Dr. Hackl’s research focuses on complex infrastructure systems, intelligent risk and resilience assessments to climate change, as well as integrated solutions to future challenges facing our cities and society. His research interests lie at the interface between formal methods in network sciences and their integration with prevailing simulation methods, such as digital twins. He is particularly interested in developing scalable data analytics and machine learning techniques for spatial-temporal networks applied to dynamic processes in complex multiscale civil engineered systems to open and interconnect new perspectives for, e.g., modeling of usage, behavior, and performance; analysis of system integration; as well as detection of systemic risks in socio-technical systems. Another aspect of his work covers integrating these data-driven approaches with physics-based models to create digital twins that can learn from and update based on multiple data sources, as well as represent and predict the current and future conditions of their physical counterparts.

Work on solid ion conductors for advanced energy storage and conversion applications. We are interested in all solid state devices for electrochemical fuel production as well as energy storage systems for electric vehicles. In addition we study low-cost thermal energy storage systems for concentrated solar power integration and production.

Research focuses on the political economy and energy policies of oil producing states in the Persian Gulf.

Seeks to understand the biosphere’s dynamics by developing a new family of theories, and quantitative analyses

Computational imaging at the intersection of computer vision, AI, computer graphics, optics and sensing. Computational optics and holographic displays. Optical computing and computational photonics. Generative AI and neural rendering. Vision and sensing for autonomous robots.

Wind turbine aerodynamics, turbulent drag reduction, turbulent heat transfer, atmospheric fluid mechanics, and instrumentation

Biogeochemical cycles applied to environmental remediation, especially water quality and soils. Bioremediation of uranium-contaminated groundwater; biogeochemical cycling in wetlands including immobilization of toxic metals; methane emissions from rice paddies; nitrogen transformation in urban streams and hydrological infrastructure; linking water quality models with climate change models; bioremediation of recalcitrant pollutants, including PFAS; energy efficient methods for nitrification and denitrification.

Jesse’s research focuses on improving and applying optimization-based energy systems models to evaluate and optimize low-carbon energy technologies, guide investment and research in innovative energy technologies, and generate insights to improve energy and climate policy and planning decisions.

Sensors to reduce electricity and heating costs in buildings; power/thermal analysis and optimization of integrated circuits and systems

Development of molecular simulation approaches for applications in synthetic biology and metabolic engineering; Sustainable chemical synthesis; Thermoresponsive biomaterials; Biosensor engineering.

Sustainable energy, green fuels (e.g. H2, NH3, e-fuels), CO2 reduction and utilization, and energy materials; high pressure combustion, plasma assisted combustion and material synthesis, H2/NH3 production, and thermal chemical and electrochemical energy storage materials, in situ laser diagnostics, and machine learning modeling of interfacial plasma catalysis.

Igor Kaganovich is a Principal Research Physicist, is an expert in theoretical plasma physics. He has an extensive publication record with 200 publications on plasma theory, plasma-surface interactions, plasma-based synthesis and processing of nanomaterials, cross-field discharges, and physics of plasma thrusters. His professional interests include plasma physics with applications to nuclear fusion (heavy ion fusion), gas discharge modeling,  plasma processing, nanomaterial synthesis, kinetic theory of plasmas and gases, hydrodynamics, quantum mechanics, nonlinear phenomena and pattern formation. He was elected a fellow of the American Physical Society in 2007. Among many honors, Dr. Kaganovich, along with PPPL physicist Yevgeny Raitses, received PPPL’s Kaul Foundation Prize for Excellence in Plasma Physics Research and Technology Development in 2019. He is also PPPL Distinguished Research Fellow since 2022. He was the recipient of the Alexander von Humboldt Fellowship in 1996.

