The iMAGiNE consortium at the University of Texas at Austin provides methodologies focused on advancing intelligent systems across the cloud-edge continuum. These approaches emphasize hardware-software co-design and interdisciplinary collaboration to address modern computational challenges.
For membership inquiries:
Brian Shaw
Director of External Engagement
512-471-7504 | brian.shaw@austin.utexas.edu
Core Advantages
Cross-Domain Expertise
Collaborate with faculty and researchers working across the full technology stack – from nano-scale circuits to large-scale software systems – enabling holistic solutions for intelligent applications.
Cutting-Edge Research Access
Gain early exposure to advancements in three critical technical areas:
- Cloud: Numerous applications and edge systems are emerging, but an efficient smart cloud is necessary to support them, thus the Cloud thrust is intertwined with Edge and Applications thrusts. We focus on workload-driven and workload-aware design of cloud systems.
- Edge: The Edge thrust works synergistically with the Cloud and Applications thrusts to address the challenges involved in enabling the widespread deployment of deep learning on networked edge devices (e.g., resource scarcity, energy efficiency, security/privacy etc.), thus making the cloud-edge computing continuum a reality.
- Applications: Applications embody requirements related to latency and responsiveness, power and energy, correctness and accuracy, and privacy and security. At the same time, the edge and cloud resources are finite and shared. Applications must be subject to the physical and network constraints of the edge and cloud systems; collaboration and cooperation among applications must similarly navigate these constraints.
This interdisciplinary approach positions members at the forefront of intelligent systems engineering, with applications ranging from autonomous vehicles to adaptive IoT networks.
Membership Tiers & Costs
- Level 1: $75,000 (or $30,000 for companies with annual revenues <$100M)
- Level 2: $125,000
- Level 3: $200,000
Core Benefits by Tier
Access to Students | Level 1 | Level 2 | Level 3 |
| Access to Resume Book | ★ | ★ | ★ |
| ECE Connect Program - Corporate Tier |
| ★ | ★ |
| Participation in graduate-student poster session and lightning talks (held in conjunction with the advisory board meeting) | 2 seats | 3 seats | 5 seats |
Branding | Level 1 | Level 2 | Level 3 |
| Acknowledgment on website, promotional materials, and at affiliated events | ★ | ★ | ★ |
Collaboration | Level 1 | Level 2 | Level 3 |
| Attend annual advisory board meeting to provide feedback on research and education initiatives with participation in the advisory board dinner and networking event | 2 seats | 3 seats | 5 seats |
| Company hosted student poster session—1 event per year |
| ★ | ★ |
| Visit on campus with faculty, staff, and students to learn about the most advanced technologies through 1:1 meetings | ★ | ★ | ★ |
| Additional opportunities for faculty engagement in research collaborations, including use of affiliate equipment in on-campus research |
| ★ | ★ |
Research | Level 1 | Level 2 | Level 3 |
| Support graduate student research with assigned faculty partner |
| 1 | 2 |
Additional Collaborative Benefits
- Campus Visits: 1:1 meeting with faculty/staff to explore advanced technologies
- Faculty Partnerships: Opportunities for research collaborations using on-campus equipment
- Brand Visibility: Recognition on website, promotional materials, and events
Research Opportunities
- Collaborative Research
- Access to machine learning research aligned with company domains
- Connections with UT Austin's Institute for Foundations of Machine Learning, Machine Learning Laboratory, and Center for Generative AI researchers
- Annual reporting publications
Sponsored Research Options
- Industrial Affiliate Research
- Focused projects with faculty/research staff
- Potential for IP rights and negotiated deliverables
Directed Research
- Support for state/federally sponsored projects