Summary
Iaçanã Weber is a system engineer and adjunct professor with 11 years of experience bridging academic research and practical engineering in computer and computer engineering. He holds a PhD in Computer Science from PUCRS where his dissertation applied reinforcement learning to extend the lifetime reliability of manycore systems, reflecting a strong intersection of AI and hardware-aware systems. Previously trained at Universidade Federal de Santa Maria in computer organization, SoC/NoC design and HDL, he teaches courses from algorithms to processor architecture and emphasizes extracting maximum performance through hardware understanding. Currently at EnSilica, he combines industry system engineering with ongoing academic engagement, keeping his work grounded in both theory and implementation. Colleagues value his ability to translate complex research into teachable insights and deployable task-management strategies for manycore reliability. An understated strength is his consistent focus on hardware-software co-design, which shapes both his research and classroom approach.
10 years of coding experience
2 years of employment as a software developer
Master’s Degree, Computer Organization and Architecture, Systems on a Chip, Networks on a Chip and HDL, Master’s Degree, Computer Organization and Architecture, Systems on a Chip, Networks on a Chip and HDL at Universidade Federal de Santa Maria
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul
Portuguese, English