Tommaso Zaccherini
PhD Candidate

Tommaso Zaccherini

Department of Decision and Control Systems (DCS),
KTH Royal Institute of Technology, Sweden.

Supervisors:

Abstract I am a PhD Candidate at the KTH Royal Institute of Technology, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP). I received my B.Sc. and M.Sc. degrees in Automation Engineering from the University of Bologna, Italy, in 2021 and 2024, respectively. During my Bachelor’s studies, I was awarded a scholarship for a double-degree program with Tongji University in Shanghai, China, where I obtained a second B.Sc. degree in 2022. From September 2023 to February 2024, I worked as a research intern in the Control for Autonomy team at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, Massachusetts. My main research interests are in formal methods, planning and control of multi-agent systems, graph theory, estimation, and robotics.
01
Formal methods
02
Planning and control
03
Multi-agent systems
04
Estimation

Publications

— items

Curriculum Vitae

last updated Jul 2026

Education

Aug. 2024 — present

PhD in Planning and Control of Multi-Agent Systems

KTH Royal Institute of Technology, Sweden.

Dissertation: "Communication-Aware Task Planning and Control for Opaque Multi-Agent Systems"

Sep. 2021 — Mar. 2024

MSc in Automation Engineering

University of Bologna, Italy.

Thesis: "Fail safe control for automated driving: design and experimental validation"

Sep. 2019 — Jun. 2022

BSc in Mechatronics, Robotics and Automation

Tongji University, China.
Sep. 2018 — Jun. 2021

BSc in Automation Engineering

University of Bologna, Italy.

Experience

Sep. 2023 — Feb. 2024

Research Scientist Intern

Mitsubishi Electric Research Laboratories (MERL), Cambridge (Massachusetts).

Intern in the Control for Autonomy team, supervised by Dr. Stefano Di Cairano

Teaching

Spring 2025, 2026

Teaching Assistant — Hybrid and Embedded Control Systems (Master level course)

KTH Royal Institute of Technology

Contact

get in touch

I'm happy to hear from prospective collaborators, students, or anyone interested in Planning and Control of Autonomous Systems.
The fastest way to reach me is email.

Office KTH Royal Institute of Technology
SE-100 44 Stockholm,
Sweden