Mr Qiusheng Shi | Materials Science | Best Researcher Award

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Mr Qiusheng Shi | Materials Science | Best Researcher Award

Mr. Qiusheng Shi is a dedicated postgraduate researcher at the College of Optoelectronics Engineering, Chongqing University πŸ“‘. His research focuses on smart materials, point defects, and doping mechanisms to enhance photoelectric and mechanical properties of materials for flexible sensor applications πŸ€–. His work on pentagonal-BCN materials contributes to next-generation optoelectronic devices and energy-efficient technologies ⚑. He has published in the Journal of Solid State Chemistry, demonstrating his commitment to scientific innovation πŸ“–. His expertise in materials characterization, nanotechnology, and optoelectronics positions him as a rising talent in smart material engineering 🌍.

Mr Qiusheng Shi, College of Optoelectronics Engineering, Chongqing University, China

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Education πŸŽ“

Mr. Qiusheng Shi is a graduate student at the School of Optical and Electronic Engineering, Chongqing University πŸ“‘. His research focuses on smart materials and structures, with applications in flexible electronics, sensors, and optoelectronic devices πŸ€–. He specializes in material doping, point defects, and their influence on photoelectric and mechanical properties ⚑. His academic journey has equipped him with advanced knowledge in material science, nanotechnology, and optoelectronics πŸ”¬. As an emerging researcher, he is committed to developing next-generation energy-efficient and intelligent material systems for industrial and technological advancements πŸ†.

Research and Innovations πŸ”¬

Mr. Shi’s research primarily explores doping and point defects to regulate the photoelectric and mechanical properties of pentagonal-BCN. His completed research includes:
βœ… Investigation of smart materials for flexible sensor applications πŸ€–
βœ… Study of photoelectric properties in doped materials πŸ”†
βœ… Contributions to the understanding of point defects in BCN-based materials πŸ—οΈ
βœ… Advancement of mechanical property optimization through nanostructuring βš™οΈ

His work supports the next-generation electronic and optoelectronic materials, contributing to flexible and energy-efficient device applications.

Contributions πŸ›οΈ

While Mr. Shi is an early-career researcher, his work has significant implications for flexible electronics and material applications. His contributions include:
πŸ“‘ Development of smart materials for sensor technologies
πŸ“– Enhancing understanding of BCN-based material defects
πŸ› οΈ Potential applications in energy-efficient and flexible electronics

His research lays a foundation for future innovations in material science and engineering.

Research Focus πŸ”¬

Mr. Qiusheng Shi’s research focuses on smart materials and structures, particularly in doping and point defects to regulate the photoelectric and mechanical properties of pentagonal-BCN πŸ—οΈ. His work explores novel material modifications to enhance optical, electrical, and mechanical performance for next-generation flexible sensors and optoelectronic devices πŸ“‘. Through nanostructuring and material engineering, he aims to develop energy-efficient, highly durable smart materials πŸ”†. His published work in the Journal of Solid State Chemistry highlights significant advancements in material optimization for flexible electronics, wearables, and intelligent material systems, contributing to the future of optoelectronic applications πŸ€–.

Notable Publication πŸ“š

Prof. Dr Abdelkhalek kammouni | Materials Science | Best Researcher Award

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Prof. Dr Abdelkhalek kammouni | Materials Science | Best Researcher Award

Prof. Dr. Abdelkhalek Kammouni is a leading researcher in materials science, nanotechnology, and sustainable engineering. Currently a Professor of Higher Education at Moulay IsmaΓ―l University, Morocco, he holds a Ph.D. in Materials Science from Paul CΓ©zanne University, France (2007) πŸŽ“. His expertise includes thermoelectric materials, composite materials, and advanced thin films. He has pioneered fire-resistant bio-based composites, non-destructive testing techniques, and energy-efficient material solutions βš‘πŸ—οΈ. With numerous SCI-indexed publications, international collaborations, and leadership in materials research, Prof. Kammouni’s innovations contribute to green energy, infrastructure safety, and sustainable material development πŸŒπŸ”¬. His impactful research makes him a top contender for the Best Researcher Award πŸ….

Prof. Dr Abdelkhalek kammouni, Faculty of Sciences, Morocco

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πŸŽ“ EducationΒ 

Prof. Dr. Abdelkhalek Kammouni has an extensive academic background in materials science, metallurgy, and computational modeling. He earned his Doctorate in Materials Science (2007) from Paul CΓ©zanne University, France, focusing on precipitation mechanisms and microstructural stability in TRIP steels πŸ—οΈ. In 2016, he received his Habilitation Universitaire in metallic and composite materials for environmental applications 🌱. He also holds a Master’s in Computer Science from INP Toulouse, a DiplΓ΄me d’Etudes Approfondies (DEA) in Processes and Materials from Perpignan University, and was appointed Professor of Higher Education in 2022 πŸ‘¨β€πŸ«. His diverse expertise bridges materials engineering, nanotechnology, and sustainability πŸ”¬βš‘.

