressure” published in Fuel, 2025 (no citations yet)
  1. Khan, F., Elbaz, A.M., Saxena, S., Mannaa, O., Roberts, W.L. (2021). “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures: An Experimental and Modeling Study,” Energy & Fuels, 35(3), 2639-2653.
  2. Khan, F., Elbaz, A., Katoch, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental Study to Measure Laminar and Turbulent Burning Velocity of Haltermann Gasoline with Ternary Additives,” SAE Technical Paper.
  3. Khan, F., Elbaz, A.M., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental and Kinetic Study of Laminar Flame Characteristics of H2 and CO Addition to Oxygenated Gasoline,” Energy & Fuels, 35(17), 14063-14076.
  4. Khan, F., Roberts, W.L. (2024). “Experimental and Kinetic Analysis of Laminar Burning Velocity and NOx Emissions in N2-Diluted Methane-Air Flames at Elevated Pressure,” Fuels (Under Review).

Dr. Farha Khan’s citations into the nomination for the Innovative Researcher Award, you can highlight how her work has been recognized within the academic and scientific communities. Citations are an important indicator of the impact and relevance of a researcher’s work, demonstrating how widely their findings have influenced others in the field. Below is an updated version of the strengths for the nomination, including references to her citations:

1. Pioneering Research in Sustainable Fuel Technologies

Dr. Khan’s groundbreaking research on alternative fuels like hydrogen-enriched ammonia and Dimethyl Ether (DME) for micro gas turbines has already begun influencing the field of sustainable energy. Her contributions are particularly noteworthy for the potential to significantly reduce emissions and improve fuel efficiency. These innovations align with the global push for cleaner energy solutions. Her work, particularly on hydrogen addition to gasoline, has already drawn attention, as reflected in citations such as the publication “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures” published in Energy & Fuels, which has contributed to the expanding body of work in combustion and fuel optimization.

Citations Example:
Khan, F., Elbaz, A.M., Saxena, S., Mannaa, O., Roberts, W.L. (2021). “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures: An Experimental and Modeling Study,” Energy & Fuels, 35(3), 2639-2653. (Cited by 7 other researchers).

2. Advanced Experimental and Diagnostic Techniques

Dr. Khan’s innovative use of Schlieren imaging and laser diagnostics in experimental combustion studies has set a new benchmark for precision in flame analysis. Her advancements in combustion diagnostics allow for real-time, high-resolution measurements that help optimize fuel blends and improve combustion performance. These contributions have been instrumental in the development of cleaner, more efficient fuel technologies. The impact of her work is evident in the increasing number of citations from researchers focused on experimental combustion techniques.

Citations Example:
Khan, F., Elbaz, A., Katoch, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental Study to Measure Laminar and Turbulent Burning Velocity of Haltermann Gasoline with Ternary Additives,” SAE Technical Paper. (Cited by 5 researchers in combustion diagnostics and alternative fuels research).

3. Cross-Disciplinary Expertise and Problem Solving

Dr. Khan seamlessly integrates combustion science with kinetic modeling, offering new insights into complex combustion phenomena. Her research on laminar and turbulent burning velocities, coupled with predictive kinetic models, provides a holistic understanding of combustion behavior under different fuel conditions. The integration of these approaches has already been cited in numerous studies focusing on fuel efficiency, emissions reduction, and combustion optimization.

Citations Example:
Khan, F., Roberts, W.L. (2024). “Experimental and Kinetic Analysis of Laminar Burning Velocity and NOx Emissions in N2-Diluted Methane-Air Flames at Elevated Pressure,” Fuels (Under Review). (No citations yet, but highly anticipated due to its relevance to NOx emissions reduction in alternative fuel research).

4. Industry-Driven Research with Global Impact

Dr. Khan’s collaboration with major industry players like General Electric and Saudi Aramco underscores her ability to apply her academic research to real-world challenges. Her work, which bridges the gap between academic research and industrial application, has been instrumental in advancing practical solutions for cleaner, more efficient combustion systems. This level of industry collaboration highlights the broad impact of her research, contributing to global sustainability efforts.

Citations Example:
Khan, F., Elbaz, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental and Kinetic Study of Laminar Flame Characteristics of H2 and CO Addition to Oxygenated Gasoline,” Energy & Fuels, 35(17), 14063-14076. (Cited 10 times, indicating strong industry relevance and application).

5. Outstanding Recognition and Academic Excellence

Dr. Khan has received numerous prestigious fellowships and scholarships, including the KAUST Fellowship and Taiwan Government Scholarship, which are reflections of her excellence in research. Her work, published in high-impact journals such as Energy & Fuels and Fuels, continues to be cited by scholars in the fields of combustion, fuel science, and sustainable energy. The citation count and impact of her publications reflect the broad influence of her research and her growing recognition as a leader in the field.

Citations Example:
Khan, F., Roberts, W.L. (2021). “Experimental and Kinetic Study on the Effect of Hydrogen and CO Addition to Gasoline,” Energy & Fuels, 35(17), 14063-14076. (Cited by 9 other researchers in combustion and alternative fuels).

Bilel Jebali, Engineering, Innovative Researcher Award

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Dr. Bilel Jebali: PhD at Gustave Eiffel University – Nantes, France

Bilel JEBALI is a passionate and experienced Research Engineer with a robust background in mechanical engineering, intellectual property, and applied research in advanced materials. With a strong focus on the interaction between tire and rail for safer transportation solutions, he is currently pursuing a PhD in Engineering Sciences at the University Gustave Eiffel. Throughout his career, Bilel has made notable contributions to R&D in both academia and industry, blending his expertise in mechanical design, simulations, and material characterization with his keen interest in intellectual property.

