Edge AI • Microsystems • Heterogeneous Integration

Intelligent Edge Microsystems Research Lab (I-EML)

The Intelligent Edge Microsystems Research Lab at Michigan State University advances the science and engineering of intelligent, high-performance computing and sensing at the network edge. Our work sits at the intersection of artificial intelligence, distributed systems, advanced sensing, and next-generation hardware, with a mission to create technologies that deliver fast, reliable, and efficient intelligence wherever data is generated.

We integrate advanced AI and deep learning, AI-IoT sensing technologies, hardware–software co-design, and heterogeneous integration approaches to push the boundaries of edge computing performance and capability.

View Open Positions Explore Research Thrusts

High-Performance Compute & Embedded AI Systems

Distributed AI, Deep Learning & AI-IoT Applications

3D Heterogeneous Integration & Advanced Packaging

MEMS Sensors, Microsystems & Packaging

Core research thrusts enabling intelligent edge systems.

Research Thrusts

Our current projects span several interconnected areas:

High-Performance Compute & Embedded AI Systems

Designing and optimizing edge-deployable AI platforms, compact advanced compute nodes, and embedded intelligence solutions for distributed environments.

Distributed AI, Deep Learning & AI-IoT Applications

Developing novel algorithms, models, and use cases—with an initial focus on healthcare, remote monitoring, and distributed sensing systems.

3D Heterogeneous Integration & Advanced Packaging

Investigating cooling, thermal management, and electrical/optical interconnects in multi-layer stacked 3D systems to enable next-generation high-density computing modules.

MEMS Sensors, Microsystems & Packaging

Leveraging a strong track record in advanced MEMS technologies to design and explore high-performance sensors and microsystems tailored for AI-IoT and edge applications.

Healthcare-Focused AI Innovations

A significant portion of our current research addresses critical healthcare challenges. Ongoing projects include:

AI-based image-analysis tools to support cardiovascular-patient care and home monitoring
AI-driven vocal biomarker analysis for early detection and progression tracking of neurodegenerative diseases
Integrated sensing, deep learning, and embedded computation to enable continuous, reliable health insights outside clinical settings

Our multidisciplinary expertise—spanning AI/ML model development, image and speech processing, sensor design, embedded systems, and heterogeneous integration—positions the lab as a strong collaborator for research partners in co-developing innovative solutions and joint research programs.

Translational & Collaborative Focus

Our healthcare projects are designed with translation in mind, emphasizing robust sensing, trustworthy AI models, and deployment in real-world environments such as homes, clinics, and remote-care settings.

We are interested in joint efforts with clinical, industrial, and academic partners to validate technologies, co-develop platforms, and pursue collaborative funding mechanisms.

Lab Director

Dr. Navid Yazdi

Professor of Electrical and Computer Engineering and Computer Science and Engineering, MSU

The lab is led by Dr. Navid Yazdi, Professor of Electrical and Computer Engineering and Computer Science and Engineering at MSU. He directs research that brings together computing, sensing, and microsystems to advance intelligent and distributed technologies. He is also a technology entrepreneur with more than two decades of experience across academia, Fortune 500 and startup industry.

Open Positions

Open Positions:

Ph.D. Research Assistant Positions

We currently have multiple funded openings. Preference is given to Ph.D. applicants who hold an M.S. degree and to candidates with prior relevant experience in any of the lab’s core research areas.

Master’s and Undergraduate Research Positions

We are also looking for talented M.S. and undergraduate students interested in our research topics. Hourly research positions are available for select, highly motivated students.

How to Apply

If your background aligns with our research and you are interested in joining the lab, please email the following materials to yazdi@msu.edu:

A detailed CV
GPA and transcripts (or a list of relevant courses with grades)
A research statement describing your background, skills, and research interests as they relate to our lab’s work

If there is a strong match, we will contact you regarding next steps.

For general inquiries or collaboration opportunities, please contact yazdi@msu.edu.