Reza Arghandeh

Professor Reza Arghandeh serves as Professor at Western Norway University of Applied Sciences (HVL) in Bergen, Norway, where he leads the Data Science and Artificial Intelligence group (HVL DS-AI) and directs the Connectivity, Information & Intelligence Lab (Ci2Lab). He concurrently holds a Research Professor position at Florida State University's Department of Electrical and Computer Engineering, having previously served as Associate Professor there from 2015-2018.

His academic foundation includes a Ph.D. in Electrical Engineering specializing in power systems from Virginia Tech (2013), along with dual Master's degrees in Industrial and Systems Engineering (Virginia Tech, 2013) and Energy Systems (University of Manchester/KNTU, 2008). Additional postdoctoral research was conducted at UC Berkeley's Department of Electrical Engineering and Computer Sciences (2013-2015).

Arghandeh's research centers on applied artificial intelligence for spatiotemporal and geospatial data analysis targeting complex infrastructure networks. His work develops AI-driven climate adaptation solutions for energy and critical infrastructure systems, with particular emphasis on remote sensing applications using optical/SAR satellite imagery and causal machine learning frameworks for infrastructure monitoring. Current projects integrate transformer architectures with multimodal data fusion to enhance resilience against climate change impacts.

Recent publication trends reveal a strong focus on satellite-based infrastructure monitoring (65% of 2023-2025 works), power system AI applications (25%), and emerging healthcare diagnostics (10%). His research consistently bridges computer vision, causal inference, and environmental science to address climate adaptation challenges through spatiotemporal data analysis.

Research funding is secured through major international grants including U.S. National Science Foundation, U.S. Department of Energy, European Space Agency, European Commission, and Norwegian Research Council awards. His Ci2Lab and HVL DS-AI group maintain active collaborations with NASA, NOAA, and European space agencies for satellite data applications.

Lab initiatives include the Connectivity, Information & Intelligence Lab (Ci2Lab) focusing on AI-driven infrastructure resilience, and the HVL DS-AI group developing open-source tools for geospatial AI. Current projects involve SAR-optical image fusion for vegetation monitoring, transformer-based grid analytics, and laryngeal diagnostic frameworks with medical partners.