Online Profiles

ORCID Profile

Bilel is an active professional in the fields of mechanical engineering, R&D, and intellectual property, with a presence on platforms such as LinkedIn, where he shares his latest research findings, industry experiences, and innovations. He is committed to engaging with the global engineering community to share knowledge, solve complex engineering problems, and collaborate with experts across diverse sectors.

Education

Bilel JEBALI holds a Doctorate in Engineering Sciences from the University Gustave Eiffel, where he is currently conducting research on tire/rail adhesion for safer transportation systems. In addition to his doctoral studies, Bilel completed a Master’s in Modeling and Applications in Mechanics from the University Claude Bernard Lyon 1, and a Master’s in International Intellectual Property Studies. He has also earned a Master’s Degree in Mechanical and Energetic Engineering and a Bachelor’s in Mechanical Engineering, both from the University Claude Bernard Lyon 1.

Research Focus

Bilel’s research focuses on the optimization of transportation systems, particularly the adhesion between tires and rails, aiming to create a safer and more efficient “Ferromobile” transportation system. His work combines theoretical modeling, numerical simulations, and experimental analysis to explore solutions to key engineering challenges. Bilel is dedicated to advancing the understanding of material behavior and interaction in complex transport scenarios to contribute to future transportation technologies.

Experience

Bilel has gained extensive professional experience working in various engineering and research roles. He has served as a Patent Engineer at Valeo, where he identified potential inventions, analyzed patentability, and drafted patent applications. Prior to that, he worked as an R&D Engineer at Valeo Vision, developing dynamic models for automotive seating comfort. He also worked as a Test Engineer at General Electric Oil & Gas, conducting pressure and temperature tests on valves for the energy sector, and contributed to the analysis of relevant standards and regulations.

Research Timeline

  • 2023 – Present: PhD in Engineering Sciences, University Gustave Eiffel, focusing on tire/rail adhesion for safer transportation.
  • 2021 – 2022: Master’s Degree in International Intellectual Property, specializing in Invention Patents.
  • 2016 – 2017: Master’s in Modeling and Applications in Mechanics, University Claude Bernard Lyon 1.
  • 2013 – 2016: Master’s in Mechanical and Energetic Engineering and Bachelor’s in Mechanical Engineering, University Claude Bernard Lyon 1.

Awards & Honors

Bilel has consistently demonstrated excellence in his academic and professional journey, earning recognition for his innovative research in mechanical engineering and intellectual property. His contributions to industry R&D and his expertise in material modeling and simulation have been recognized by peers and mentors alike.

Top-Noted Publication

Bilel has contributed to the field of engineering with multiple technical publications related to his research. Notably, his work on dynamic modeling and material identification for automotive seating comfort has been recognized in international journals. His research on tire/rail adhesion is poised to make significant contributions to safer and more efficient transportation technologies.

Title: Enhancing safety in adapting personal vehicles for disused railway lines: Key rail texture parameters influencing Tire/Rail skid resistance
Journal: Wear
Published: February 2025
DOI: 10.1016/j.wear.2025.205828
Contributors: Bilel Jebali, Manuela Gennesseaux, Malal Kane

This article focuses on enhancing the safety of adapting personal vehicles for use on disused railway lines by analyzing the key rail texture parameters that influence the skid resistance between tires and rails. The study contributes significantly to the understanding of wear patterns and frictional forces, providing valuable insights into optimizing tire/rail interactions for safer and more efficient transportation systems. The research highlights how rail texture can be a crucial factor in improving safety when personal vehicles are adapted to travel on such infrastructure.

Bilel Jebali is an excellent candidate for the Innovative Researcher Award, given his profound contributions to the field of engineering, particularly in advancing safer and more efficient transportation systems. Here are five key strengths that make him stand out for this award:

  1. Cutting-Edge Research in Tire/Rail Adhesion
    Bilel’s research is at the forefront of optimizing transportation systems, focusing on tire/rail adhesion. His work aims to enhance safety and efficiency, particularly for adapting personal vehicles for use on disused railway lines, a topic that directly impacts real-world transportation infrastructure.

  2. Multidisciplinary Expertise
    With a blend of mechanical engineering, intellectual property, and applied research in advanced materials, Bilel brings a unique and interdisciplinary perspective to his work. His expertise spans from mechanical design and simulations to material characterization, providing a solid foundation for tackling complex engineering challenges.

  3. Commitment to Innovation and Collaboration
    Bilel’s career is marked by a strong commitment to innovation, as demonstrated by his extensive R&D experience at Valeo and General Electric Oil & Gas. His ability to identify potential inventions, analyze patentability, and develop dynamic models showcases his forward-thinking approach. Furthermore, his active engagement with the global engineering community ensures that his research is collaborative and impactful.

  4. Impactful Publications and Contributions
    Bilel’s publications, especially his recent work in Wear journal, highlight his contribution to the understanding of wear patterns and frictional forces between tires and rails. His findings are crucial for developing safer transportation systems and are widely recognized within the academic and industry communities.

  5. Academic Excellence and Professional Recognition
    Bilel’s academic credentials, including his ongoing PhD research and multiple master’s degrees, are complemented by his recognition in industry and academia. His research excellence has earned him respect and admiration from both his peers and mentors, further solidifying his position as a top-tier researcher.

Jianbang Liu, Artificial Intelligence, Best Innovator Award

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Dr. Jianbang Liu: Research fellow at College of Mathematics and Computer, Xinyu University, China

Jianbang Liu is a Research Fellow at Xinyu University, China, with expertise in Human-Computer Interaction (HCI) and Artificial Intelligence (AI). He holds a Master’s degree from Qilu University of Technology and a Ph.D. from the Institute of Visual Informatics, Universiti Kebangsaan Malaysia. His research focuses on AI-driven emotion and cognition analysis, contributing significantly to advancements in HCI and AI. Liu has published widely in international journals and is dedicated to bridging theoretical research with practical applications in the fields of emotion-aware technologies and human-robot interaction.

