Ricerc@Sapienza

Promotes scientific and applied research in the field of built environment management, environmental energy control, predictive maintenance with advanced digital systems (BIM, Digital Twin, GIS, AI, ML, and IoT), as well as the development of integrated BIM-GIS digital platforms for the management of structures, including those of historical and artistic interest, and their enhancement.

Il laboratorio di ricerca opera presso il Dipartimento di Informatica, Sapienza Università di Roma e si pone quale gruppo multidisciplinare dedicato alla sicurezza informatica e ai sistemi avanzati. Il gruppo è anche coinvolto nella gestione del CdS in Cybersecurity presso Sapienza, a sottolineare l’impegno nella didattica, nella formazione e nella ricerca di frontiera.
 

Il team di S3Lab riunisce competenze su crittografia, sistemi distribuiti, blockchain, intelligenza artificiale applicata alla sicurezza e infrastrutture resilienti. Le principali linee di ricerca sono:

The Perception and Intelligence Lab (PINLab, www.pinlab.org) conducts fundamental research and innovation transfer in computer vision and machine learning, including applications to language models and robotics. Specific research interests include distributed and multi-agent intelligent systems, human-robot interaction, embodied perception, multi-modal learning involving hierarchical knowledge and uncertainty estimation, foundation and world models, general intelligence and reasoning, interpretable and safe AI.

IIM is a research group joining people with common research interests from Sapienza University of Rome and UnitelmaSapienza University of Rome.
Our investigations are across 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. We always welcome new challenges and national/international collaborations.

GLADIA is a team of computer scientists, physicists, engineers and mathematicians venturing beyond the boundaries of machine intelligence. Our aim is to understand the mathematics and dynamics of intelligence, and slash the time required to create new models from months to mere seconds. From language to audio, from latent geometry to model merging, we seek architectures and methods that make AI faster, more accessible, more creative, more powerful.

Measuring operators’ cognitive and emotional states, training progresses, and teamwork is really innovative, especially in operative and real contexts. The Neuroscience Lab develops methodologies able to measure humans' mental states like mental workload, stress, attention, fatigue in real time.

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

URL: http://mclab.di.uniroma1.it

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

URL: http://mclab.di.uniroma1.it