πŸ‘¨β€πŸ« ExperienceΒ 

Prof. Dr. Abdelkhalek Kammouni is a permanent professor and researcher at Moulay IsmaΓ―l University, MeknΓ¨s, specializing in materials science, metallurgy, and nanotechnology πŸ—οΈ. From 2011-2017, he served as an Assistant Professor at the Γ‰cole Nationale SupΓ©rieure d’Arts et MΓ©tiers, Casablanca 🏫. He has conducted scientific research stays at IM2NP Marseille, INSA Lyon, and ENSCI Limoges (France) πŸ‡«πŸ‡·. His postdoctoral research at CP2M, France, focused on the influence of galvanization on bainitic steels. He has worked as an expert consultant for Sollac MΓ©diterranΓ©e, optimizing precipitation and microstructural properties of steels. His expertise bridges academia, industry, and advanced material characterization πŸ”¬βš‘.

πŸ“‘Research ProjectsΒ 

🌍 International Projects:
βœ… TOUBKAL Project (2025-2027, 2018-2021) – Development of bio-based fire-resistant composites in collaboration with CNRS France πŸ”₯.
βœ… Residential Research School (2024) – Research on functional nanostructured materials πŸ—οΈ.
βœ… FINCOM Project (2023, 2015) – Characterization of nanostructured materials ⚑.

πŸ›οΈ National Projects:
βœ… URL-CNRST (2020-2024) – Research on advanced materials 🏭.
βœ… UMI Project (2018-2022) – Thermal energy recycling for sustainability 🌱.

πŸ”¬ Research Focus

Prof. Dr. Abdelkhalek KammouniΒ research primarily focuses on materials characterization, microstructural analysis, and composite materials. Their work includes TEM-based local carbon concentration measurements in retained austenite, mechanical and thermal properties of natural fiber composites, and COβ‚‚ sensing using CuO/spinel thin films. They also study thermoelectric properties of Mg-Ag-Sb thin films, microalloyed steels, and historical lime mortars for self-healing properties. Their expertise spans nanomaterials, metallurgy, and environmental materials, contributing to advanced materials science for construction, aerospace, and energy applications. πŸ—οΈπŸ”¬βš‘πŸŒΏ

πŸ“š PublicationsΒ 

πŸ“– A methodology suitable for TEM local measurements of carbon concentration in retained austenite
πŸ‘¨β€πŸ”¬ Authors: A. Kammouni, W. Saikaly, M. Dumont, C. Marteau, X. Bano, A. CharaΓ―
πŸ“° Journal: Materials Characterization πŸ—οΈ (2008)

πŸ“– Effect of surface modification on morphological, mechanical, and thermal conductivity of hemp fiber: Characterization of the interface of hemp–Polyurethane composite
πŸ‘¨β€πŸ”¬ Authors: S. Sair, A. Oushabi, A. Kammouni, O. Tanane, Y. Abboud, H. F. Oudrhiri
πŸ“° Journal: Case Studies in Construction Materials 🏑 (2017)

πŸ“– COβ‚‚ sensing characteristics of CuO/Spinel thin films deposited on micro-heater
πŸ‘¨β€πŸ”¬ Authors: P. T. F. Oudrhiri-Hassani, L. Presmanes, A. Barnabe, A. Kammouni
πŸ“° Journal: Journal of Materials and Environmental Science 🌍 (2015)

πŸ“– Seebeck coefficient variations of Ξ±-MgAgSb in crystalline Mg-Ag-Sb thin films
πŸ‘¨β€πŸ”¬ Authors: N. Oueldna, A. Portavoce, M. Bertoglio, M. Descoins, A. Kammouni
πŸ“° Journal: Journal of Alloys and Compounds ⚑ (2023)

πŸ“– Investigation of historical lime mortars from the Chellah Mosque (Morocco): Mineralogical characterization and self-healing mechanisms of micro-cracks
πŸ‘¨β€πŸ”¬ Authors: N. Oulida, A. Kammouni, T. Lamhasni, M. Haddad, M. Ziani, S. A. Lyazidi
πŸ“° Journal: Construction and Building Materials πŸ›οΈ (2023)

His work spans nanomaterials, thermoelectrics, heritage conservation, and sustainable composites πŸ”₯🌱.

Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

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Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

🌾 Dr. Xanthoula Eirini Pantazi is an Assistant Professor at Aristotle University of Thessaloniki, specializing in precision agriculture, artificial intelligence, and biosystems engineering. πŸŽ“ She holds a Ph.D. in Biosystems Engineering and has contributed extensively to AI-driven agricultural solutions, machine learning, and sensor fusion. πŸš€ Dr. Pantazi has been involved in 20+ EU-funded projects, including Horizon 2020 initiatives. Her expertise spans decision support systems, UAV applications, and crop monitoring. 🌱 She has received prestigious scholarships and keynote speaker invitations at international conferences. πŸ† Her research continues to advance smart farming and sustainable agriculture. πŸŒπŸ“‘