Online Profiles

ORCID Profile

Jianbang Liu maintains an active online presence through various academic and professional platforms. His work is accessible via platforms like Google Scholar, ResearchGate, and his institutional website. He regularly updates his research contributions, citations, and collaborations, ensuring his work reaches a broad academic audience. His publications are often cited and have significantly influenced research in the domains of HCI, AI, and sentiment analysis.

Education

Liu completed his Master’s degree at Qilu University of Technology (Shandong Academy of Sciences), China, in 2018. Following this, he pursued a Ph.D. at the Institute of Visual Informatics, Universiti Kebangsaan Malaysia, where he specialized in HCI and AI. His academic journey has equipped him with strong theoretical foundations and practical expertise in the intersection of AI, emotion, and cognition.

Research Focus

Liu’s research focuses on the integration of Artificial Intelligence (AI) with Human-Computer Interaction (HCI), particularly in emotion and cognition analysis. His work aims to improve human-robot interaction by developing AI-driven solutions for emotional state recognition and personalized user experiences. He explores cutting-edge AI algorithms, such as backpropagation neural networks and artificial bee colony algorithms, for creating more intuitive, adaptive, and empathetic HCI systems.

Experience

As a Research Fellow at Xinyu University, Liu has extensive experience in both teaching and research. He has contributed to several high-impact projects in AI, HCI, and emotion analysis. Liu has collaborated with researchers worldwide and has worked on projects focusing on AI-powered sentiment analysis, immersive learning experiences, and human-robot interaction. His experience spans both academic publishing and practical applications in AI-driven interfaces and systems.

Research Timeline

Liu’s academic journey began with his Master’s in 2018, followed by a Ph.D. at Universiti Kebangsaan Malaysia, where he focused on HCI and AI. After completing his Ph.D. in [Year], he joined Xinyu University as a Research Fellow. Over the past few years, his research has evolved from theoretical studies to practical AI applications, contributing to multiple high-impact publications in both AI and HCI.

Awards & Honors

Liu has been recognized for his contributions to the fields of HCI and AI, though specific awards or honors are not detailed. His published work in top-tier journals, including SCI and SSCI indexed publications, has brought him recognition within the academic community. His contributions continue to shape research in AI-driven emotional intelligence and human-computer interaction.

Top-Noted Publications

Liu has authored several top-cited papers, including:

1. Local Optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimisation Algorithm

  • Source: Springer Series in Advanced Manufacturing, 2025
  • Type: Book Chapter
  • DOI: 10.1007/978-3-031-64936-3_3
  • ISBN: 9783031649356 / 9783031649363
  • ISSN: 1860-5168 / 2196-1735
  • Contributors: Jianbang Liu, Mei Choo Ang, Kok Weng Ng, Jun Kit Chaw
    This chapter addresses the local optimal issue in the Bees Algorithm and integrates it with Dynamic Particle Swarm Optimisation (DPSO), using Markov Chain analysis. It is part of the Springer series focused on advanced manufacturing techniques.

2. Assessing the Impact and Development of Immersive VR Technology in Education: Insights from Telepresence, Emotion, and Cognition

  • Source: Technological Forecasting and Social Change, April 2025
  • Type: Journal Article
  • DOI: 10.1016/j.techfore.2025.124024
  • ISSN: 0040-1625
  • Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
    This article examines how immersive VR technology influences education, particularly in terms of telepresence, emotion, and cognitive responses, offering valuable insights into the evolving role of VR in educational settings.

3. Personalized Emotion Analysis Based on Fuzzy Multi-Modal Transformer Model

  • Source: Applied Intelligence, February 2025
  • Type: Journal Article
  • DOI: 10.1007/s10489-024-05954-5
  • ISSN: 0924-669X / 1573-7497
  • Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    This paper introduces a fuzzy multi-modal transformer model for personalized emotion analysis, which enhances the ability of systems to interpret emotional states through multiple data sources.

4. The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

  • Source: IEEE Access, 2024
  • Type: Journal Article
  • DOI: 10.1109/access.2024.3434689
  • ISSN: 2169-3536
  • Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    This article explores the emotional state transition model used in human-robot interactions, leveraging genetic hybridization technology to create more adaptive, emotion-aware robotic systems.

5. Emotion Assessment and Application in Human-Computer Interaction Interface Based on Backpropagation Neural Network and Artificial Bee Colony Algorithm

  • Source: Expert Systems with Applications, December 2023
  • Type: Journal Article
  • DOI: 10.1016/j.eswa.2023.120857
  • ISSN: 0957-4174
  • Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
    This paper discusses how emotion assessment techniques can be integrated into human-computer interaction systems using backpropagation neural networks and the artificial bee colony algorithm, contributing to more intuitive HCI interfaces.

6. Performance Evaluation of HMI Based on AHP and GRT for GUI

  • Source: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), September 2022
  • Type: Conference Paper
  • DOI: 10.1109/iicaiet55139.2022.9936844
  • Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
    This conference paper evaluates the performance of Human-Machine Interfaces (HMIs) based on the Analytical Hierarchy Process (AHP) and Grey Relational Theory (GRT), aiming to improve Graphical User Interface (GUI) design.

Xiaofeng Wu, Pharmacology, Best Researcher Award

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Dr. Xiaofeng Wu: Senior Scientist at Pharmacokinetics, Dynamics and Metabolism at Pfizer Inc, United States

Dr. Xiaofeng Wu is a Senior Scientist at Pfizer Inc., where he works in the Medicine Design division specializing in pharmacokinetics, pharmacodynamics, and metabolism. With a passion for advancing healthcare research, Dr. Wu has focused much of his career on utilizing proteomics and phosphoproteomics to understand complex disease mechanisms, discover novel biomarkers, and monitor drug efficacy. His research has made significant contributions to the field of clinical proteomics, particularly in relation to extracellular vesicles (EVs) derived from human biofluids. Dr. Wu earned his Ph.D. in Analytical Chemistry from Purdue University, where he worked on innovative techniques in mass spectrometry, establishing himself as a leading researcher in translational proteomics.

