Dr Guohang Tang | Sustainability in Material Science | Best Researcher Award

Dr Guohang Tang | Sustainability in Material Science | Best Researcher Award

Dr. Guohang Tang is a doctoral researcher at Tongji University, specializing in geotechnical engineering and environmental sustainability ๐Ÿ—๏ธ. His research focuses on COโ‚‚ geological sequestration and the adsorption behavior of clay minerals, particularly illite โ›๏ธ. His work provides critical insights into how moisture content and temperature influence COโ‚‚ storage efficiency, contributing to climate change mitigation ๐ŸŒฑ. He has published in SCI-indexed journals, such as Applied Clay Science and Measurement ๐Ÿ“š. With expertise in carbon capture and storage (CCS) technologies, his research is paving the way for sustainable environmental engineering solutions ๐Ÿ†.

Dr Guohang Tang, Tongji University, China

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Academic and Professional Background๐ŸŽ“๐ŸŒ

Dr. Guohang Tang is a doctoral researcher at Tongji University, specializing in geotechnical engineering and environmental sustainability ๐Ÿ—๏ธ. His research focuses on COโ‚‚ geological sequestration and the adsorption behavior of clay minerals, particularly illite โ›๏ธ. His studies provide critical insights into COโ‚‚ interactions with geological materials, helping to improve carbon capture and storage (CCS) strategies ๐ŸŒฑ. With extensive experience in environmental geotechnics, his work aims to enhance the efficiency of COโ‚‚ sequestration under different moisture and temperature conditions ๐Ÿ”ฌ. His contributions to sustainable engineering solutions are vital for addressing climate change challenges ๐Ÿ†โœจ.

Research and Innovations๐ŸŒฑ

Dr. Guohang Tangโ€™s research focuses on COโ‚‚ geological sequestration, clay mineralogy, and adsorption mechanisms ๐Ÿ—๏ธ. He is currently working on a project analyzing COโ‚‚ interactions with clay minerals, particularly illite โ›๏ธ. His studies explore moisture content and temperature effects on COโ‚‚ sequestration efficiency, aiding in the optimization of geological storage strategies ๐ŸŒฑ. He has published in SCI-indexed journals such as Applied Clay Science and Measurement ๐Ÿ“š. With a citation index of 10.5, his research significantly contributes to sustainable carbon capture solutions, addressing global climate change challenges ๐Ÿ†โœจ.

Research Focus๐Ÿ”ฌ

Dr. Guohang Tangโ€™s research primarily focuses on COโ‚‚ geological sequestration, soil mechanics, and environmental geotechnics ๐Ÿ—๏ธ. His work explores adsorption mechanisms in clay minerals, particularly illite, and how moisture content and temperature affect COโ‚‚ storage efficiency โ›๏ธ. He also investigates soil freezing phase transitions, moisture migration, and soil suction measurement using polymer optical fiber (POF) sensors ๐ŸŒฑ. His studies on soft soil composite foundations and geotechnical stability contribute to sustainable infrastructure and environmental protection ๐Ÿญ. Through advanced experimental techniques and numerical simulations, his research enhances carbon capture, soil mechanics, and ground engineering strategies ๐Ÿ†โœจ.

Publications๐Ÿ“š

1๏ธโƒฃ Real-time determination of soil suction in unsaturated clay based on POF sensor
๐Ÿ–Š๏ธ Authors: Tang, G., Ma, X., Zhang, H., Liu, Z., He, Y.
๐Ÿ“– Journal: Measurement: Journal of the International Measurement Confederation (2025)

2๏ธโƒฃ Visualization of soil freezing phase transition and moisture migration using polymer optical fibers
๐Ÿ–Š๏ธ Authors: Zhang, H., Zhang, H., Liu, Z., Tang, G., Ma, X.
๐Ÿ“– Journal: Measurement: Journal of the International Measurement Confederation (2024)

3๏ธโƒฃ Load-bearing response of deep content mixing soft soil composite foundation based on the geotechnical centrifugal model test
๐Ÿ–Š๏ธ Authors: Lin, Y., Tang, G., Ma, X., Ma, C.Y., Wang, Z.
๐Ÿ“– Journal: IOP Conference Series: Earth and Environmental Science (2024)

4๏ธโƒฃ Numerical analysis of failure mechanism and stability of reinforced embankment with DCM soft soil composite foundation
๐Ÿ–Š๏ธ Authors: Ma, X.F., Ma, C.Y., Lin, Y.G., Tang, G.H., Wang, Z.H.
๐Ÿ“– Journal: IOP Conference Series: Earth and Environmental Science (2024)

5๏ธโƒฃ Experimental study on influence of filter mesh size on radial permeability of sand
๐Ÿ–Š๏ธ Authors: Tang, G., Wang, N., Liu, S., Jie, Y.
๐Ÿ“– Journal: Journal of Beijing University of Aeronautics and Astronautics (2023)

6๏ธโƒฃ One-dimensional pot cover effect for migration of gaseous water based on PDV model
๐Ÿ–Š๏ธ Authors: Tang, G.-H., Wang, N.-D., Yao, Y.-P.
๐Ÿ“– Journal: Chinese Journal of Geotechnical Engineering (2022)

These publications reflect Dr. Tangโ€™s expertise in soil mechanics, COโ‚‚ sequestration, and geotechnical engineering ๐ŸŒ๐Ÿ—๏ธโœจ.

