Artificial Intelligence

Artificial Intelligence at ECSE

Advancing the AI revolution.

The University of Arizona’s School of Electrical, Computing and Software Engineering is pioneering advances in artificial intelligence and machine learning. Through visionary research, a real-world curriculum and strong industry partnerships, students and faculty create tomorrow’s technologies.

Research excellence shaping the future

ECSE researchers at the U of A are solving global challenges through next-generation AI and quantum networks, secure wireless systems and bio-inspired technologies.

18 faculty leaders drive education and hands-on exploration, with over $10M in research funding since 2020. And more than 200 peer-reviewed publications in the past five years position the department as a key leader in the field.

AI hardware & edge computing
Neural networks & deep learning
Robotics & cyber-physical systems
Intelligent machines for health and mobility
AI for health & bioinformatics
AI security & privacy

Discover Your Dream Career

ECSE graduates have the skills to build tomorrow’s world and shape AI into a sustainable benefit for society.

From core fundamentals like machine learning and neural networks to ingenious advanced intelligent systems, tackle real-world projects in healthcare, robotics, LLMs and virtually any industry that interests you.

BS and MS degrees are available on-campus and online. Or pursue continued studies through on-campus MS and PhD programs with immersive AI research opportunities.

Outside the Classroom

Expand your network and your knowledge with a multitude of early-career possibilities, student organizations and real-world research, including:

Experience capstone projects and internships that build relationships with companies and national labs
Join the AI Hardware Design League, where interdisciplinary teams build AI hardware, sponsored by Arm, NVIDIA, and other industry partners
Connect with peers and potential employers at student clubs and competitions, like Hack Arizona, IEEE, and AI-specific groups
Delve into life-changing research with global leaders in the field on government and industry-funded projects

Faculty at the Forefront of AI

Tosiron Adegbija – neuromorphic AI
Ali Akoglu – embedded AI systems
Boulat Bash – quantum machine learning
Ali Bilgin – medical imaging AI
Siyang Cao – AI in healthcare
Jyotikrishna Dass – optimization, federated learning
David Ebert – visual analytics and explainable AI
Marwan Krunz – wireless communication, NextG
Eungjoo Lee – computer vision and AI for healthcare
Bo Liu – reinforcement learning, agentic AI

Abhijit Mahalanobis – computer vision
Janet Roveda – digital health AI
Jerzy Rozenblit – AI in medicine and surgery
Soheil Salehi – AI for chip design
Ravi Tandon – AI security and privacy
Michael Wu, Loukas Lazos and Ming Li – AI security and cyber-physical system security
Han Xu – AI efficiency
Huanrui Yang – hardware/software co-design for AI

pair of hand writing on mobile device, AI prompt screen projected above it

Create the Future of Artificial Intelligence

AI is transforming every industry and the engineers who can build it are in high demand.

The University of Arizona's graduate certificate in Artificial Intelligence Engineering gives you the hands-on skills to design, train and deploy AI systems. Fast-track your path to a lucrative career.

Explore flexible and on-campus and online options.

Partners in Progress

ECSE collaborates with leading AI companies, national agencies, and campus initiatives to push the limits of what is possible and help make the world a better place.

Industry partners include NVIDIA, Siemens, Arm and Intel. And campus-wide initiatives – such as Artificial Intelligence at U of A, AI Access and Integrity Working Group, AI Verde, AI and XR Studio, AI Core’s XR Lab – are taking the reins to lead the field into the future.

This effort is led across the university by David Ebert, chief AI & data science officer and tenured faculty member of ECSE, who guides AI strategy on campus.

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