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

Profile

ORCID

SCOPUS

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.

Andrews Tang | Sustainability in Material Science | Best Researcher Award

Andrews Tang | Sustainability in Material Science | Best Researcher Award

Mr Andrews Tang, KNUST, Ghana

Mr. Andrews Tang is a distinguished computer engineering graduate (First Class Honours, KNUST) with an impressive academic record ๐ŸŽ“. His pioneering research spans blockchain for food traceability ๐Ÿฝ๏ธ, computer vision for agricultural health ๐ŸŒฑ, and advanced AI models for aviation safety โœˆ๏ธ. Recognized for his inventive solutions, he earned accolades such as the Best Poster Award at Deep Learning Indaba ๐Ÿ†. As a teaching assistant and mentor, he has empowered students through expert guidance ๐Ÿง‘โ€๐Ÿซ. His scholarly publications and leadership as Academic Board Chairperson demonstrate his commitment to academic and research excellence. Andrews Tang embodies innovation and impactful research. ๐ŸŒŸ

Publication Profile

Scopus

Education

Mr. Andrews Tang earned his Bachelor of Science in Computer Engineering from Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana, from August 2018 to November 2022 ๐ŸŽ“. Graduating with First Class Honours, he achieved an impressive Cumulative Weighted Average (CWA) of 76.18% and a final CGPA of 3.74/4.0 (as per WES evaluation) ๐Ÿ“Š. This outstanding academic performance highlights his dedication, technical acumen, and strong grasp of engineering principles. His educational background set a solid foundation for his impactful research and innovations in fields such as blockchain, machine learning, and AI applications. ๐ŸŒŸ

Honours & Awards

Mr. Andrews Tang has earned multiple prestigious awards throughout his academic journey. In 2020, he was honored with the Excellent Studentโ€™s Award and received a scholarship for his BSc. in Computer Engineering from the Ghana National Petroleum Corporation Foundation ๐ŸŽ“. He continued to excel with the Excellent Studentโ€™s Awards in 2022 and 2023 at KNUST ๐Ÿ†. In 2023, he also won the Best Poster Award at the Deep Learning Indaba Conference in Accra for his innovative research ๐Ÿ…. Most recently, in 2024, he became a member of the Black in AI Fellowship, joining an esteemed global community ๐ŸŒ.

Project Experience

Mr. Andrews Tang has gained significant experience through various research roles. In 2022, he developed a deep reinforcement learning agent for block manipulation in the MuJoCo environment, using OpenAI’s Gym and DDPG + HER algorithms ๐Ÿค–. He then worked as a Research Associate at DIPPER Lab, where he tested models for mineral ore recovery prediction, achieving 94% accuracy with Polynomial Regression โ›๏ธ. His contributions to sign language recognition, utilizing Google MediaPipe and transformer models, and the development of an NLP-based tool for systematic literature review screening demonstrated his versatility in both AI and healthcare applications ๐Ÿ“š.

Research Focus

Mr. Andrews Tangโ€™s research spans several innovative fields, with a strong emphasis on blockchain and machine learning applications. His work on decentralized platforms for safe food traceability ๐Ÿ“ฆ and agricultural supply chains ๐ŸŒฑ highlights his focus on blockchain technology and IoT integration. Additionally, his research into deep learning models for detecting palm oil adulteration ๐Ÿด and tomato condition analysis ๐Ÿฅซ demonstrates expertise in computer vision and food safety. His contributions to health informatics through EEG report classification ๐Ÿง  and systematic literature reviews ๐Ÿ“ showcase his adaptability in various scientific fields, solving real-world problems through advanced technologies.

Teaching Experience

Mr. Andrews Tang has demonstrated strong teaching and leadership abilities. As a Teaching Assistant for Robotics and Computer Vision (2024-Present) ๐Ÿง‘โ€๐Ÿซ, he delivered lectures and practical sessions, mentoring students on advanced concepts and real-world applications. He also taught Secure Network Systems (2023) ๐Ÿ”, covering network security and cryptographic protocols, and explored IoT attacks connected to machine learning. As an Undergraduate Project Supervisor (2023) ๐Ÿ‘จโ€๐Ÿ’ป, he guided students through project development and presentations. In leadership, as Academic Board Chairperson (2020-2021) ๐Ÿ“š, he organized tutorials and offered research support, fostering academic growth among his peers.

Publication Top Notes

Assessing blockchain and IoT technologies for agricultural food supply chains in Africa: A feasibility analysis

An Open and Fully Decentralised Platform for Safe Food Traceability

Conclusion

Mr. Andrews Tangโ€™s extensive background in cutting-edge research, practical applications of machine learning, impactful conference presentations, and demonstrated leadership and teaching skills make him an exemplary candidate for the Best Researcher Award. His innovative approaches to solving real-world problems, coupled with multiple accolades and recognitions, underscore his merit for this honor.