Giorgio Lucarelli

Giorgio Lucarelli is a Teaching and Research Associate at ENSIMAG, Grenoble Institute of Technology, and a member of the DataMove team at INRIA and LIG. He earned his PhD in Theoretical Computer Science from Athens University of Economics and Business in 2009, preceded by an M.Sc. in Computer Science (2005) and a B.Sc. in Informatics (2003).

• PhD Advisor: Professor Ioannis Milis
• Key Research Areas: Algorithms and Complexity, Power-Aware Scheduling, Graph Theory, Online Optimization

His work focuses on energy-efficient scheduling in large-scale systems, with applications to heterogeneous architectures, optical networks, and MapReduce jobs. Recent publications explore online scheduling, dual-fitting methods, and geometric constraints in resource allocation. Collaborations span institutions like INRIA, LIG, and University of Illinois.

Notable trends in his research include speed-scaling algorithms, non-preemptive scheduling, and primal-dual optimization. While no explicit awards are listed, his contributions to exact and approximation algorithms for problems like max-edge coloring and densest k-subgraph highlight his expertise in combinatorial optimization.

As an educator, he teaches modules on Unix, Imperative Programming, Operating Systems, and Algorithm Design at ENSIMAG, and contributes to the MSc in Informatics (MOSIG) at Grenoble.