Lennart Bamberg

Guest Lecturer

Chair for Integrated Digital Systems, ITEM
University of Bremen (NW1)
Otto-Hahn Allee 1
28359 Bremen Germany

bamberg (at) uni-bremen.de

Research Topics

My current research topics concentrate on the following areas:

• Computer Architectures
  Efficient, scaleable, and heterogeneous computer architectures for embedded devices
• Edge-AI / TinyML
  Efficient AI/ML on resource constrained devices
• RISC-V
  Processor architectures based on the open and extendable RISC-V ISA
• On-chip Networks
  Reliable, efficient, and scaleable on-Chip interconnect architectures

Current positions

University of Bremen

Since 2020, I am a Guest Lecturer at the University of Bremen responsible for classes on computer architectures and methodologies for efficient AI/ML on resource constrained devices. My class "Architectures and Design-Methods for Deep-Learning Acceleration" is held every year in the winter semester for M.Sc. students. If you are interested in attending this class, please sign up in Stud.IP.

NXP Semiconductors

I am a Senior-Principal AI/ML Processor Architect and the head of the Advanced Computer Architecture Group at NXP Semiconductors in Hamburg, Germany. My team and I are working on next-generation AI/ML accelerators and RISC-V cores. If you are interested in joining NXP as a student/intern or as a full-time employee, working on either RISC-V or AI/ML hardware related topics, please reach out to me.