Machine Learning and AI
Machine Learning and Artificial Intelligence (MLAI) is an interdisciplinary research area within ECE. It focuses on developing intelligent systems and algorithms that can learn from data, adapt to changing environments, and make autonomous decisions.
This includes deep learning and neural networks for solving complex problems, computer vision for interpreting visual data, natural language processing for language understanding and generation, reinforcement learning for sequential decision-making, data mining and pattern recognition for extracting insights from large datasets, machine learning hardware for efficient AI algorithms, ethical AI considerations, human-machine interaction, cybersecurity, and energy-efficient AI solutions.
Researchers in this field aim to advance AI technology, transform industries, and address societal challenges while ensuring responsible and ethical use.
Associated Labs/Centers
Primary Faculty
Embedded Machine Learning Club
The Embedded Machine Learning club raises awareness about Machine Learning (ML) by conducting outreach and to advance member knowledge and skills in ML with internal education.
It provides members a hands-on opportunity to gain technical and leadership skills, increase professional development, build career networks, and propel internship search, and provides impactful ML solutions to community partners including research groups and other club organizations in addition to hosting and participating in ML-related competitions.
Yifan Wu, NC State Research Team Wins Best Presentation Award at ACI
Congratulations to NC State ECE Ph.D. student Yifan Wu on receiving the Best Presentation Award at the 2025 Animal-Computer Interaction International Conference.
Students Use Data Science Skills to Address USDA Ag Challenges
As USDA interns, five NC State graduate students applied data science skills to help build AI tools for agriculture.
Sensing Success
A professorship established by John Amein ’84 and his wife Happy supports Professor Michael Kudenov’s research on sensor development that is growing more success for North Carolina agriculture.
Shubham Dhiman Wins 2025 IEEE Joseph John Suozzi INTELEC Fellowship Award in Power Electronics
Congratulations to Shubham Dhiman, EE Ph.D. candidate, on winning the 2025 IEEE Joseph John Suozzi INTELEC Fellowship Award in Power Electronics.
Cheung, Hewlett Packard Enterprise Researchers Published in Nature Communications
NC State researchers have demonstrated a new method for searching and storing information in a system using semiconductor lasers and silicon photonics. Practical applications include improving the speed and efficiency of AI and machine learning.
NC State ECE Researchers Secure DARPA Funding for New Project, HAPPI
Researchers from NC State’s Department of Electrical and Computer Engineering have secured a three-year, $5 million grant from the Defense Advanced Research Projects Agency (DARPA) aimed at improving energy efficient communications for a variety of applications. Stan Cheung, Jonathan Wierer and Fred Kish lead NC State’s team.