Our research is dedicated to the design and utilization of computers with minimal environmental impact, encompassing efforts to reduce energy consumption, minimize waste, and employ sustainable materials. By integrating cutting-edge technologies and innovative methodologies, we aim to develop solutions that not only enhance the efficiency and functionality of computing systems but also contribute to the preservation of our planet. Our multidisciplinary approach involves collaboration with companies and experts in various fields, ensuring that our findings and implementations are both practical and impactful. 

In addition, our research in AI-powered EV Energy Harvesting and Management represents an advanced approach to optimizing energy efficiency and sustainability. The integration of AI enables intelligent decision-making and real-time adjustments, ensuring that energy is harvested and managed most efficiently. This includes predicting energy demand based on driving patterns, optimizing charging schedules, and reducing energy wastage during vehicle operation.

Furthermore, our Trustworthy Campus Energy Trading System is a cutting-edge initiative designed to enhance energy efficiency by enabling the secure and efficient trading of energy resources within the campus community. This system leverages advanced technologies such as blockchain, AI, and IoT to facilitate transparent, reliable, and real-time energy transactions among various campus buildings, facilities, and renewable energy sources. The primary goal of the Trustworthy Campus Energy Trading System is to create a decentralized energy marketplace where surplus energy generated from renewable sources, such as solar panels or wind turbines, can be traded seamlessly. By employing blockchain technology, the system ensures the integrity and security of energy transactions, eliminating the risk of fraud and ensuring trust among participants.