Empowering Carbon Reduction Through Technology
Project Name: Smart Green
Funding Organization: AlphaNest, Innovation Energy, AIC
Project Duration: September 2022 to present
The Smart Carbon Project harnesses AI and IoT to revolutionize carbon emission management, ensuring real-time monitoring and optimization for a sustainable future.
Key Players
Charles Liew: Charles Liew serves as the Research and Development (R&D) and Technical Director for the environmental and carbon credit project. Leveraging his extensive expertise in electronic computing technologies, Charles directs all technological advancements and innovations. His responsibilities include integrating cutting-edge technologies, advancing project capabilities, and spearheading innovations to meet the dynamic requirements of environmental and carbon credit initiatives.
Yun Dong: Yun Dong oversees technical development project management for the environmental and carbon credit project. With a strong background in electronic computing technologies, Yun excels in managing the technical development lifecycle. Her role encompasses coordinating various technical facets, ensuring milestone achievement, and integrating advanced computing technologies to optimize system performance.
Teresa Gambino: Teresa Gambino excels as a Business Manager and Accountant with extensive experience in business design, marketing, public relations, client relations, and financial management. Her role involves overseeing business operations, managing client relationships, and ensuring legal compliance. With her deep expertise in R&D project management and accounting, Teresa adeptly handles financial oversight and strategic business functions within the team.
Xinyi Zou: Xinyi Zou is responsible for data processing and programming within the environmental and carbon credit project. Drawing on her proficiency with electronic computing platforms, Xinyi effectively manages complex data processing tasks and develops programming solutions critical to system functionality. Her work ensures precise data handling and optimal utilization to enhance system capabilities.
Yuehan Cao: Yuehan Cao focuses on algorithm design and system development for the environmental and carbon credit project. Her specialization in electronic computing technologies is crucial for crafting algorithms that drive system functionalities. Yuehan plays a key role in designing robust algorithms and developing the system architecture to enhance performance and adaptability.
Yuming Zhu: Yuming Zhu is involved in system development and programming for the environmental and carbon credit project. With a solid foundation in electronic computing technologies, Yuming is responsible for executing programming tasks and contributing to the development of system software components. His work includes code implementation and system feature integration to achieve project objectives.
Ray Marcelo Gunawan: Ray Marcelo Gunawan serves as an IoT Engineer Developer, specializing in sensor and hardware module design for the environmental project. His expertise in digital twin technology and AI computing is pivotal in developing advanced digital models and optimizing algorithms. Ray’s role involves integrating digital twin and AI technologies to maintain the system’s technological leadership and accuracy.
Norman Mo: Norman Mo is a Digital Twin and AI Computing Engineer specializing in algorithm optimization for the environmental and carbon credit project. His expertise encompasses the development of digital twin models and the application of AI computing technologies to refine algorithms. Norman’s role is critical in optimizing system performance and accuracy through advanced algorithmic techniques and the integration of digital twin concepts.
Smart Carbon
Transforming carbon management through AI and IoT technologies.
Real-time Monitoring
Enhancing accuracy in carbon emission analysis and management.
Smart Computing
Leveraging advanced algorithms for effective carbon sequestration.
IoT Sensors
Utilizing sensors for precise monitoring of emissions.
Bio Ecology Efficiency Focus
Maximizing effectiveness in carbon reduction processes.
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Smart Carbon Solutions
Optimizing carbon emissions through advanced AIoT technologies for real-time monitoring and management.
Real-Time Monitoring
Utilizing IoT sensors for accurate carbon emission tracking and analysis in real-time.
AI Algorithm Integration
Leveraging cutting-edge AI algorithms to enhance carbon sequestration efficiency and effectiveness.
Data-Driven Insights
Providing actionable insights for effective carbon management and emission reduction strategies.
Smart Carbon Solutions
Transforming carbon management with AI and IoT for real-time emission reduction and efficiency optimization.