Diego DELLE DONNE

Diego DELLE DONNE is an Assistant Professor (tenure-track) at ESSEC Business School in Paris, France, within the Information Systems, Data Analytics and Operations department. He holds a PhD in Computer Science from the University of Buenos Aires (2016), along with earlier degrees from the same institution. Prior to his current role, he held post-doctoral positions at ESSEC, École Polytechnique, and Sorbonne Paris Nord University. His research focuses on combinatorial optimization, applied mathematics, and their real-world applications in logistics, urban planning, and resource management.

Education:

• PhD in Computer Science, University of Buenos Aires (2016)
• MSc in Computer Science, University of Buenos Aires (2009)
• BSc in Computer Science, University of Buenos Aires (2008)

Research Interests:

His work emphasizes optimization algorithms for sustainable urban logistics, such as integrating public transport for last-mile deliveries to reduce CO2 emissions, and integer linear programming applications in hydrocarbon field planning, waste management, and salmon farm operations. He also explores theoretical challenges in graph coloring, polyhedral studies, and sparse approximation techniques.

Recent Article Trends:

Recent publications highlight advancements in column generation methods for multi-echelon delivery systems, branch-and-price algorithms for clustering and coloring problems, and strategic planning for freight integration with public transit. His work bridges theoretical optimization with practical urban and industrial challenges, emphasizing sustainability and efficiency.

Advising & Grants:

He has supervised multiple master’s theses, including works on leaf collection optimization and logistics routing. While specific grant details are not detailed, his research projects reflect collaboration with industry partners like petroleum companies in Argentina and urban management initiatives.

Labs/Teams:

His current project focuses on leveraging public transport’s excess capacity for urban parcel delivery, part of broader efforts to enhance sustainable logistics through mixed-integer programming and operational research techniques.