Dr. Haitam Laarabi is a Project Scientist in the Sustainable Energy Systems Group of the Energy Technologies Area (ETA) at the Lawrence Berkeley National Laboratory (LBNL). He is currently co-lead BEAM development and the architect of all combinatorial optimization algorithms in BEAM, the Modeling Framework for Behavior, Energy, Autonomy, and Mobility under DOE SMART Mobility. He is also Lead BEAM implementations for the multi-lab DOE project Grid Enhanced Mobility Integrated Network Infrastructures for eXtreme Fast Charging (GEMINI-XFC).
Before joining LBNL, Haitam was a Postdoctoral Researcher at the Institute of Informatics and Telematics of the National Research Council in Italy (IIT-CNR). During that time, he worked on two H2020 EU Projects regarding EV Charging in Smart Cities (REPLICATE) and an innovative Electric Car-Sharing concept (ESPRIT). He pursued his Ph.D. studies in a joint collaboration between the University of Genova in Italy and Ecole des Mines de Paris in France. The PhDs are respectively in the Monitoring of Systems and Environmental Risks Management and the Sciences and Engineering of Hazardous Activities. The studies have successfully concluded with the thesis “Multicriteria route optimization for dangerous goods transport using fuzzy risk assessment and agent-based traffic simulation”. He holds a M.Sc.Eng. in Software Engineering from the Faculty of Sciences and Techniques of Mohammedia in Morocco and a B.Sc. in Mathematics and Computer Science from the Faculty of Sciences Ain Chock Casablanca. He also has experience in Industry before and after graduation, where he worked as an Intern and as a full-time Software Engineer on projects funded by the French telecommunication company SFR and the automotive company PSA Peugeot Citroën.
Haitam’s long term research interest is to bring more of the computer science thinking into the mobility decision science in terms of fairness, equity and sustainability.