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Clayton Scott
Fourteen papers by ECE researchers to be presented at the International Conference on Machine Learning
Accepted papers for the ICML conference span topics including deep representation learning, language model fine-tuning, generative modeling, and more.Matt Raymond receives Beyster Fellowship to support research on nanoscale particle design
Raymond’s research has the potential to aid treatment of drug-resistant bacterial infections.Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the UniversityKatie Bouman talks legacy of the black hole imaging project and favorite U-M memories
Before Bouman became the face of the project that brought us the first ever image of a black hole, she was wowing ECE professors with design projects and hoarding Domino’s pizza with her HKN family.ECE and data science: a natural connection
Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.
Research in machine learning earns Notable Paper Award at AISTATS 2014
Prof. Scott’s research is in the field of machine learning, and his paper builds upon “supervised pattern classification.”
2014 EECS Outstanding Achievement Awards
These faculty are recognized for their unique contributions during the past year.
MCubed A Year Later: A record of fostering innovative research
Several of the cubes enabled research to progress to the point that faculty are applying for larger grants to continue the work.
ECE faculty are MCubing to find answers – fast
The goal of MCubed is to jumpstart novel, high-risk and transformative research projects.
Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis
Lee’s primary motivation is to apply his research methods to hematopathology, the study of blood-related diseases.