Organic thin films and organic electronics for photovoltaics: organic/organic heterojunctions that constitute the core of organic photovoltaic cells; interfaces between organic films and conducting oxides or polymer-functionalized surfaces that constitute the high and low work function anode and cathode of these solar cells; hybrid organic/inorganic semiconductor solar cells; metal halide perovskites and their two-dimensional analogs; chemical doping that increases carrier mobility for improved charge collection

The politics of climate change at various scales, including analysis of individual attitudes,  national policies, and international institutions. How characteristics of individuals, states, and multilateral institutions affect climate policy outcomes.

Nonlinear dynamics tools and multiphase flow modeling are used to understand the interplay of reaction and transport in PEM fuel cells. Multiscale modeling of complex systems with applications to chemical reactions, transport processes, and agent-based models of behavioral dynamics and urban growth

Kingsbury’s research aims to accelerate the development of electrochemical technologies for clean water and clean energy production by advancing fundamental understanding of ion-selective materials such as membranes and electrodes. These materials preferentially absorb or transport charged particles like Lithium or Sodium ions and are found in numerous environmental technologies including water desalination systems, fuel cells, electrolyzers, and flow batteries. We seek to develop a molecular-level understanding of the factors that make these materials selective to certain ions, and use that knowledge to engineer higher-performing materials. Our multi-scale research approach integrates electrochemical and thermodynamic materials characterization methods, first principles simulations, and device testing to understand how materials behave under a wide variety of conditions.

Surface and interfacial processes; plasma-materials interactions in fusion reactors; plasma-enhanced catalysis; photoelectrocatalysis for water splitting and carbon dioxide reduction; alloy catalysis; chemistry of the battery solid electrolyte interphase

Politics and policy making that impact environmental outcomes in poor countries, especially India.

Egemen Kolemen is a Professor at Princeton University’s Mechanical & Aerospace Engineering jointly appointed with the Andlinger Center for Energy and the Environment and the Princeton Plasma Physics Laboratory (PPPL). He is the director of the Program in Sustainable Energy, recipient of the David J. Rose Excellence in Fusion Engineering Award and the American Nuclear Society’s Technical Accomplishment Award, and an ITER Scientist Fellow. His research combines engineering and physics analysis to enable economically feasible fusion reactors. He currently leads research on machine learning, real-time diagnostics and control at KSTAR, NSTX-U, and DIII-D. He directs liquid metal divertor and low temperature diagnostics labs. On the theoretical side, his group develops software for stellarator optimization and economical analysis of fusion reactors.

Larson’s research intersects engineering, environmental science, economics, and public policy. His energy systems modeling and analyses aim at identifying sustainable, engineering-based solutions to major energy-related problems. His work assesses resource, economic, and environmental implications of prospective technology developments and helps inform public and private decision-making in the U.S. and elsewhere. He has published extensively on the design and analysis of advanced biomass and fossil fuel conversion technologies with CO2 capture and storage. He was part of the Princeton team contributing to the National Research Council report, America’s Energy Future: Technology and Transformation (2009). He was a Co-Convening Lead Author of the fossil energy chapter of the major international study, The Global Energy Assessment (2012). He co-led Princeton’s Net-Zero America project (2021), and he is active in the global Rapid Switch initiative established by the Andlinger Center. Larson is an Affiliated Faculty member with the High Meadows Environmental Institute and the Center for Policy Research on Energy and Environment in the School of Public and International Affairs at Princeton.

Fundamentals of combustion, with applications in propulsion, energy and environmental issues; combustion of fuel droplets and sprays; incineration of hazardous wastes; chemistry of flame-generated pollutants; formulation of high-performance propulsion fuels

Deep-learning based anomaly detection. Security of critical infrastructures and cyber-physical systems, including the powergrid. Security of processors, computers, controllers, smartphones, cloud computing, and IOT networks. Side-channel and covert channel attacks.

Ocean turbulence and mixing; understanding small-scale turbulent mixing processes through high-resolution numerical simulations combined with theoretical analysis; deriving new physically-based parameterizations to help improve climate simulations

Design/control of new kinds of sustainable and adaptive environmental sensing and observation systems (special focus on marine environments/ocean)