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 expe
rts 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.
Related
Projects: