Riyadh, Saudi Arabia
Iam a car diagnosis and electronics technical & i have Experincess in embeded system
Lead data assessment workgroup and develop collaborative research with federal and state governments, research institutes, municipalities, NGOs, and industries. Develop databases and data-driven models to understand complex environmental issues, identify key factors and causal links, support monitoring, mitigation and regulatory actions. -Developed knowledge-guided statistical learning model: merging fragments of environmental monitoring data from many sources and compiling supporting data on watershed characteristics, pollution sources, management and weather history, organizing the data according to prior knowledge, training statistical learning models to understand the pattern and identify key factors. -Developing causal model: building causal network and evaluating the strength and confidence of causal links, identifying data gaps. -Developed adaptive water quality assessment framework that unifies data with physical, statistical and causal modeling through communication among the modeling platforms and feedback to the databases. -Provide statistical consultation to scientists in DPR, sister agencies, regional monitoring programs, and non-profit research organizations. -Collaborators: USEPA, USGS, California State Water Resources Control Board, California Department of Water Resources, Stanford University, University of California, Western Washington University, San Francisco Estuary Institute, Southern California Coastal Water Research Projects, Metropolitan Water District of Southern California, California Storm Water Quality Association, California Rice Commission, and California Urban Water Conservation Council. -Connect with data science hubs: Internet-of-Water, Western Big Data Innovation Hub, California Water Data Consortium, University of California-Davis Center for Data Science and Artificial Intelligence Research, University of California-Berkeley Institute for Data Science, Lawrence Berkeley National Laboratory Data Science and Technology Department
Conducting collaborative and original research: -Conducted statistical analysis and modeling of environmental monitoring data -Designed environmental monitoring projects & research experiments -Participated in the California Urban Water Conservation Council (CUWCC) Landscape Committee that designed the Landscape Conversion Criteria Tool -Reviewed pesticide products registration -Developed and Managed contract projects
Research projects: • Source Identification Protocol Project: collaboration among universities, government agencies, industries and stakeholders to develop a framework for microbial source tracking; Findings supported the update and revision of the National Ambient Water Quality Criteria Mandated by Clean Water Act • Absolute quantification of microbial genetic markers in water quality monitoring through new research platform digital PCR; • Factors affecting the persistance of bacteria under sunlight stress; • Household environmental contamination and sanitation in Bangladesh.