Home > News > All News > Clayton Scott

Clayton Scott

Electrical and Computer Engineering curriculum prepares students to join the AI revolution

As AI-related skills become more valuable in research and industry, ECE faculty weave these topics into courses spanning their educational journey.

Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems

Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.

Matthew Raymond recognized for research using ML techniques to design new types of medicine

Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.

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 University

Katie 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.

Clay Scott Receives CAREER Award for Research in Signal Processing