Gamification Lab: Emanuele Panizzi
GamificationLab is a university laboratory dedicated to research and teaching in the field of Human-Computer Interaction, Gamification, games/videogames and digital simulations. Within the lab, digital applications (particularly for mobile devices), gamification applications, video game products, simulations and highly interactive applications are designed, developed and tested.
HERCOLE Lab: Gabriele Tolomei
The use of complex machine learning (ML) and artificial intelligence (AI) systems has become central to decision-making processes in critical sectors such as healthcare, finance, and public administration. The mission of HERCOLE Lab (Human-Explainable, Robust, and COllaborative LEarning) is to promote, through interdisciplinary research and innovation, the development of next-generation ML/AI systems that are not only accurate but also explainable and transparent for diverse end users, resilient to adversarial attacks, and decentralized to enhance privacy protection.
Intelligent Information Mining : Damiano Distante, Stefano Faralli
The lab's research covers several areas, including: Machine Learning and Data Mining, E-Learning and Educational Data Mining, Knowledge Based Systems, E-Health and Network medicine, Social Media Analysis and Recommender Systems, and Human-Computer Interaction and Web Engineering.
Perception and Intelligence Laboratory (PINlab): Fabio Galasso
Computer vision and machine learning have great potential to endow machines/robots with the (visual) perception of the environment, the intelligence to reason about it, and the capability to make decisions. PINlab conducts fundamental research in computer vision and machine learning, multi-agent intelligent systems, human-robot-interaction, multi-modal foundation and generative models, uncertainty estimation, interpretability, and safe AI. We collaborate with international academic and industrial partners. Additionally, we target innovation transfer through collaboration with ItalAI
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Prometheus Lab: Danilo Avola
The Prometheus Lab is a leading research laboratory in modern Computer Science, active in Advanced Computer Vision, Next-Generation Machine Learning, Human-Centered Interaction, Intelligent Robotics and Autonomous Drones, Signal Processing (with focus on Wi-Fi Sensing, EEG Analysis, and Magnetic Field Studies), Medical Imaging, Biometric Systems, Extended Reality (XR), and High-Performance and Efficient Computing. Renowned for its national and international collaborations and multiple awards and recognitions, the lab stands among the most innovative research environments in its field. Its work spans academic studies, industrial collaborations, and initiatives developed through 4AI S.R.L., a Sapienza-based start-up created within the lab to help students and researchers bring their ideas and technologies to global markets.
Prometheus Lab leads cutting-edge research in Wi-Fi Sensing, using wireless signals as virtual cameras for human detection, tracking, and identification, with major projects such as INFERENCE and VERIFY, both awarded Certificates of Excellence by the Italian Ministry of Defense. It also advances EEG-based brain–computer integration, aimed at the humanization and self-awareness of robots and drones. Alongside research, the lab serves as a training and educational hub, engaging young collaborators, junior researchers, and students at all levels in interdisciplinary projects that strengthen theoretical foundations and technical expertise through hands-on innovation.
Research lab in Artificial Intelligence for Systems Engineering: Enrico Tronci, Toni Mancini
The Research lab in Artificial Intelligence for Systems Engineering (RAISE, formerly MCLab) develops methods and software based on AI and digital twins for simulation-based verification, validation, and synthesis of mission- and safety-critical intelligent systems.
VisionLab: Luigi Cinque, Marco Raoul Marini
VisionLab's mission is to push the boundaries of the possible by harnessing the power of advanced computing to solve some of the most challenging problems facing industry and society today.
Some of the most relevant topics include machine/deep learning, human-computer interaction, robotics, signal processing, biometrics and extended reality.