Scott Moura

University of California, Berkeley

Papers

3

Total Citations

29

H-Index

3

About

Scott Moura is a leading researcher at the intersection of electric vehicle (EV) systems, energy management, and autonomous robotics, with work that addresses some of the most pressing challenges in the transition to sustainable transportation. His research spans EV fleet charging optimization, battery degradation modeling, and intelligent infrastructure planning. In his highly cited 2023 work on electric fleet charging management, Moura tackled the complex problem of balancing battery health against nonlinear charging dynamics — a critical concern for fleet operators seeking to minimize long-term costs. That same year, his "Robo-Chargers" study introduced an innovative robotic charging framework to combat EV overstay, a pervasive issue limiting public charger accessibility, earning 9 citations for its practical ingenuity. Moura also ventures into control theory and robotics, as evidenced by his 2021 paper unifying dynamic coverage and regret minimization for mobile agents navigating complex environments. With a growing citation record reflecting real-world impact, Moura's interdisciplinary contributions are shaping smarter, more resilient electric mobility ecosystems, making his work essential reading for engineers, policymakers, and transportation researchers alike.

Research Focus

Key Achievements

3
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Electric fleet charging management considering battery degradation and nonlinear charging profile
14 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago