Alberto Bertoncini

Alberto Bertoncini

PhD Student

University of Milan

alberto.bertoncini@unimi.it

OptLab · CONNETS

Combinatorial Optimization, Network Science, Service Orchestration

GitHub Scholar

About Me

I am Computer Science PhD Candidate at University of Milano, in particular I work with the OptLab and Connects Lab, where I focus on advancing research in network service optimized deployment via Mathematical Optimization and Machine Learning techniques. I worked in the same field as fellow researcher.

I also had experience in academic teaching for the the Informatica e Biostatistica module (a.y. 2024/2025) in the Veterinary Medicine course, guiding students through information technology and biostatistics concepts, and for the Computer Networks cource (a.y. 2025/2026).

From my academic background and industry experience i gained knowledge as Data Scientist and Data Engineer on different topics, from production field up to theoretical applications.

Research Interests

Contact

Publications

International Conferences

  1. Alberto Bertoncini, Alberto Ceselli, Christian Quadri: "Latency-Aware Placement of Microservices in the Cloud-to-Edge Continuum via Resource Scaling", 2025 IEEE International Conference on Smart Computing (SMARTCOMP), 2025, pp. 420-425, DOI: 10.1109/SMARTCOMP65954.2025.00103.

  2. Alberto Bertoncini, Alberto Ceselli, Christian Quadri: "A Centrality-Based Resource-Aware Microservice Orchestration in Cloud-to-Edge Continuum", Decision Sciences, Springer Nature Switzerland, 2026, pp. 197-212, DOI: 10.1007/978-3-032-21811-7_14.

  3. Alberto Bertoncini, Christian Quadri: "GiMLI: GRASP-based algorithm for Microservice placement under end-to-end latency constraints", accepted for publication in the proceedings of IEEE Smart World Congress 2026, 2026.

  4. Alberto Bertoncini, Alberto Ceselli, Christian Quadri: "LEAFS: Linear Edge-to-cloud Latency-Aware Formulation for Service Placement", accepted for publication in the proceedings of 4th Decision Science Alliance International Summer Conference (DSA ISC2026), 2026.

Abstracts

  1. Michele Barbato, Alberto Bertoncini, Alberto Ceselli: "Enhancing sparse regression models with cutting planes", International Conference on Optimization and Decision Science (ODS 2023), Ischia, Italia, 2023.

  2. Alberto Bertoncini, Alberto Ceselli: "A Branch and Price approach for latency aware VNF placement", 6th EUROYoung Workshop, Lugano, Switzerland, 2026.

BibTeX