Alessandro Farinelli

foto,  October 24, 2023
Position
Full Professor
Academic sector
INF/01 - INFORMATICS
Research sector (ERC)
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems

PE6_5 - Cryptology, security, privacy, quantum crypto

Office
Ca' Vignal 2,  Floor 1,  Room 64B
Telephone
+39 045 802 7842
E-mail
alessandro|farinelli*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
https://profs.scienze.univr.it/~farinelli/

Office Hours

Monday, Hours 10:30 AM - 12:30 PM,  

Curriculum
  • pdf   CV (en)   (pdf, en, 241 KB, 14/02/24)
  • pdf   CV (it)   (pdf, it, 235 KB, 14/02/24)

Alessandro Farinelli is full professor at the University of Verona, Department of Computer Science.

His research interests focus on the development of innovative methodologies for Artificial Intelligence systems with applications in the field of robotics. In particular, his main research topics focus on:
-- coordination of multi-agent systems
-- distributed optimization
-- reinforcement learning
-- statistical data analysis for robotic systems.

Alessandro Farinelli has been scientific responsible for several national and international research projects focused on issues related to the development of Artificial Intelligence systems. His scientific contributions target mainly international journals in the area of Artificial Intelligence (e.g., Artificial Intelligence and Journal of Artificial Intelligence Research) and intelligent robotic systems (Autonomous Robots and Robotics and Autonomous Systems). The major conferences he contributes to, both as a speaker and organizer, include the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), the International Joint Conference on Artificial Intelligence (IJCAI), and the International Conference on Intelligent Robots and Systems (IROS).

Modules

Modules running in the period selected: 45.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Bioinformatics Artificial intelligence (2023/2024)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Mobile robotics (2023/2024)   6  eLearning (Teoria)
Master's degree in Artificial intelligence Planning and Automated Reasoning (2023/2024)   12  eLearning PLANNING
PhD in Computer Science Autonomous Agents and Multi-Agent Systems (2023/2024)   5  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Mobile robotics (2022/2023)   6  eLearning (Teoria)
Master's degree in Artificial intelligence Planning and Automated Reasoning (2022/2023)   12  eLearning PLANNING
Bachelor's degree in Computer Science Programming I [Matricole dispari] (2022/2023)   12  eLearning (Teoria)
Master's degree in Computer Science and Engineering Foundations of Artificial Intelligence (2021/2022)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Mobile robotics (2021/2022)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Data Science Statistical learning (2021/2022)   6  eLearning PART I
Master's degree in Computer Science and Engineering Foundations of Artificial Intelligence (2020/2021)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Mobile robotics (2020/2021)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Data Science Statistical learning (2020/2021)   6  eLearning (Teoria)
(Laboratorio)
Bachelor's degree in Bioinformatics Algorithms (2019/2020)   12  eLearning LABORATORIO DI PROGRAMMAZIONE II (Laboratorio)
LABORATORIO DI PROGRAMMAZIONE II (Teoria)
Master's degree in Computer Science and Engineering Foundations of Computing (2019/2020)   12  eLearning INTELLIGENZA ARTIFICIALE (Teoria)
INTELLIGENZA ARTIFICIALE (Laboratorio)
PhD in Computer Science Lezioni Dottorandi (2019/2020)   50  eLearning
Bachelor's degree in Bioinformatics Algorithms (2018/2019)   12  eLearning LABORATORIO DI PROGRAMMAZIONE II (Teoria)
LABORATORIO DI PROGRAMMAZIONE II (Laboratorio)
Master's degree in Computer Science and Engineering Foundations of Computing (2018/2019)   12  eLearning INTELLIGENZA ARTIFICIALE (Laboratorio)
INTELLIGENZA ARTIFICIALE (Teoria)
Bachelor's degree in Bioinformatics Algorithms (2017/2018)   12  eLearning LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Foundations of Computing (2017/2018)   12  eLearning INTELLIGENZA ARTIFICIALE
Bachelor's degree in Bioinformatics Algorithms (2016/2017)   12  eLearning LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Foundations of Computing (2016/2017)   12  eLearning INTELLIGENZA ARTIFICIALE
Bachelor's degree in Bioinformatics Algorithms (2015/2016)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Foundations of Computing (2015/2016)   12    INTELLIGENZA ARTIFICIALE
Bachelor's degree in Bioinformatics Algorithms (2014/2015)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Artificial Intelligence (2014/2015)   6   
Bachelor's degree in Bioinformatics Algorithms (2013/2014)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Artificial Intelligence (2013/2014)   6   
Bachelor's degree in Bioinformatics Algorithms (2012/2013)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Artificial Intelligence (2012/2013)   6   
Bachelor's degree in Bioinformatics Algorithms (2011/2012)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Artificial Intelligence (2011/2012)   6   
Bachelor's degree in Bioinformatics Algorithms (2010/2011)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Automated reasoning (2010/2011)   6   
Bachelor's degree in Bioinformatics Algorithms (2009/2010)   12    LABORATORIO DI PROGRAMMAZIONE II
Master's degree in Computer Science and Engineering Automated reasoning (2009/2010)   6   

