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 🏗️. His research focuses on CO₂ geological sequestration and the adsorption behavior of clay minerals, particularly illite ⛏️. His work provides critical insights into how moisture content and temperature influence CO₂ storage efficiency, contributing to climate change mitigation 🌱. He has published in SCI-indexed journals, such as Applied Clay Science and Measurement 📚. With expertise in carbon capture and storage (CCS) technologies, his research is paving the way for sustainable environmental engineering solutions 🏆.

Dr Guohang Tang, Tongji University, China

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Academic and Professional Background🎓🌍

Dr. Guohang Tang is a doctoral researcher at Tongji University, specializing in geotechnical engineering and environmental sustainability 🏗️. His research focuses on CO₂ geological sequestration and the adsorption behavior of clay minerals, particularly illite ⛏️. His studies provide critical insights into CO₂ interactions with geological materials, helping to improve carbon capture and storage (CCS) strategies 🌱. With extensive experience in environmental geotechnics, his work aims to enhance the efficiency of CO₂ sequestration under different moisture and temperature conditions 🔬. His contributions to sustainable engineering solutions are vital for addressing climate change challenges 🏆✨.

Research and Innovations🌱

Dr. Guohang Tang’s research focuses on CO₂ geological sequestration, clay mineralogy, and adsorption mechanisms 🏗️. He is currently working on a project analyzing CO₂ interactions with clay minerals, particularly illite ⛏️. His studies explore moisture content and temperature effects on CO₂ sequestration efficiency, aiding in the optimization of geological storage strategies 🌱. He has published in SCI-indexed journals such as Applied Clay Science and Measurement 📚. With a citation index of 10.5, his research significantly contributes to sustainable carbon capture solutions, addressing global climate change challenges 🏆✨.

Research Focus🔬

Dr. Guohang Tang’s research primarily focuses on CO₂ geological sequestration, soil mechanics, and environmental geotechnics 🏗️. His work explores adsorption mechanisms in clay minerals, particularly illite, and how moisture content and temperature affect CO₂ storage efficiency ⛏️. He also investigates soil freezing phase transitions, moisture migration, and soil suction measurement using polymer optical fiber (POF) sensors 🌱. His studies on soft soil composite foundations and geotechnical stability contribute to sustainable infrastructure and environmental protection 🏭. Through advanced experimental techniques and numerical simulations, his research enhances carbon capture, soil mechanics, and ground engineering strategies 🏆✨.

Publications📚

1️⃣ Real-time determination of soil suction in unsaturated clay based on POF sensor
🖊️ Authors: Tang, G., Ma, X., Zhang, H., Liu, Z., He, Y.
📖 Journal: Measurement: Journal of the International Measurement Confederation (2025)

2️⃣ Visualization of soil freezing phase transition and moisture migration using polymer optical fibers
🖊️ Authors: Zhang, H., Zhang, H., Liu, Z., Tang, G., Ma, X.
📖 Journal: Measurement: Journal of the International Measurement Confederation (2024)

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

4️⃣ Numerical analysis of failure mechanism and stability of reinforced embankment with DCM soft soil composite foundation
🖊️ Authors: Ma, X.F., Ma, C.Y., Lin, Y.G., Tang, G.H., Wang, Z.H.
📖 Journal: IOP Conference Series: Earth and Environmental Science (2024)

5️⃣ Experimental study on influence of filter mesh size on radial permeability of sand
🖊️ Authors: Tang, G., Wang, N., Liu, S., Jie, Y.
📖 Journal: Journal of Beijing University of Aeronautics and Astronautics (2023)

6️⃣ One-dimensional pot cover effect for migration of gaseous water based on PDV model
🖊️ Authors: Tang, G.-H., Wang, N.-D., Yao, Y.-P.
📖 Journal: Chinese Journal of Geotechnical Engineering (2022)

These publications reflect Dr. Tang’s expertise in soil mechanics, CO₂ sequestration, and geotechnical engineering 🌍🏗️✨.

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 🎓. His pioneering research spans blockchain for food traceability 🍽️, computer vision for agricultural health 🌱, and advanced AI models for aviation safety ✈️. Recognized for his inventive solutions, he earned accolades such as the Best Poster Award at Deep Learning Indaba 🏆. As a teaching assistant and mentor, he has empowered students through expert guidance 🧑‍🏫. His scholarly publications and leadership as Academic Board Chairperson demonstrate his commitment to academic and research excellence. Andrews Tang embodies innovation and impactful research. 🌟

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 🎓. 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) 📊. 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. 🌟

Honours & Awards

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

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 🤖. 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 ⛏️. 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 📚.

Research Focus

Mr. Andrews Tang’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 📦 and agricultural supply chains 🌱 highlights his focus on blockchain technology and IoT integration. Additionally, his research into deep learning models for detecting palm oil adulteration 🍴 and tomato condition analysis 🥫 demonstrates expertise in computer vision and food safety. His contributions to health informatics through EEG report classification 🧠 and systematic literature reviews 📝 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) 🧑‍🏫, he delivered lectures and practical sessions, mentoring students on advanced concepts and real-world applications. He also taught Secure Network Systems (2023) 🔐, covering network security and cryptographic protocols, and explored IoT attacks connected to machine learning. As an Undergraduate Project Supervisor (2023) 👨‍💻, he guided students through project development and presentations. In leadership, as Academic Board Chairperson (2020-2021) 📚, he organized tutorials and offered research support, fostering academic growth among his peers.

Conclusion

Mr. Andrews Tang’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.