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20222026

Research Activity per Year

Overview

Personal Profile

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Andy Berres specializes in geospatial data workflows and data fusion, which they do anywhere from supercomputers and cloud computing to web-based decision support platforms, real-time sensing, and microcontrollers. With their background in computing, Berres has supported a diverse portfolio of projects with data analysis, real-time system monitoring, fault detection, behavioral modeling, and systems integration. Berres is passionate about domain-driven problem-solving and they have applied their skills to projects in a wide range of topics from traffic operations, traffic safety problems, and building energy to ocean models, population dynamics, energy resilience, balance of plant planning, and the energy-water nexus.

Research Interests

Geospatial data science

Energy resilience

Systems integration

Population dynamics

Energy use

Visualization

Professional Experience

Researcher, Oak Ridge National Laboratory (2019-2023)

PostDoc, Oak Ridge National Laboratory (2017-2019)

PostDoc, Los Alamos National Laboratory (2015-2017)

Education/Academic Qualification

PhD, Computer Science, University of Kaiserslautern-Landau in Rhineland-Palatinate, Germany

Master, Computer Science, University of Kaiserslautern-Landau in Rhineland-Palatinate, Germany

Bachelor, Computer Science, University of Kaiserslautern-Landau in Rhineland-Palatinate, Germany

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Collaborations and Top Research Areas From the Past 5 Years

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