Giulio Campagna
Robotics Engineer
Email:
Nationality:
Italian
Skype:
Date of Birth:
xaldinwow4e
May 3rd, 1995
Work Address:
Rendsburggade 14, 9000, Aalborg, Denmark
Phone:
+45 22543373
+39 3337396558
Linkedin:
About Me
Born the 3rd of May 1995 in Siena, Italy.
Received B.S. degree in Computer and Information Engineering in 2018 from the University of Siena with a thesis entitled "Experimentation on Real Video of Systems for Object Detection".
Received M.S. degree in Computer and Automation Engineering - Robotics and Automation in 2021 from the University of Siena with a thesis entitled "Commanding Grasping Robot through Virtual Reality and Simulated Wrenches".
PhD Fellow at Aalborg University, Human-Robot Interaction Laboratory. The research aimed to develop machine learning algorithms that leverage multi-modal sensor data to enhance safety, foster trust and ergonomic behavior, and create more user-friendly robot control systems for human operators in industrial human-robot collaboration.
According to the prestigious Best Global Universities ranking, Aalborg University is ranked among the top 20 universities worldwide for engineering.
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For further details, please download the curriculum from the link.
Titles Of Merit
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Ph.D. Fellow in Human - Robot Collaboration - Aalborg University, Technical Faculty of IT and Design, Denmark
Research Line: Human - Robot Collaboration
Laboratory: Human - Robot Interaction
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Visiting Researcher - German Aerospace Center, Germany
The project featured collaboration with the following organizations: Aalborg University, DLR German Aerospace Center, CNR-STIIMA, and IT+Robotics S.r.l.
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Visiting Researcher - Italian Institute of Technology, Italy
The experiments were conducted under the supervision of Dr. Arash Ajoudani at the Human-Robot Interfaces and Interaction.
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Qualification to the profession of Robotics and Automation Engineer in section A, Information Engineering sector, class LM-32 – University of Florence, Italy
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Master's Degree: Computer and Automation Engineering - Robotics and Automation - University of Siena, Italy
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Mark: 109/110 (missing a perfect average by 0.06)
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Thesis Title: Commanding Grasping Robot through Virtual Reality and Simulated Wrenches (link)
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Registration of Master Thesis in Italian Database PubbliTesi for recognition of one among best thesis (link)
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Finalist for the Digital Sustainability Award (link)
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Erasmus For Traineeship - Aarhus University, Denmark
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Erasmus For Studies - Technical University of Munich (TUM), Germany
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Bachelor's Degree: Computer and Information Engineering - University of Siena, Italy
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Scientific - Technological High School - Tito Sarrocchi - Siena, Italy
Mark: 100/100
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Certifications
Relevant Courses
ROBOTICS:
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Robotics - University of Siena, Italy
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Human-Centered Robotics - University of Siena, Italy
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Dynamic Human Robot Interaction - Technical University of Munich (TUM), Germany
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Project In Human-Centered Neuroengineering for Cybathlon - Technical University of Munich (TUM), Germany
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Advanced Robot Control and Learning - Technical University of Munich (TUM), Germany
ARTIFICIAL INTELLIGENCE:
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Artificial Intelligence - University of Siena, Italy
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Machine Learning - University of Siena, Italy
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Deep Learning - Ph.D. Course, Aalborg University, Denmark
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Reinforcement Learning and Dynamic Programming - Ph.D. Course, Aalborg University, Denmark
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Architecture of Machine Learning Systems - Ph.D. Course, Aalborg University, Denmark
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Data and Machine Learning Operations (DataOps and MLOps) - Ph.D. Course, Aalborg University, Denmark
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Data Quality Management - Ph.D. Course, Aalborg University, Denmark
CONTROL:
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Dynamic Systems - University of Siena, Italy
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Control Systems - University of Siena, Italy
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Multivariable, Nonlinear and Robust Control - University of Siena, Italy
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Discrete Event Systems - University of Siena, Italy
OPTIMIZATION:
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Network Optimization - University of Siena, Italy
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Data and Decision Analysis - University of Siena, Italy
SIGNAL PROCESSING:
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Signal and Spectral Analysis extracting information from noisy data - Ph.D. Course, Aalborg University, Denmark
RESEARCH-ORIENTED SKILLS:
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Management of Research and Development - Ph.D. Course, Aalborg University, Denmark
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Academic Writing in English - Ph.D. Course, Aalborg University, Denmark
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Writing and Reviewing Scientific Papers - Ph.D. Course, Aalborg University, Denmark
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Applying the Danish Code of Conduct for Research Integrity to your Research - Ph.D. Course, Aalborg University, Denmark
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Online Profiles, Dissemination and Metrics - Ph.D. Course, Aalborg University, Denmark
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International Scientific Networking - Ph.D. Course, Aalborg University, Denmark
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Problem-Based Learning - Ph.D. Course, Aalborg University, Denmark
Activities
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Workshop (RO-MAN 2023): Trust, Acceptance and Social Cues in Human-Robot Interaction – SCRITA
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Workshop (ICSR 2023): ASIMOV: Adaptive Social Interaction based on user’s Mental mOdels and behaVior in HRI
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Annual Aalborg Robotics Workshop
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Network and Memberships
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IEEE MEMBERSHIP- IEEE, 24-02-2022
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IEEE ROBOTICS & AUTOMATION SOCIETY (RAS) MEMBERSHIP - IEEE RAS, 24-02-2022
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FIRST - University of Cambridge, 10-08-2021, Certificate Number: B6014466 - European Level: B2
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PET - University of Cambridge, 01-05-2014, Certificate Number: 0044043424 - European Level: B1
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DELF - DELF, 26-11-2009, European Level: A1
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ECDL CORE, AICA, 23-04-2010, N° IT 1526910
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ECDL ADVANCED MODULE AM4, AICA, 19-01-2012, N° ADV026100
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Formazione Generale dei Lavoratori, Corso AiFOS EL/350792, Attestato n. U185600, 22-10-2023
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IDA (Ingeniørforeningen i Danmark): The Danish Society of Engineers, IDA is a professional body and trade union for technical and scientific professionals
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IEEE Membership (Institute of Electrical and Electronics Engineers): IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
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IEEE Robotics & Automation Society (RAS) Membership: The IEEE Robotics and Automation Society aims to advance robotics and automation engineering and science, uphold high professional standards, and promote education and research, in line with the IEEE Constitution and its Field of Interest.
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Technical Committee for Human-Robot Interaction & Coordination: The IEEE-RAS Technical Committee on Human-Robot Interaction and Coordination aims at providing a framework for discussion for the variety of issues related to the development of robots intended to interact with human beings.