In the work, the SDSC team develops a path-opening approach to minimize carbon footprint in timely transportation of electric heavy-duty truck operation, which is essential for sustainable trucking but is challenging due to its non-convexity, deadline and battery constraints, and combinatorial nature. Their developed efficient solution comes with strong performance guarantee and reduces up to 28% carbon footprint as compared to baseline alternatives...
The award-winning research proposal seeks to identify and quantify factors that impact scientific success, aiming to build a machine learning network-based prediction model that helps to predict a team’s future success based on the history of the individual and collaborative success of team members involved.