adrian albert

Research Scientist @ LBNL

1 Cyclotron Rd, Bldg. 59
Berkeley, CA 94720

adalbert (at)

Prior affiliations:
MIT Civil and Environmental Engineering
C3 IoT
Stanford Electrical Engineering
Precourt Energy Efficiency Center (PEEC)
Stanford Sustainable Systems Lab (S3L)

Twitter: @laceasdetaina
GitHub: adrianalbert

January 2018

I will join the Lawrence Berkeley National Lab (LBNL) as a research scientist, working within the National Energy Supercomputing Center (NERSC) and the Energy Technologies Area (ETA) on physics-informed generative machine learning models.

about     CV     publications     professional     past projects    


I'm a research scientist at the Lawrence Berkeley National Laboratory (LBNL), working between the Energy Technolgies Area (ETA) and the National Energy Research Supercomputing Center (NERSC) on physics-informed and generative machine learning models. Previously I have been a postdoctoral scholar with the Civil and Environmental Engineering Department at MIT, and held a research scientist affiliation with the Grid, Mobility, and System Integration group with the Applied Program at SLAC. My work is on computational methods (with a focus on machine learning/AI) for analyzing and optimizing energy, infrastructure, industrial, and natural resources systems. Of particular interest are methods to integrate, process, and harness novel satellite, sensor, and human-generated data.

Previously, I have spent two years as a senior data scientist at C3 IoT, a machine learning startup in the San Francisco Bay Area, working on failure prediction and anomaly detection algorithms for large-scale infrastructure systems and industrial machinery. I obtained my PhD in Electrical Engineering at Stanford University working on machine learning methods for smart grid applications.

research interests
  • Machine learning, computer vision, remote-sensing, operations research
  • Energy, natural resources, and cities.

journal papers

Albert, A., Maasoumy, M. Predictive segmentation of energy consumers. Applied Energy, 2016. pdf

Albert, A., Rajagopal, R. Finding the right users for thermal demand-response: an experimental evaluation. IEEE Transactions on the Smart Grid, 2016. pdf

Albert, A., Rajagopal, R. Thermal profiling of residential energy consumption. IEEE Transactions on Power Systems PP(99), 2014. pdf

Albert, A., Rajagopal, R. Cost-of-service segmentation of energy consumers. IEEE Transactions on Power Systems, 6(29), 2014.pdf

Albert, A., Rajagopal, R. Smart meter driven segmentation: what your consumption says about you. IEEE Transactions on Power Systems, 4(28), 2013. pdf

Armel, C., Gupta, A., Shrimali, G., Albert, A. Disaggregation: the Holy Grail of Energy Efficiency? Energy Policy, (2012). pdf

Vogt, J., Albert, A., and Marghitu, O.: Analysis of three-spacecraft data using planar reciprocal vectors: methodological framework and spatial gradient estimation, Ann. Geophys., 27, 3249-3273, 2009. pdf

peer-reviewed conference papers

Albert, A., Kaur, J., Gonzalez, M. C. Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale. ACM KDD, Halifax, Nova Scotia, 2017. arXiv

Albert, A., Rajagopal, R. Strategic scheduling of energy consumers. IEEE Conference on Decision and Control, December 2015, Osaka, Japan. pdf

Albert, A., Gebru, T., Ku, J., Kwac, J., Leskovec, J., Rajagopal, R. Drivers of variability in energy consumption. ECML-PKDD DARE Workshop on Energy Analytics. pdf

Albert, A., Rajagopal, R. Building dynamic thermal profiles of energy consumption for individuals and neighborhoods. IEEE Big Data Conference, 2013. pdf

Albert, A., Schafer, A. Demand for freight transportation in the U.S.: a high-level, data-driven view. Transportation Research Forum, Annapolis, MD, March 2013. pdf

Gomes, N., Merugu, D., O'Brien, G., Mandayam, C., Yue, T., Atikoglu, B., Albert, A., Fukumoto, N., Liu, H., Prabhakar, B., Wischik, D. “Steptacular: an incentive mechanism for promoting wellness”. NetHealth, 2012. pdf

