Projects

Using AI And ML For Resilient Data Centers Under Extreme Climate Change Events

This paper proposes a prototype decision-support and control system that provides proactive operational planning to improve the resilience of data centers against extreme climate events such as heatwaves. The system integrates AI/ML forecasting, automated crisis response, and carbon emissions tracking to maintain uptime and reduce environmental impact on infrastructure and operations.

• The framework was based on industry-relevant events by incorporating actual world problems, outage case studies, such as Twitter's Sacramento shutdown during the 2022 California heatwave, and Google & Oracle's London failures during the 2022 UK heatwave.

• Designed a dashboard system that combines weather prediction, carbon emissions tracking, and automated response plans to anticipate and mitigate weather related disruptions.

• Developed an incident archive that allows for predictive decision making based on real life events by integrating historical impacts of extreme weather across providers.

• Compared hybrid vs. islanded data center architectures, highlighting trade-offs between grid dependence, renewable integration, and resilience under stress.

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Investigating radiological signatures in converted landfills: a case study of Cesar Chavez park

This research investigates the viability and safety of public spaces built on sites previously contaminated with industrial waste. By utilizing advanced gamma and neutron radiation detectors, the study focuses on Cesar Chavez Park to map and quantify legacy industrial waste, identify potential factors of contamination, and assess the risks of radiation and toxic material leaks into the environment. While no immediate health concerns were detected, the study provides essential insights into the long-term impacts of converting industrial sites into recreational areas. The findings are intended to inform the public and promote safer, sustainable land use practices.

Climate Stressors and Interventions in Jeddah

Collaborated on a comprehensive study to identify and mitigate climate stressors impacting Jeddah, Saudi Arabia, with a focus on flash flooding and extreme heat waves. Proposed sustainable urban solutions, including green infrastructure, improved drainage systems, and adaptive urban planning. The project highlights innovative interventions to protect vulnerable communities while fostering sustainable development. Climate change adaptation, CE108 class project. Team members: Ege Goktekin, Mohammad Hashemi, Yan Qi Liu, Fabian Flosbach and Zainab Alyosha

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