Navid Yazdi

Navid Yazdi is a Professor in the Department of Electrical and Computer Engineering (ECE) at Michigan State University's College of Engineering. He holds a Ph.D. in Electrical Engineering from the University of Michigan (1999) and an M.S. in Electrical Engineering from the University of Windsor, Canada (1993). His research focuses on high-performance analog-digital ICs for edge AI, AI-IoT embedded systems, and wafer-scale heterogeneous integration. He has over 20 years of experience spanning academia, Fortune 500 companies, and startups, with expertise in semiconductor chips, embedded systems, IoT, and MEMS-based integration.

Education:

• Ph.D., Electrical Engineering, University of Michigan, Ann Arbor (1999)
• M.S., Electrical Engineering, University of Windsor, Canada (1993)

Research Interests:

Dr. Yazdi’s work emphasizes advancing semiconductor technologies for AI-IoT applications, wafer-scale integration, and system-in-package solutions. His contributions bridge hardware-software co-design and MEMS innovations to enhance embedded system performance and scalability. He actively explores edge computing architectures and energy-efficient IC designs for next-generation AI systems.

Awards:

• Senior Member of IEEE

Advising & Experience:

With extensive industry and academic collaboration, Dr. Yazdi has contributed to both theoretical advancements and practical implementations in semiconductor and IoT domains. His career spans diverse sectors, reflecting a commitment to translating research into real-world applications.

Labs/Teams:

While specific lab names are not mentioned, his research likely involves collaborations within MSU’s ECE department and industry partners in semiconductor and IoT sectors.