DANILO AVOLA

Department of Computer Science (DCS)

Danilo Avola is the Head and Co-Founder of the Prometheus Laboratory.

The Prometheus Laboratory is the Faculty of Information Engineering, Informatics, and Statistics reference point in terms of Computer Vision, Artificial Intelligence, Machine and Deep Learning, Robotics, and Dronistics. Our Projects, Bachelor’s Degree and Master’s Degree cover all the Departments of the Faculty, i.e., the Department of Computer Science, the Department of Computer, Control and Management Engineering "Antonio Ruberti", the Department of Information Engineering, Electronics and Telecommunications, and the Department of Statistical Sciences.

All students of the Faculty of Information Engineering, Informatics, and Statistics are invited to sign up at the following telegram group: https://t.me/+MEVU_BF-V6UyY2M0

Dipartimento di Comunicazione e Ricerca Sociale (CORIS)
Danilo Avola attualmente risulta docente all'interno dei seguenti corsi di laurea triennale:

• Comunicazione Pubblica e d'Impresa
  Informatica e Tecnologie della Comunicazione Digitale (ITCD)
  Canale A-L (Primo Semestre) - CFU 9 - 72 Ore - Erogato in Italiano
• Comunicazione, Tecnologie e Culture Digitali
  Informatica e Tecnologie della Comunicazione Digitale (ITCD)
  Canale A-L (Secondo Semestre) - CFU 9 - 72 Ore - Erogato in Italiano

A causa della situazione creata dal COVID-19, sino a nuove direttive, da parte dell'Ateneo, l'erogazione delle lezioni frontali avverrà in modalita mista: sia in presenza sia in via telematica. Ad ogni modo, indipendentemente dalla modalità di erogazione, è necessario che lo studente si registri alla seguente Classe Virtuale:

• Codice della Classroom Virtuale di Google: sm4uu3a
• All'interno della Classe Virtuale verranno date le informazioni del caso per poter seguire le lezioni in via telematica (piattaforma ZOOM)

Gli studenti dei due corsi di laurea triennale menzionati sopra sono invitati, da subito, ad iscriversi anche al seguente gruppo Facebook il cui scopo è quello di fornire uno strumento rapido e veloce per veicolare informazioni, supporti di vario tipo e molto altro ancora:

• https://www.facebook.com/groups/100519190778086

Di seguito i link permanenti per le lezioni di Informatica e Tecnologie della Comunicazione Digitale (Canale A-L) per l'anno accademico 2021/2022 (Primo Semestre):

• LUNEDI (16:00-18:00) Aula P2
• MERCOLEDI (08:00-10:00) Aula P2
• VENERDI (18:00-20:00) Aula P2
• Tutto il materiale didattico può essere trovato qui (Il materiale per i canali A-L & M-Z è lo stesso):
  http://visionlab.di.uniroma1.it/ietdcd

Department of Management (DoM)
Danilo Avola is currently a teacher within the following master's degree course:

• Economics and Communication for Management and Innovation (ECoMI)
  Digital Content Processing (DCP)
  First Semester - CFU 9 - 72 Hours - Provided in English

Due to the situation created by COVID-19, until new directives by the University, the lectures will be delivered in a mixed way: face to face and remotely. In any case, regardless of the delivery method, students must register to the following Virtual Class:

• Google Virtual Classroom Code: hyydb2w
• Within the Virtual Classroom, the necessary information to follow the lectures remotely by Zoom platform will be given

Danilo Avola earned the M.Sc. degree in Computer Science from Sapienza University, Rome, Italy, in 2002 and the Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. Previously, he was postdoc researcher at the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine, Udine, Italy, and R&D Senior Engineer at the Artificial Vision and Real-Time Systems Laboratory (AVIRES Lab) at the same University. Among other awards and prizes, Danilo Avola received, in 2020, the Outstanding Paper Award for IEEE Transactions on Industrial Informatics (TII). Currently, he is Reviewer of top International Journals in Computer Vision, including Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Human-Machine Systems, and International Journal of Computer Vision; in addition he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action/Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.