Online Profiles:

Google Scholar Profile

ORCID Profile

Dr. Wu’s publications have garnered significant attention in the scientific community, with a citation count of 386 and an h-index of 9 (indicating a strong influence in his field). His i10-index stands at 9, showing the sustained impact of his published work.

Education:

Dr. Wu’s academic journey began with a Bachelor of Science in Chemistry from Peking University, where he developed a strong foundation in analytical chemistry. He later pursued a Ph.D. in Analytical Chemistry at Purdue University, under the mentorship of Prof. W. Andy Tao. At Purdue, he focused on the cutting-edge use of mass spectrometry in the study of extracellular vesicles (EVs) for translational research, including drug metabolism, disease biomarkers, and therapeutic monitoring. His doctoral research provided insights into new proteomic techniques that hold promise for improving clinical practices in oncology, cardiovascular diseases, and metabolic disorders.

Research Focus:

Dr. Wu’s research is primarily focused on extracellular vesicles (EVs), tiny particles secreted by cells that carry proteins, lipids, and RNA. He has pioneered methods to isolate and analyze EVs from human biofluids like plasma, urine, and tissue, exploring their potential as sources for disease biomarkers and therapeutic targets. His work is especially notable in the areas of cancer diagnostics, drug response monitoring, and precision medicine. Using advanced mass spectrometry techniques, Dr. Wu’s research aims to provide deeper insights into protein and phosphoprotein signaling in various diseases, enabling faster and more accurate disease diagnosis and treatment efficacy evaluation. He is also dedicated to developing novel, high-throughput analytical methods to make these approaches more practical for clinical settings.

Experience:

Dr. Wu’s professional experience includes his current role as Senior Scientist at Pfizer Inc., where he applies his expertise in pharmacokinetics and mass spectrometry to advance drug development. He plays a pivotal role in the characterization of drug metabolism and efficacy through the analysis of extracellular vesicles. Before joining Pfizer, Dr. Wu earned his Ph.D. at Purdue University, where he worked on multiple collaborative research projects with prominent institutions such as St. Jude Children’s Research Hospital, Merck & Co., and Indiana University Health. Throughout his career, Dr. Wu has co-authored over 20 publications, many in top-tier journals, and has been invited to present his work at international conferences. His multidisciplinary collaborations have also extended to various sectors, including pharmaceutical companies and academic research labs, making him a recognized leader in his field.

Research Timeline:

  • 2022 – Present: Senior Scientist at Pfizer Inc., focusing on pharmacokinetics, pharmacodynamics, and metabolism in drug development. Dr. Wu is heavily involved in the analysis of protein biomarkers in extracellular vesicles for therapeutic assessment.
  • 2016 – 2022: Ph.D. in Analytical Chemistry from Purdue University, under the mentorship of Prof. W. Andy Tao. His dissertation focused on developing new methods for proteomic analysis of extracellular vesicles and their use in clinical applications.
  • 2012 – 2016: Bachelor of Science in Chemistry, Peking University. Dr. Wu’s early research explored the basics of analytical chemistry and mass spectrometry, laying the foundation for his future work in proteomics.

Awards & Honors:

Dr. Wu has received numerous honors and accolades throughout his career. He has been invited to speak at major scientific conferences, including the American Society of Mass Spectrometry and the US HUPO Conference, where he shared his research on EV proteomics and biomarker discovery. Additionally, he serves as a guest reviewer for high-impact journals such as Journal of Proteome Research, Molecular and Cellular Proteomics, and Proteomics – Clinical Applications. He is also on the editorial boards of several scientific journals, reflecting his expertise and influence in the field of analytical chemistry and proteomics. Dr. Wu’s pioneering work on the development of high-throughput methods for analyzing EVs has also been recognized with publications in top-tier journals.

Top-Noted Publication:

Wu, X., Liu, Y.-K., Iliuk, A. B., Tao, W. A. (2023). One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles. Journal of Proteome Research, 22(10), 3301-3310. This publication showcases Dr. Wu’s innovative work on a novel one-pot method for isolating and analyzing extracellular vesicles, providing a fast and efficient approach for clinical proteomics. The paper is highly regarded in the scientific community and has contributed significantly to the advancement of translational research in proteomics.

  • “Mass spectrometry-based phosphoproteomics in clinical applications”
    X Wu, YK Liu, AB Iliuk, WA Tao, TrAC Trends in Analytical Chemistry, 163, 117066 (2023).
    This influential paper discusses the role of mass spectrometry in phosphoproteomics, focusing on its clinical applications, including monitoring disease progression and therapeutic responses through protein phosphorylation.
    Citations: 9
  • “In-depth discovery of protein lactylation in hepatocellular carcinoma”
    X Wu, Proteomics, 23(9), 2300003 (2023).
    This study provides a comprehensive analysis of protein lactylation in hepatocellular carcinoma, uncovering new insights into the post-translational modifications that could serve as biomarkers for liver cancer diagnosis.
    Citations: 9
  • “All-in-One strategy for downstream molecular profiling of tumor-derived exosomes”
    S Wang, Y He, J Lu, Y Wang, X Wu, G Yan, X Fang, B Liu, ACS Applied Materials & Interfaces, 14(32), 36341–36352 (2022).
    This paper presents a robust strategy for profiling tumor-derived exosomes, offering a powerful tool for molecular cancer diagnostics and therapeutic monitoring.
    Citations: 9
  • “One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles”
    YK Liu, X Wu, M Hadisurya, L Li, H Kaimakliotis, A Iliuk, WA Tao, Journal of Proteome Research, 22(10), 3301–3310 (2023).
    This publication highlights the development of an efficient and sensitive one-pot analytical pipeline for EV proteomics, improving the speed and accuracy of extracellular vesicle analysis in clinical settings.
    Citations: 3
  • “Isolation and identification of plasma extracellular vesicles protein biomarkers”
    MV Lihon, M Hadisurya, X Wu, A Iliuk, WA Tao, Cancer Systems and Integrative Biology, 207–217 (2023).
    This study focuses on isolating and identifying plasma EV protein biomarkers, providing significant contributions to cancer biomarker discovery for early detection and monitoring.
    Citations: 3
  • “Monitoring drug metabolic pathways through extracellular vesicles in mouse plasma”
    X Wu, M Quan, M Hadisurya, J Hu, YK Liu, Y Zhuang, L Li, AB Iliuk, PNAS Nexus, 3(2), pgae023 (2024).
    This paper explores the use of EVs in monitoring drug metabolism pathways in mouse plasma, further bridging the gap between clinical research and therapeutic drug development.
    Citations: 2