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

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

๐ŸŒพ Dr. Xanthoula Eirini Pantazi is an Assistant Professor at Aristotle University of Thessaloniki, specializing in precision agriculture, artificial intelligence, and biosystems engineering. ๐ŸŽ“ She holds a Ph.D. in Biosystems Engineering and has contributed extensively to AI-driven agricultural solutions, machine learning, and sensor fusion. ๐Ÿš€ 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. ๐ŸŒฑ She has received prestigious scholarships and keynote speaker invitations at international conferences. ๐Ÿ† Her research continues to advance smart farming and sustainable agriculture. ๐ŸŒ๐Ÿ“ก

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

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Research Expertise ๐ŸŒพ

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. ๐Ÿ›๏ธ Her expertise lies in bio-inspired computational systems, data mining, and artificial intelligence applications in agriculture. ๐ŸŒฑ๐Ÿ“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. ๐Ÿš€ Dr. Pantazi has also authored 26 scientific papers, 9 book chapters, and the monograph “Intelligent Data Mining and Fusion Systems in Agriculture.” ๐Ÿ“–

Experienceย ๐Ÿš€

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. ๐Ÿ›๏ธ From 2016 to 2019, she worked as an Adjunct Lecturer, teaching undergraduate courses in agricultural engineering. ๐Ÿ“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). ๐Ÿ”ฌ๐ŸŒพ

Scholarly Contributions โœ๏ธ๐Ÿ”ฌ

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. ๐ŸŒพ๐Ÿ“ก 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. ๐Ÿšœ๐Ÿค–

๐Ÿ“ก Scientific Research ๐Ÿ”ฌ๐ŸŒพ

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. ๐Ÿš€๐Ÿ“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. ๐ŸŒ๐Ÿค–

Research Focus ๐Ÿ”โœจ

Assist. Prof. Dr. Xanthoula Eirini Pantazi’s research focuses on applying machine learning, advanced sensing, and data fusion in agriculture ๐ŸŒพ๐Ÿ’ป. Key areas include crop yield prediction using machine learning and sensing techniques ๐Ÿ“Š๐ŸŒฑ, disease detection in plants through image analysis and spectroscopy ๐Ÿฆ ๐Ÿ”ฌ, and weed recognition using hyperspectral sensing and UAV imagery ๐Ÿš๐ŸŒพ. She also works on soil health monitoring and water stress detection using multisensor fusion ๐Ÿ’ง๐ŸŒ. Dr. Pantazi’s contributions aim to optimize agricultural practices through innovative technologies, improving sustainability and precision in farming ๐ŸŒฟ๐Ÿšœ.

Publications ๐Ÿ“š

Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning
Authors: Morellos, A., Pantazi, X.E., Almoujahed, M.B., ล arauskis, E., Mouazen, A.M.
Journal: Computers and Electronics in Agriculture (2025)
๐ŸŒพ๐Ÿ’ป

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)
๐Ÿฅ๐Ÿ“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)
๐ŸŒพ๐Ÿค–

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)
๐ŸŒฟ๐Ÿ’ป

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)
โš™๏ธ๐Ÿ”Š

Werkne Sorsa | materials | Sustainable Materials Recognition

Werkne Sorsa | materials | Sustainable Materials Recognition

Mr Werkne Sorsa, Jimma university and Applied forest university Germany, Ethiopia

๐ŸŒ Mr. Werkne Sorsa is a dedicated Senior Lecturer and researcher in the School of Chemical Engineering at Jimma University Institute of Technology. With a focus on ๐ŸŒฑ sustainable environmental engineering, he specializes in nanomaterials and has conducted impactful research on eco-friendly solutions, such as calcium oxide nanoparticles from corncobs and eggshells for cadmium removal. His technical skills include MATLAB, advanced analytical techniques (NMR, FTIR), and laboratory coordination. ๐Ÿ“Š His recent publications on water remediation and waste management emphasize green chemistry approaches, making him a strong candidate for the ๐ŸŒ Sustainable Materials Recognition award.

Publication Profile

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Professional Highlights

Mr. Werkne Sorsa is a Senior Lecturer and researcher in the School of Chemical Engineering at Jimma University Institute of Technology. With a focus on environmental engineering and nanomaterials, his work includes developing sustainable processes for industrial applications and conducting experiments on nanoparticles for environmental remediation.

Academic Background

Mr. Sorsa holds an MSc in Environmental Engineering, with projects emphasizing sustainable solutions such as producing fuel oil from waste plastics and eco-friendly hand sanitizers. His research includes synthesizing corncob-supported calcium oxide nanoparticles from eggshells for removing cadmium from aqueous solutions.

Technical Skills

Mr. Sorsa is proficient in MATLAB, Excel, and advanced analytical instrumentation, including NMR and FTIR. His skills extend to chemical engineering software and laboratory coordination, contributing to his effective research practices.

Research Focus

๐Ÿ”ฌ Mr. Werkne Sorsaโ€™s research centers on environmental remediation and sustainable water treatment. His work explores innovative approaches using natural and waste-derived materials like corncob-supported calcium oxide nanoparticles and biochar to tackle heavy metal contamination in water. His projects include cadmium and chromium removal from wastewater and nutrient extraction from coffee industry effluents using constructed wetlands. With methodologies like electrocoagulation and response surface analysis, Mr. Sorsa’s studies contribute to eco-friendly and cost-effective treatment solutions, emphasizing waste-to-resource innovations โ™ป๏ธ and green chemistry ๐ŸŒฑ. His research is vital for advancing sustainable environmental engineering practices\

Publication Top Notes

Corncob-supported calcium oxide nanoparticles from hen eggshells for cadmium (Cd-II) removal from aqueous solutions; Synthesis and characterization

Conclusion

Mr. Werkne Sorsaโ€™s expertise in environmental engineering and sustainable materials positions him as an ideal candidate for the Sustainable Materials Recognition award. His research, which combines chemical engineering with environmental remediation, contributes significantly to eco-friendly and sustainable practices, underscoring his impact in the field.