Sustainable Computing

• Powerand thermal-aware algorithms,  software, and hardware

• Low-power electronics and systems

• Power-efficient multi/many-core chip design

• Application-specific ASICs and FPGAs

• Sensing and monitoring

• Power and thermal behavior and control

• Data centers optimization

• Smart grid and microgrids

• Power-efficient delivery and cooling

• Reliability, life-cycle analysis of ITequipment

Computing for Sustainability

• Renewable energy models and prediction

• Matching energy supply and demand

• Smart transportation and electric vehicles

• Smart buildings and urban computing

• Energy harvesting, storage, and recycling

• Climate and ecosystem monitoring

• IT solutions for water quality, air pollution, and sustainable agriculture

• Computational models for epidemics, infectious diseases, and human well-being

• Computational methods for sustainable economy and society