Dechsak Nakhapaksirat, Medicine, Best Researcher Award

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Dr. Dechsak Nakhapaksirat: Dental instructor at Faculty of Dentistry, Mahidol University, Thailand

Dr. Dechsak Nakhapaksirat is a highly experienced educator and researcher in the field of dentistry, with a focus on clinical education, decision-making, and patient safety. He currently holds the position of Assistant Dean for Dental Education at the Faculty of Dentistry, Mahidol University, where he also serves as a lecturer in the Department of Oral Medicine and Periodontology. With a robust academic background, Dr. Nakhapaksirat is dedicated to improving dental education through evidence-based strategies and innovation.

Online Profiles:

ORCID Profile

Dr. Nakhapaksirat maintains a professional online presence through academic platforms such as ResearchGate, where he shares his research and connects with peers globally. His contributions to the field of dental education and clinical decision-making are widely recognized, particularly through his research on cognitive biases in dentistry and the development of dental curricula.

Education:

Dr. Nakhapaksirat completed his Doctor of Dental Surgery (D.D.S.) degree from Mahidol University in 2002, followed by postgraduate training in General Dentistry. He later pursued a Master’s degree in Medical Education from the University of Dundee (2016) and a PhD in Clinical Education from the University of Edinburgh (2021), cementing his expertise in the intersection of education and dentistry.

Research Focus:

His research interests are centered on clinical errors, patient safety, critical thinking, and cognitive biases in dental decision-making. Dr. Nakhapaksirat has contributed to several studies aimed at improving clinical judgment, reasoning, and curriculum development within dental programs. His work aims to enhance the quality of dental education by identifying key challenges and proposing practical solutions.

Experience:

Dr. Nakhapaksirat has over 15 years of experience in dental education and clinical practice. He has held multiple leadership positions, including Assistant Dean for Human Resources and Special Activities and Assistant Dean for Dental Education at Mahidol University. His academic roles also involve supervising research projects and teaching dental students about oral medicine, clinical decision-making, and diagnostic skills.

Research Timeline:

His research journey spans several years, beginning with his work on cognitive biases in clinical decision-making, and has evolved to include studies on improving dental students’ clinical performance, patient safety, and the development of dental curricula. Key milestones include his 2016 Master’s research on newly graduated dentists and his 2021 PhD thesis exploring clinical decision-making processes in dentistry.

Awards & Honors:

Dr. Nakhapaksirat has been recognized for his contributions to dental education and research, notably with several poster and oral presentations at prestigious international conferences. His academic achievements are highlighted by his publication in the Journal of Dental Education and his involvement in developing curricula to improve clinical decision-making and diagnostic skills in dental students.

Top-Noted Publication:

One of his significant publications is “Evaluation of teaching cognitive bias for dental students during the transition to independent dental practice,” published in the Journal of Dental Education. This work has contributed to the understanding of cognitive biases in dental education and the impact they have on clinical decision-making, marking a key development in his research on improving dental education practices.

One of Dr. Nakhapaksirat’s significant contributions to dental education is his article titled “Evaluation of Teaching Cognitive Bias to Dental Students During the Transition to Independent Dental Practice,” published in the Journal of Dental Education on December 17, 2024. This article explores how cognitive biases affect the decision-making processes of dental students as they transition into independent practice. The study provides valuable insights into improving educational strategies to address these biases, ensuring that students develop stronger clinical reasoning skills. The publication can be accessed with the DOI: 10.1002/jdd.13811.

Yilong Wang, Neuroscience, Best Researcher Award

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Dr. Yilong Wang: Executive Vice President, Professor of Neuroscience, Chief Physician at Beijing Tiantan Hospital, Capital Medical University, Beijing, China

Dr. Yilong Wang, a distinguished neurologist and academic leader, serves as the Executive Vice President and Chief Physician at Beijing Tiantan Hospital, Capital Medical University. His expertise lies in cerebrovascular diseases and rare neurological disorders, with a particular focus on precision treatment strategies and innovative drug delivery systems. With extensive academic experience, including a postdoctoral fellowship at the University of California, he has made substantial contributions to stroke and small vessel disease research.

Online Profiles

ORCID Profile

Dr. Wang’s online presence is marked by his significant contributions to neuroscience and stroke research. He holds leadership roles in several academic societies, including the Chinese Stroke Association and the Chinese Medical Association. His research, particularly in stroke prevention and treatment, has gained international attention, with multiple publications in top-tier journals like NEJM and JAMA. He also serves as an editorial board member for Stroke & Vascular Neurology and the Chinese Stroke Journal.

Education

Dr. Wang’s academic foundation includes a Ph.D. in Neurology from Capital Medical University, complemented by a Master’s in Epidemiology and Health Statistics from North China Coal Medical College. He further honed his expertise through a postdoctoral fellowship in Neurology at the University of California, San Francisco, School of Medicine, from 2007 to 2009, where he expanded his research into cerebrovascular and neurological diseases.

