Auroop R. Ganguly

Auroop R. Ganguly is a College of Engineering Distinguished Professor at Northeastern University, with joint appointments at Pacific Northwest National Laboratory. He directs the Sustainability and Data Sciences Laboratory and the AI for Climate and Sustainability focus area at the Institute for Experiential AI. His convergent research integrates climate science, infrastructure resilience, and artificial intelligence to address environmental security challenges.

Education:

• Ph.D. in Civil & Environmental Engineering, MIT (2002)
• M.S. in Civil Engineering, University of Toledo (1997)
• B.Tech. in Civil Engineering, IIT Kharagpur (1993)

His research examines climate extremes, hydrological systems, and critical infrastructure resilience through hybrid physics-based and data-driven methods. Key themes include predictive modeling of weather extremes, network science for lifeline infrastructures, and AI applications in climate adaptation. The work bridges fundamental science and translational engineering solutions.

Recent publications demonstrate a strong trend toward integrated computational approaches, combining machine learning with environmental physics. Dominant keywords include sustainability, digital twins, urban resilience, and low-carbon materials, reflecting cross-disciplinary innovation.

Scientific awards include:

• Distinguished Member of ACM (2023)
• ASCE Fellow (2019)
• College of Engineering Distinguished Professor Award (2023)
• Multiple best paper awards at top CS conferences

He has mentored 23 PhD students and secured ~$70M in grants from NSF, DOE, DOD, and NASA. Labs under his direction include the Sustainability and Data Sciences Lab and AI4CaS, which collaborate globally on climate-risk analytics, notably advising governments on UN disaster-risk frameworks.