Diego Dall'Alba

Personal photo,  February 10, 2015
Position
Scholarship holder
Academic sector
INF/01 - INFORMATICS
Research sector (ERC-2024)
PE6_10 - Web and information systems, data management systems, information retrieval and digital libraries, data fusion

Research sector (ERC)
PE6_10 - Web and information systems, database systems, information retrieval and digital libraries, data fusion

Office
Ca' Vignal 2,  Floor -2,  Room S.144
Telephone
+39 045 802 7074
E-mail
diego|dallalba*univr|it <== Replace | with . and * with @ to have the right email address.
Curriculum
  • pdf   cv   (pdf, en, 261 KB, 13/07/21)

Dr. Diego Dall’Alba received the Master Degree with honors in “Intelligent and multimedia systems” from the University of Verona, Italy, in 2010. He received a Ph.D. in Computer Science from the University of Verona in 2014. Since 2008 he has been a member of the Altair robotics laboratory (Verona, Italy). He has been involved in 4 European projects: AccuRobAs, Safros, ISUR and MURAB. In 2012, he was visiting researcher at the University of British Columbia (Vancouver, Canada). He is currently an Assistant Professor (tenure track), working in ARS and ATLAS projects. His main research interests are in the field of surgical robotics (advanced sensing and multi-modal data processing), computer assisted surgery, and ultrasound guided systems.

Modules

Modules running in the period selected: 16.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Combined Bachelor's + Master's degree in Medicine and Surgery Introduction to Robotic Surgery (2023/2024)   1  eLearning 0.25 
Bachelor's degree in Bioinformatics Introduction to Programming (2022/2023)   12  eLearning LABORATORIO DI PROGRAMMAZIONE I
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2022/2023)   6  eLearning
Combined Bachelor's + Master's degree in Medicine and Surgery Introduction to Robotic Surgery (2021/2022)   1  eLearning 0.25 
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2021/2022)   6  eLearning
Bachelor's degree in Computer Science System theory (2021/2022)   6  eLearning (Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2020/2021)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Computer Science System theory (2020/2021)   6  eLearning (Teoria)
Bachelor's degree in Computer Science CyberPhysical Laboratory (2019/2020)   6   
Master's degree in Computer Science and Engineering Robotics (2019/2020)   6  eLearning (Teoria)
Bachelor's degree in Computer Science CyberPhysical Laboratory (2018/2019)   6  eLearning
Combined Bachelor's + Master's degree in Medicine and Surgery Introduction to Robotic Surgery (2018/2019)   1    0.5 
Bachelor's degree in Computer Science System theory (2018/2019)   6    (Laboratorio)
Master's degree in Computer Science and Engineering System theory (2018/2019)   12  eLearning SISTEMI DINAMICI
Bachelor's degree in Computer Science System theory (2018/2019)   (Teoria)

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Research interests
Topic Description Research area
AI, Robotics & Automatic Control Robotics is concerned with the development of systems that make the intelligent connection between perception and action. For this reason, robotics is strongly interdisciplinary, including mechanical and electronic design, computation and data fusion algorithms, machine learning and reasoning, and motion control and environment interaction methods. In the last years, robotics systems have matured in terms of safety and reliability and they can now work in delicate environments and in direct contact with people. In case of demanding cognitive tasks, robots are usually supported by a human operator, in a teleoperation mode. A well established example of teleoperation system is a surgical robot, in which a surgeon directly moves the robotic tools to carry out the intervention. A new research direction is the addition of autonomous functions to the robotic systems. To reach this goal, we need to improve the perceptual and cognitive capabilities of the robots, to interact safely with a complex real environment. Some of the research topics addressed at the University of Verona include: control and system theory, modeling and analysis of human perception, coordination of multiple-robot systems, distributed sensing and control algorithms, teleoperation algorithms, and analysis of the physical interaction of humans and robots. Robotic systems and automation
Sistemi robotici e automazione
Projects
Title Starting date
ARS - Autonomous Robotic Surgery 10/1/17
MURAB - MRI and Ultrasound Robotic Assisted Biopsy 1/1/16





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