Stanford University
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Anthony Kinslow II
Lecturer
BioAnthony, the Founder and CEO of Gemini Energy Solutions, is an expert in energy efficiency analytics and building science and a research-oriented practitioner who utilizes best practices from around the world to develop innovative solutions for his clients. His company's focus is reflective of Anthony's mission in life — making a meaningful impact on mitigating global warming. In Gemini, Anthony has created a vehicle to engage, educate, and energize underrepresented minority communities and the underserved small commercial building market in energy efficiency. Under Anthony’s leadership, Gemini is implementing strategies for overcoming cultural and socio-economic barriers that prevent the vast majority of Americans from being aware or engaged in energy efficiency. Operating nationwide, the company also partners with municipalities — such as San Francisco International Airport and Memphis, TN — to support their efforts to meet their climate change goals and increase economic resiliency through energy efficiency.
Education:
PhD, Stanford University, Civil and Environmental Engineering
MS, Stanford University, Sustainable Design and Construction
BS, North Carolina A&T State University, Civil and Environmental Engineering
Courses:
Racial Equity in Energy
Quest for an Inclusive Clean Energy Economy -
Anne Kiremidjian
The C.L. Peck, Class of 1906 Professor in the School of Engineering, Emerita
BioKiremidjian’s research focuses in two main areas. The first is in earthquake hazard, risk, and resilience modeling. She works on structural component and systems reliability methods; structural damage evaluation models; and regional damage, loss and casualty estimation methods utilizing geographic information and database management systems for portfolios of buildings or spatially distributed lifeline systems assessment with ground motion and structure correlations. Her current research has focused on the development of time dependent hazard and risk models for resilience evaluation of hospitals, schools and financial instruments. In the area of time dependent risk assessment, she has developed models for damage estimation of deteriorating structures in varying environmental conditions.
The second area of research focuses on the design and implementation of wireless sensor networks for health monitoring of structures under every-day loading conditions, and the development of robust and computationally efficient algorithms for structural damage diagnosis following extreme events that can be embedded in wireless sensing units. The damage algorithms utilize modern data science, machine learning and artificial intelligence methods.
