Dr. Graham joined Georgia Tech as an Assistant Professor in January 2023. She completed a President’s Postdoctoral Fellowship at Georgia Tech, and completed her MS and PhD in Environmental Engineering and Science at Stanford University. Prior to that, she received her undergraduate degree at the University of Michigan in Chemical Engineering.

Dr. Graham’s research interests focus on the fate and transport of pathogens and antimicrobial resistance genes in the built and natural environments. Her previous research projects have focused on wastewater-based epidemiology, quantitative microbial risk assessment (QMRA), and the removal of pathogens in green stormwater infrastructure. Her lab aims to use molecular biology, microbiology, and modeling tools to address issues of water, climate, and health domestically and internationally.

Fanijo’s research centres around sustainable and smart-resilient buildings/civil infrastructure with a particular interest in decarbonizing infrastructure using novel low-carbon construction materials and alternative energy sources. Buildings contribute to more than one-third (39%) of the global energy-related CO2 emissions and 35% of global energy consumption, mainly from manufacturing, building materials and transportation. As such, advanced research on developing innovative construction materials is urgently required to address the carbon emissions from materials and construction processes of buildings' life cycle. His research approach includes examining the fresh properties and rheology, early-age cracking, microstructure evaluation, mechanical and durability performance, and life cycle assessment of building systems (particularly cementitious composites) made with these sustainable construction materials. 

He has also conducted research across different disciplines, including cementitious and concrete composites; corrosion monitoring and mitigation; concrete durability; green concrete technology using recycled and by-product materials; 3D printing of cementitious materials; highway pavement; geopolymers; fibre-reinforced concrete; advanced sensing technologies and automation; and non-destructive structural monitoring and evaluation. 

Fanijo received his B.S. in Building Construction with first-class honours from the Obafemi Awolowo University, Nigeria. In 2019, He earned an M.S. in Civil Engineering from the University of Idaho. Subsequently, he got his PhD in Civil Engineering (with a simultaneous Master’s degree – MEng in Material Science and Engineering) from Virginia Tech in 2022. He has worked on numerous funded research projects and published in various peer-reviewed journals and proceedings. Fanijo has also received numerous national and international awards for his excellence in research, with his recent NSBE Golden Torch Award recognized as the graduate student of the year 2022. 

At Georgia Tech, he is passionate about teaching construction materials and methods and their critical role in the design and construction of buildings. Fanijo developed and currently teaching the Construction Materials and Methods Course so that Building Construction students can have in-depth knowledge of building materials and systems, their properties, and their intrinsic relationship to structural systems and environmental performance. He also develops and teaches courses on Green Construction Technology, Concrete Durability and Sustainable Construction Materials and Techniques. 

Fanijo is a Professional Engineer (P.E.) and LEED Green Associate with more than five years of working experience in the construction sector.

Omar I. Asensio is an Associate Professor in the Jimmy and Rosalynn Carter School of Public Policy and the Director of the Data Science & Policy Lab at Georgia Tech. During the 2023-2024 academic year, he was a fellow at the Institute for Business in Global Society at Harvard Business School. Professor Asensio’s research focuses on climate and electrification strategies at the intersection of technology, AI, and sustainability. He employs large-scale data, field experiments, and human-in-the-loop AI systems to address innovation challenges in energy systems, transportation, and human mobility. He contributed to the zero emission vehicles (ZEV) policy guidance for COP26 and the Glasgow Climate Pact.

Prof. Asensio is a member of the U.S. National Academies of Sciences, Engineering, and Medicine (NASEM) New Voices 2021 cohort, which recognizes early- to-mid career leaders for exceptional contributions to science, engineering and medicine. He is a two-time former chair of the Natural Resource, Energy, and Environmental Policy section of APPAM, and is the recipient of the 2023 Faculty Excellence in Research Award from the Ivan Allen College. At Georgia Tech, he is a Brook Byers Institute for Sustainable Systems (BBISS) Fellow and a faculty affiliate of the Institute for Data Engineering & Science (IDEaS), the Machine Learning Center, and the Strategic Energy Institute (SEI).

Professor Asensio has received multiple awards for his research, including the National Science Foundation CAREER Award, the Alliance for Research on Corporate Sustainability (ARCS) Emerging Scholar Award, and the Research Impact on Practice Award (RIPA) from the Academy of Management’s Organizations & the Natural Environment Division (ONE-NBS). His work has been published in leading journals such as Nature Energy, Nature Sustainability, and PNAS. 

Professor Asensio’s research and teaching have been supported by awards from the National Science Foundation, Microsoft, ESRI, the U.S. State Department’s Diplomacy Lab, and the U.S. Department of Energy. His work has informed policy advisory communications for the U.S. National Academy of Sciences, the UK government, the United Nations Economic Commission for Latin America and the Caribbean, and the IndiaAI initiative. His research has been featured in popular press, including Bloomberg, Scientific American, Motor Trend, Fast Company, NPR’s All Things Considered, Yahoo! News, The Huffington Post, and the Washington Post.

Dr. Asensio serves as Associate Editor of Data & Policy journal published by Cambridge University Press. He earned his doctorate in Environmental Science & Engineering with specialties in Economics from UCLA.

Johannes Milz is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. His research focuses on optimization under uncertainty and optimal control of uncertain systems, with a strong emphasis on sustainability applications. By addressing large-scale optimization challenges in physics-based models under uncertainty, he aims to contribute to the development of sustainable energy systems, such as renewable tidal energy farms. Dr. Milz is also dedicated to open science; he develops reproducible numerical simulations and shares them publicly, making his results accessible to a broad group of researchers and practitioners. Prior to joining ISyE, he was a postdoctoral researcher at the Technical University of Munich, where he earned his Ph.D. in Applied Mathematics in 2021.

I am an Assistant Professor at Georgia Tech ISyE. My research concerns the control and operation of decarbonized power systems, particularly with the integration of flexible loads such as electric vehicles. I got my Ph.D. from the University of Oxford in the Energy and Power Group, and completed my postdoc in the GRIFFIN Lab at CU Boulder.

Dr. Akanksha Menon is an Assistant Professor in the Woodruff School of Mechanical Engineering at Georgia Tech. Prior to this, she was a Rosenfeld Postdoctoral Fellow at Lawrence Berkeley National Laboratory, where she performed research on hybrid membrane-thermal desalination processes using solar energy, and she also contributed to the development of thermal energy storage materials. Dr. Menon completed her Ph.D. at Georgia Tech, where she focused on developing semiconducting polymers and new device architectures for thermoelectric energy harvesting. She holds a bachelor's degree from Texas A&M University at Qatar, as well as a master’s degree in Mechanical Engineering from Georgia Tech.

Her research group at Georgia Tech is working on technologies for the water-energy nexus.

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard. Specifically, his research focuses on developing fast, scalable, and parallel computational methods for integrating data and models under high-dimensional uncertainty to make (1) statistical model learning via Bayesian inference, (2) reliable system prediction with uncertainty quantification, (3) efficient data acquisition through optimal experimental design, and (4) robust control and design by stochastic optimization.