Assist. Prof. Dr Xanthoula Eirini Pantazi Aristotle University of Thessaloniki, School of Agriculture Greece

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Research Expertise 🌾

Assist. Prof. Dr. Xanthoula Eirini Pantazi is a distinguished researcher in biosystems engineering, holding a Ph.D. in Biosystems Engineering from Aristotle University of Thessaloniki, Greece. πŸ›οΈ Her expertise lies in bio-inspired computational systems, data mining, and artificial intelligence applications in agriculture. πŸŒ±πŸ“Š Over the years, she has contributed to 20+ EU-funded research projects, serving as a coordinator and work package leader in multiple Horizon 2020, PRIMA, and ERANET projects. πŸš€ Dr. Pantazi has also authored 26 scientific papers, 9 book chapters, and the monograph “Intelligent Data Mining and Fusion Systems in Agriculture.” πŸ“–

ExperienceΒ πŸš€

Assist. Prof. Dr. Xanthoula Eirini Pantazi has an extensive academic and research background in precision agriculture and bio-systems engineering. Since 2020, she has been an Assistant Professor at the Faculty of Agriculture, Forestry, and Natural Environment at Aristotle University of Thessaloniki, Greece. πŸ›οΈ From 2016 to 2019, she worked as an Adjunct Lecturer, teaching undergraduate courses in agricultural engineering. πŸ“š Additionally, she served as a Research Engineer and Technical Manager at CERTH (2016-2020) and contributed to major EU-funded research projects as a Research Engineer at Aristotle University (2013-2020). πŸ”¬πŸŒΎ

Scholarly Contributions βœοΈπŸ”¬

Assist. Prof. Dr. Xanthoula Eirini Pantazi has significantly contributed to the field of precision agriculture and artificial intelligence through her numerous book chapters. Her work includes data fusion for soil and crop sensing, leaf disease recognition using machine learning, and hyperspectral sensing for weed and crop differentiation. πŸŒΎπŸ“‘ She has co-authored chapters in Springer and Wageningen Academic Publishers, focusing on AI applications in farming, sustainable agriculture, and bioinformatics. Her expertise in remote sensing, spectral data analysis, and machine learning models has helped develop innovative solutions for smart farming and soil health monitoring. πŸšœπŸ€–

πŸ“‘ Scientific Research πŸ”¬πŸŒΎ

Assist. Prof. Dr. Xanthoula Eirini Pantazi has led and contributed to numerous EU-funded and international research projects in precision agriculture, AI-driven crop monitoring, and smart farming solutions. As a principal investigator and work package leader, she has developed machine learning models for disease detection, decision support systems (DSS) for sustainable farming, and sensor fusion techniques for soil and crop health assessment. πŸš€πŸ“Š Her projects include Horizon 2020 initiatives (AfriCultuReS, SiEUSOIL, ATLAS, STARGATE), ICT-AGRI ERANET, and PRIMA projects. Her work integrates AI, robotics, and IoT-based solutions, advancing climate-resilient and precision-driven agricultural systems. πŸŒπŸ€–

Research Focus πŸ”βœ¨

Assist. Prof. Dr. Xanthoula Eirini Pantazi’s research focuses on applying machine learning, advanced sensing, and data fusion in agriculture πŸŒΎπŸ’». Key areas include crop yield prediction using machine learning and sensing techniques πŸ“ŠπŸŒ±, disease detection in plants through image analysis and spectroscopy πŸ¦ πŸ”¬, and weed recognition using hyperspectral sensing and UAV imagery 🚁🌾. She also works on soil health monitoring and water stress detection using multisensor fusion πŸ’§πŸŒ. Dr. Pantazi’s contributions aim to optimize agricultural practices through innovative technologies, improving sustainability and precision in farming 🌿🚜.

Publications πŸ“š

Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning
Authors: Morellos, A., Pantazi, X.E., Almoujahed, M.B., Ε arauskis, E., Mouazen, A.M.
Journal: Computers and Electronics in Agriculture (2025)
πŸŒΎπŸ’»

Non-Destructive Quality Estimation Using a Machine Learning-Based Spectroscopic Approach in Kiwifruits
Authors: Tziotzios, G., Pantazi, X.E., Paraskevas, C., Michailidis, M., Molassiotis, A.
Journal: Horticulturae (2024)
πŸ₯πŸ“Š

A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Authors: Dolaptsis, K., Pantazi, X.E., Paraskevas, C., Bustan, D., Mouazen, A.M.
Journal: Agriculture (2024)
πŸŒΎπŸ€–

Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
Authors: Navrozidis, I., Pantazi, X.E., Lagopodi, A., Bochtis, D., Alexandridis, T.K.
Journal: Remote Sensing (2023)
πŸŒΏπŸ’»

Early Detection of Cavitation in Centrifugal Pumps Using Low-Cost Vibration and Sound Sensors
Authors: Karagiovanidis, M., Pantazi, X.E., Papamichail, D., Fragos, V.
Journal: Agriculture (2023)
βš™οΈπŸ”Š