Professor · Researcher · Head of WISER
Cássio Prazeres
Full Professor at the Institute of Computing, Federal University of Bahia.
I investigate intelligent distributed systems across the edge–fog–cloud continuum, connecting the Internet of Things, Edge AI, federated learning, microservices, and the Web of Things.
Academic work
Research connecting intelligence, systems, and things.
My work combines foundations and experimentation to create efficient, adaptive, and reliable distributed infrastructures.
Internet and Web of Things
Architectures, services, and interoperability for ecosystems of connected physical objects.
Edge AI and federated learning
Distributed training and inference with low latency, efficiency, and privacy preservation.
Edge–fog–cloud continuum
Orchestration of data, models, and microservices across devices, edge, fog, and cloud.
Decentralized intelligent systems
Agents, coordination, and distributed architectures for more autonomous and resilient systems.
Education
Teaching and supervision
Undergraduate and graduate teaching that connects distributed computing concepts to concrete problems.
Current
Courses
- Internet of Things
- Introduction to Programming
Experience
Previous courses
- Web and Hypermedia Systems
- Data Science
- Web Services and Web of Things
- Service-Oriented Architecture
- Multimedia Systems
- Data Structures and Programming
Supervision
Training researchers
Supervision of doctoral, master's, capstone, and undergraduate research students at PGCOMP and the Institute of Computing, UFBA.
Selected projects
Research in development
Recent output
Publications in the last 5 years
Career
Curriculum and academic profiles
Av. Milton Santos, s/n, PAF II, room 211
Ondina Campus · 40170-115
Salvador, Bahia, Brazil