Albert, A., Rajagopal, R., Sevlian, R. Power Demand Distributions: Segmenting Consumers using Smart Meter Data. ACM SenSys (BuildSys) 2011. pdf


Problems, models, and algorithms for data-driven energy demand management. Stanford University, 2014. pdf

professional activities

Technical advisor and founding team member at Myriad Sensors

Myriad Sensors builds Pocket Lab, a sensing and analytics platform for performing on-the-go scientific experiments focused on physical sciences. Our first product targets students, educators, and citizen scientists.

past projects

MSc and BSc theses

Multi-point data analysis for magnetospheric multi-spacecraft missions (MSc Thesis)

For my MSc Thesis research with Prof. Joachim Vogt at Jacobs University Bremen I developed a novel method for processing time series of three-point magnetospheric satellite data. Part of this work has been published (another part sadly never made it to the editor…) slides

Efficient calculations of cosmic particle fluxes in paleomagnetospheres (BSc Thesis)

My BSc thesis with Prof. Joachim Vogt investigated a computationally-efficient method for calculating charged particle fluxes in magnetic fields by considering trajectories of particle populations that were relevant to final flux integration.

conference presentations on MSc and BSc research

Albert, A., Vogt, J., Marghitu, O. Three-spacecraft gradient calculations: accuracy studies and vorticty calculations. International Association of Geomagnetism and Aeronomy (IAGA) 2009 General Assembly, Sopron, Hungary (oral presentation). pdf

Albert, A., Vogt, J., Marghitu, O. Analysis of three-spacecraft data using planar reciprocal vectors. American Geophysical Union Fall Meeting 2008, San Francisco (poster presentation). pdf

Albert, A., Vogt, J., Zieger, B. Efficient calculation of cosmic particle fluxes in paleomagnetospheres. German Geophysical Society Meeting, Bremen 2005 (oral presentation).

Selected internship research projects

Inferring high level personal mobility choices from sparse gps data

In summer 2010 I worked at IBM Almaden Research Center on developing an integrated system that uses GPS information provided by smartphones to analyze and model individuals’ mobility choices. The system collects GPS data from Android and iPhone devices via native apps, sends it automatically to a server, performs analytics, and lets the user view and interact with the results in a web portal. We were interested in extracting high-level travel patterns and dominant choices that could be used as input for a map model-aware route prediction tool.

Lighting authoring effort analysis

We analyzed the authoring effort for several Pixar movies (Ratatouille, Wall-E, and UP) for lighting versus animation effects. Insights of the statistics were used to support research decisions in front of Pixar management (results and written materials are confidential).

Multi-sensor electric field change networks for lighting research

At NASA MSFC I worked in the atmospheric and lightning physics group on developing a software package for analyzing electric field change data from an array of sensors in the Huntsville, AL area. poster

Numerical investigation of the kelvin-helmholtz instability

As a summer REU project at the University of California, Santa Barbara, we proposed a novel regularizing scheme for the Birkhoff-Rott equation of an ideal vortex sheet, based on an exponential smoothing term, and performed numerical experiments of the sheet's stability. slides

Efficient simulation of many colliding deformable objects

I participated in RIPS (Research in Industrial Projects for Students) at UCLA, where I worked in the Pixar team on developing a computationally-efficient approach for simulating many colliding deformable objects for Pixar's Ratatouille. pdf

Selected internship technical reports

Albert, A., Bitzer, P., Christian, H., Blakeslee, R. BLITZER: A data analysis system for lighting research. NASA Marshall Space Flight Center Intern Colloquium periodical 2008. pdf

Albert, A., Atanasova, D., Creech, K., Scott, J. Desingularization of a vortex sheet using a variable smoothing parameter. University of California, Santa Barbara Mathematics Colloquium, 2007. pdf

Albert, A., Bachmayr, M., Wiener, J., Effinger-Dean, l. Efficient simulation of many colliding deformable objects for set-dressing and animation. Technical report for Pixar Animation Studios, 2006. pdf

Selected class projects

Visualizing the U.S. freight network

This is a small dashboard I put together for Jeff Heer's visualization class. It describes inter- and intra-state flows of freight and some of its determining factors. Note that for some browsers the zoom setting might need to be adjusted.