IEEE URUCON 2026
Six speakers.
Perspectives across engineering.
From connected networks to biomedical imaging, discover the people and ideas taking the stage in Montevideo.
The voices of URUCON
Explore each speaker’s work and get a closer look at their keynote.
6 of 6 speakers
University of Washington
IEEE Fellow and director of FUNLaB at the University of Washington, specializing in wireless networks, spectrum sharing, and 6G systems.
The keynote
How airborne networks, low-Earth-orbit satellites, and integrated sensing can extend the reach and capabilities of the next generation of wireless communications.
IIT Delhi
Professor of Electrical Engineering at IIT Delhi. His research connects communication networks, energy harvesting, and sustainable IoT.
The keynote
Data-driven learning and edge computing for more efficient, energy-sustainable IoT, illustrated through smart sensing, spectrum access, and power-grid monitoring.
University of the Republic · Advanced Bioimaging Unit
Biophysicist and Associate Professor at the University of the Republic. He leads the Advanced Bioimaging Unit and develops PhasorPy.
The keynote
An open-source framework for interpreting multidimensional tissue images, connecting fluorescence and hyperspectral microscopy with quantitative, reproducible phasor analysis.
INTI · UTN Buenos Aires
Electronic engineer with a doctorate. She leads printed electronics and microelectronic prototyping R&D at INTI and teaches at UTN Buenos Aires.
The keynote
How functional printing and organic electronics enable sensors, biosensors, and flexible circuits for healthcare, food, and environmental applications.
CSI · Paikea Consulting
An engineering graduate of the University of the Republic, specializing in high voltage, transformer diagnostics, and electrical equipment commissioning.
The keynote
A comprehensive look at arc flash: its physics, IEEE 1584 and NFPA 70E, modeling, and strategies for designing safer electrical installations.
UTEC · Neuro-IA LAB
Bioengineer and Associate Professor at UTEC. Founder of Neuro-IA LAB, researching brain-computer interfaces and imagined handwriting decoding.
The keynote
Talk abstract to be confirmed.