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Research groups

Artificial Intelligence (AI)
The group conducts research in Artificial Intelligence, including Automated Reasoning, Search Algorithms, Knowledge Representation, Machine Learning, Multi-Agent Systems, and their applications.
ISLa - Intelligent Systems Lab
Artificial intelligence, statistical learning and data analysis for intelligent systems
PARCO – Parallel Computing
The aim of the research group is the development and optimization of Software targeting multi-core CPU/many-core GPUs for resource constrained computing platform (e.g., Edge Computing) and for High-performance Computing (HPC) platforms.
Robotics, Artificial Intelligence and Control
Research interests
Topic Description Research area
Intelligent Agents Design and development of autonomous entities that can sense, model and interact with the environment in which they operate. Main research topics include: action planning, reinforcement learning, reasoning in face of uncertainty. Machine Intelligence
Artificial intelligence
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
Multiagent Systems Design and development of multiagent systems, where intelligent agents can interact among them and with the environment. Main research topics include: task assignment, distributed constraint optimization, decentralized optimization, decentralized reinforcement learning, cooperative perception. Machine Intelligence
Artificial intelligence
Projects
Title Starting date
Comparative analysis of solutions based on evolutionary algorithms for generalized and multi-objective VRP 12/21/23
Development of Artificial Intelligence methods to support insurance policy sales. 11/21/22
Development of an efficient and robust motion planning solution for hyper-redundant robotic manipulators 10/1/22
SPACE13 INNOVATION-LAB 1/11/22
Intelligent Heating Control based on Reinforcement Learning Techniques 10/1/20
SAFE PLACE Sistemi IoT per ambienti di vita salubri e sicuri 9/10/20
ROS-based design and synthesis of monitors for semi-formal verification of robotics applications 3/9/20
Support for data acquisition, management and analysis in the context of "smart-land" applications 1/27/20
Study and development of machine learning techniques for data prediction. 10/22/19
Model-Based Design and Verication Flow for Embedded Vision Applications 2/26/19
Computer Engineering for Industry 4.0 1/1/18
Active Malware Analysis based on Reinforcement Learning techniques 1/1/18
COREWOOD - Riposizionamento competitivo del la filiera del legno 11/7/17
GHOTEM - Global House Thermal & Electrical Energy Management 11/7/17
Development of an ICT platform for sport performance analysis 12/13/16
INTCATCH- Development and application of Novel, Integrated Tools for monitoring and managing Catchments 6/1/16
EXPO-AGRI - EXtra-field Plant Observation for monitoring and forecast of agricultural infections - Joint Projects 2015 2/1/16
Automatic process control for energy saving and resource recovery in waste water management 3/28/14
Piattaforme di servizio P2P: rete logica, requisiti e strumenti (PRIN 2008) 1/27/10




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