Five staff members from PNNL received awards from the Department of Energy’s Federal Energy Management Program for contributions to projects for the U.S. Army.
PNNL’s fall Pathways to Excellence award ceremony celebrated nearly 50 staff for their contributions across science, engineering, operations, and STEM education.
PNNL’s Ján Drgoňa and Draguna Vrabie are part of an international team that authored a most-cited paper on Model Predictive Control, an approach for improving operations, energy efficiency, and comfort in buildings.
PNNL’s Reid Hart and Bing Liu have earned individual Champions of Energy Efficiency in Buildings awards from the American Council for an Energy-Efficient Economy.
Arun Veeramany furthers the field of risk, reliability, and resilience in civil and mechanical engineering in his new role as an American Society of Civil Engineers-American Society of Mechanical Engineers journal editorial board member.
Sue Southard's one thousand dives as a PNNL staff member leave a ripple effect on efforts to keep our ocean healthy, our economy thriving, and our waters safe.
Four research staff from PNNL are part of an international team that earned top honors for a journal paper focused on a new algorithm-evaluation approach for buildings.
The eighth Arab-American Frontiers of Science, Engineering, and Medicine Symposium, co-organized by PNNL engineer and research line manager Leonard Pease, brought together multi-disciplinary researchers from around the globe.
Sam Rosenberg, a data research scientist in the Energy and Environment Directorate at PNNL, has been appointed voting member of the Regional Technical Forum for the Northwest Power Conservation Council.
Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.
Electrical engineer Aditya Ashok and cybersecurity researcher Thomas Edgar win best paper award for their work to create a new high-fidelity dataset that will help advance cybersecurity solutions for critical infrastructure protection.