Research Focus

Dr. Wang’s research focuses on cerebrovascular diseases, particularly ischemic stroke, and rare neurological disorders. His work explores precision diagnostic technologies, stroke prevention, and novel drug delivery methods that bypass the blood-brain barrier. His interdisciplinary research also involves medical-engineering crossover innovations, including intelligent medical devices and brain-computer interfaces, to improve neurological disease management and outcomes.

Experience

Dr. Wang’s professional trajectory spans various leadership positions at Beijing Tiantan Hospital, including Executive Vice President, Vice President, and Deputy Director of the Neurology Center. He has also held significant roles in the hospital’s scientific and technological departments, contributing to advancements in medical research, clinical practices, and technology integration for cerebrovascular diseases.

Research Timeline

Dr. Wang’s research has been supported by numerous national and international grants. His key projects include studies on precision treatment strategies for acute ischemic stroke and cerebral small vessel diseases. From 2019 to 2023, he led the National Natural Science Foundation of China’s Outstanding Youth Science Fund project, contributing to groundbreaking work on ischemic stroke therapies and intervention techniques. His ongoing research addresses innovative drug delivery systems and vascular disease treatment strategies.

Awards & Honors

Dr. Wang has earned numerous prestigious awards, including the National “Ten Thousand Talents Plan” Leading Talent in Science and Technology Innovation and the Young Scholar award from the Chang Jiang Scholars Program. He has also been recognized with various science and technology progress awards, both nationally and internationally, for his contributions to cerebrovascular disease research and innovations in medical technology.

Top-Noted Publication

Dr. Wang’s landmark publications include his recent work in NEJM (2023), where he introduced a dual-target intensive antiplatelet therapy for mild strokes, significantly impacting clinical treatment approaches. Another key publication in JAMA Neurology (2024) explored the role of statin therapy in neuroprotection during acute ischemic stroke, establishing him as a leader in stroke research. His work continues to shape medical guidelines for stroke prevention and treatment worldwide.

  • Association Between CYP2C19 Loss-of-Function Allele Status and Efficacy of Clopidogrel for Risk Reduction Among Patients With Minor Stroke or Transient Ischemic Attack
    Published in JAMA on July 5, 2016. This study explored the influence of CYP2C19 loss-of-function allele status on the effectiveness of clopidogrel, providing insights into personalized stroke prevention strategies.
    DOI: 10.1001/jama.2016.8662
  • Clopidogrel With Aspirin in Acute Minor Stroke or Transient Ischemic Attack (CHANCE) Trial
    Published in Circulation on July 7, 2015. This article discussed the results of the CHANCE trial, examining the combination of clopidogrel and aspirin in reducing the risk of stroke recurrence in patients with minor strokes or transient ischemic attacks.
    DOI: 10.1161/circulationaha.114.014791
  • Prevalence, Knowledge, and Treatment of Transient Ischemic Attacks in China
    Published in Neurology on June 9, 2015. This study highlighted the prevalence and public awareness of transient ischemic attacks in China, along with the treatment approaches, contributing valuable data to the global understanding of stroke management in the region.
    DOI: 10.1212/wnl.0000000000001665

Juan Liu, Information Technology, Best Researcher Award

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Prof. Dr. Juan Liu: Professor at Beijing Institute of Technology, China

Dr. Juan Liu is a distinguished professor and researcher at the School of Optoelectronics, Beijing Institute of Technology, known for her significant contributions to optics, particularly in 3D holographic display technology and diffractive optical elements (DOE). Her expertise encompasses the development and application of micro- and nano-scale optical components, surface plasmon polaritons, and subwavelength optical super-resolution imaging. She has advanced the field of optical engineering through innovative research, leadership, and mentorship.

Online Profiles

Scopus Profile

Dr. Juan Liu is a distinguished professor at the Beijing Institute of Technology, Beijing, China, specializing in 3D holographic display technology, diffractive optical elements, and micro- and nano-scale optical components. She has authored over 325 documents, garnering 5,157 citations, and has an impressive h-index of 34, showcasing the substantial impact of her research. Her academic contributions span various groundbreaking projects in optics, including advancements in surface plasmon polaritons and super-resolution imaging. Dr. Liu’s work has been widely recognized in the field of optical engineering, and she actively engages with prominent academic networks such as ORCID and Mendeley for scholarly collaboration and knowledge sharing.

Education

Dr. Liu earned her Ph.D. in Optics in 2001 from the Institute of Physics, Chinese Academy of Sciences, under the supervision of Academician Prof. Guozhen Yang. Her Master’s degree in Applied Physics was awarded in 1998 by Shanghai University, where she worked with Prof. Weihan Tan. She completed her undergraduate studies in Applied Physics in 1992 at Xinyang Normal University. Her academic training laid a strong foundation for her career in optical engineering.

Research Focus

Her research interests lie in advancing 3D holographic display technologies, which hold potential for revolutionizing visualization and imaging systems. She specializes in designing and fabricating diffractive and holographic optical elements, creating optical components with micrometer and nanometer precision, and exploring the applications of plasmonics in achieving super-resolution imaging.

Experience

Dr. Liu has held a professorship at Beijing Institute of Technology since 2008 and has served as a doctoral supervisor in Optical Engineering since 2010. She gained international experience as a visiting professor at the University of California, Berkeley, and the University of Arizona. Earlier in her career, she worked as an Associate Professor at Beijing Jiaotong University and as a Research Fellow at the University of Vienna, Austria.

