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. 🌟
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 🎓. 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.
Publication Top Notes
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.