Research Timeline

Dr. Liu has led or participated in numerous high-profile projects, securing over 60 million RMB in research funding. Key projects include:

  • 2023–2024: “Holographic HUD Diaphragm Technology Development” (RMB 1.9M)
  • 2023–2026: “Research on Key Technology of High Precision Panoramic 3D Display” (RMB 2.46M)
  • 2022–2023: “Metasurface and Holographic Display Project” (RMB 3M)
  • 2021–2023: “Development of Color Photopolymer Holographic Materials” (RMB 6M)

These projects emphasize her leadership in holography and optical engineering, addressing challenges in advanced display systems and material sciences.

Awards & Honors

Dr. Liu’s excellence in optical research has been recognized through editorial and leadership roles, such as Topical Editor for Applied Optics (2014–2020) and Section Editor for Optik in the area of holography since 2018. She chaired the Optical Society of America’s Digital Holography International Conferences in 2019 and 2020 and serves on specialized committees within the Optical Society of China.

Top-Noted Publications

Dr. Liu’s research has garnered over 5,157 citations with an h-index of 34, reflecting her impact in optics. Recent key publications include:

  • Fringe locking system with large phase compensation range for holographic exposure systems with arbitrary recording wavefronts
    • Authors: Xu, Y., Liao, Q., Liu, J.
    • Journal: Optics and Laser Technology, 2025, 183, 112254
  • Curved Holographic Augmented Reality Near-Eye Display System Based on Freeform Holographic Optical Element with Extended Field of View
    • Authors: Xu, H., Xu, Y., Wang, C., Liu, J.
    • Journal: Photonics, 2024, 11(12), 1194
  • Ultrathin metasurface for super multi-view 3D display with linear and circular polarization control
    • Authors: Ahmad, M., Li, J., Ma, H., Liu, J.
    • Journal: Displays, 2024, 85, 102848
  • Amp-Holo-Net enables speckle-free and high-quality coaxial amplitude-only holographic display
    • Authors: Wu, H., Wei, J., Wei, C., Wu, J., Liu, J.
    • Journal: Optics Express, 2024, 32(24), pp. 43417–43429
  • Design method of wide-angle and large exit-pupil near-eye display optics
    • Authors: Jiang, S., Xu, L., Liu, J.
    • Journal: Guangxue Jishu/Optical Technique, 2024, 50(6), pp. 686–689

Esther Salvi, Business Administration, Innovative Researcher Award

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Dr. Esther Salvi: Postdoctoral Research Fellow at IMD, Switzerland

Dr. Esther Salvi is a Postdoctoral Research Fellow at the International Institute for Management Development (IMD), Switzerland. She holds a Ph.D. in Economics and Social Sciences from the Technical University of Munich, where her thesis explored informal entrepreneurship. Dr. Salvi specializes in sustainable business transformation, informal entrepreneurship, and socio-economic policy, with a focus on emerging economies and gender dynamics in entrepreneurship.

Online Profiles

Dr. Esther Salvi has garnered 69 citations since 2020, reflecting the growing influence of her research. She holds an h-index of 2, indicating that two of her papers have each been cited at least twice. Additionally, her i10-index stands at 1, meaning one of her publications has received 10 or more citations, further showcasing her contributions to her field.

Education

  • PhD in Economics and Social Sciences (2019–2023), Technical University of Munich, Germany.
  • MSc in Nutritional Sciences (2016–2018), University of Milan, Italy.
  • BSc in Food Technology (2013–2016), University of Turin, Italy.

Research Focus

Dr. Salvi’s research focuses on informal entrepreneurship, exploring its emergence, antecedents, and socio-economic impacts. She investigates sustainable business transformations, especially in fragile economies, with an emphasis on digitalisation, gender dynamics, and socio-political enablers of entrepreneurship in diverse global contexts.

Experience

Dr. Salvi has worked as a Research Fellow at IMD, contributing to policy and business sustainability. She has also served as a lecturer and advisor for research projects focused on entrepreneurship in developing economies. Her expertise extends to both academic publications and industry collaborations aimed at promoting sustainable economic development.

Research Timeline

  • 2023–2026: Exploring sustainable transformations in business practices.
  • 2021–2023: Investigating informal entrepreneurship in fragile and emerging economies.
  • 2019–2021: Ph.D. research on informal entrepreneurship, global challenges, and local contexts.

Awards & Honors

Dr. Salvi has received several accolades, including Best Paper at the 2023 Academy of Management Annual Meeting. Her work on informal entrepreneurship and sustainability has earned recognition in academic circles, marking her as a rising expert in these fields.

Top-Noted Publications

“Navigating Crisis Through Digitalisation and Its Impact on Firm Formality: The Case of Microenterprises in India”

Authors: MS Shahid, E Salvi, M Sajjad

Journal: International Journal of Sociology and Social Policy (2024)

“The Many Faces of Informal Enterprise”

Authors: E Salvi, FM Belz, S Bacq

Publisher: IbyIMD (2024)

“Impact Entrepreneurship: Bridging Environmental, Social, and Responsible Entrepreneurship”

Authors: VL Unger, E Salvi, J Spanjol, AA Gümüsay, S Bacq, GD Markman, et al.

Journal: Academy of Management Proceedings 2024 (13422) (2024)

“Local Contexts and Entrepreneurial Agency within a Fragile State”

Authors: E Salvi, FM Belz, JK Binder, AA Gümüsay

Journal: Academy of Management Proceedings 2024 (1), 10632 (2024)

“Going the Extra Mile: Agentic Impact Measuring in Sustainable Ventures”

Authors: J Moellmann, FM Belz, E Salvi

Event: 14th International Symposium on Process Organization Studies (2023)

Dr. Esther Salvi’s research aligns closely with the criteria for the Innovative Researcher Award, making her a strong candidate for this recognition. Below are key strengths that highlight her suitability for the award:

  • Innovative Focus on Emerging Economies and Gender Dynamics: Dr. Salvi’s work on informal entrepreneurship and its socio-economic impacts in emerging economies is at the forefront of socio-economic research. Her emphasis on digitalization, gender dynamics, and the socio-political enablers of entrepreneurship offers groundbreaking insights into fragile economies.
  • Sustainable Business Transformation: Her exploration of sustainable business transformation in fragile and emerging economies aligns with contemporary global challenges, positioning her research as highly relevant in the context of sustainability and socio-economic development.
  • Recognition and Impact: Dr. Salvi’s growing influence in academia, with 69 citations since 2020, an h-index of 2, and an i10-index of 1, showcases the increasing impact of her work. Her recognition at the 2023 Academy of Management Annual Meeting for Best Paper further underscores her contributions to the field.
  • Cross-Disciplinary Expertise: Combining economics, entrepreneurship, and sustainability, Dr. Salvi’s interdisciplinary approach is an asset to her research, enhancing its relevance to both academia and industry.
  • Prolific Publications: Dr. Salvi has authored and co-authored several influential papers in high-impact journals and conferences, such as the International Journal of Sociology and Social Policy and Academy of Management Proceedings. These publications demonstrate her leadership in shaping the discourse on entrepreneurship, sustainability, and digital transformation.

Behary Nemeshwaree, Materials Science, Best Researcher Award

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Prof. Behary Nemeshwaree: Professor/Researcher at ENSAIT-Ecole Nationale Supérieure des Arts et Industries Textiles, in Roubaix, affiliated to University of Lille, France

Dr. Nemeshwaree Behary Massika is a distinguished Full Professor at ENSAIT (École Nationale Supérieure des Arts et Industries Textiles) in Roubaix, France. She holds HDR (Habilitation à Diriger des Recherches), signifying her accreditation to supervise doctoral research. Her expertise lies in eco-innovative functionalization of textiles, where she integrates eco-technologies and biotechnologies to reduce environmental impacts and create bio-functional, antimicrobial, and multifunctional fabrics. Her recent research extends to improving textile circularity by pre-treating textiles at their end-of-life to remove dyes and functional molecules effectively.

Online Profiles

ORCID Profile

Education

Dr. Behary completed her PhD in Organic and Macromolecular Chemistry at Lille University in 1999, with a focus on textile science and chemistry. She earned her Habilitation to Supervise Research (HDR) in 2014, presenting work on eco-technologies and biotechnologies for textile functionalization. Earlier, she completed a Master’s degree in Textile Engineering at ENSAIT and a DEA-Master in Organic and Macromolecular Chemistry.

Research Focus

Her research primarily explores sustainable textile processing methods, including eco-technologies and biotechnologies for pre-treatment, dyeing, and functionalization. These techniques incorporate bio-based functional molecules such as enzymes, dyes, and biopolymers to enhance sustainability. She also focuses on antibacterial and medical textiles, emphasizing eco-design for circular textiles at their end-of-life.

Experience

Dr. Behary has supervised 10 completed PhD projects and is currently guiding two doctoral candidates. She is the director of the Master’s program “Sustainable Textiles” at ENSAIT and has taught courses such as Dyeing and Finishing, Biotechnologies Applied to Textiles, and Sustainable Textile Processes. Additionally, she has coordinated international academic exchanges and collaborated with institutions in Poland and Spain.

Research Timeline

From 2014 onward, her research has concentrated on developing eco-functional textiles and innovative circular pre-treatment methods. She has led several international and European research projects, publishing extensively on sustainable textile technologies and collaborating with global experts to advance the field.

Awards & Honors

Dr. Behary has consistently received Grade A recognition for the Prime d’Excellence Scientifique (PEDR) since 2014, underscoring her significant scientific achievements and leadership in textile innovation.

Top-Noted Publication

Dr. Behary has authored over 60 peer-reviewed publications and delivered 50 oral presentations worldwide. Her work spans eco-functionalization of textiles, biotechnological applications, and sustainability in textile processing. For a detailed list of her publications, visit her ORCID Profile.

  • Genipin-mediated immobilization of glucose oxidase enzyme on carbon felt for use as heterogeneous catalyst in sustainable wastewater treatment
    • Journal of Environmental Chemical Engineering
    • Published: August 2021
    • DOI: 10.1016/j.jece.2021.105633
    • This study explores the immobilization of the glucose oxidase enzyme on carbon felt using genipin, offering sustainable catalytic solutions for wastewater treatment.
  • Immobilizing Redox Enzyme on Amino Functional Group-Integrated Tailor-Made Polyester Textile: High Loading, Stability, and Application in a Bio-Fenton System
    • ACS Sustainable Chemistry & Engineering
    • Published: July 2021
    • DOI: 10.1021/acssuschemeng.1c03775
    • This research demonstrates the successful integration of redox enzymes into amino-functionalized polyester textiles, enhancing their application in bio-Fenton catalytic systems.
  • Dyeing performance and antibacterial properties of air-atmospheric plasma treated polyester fabric using bio-based Haematoxylum campechianum L. dye, without mordants
    • Sustainable Chemistry and Pharmacy
    • Published: April 2021
    • DOI: 10.1016/j.scp.2020.100372
    • This paper focuses on eco-friendly dyeing techniques for polyester fabrics, employing plasma treatments and bio-based dyes for sustainable production.
  • Investigation into the color stripping of the pigment printed cotton fabric using the ozone-assisted process: A study on the decolorization and characterization
    • Journal of Engineered Fibers and Fabrics
    • Published: January 2021
    • DOI: 10.1177/1558925021992757
    • This study evaluates the effectiveness of ozone-assisted processes in stripping pigments from cotton fabrics, contributing to sustainable textile recycling methods.
  • Environmental Profile Study of Ozone Decolorization of Reactive Dyed Cotton Textiles by Utilizing Life Cycle Assessment
    • Sustainability
    • Published: January 2021
    • DOI: 10.3390/su13031225
    • Using life cycle assessment, this article analyzes the environmental impact of ozone decolorization methods for reactive dyed cotton textiles.