Prof. Max M Shulaker

Emanuel E Landsman (1958) Career Development Associate Professor of Electrical Engineering and Computer Science

Primary DLC

Department of Electrical Engineering and Computer Science

MIT Room: 39-567B


Steven O'Hearn

Areas of Interest and Expertise

Nanosystems Exploiting Emerging Nanotechnologies
Carbon Nano-Tube-Based Computer

Research Summary

Shulaker’s current research interests are in the broad area of nanosystems. His research results include the demonstration of the first carbon nanotube computer (highlighted on the cover of Nature, Sept. 2013), the first digital sub-systems built entirely using carbon nanotube FETs (awarded the ISSCC Jack Raper Award for Outstanding Technology-Directions Paper, 2013), the first monolithically-integrated 3D integrated circuits combining arbitrary vertical stacking of logic and memory (IEDM 2014), the highest-performance CNFETs to-date (IEDM 2014), and the first highly-scaled CNFETs fabricated in a VLSI-compatible manner (IEDM 2015). Shulaker also enjoys teaching and has been a guest lecturer in several classes at Stanford. He was a Fannie and John Hertz Fellow and a Stanford Graduate Fellow.

Recent Work

  • Video
    November 22, 2017Conference Video Duration: 34:52

    Max Shulaker - RD2017

    Transforming Nanotechnologies into Applications

    While trillions of sensors that will soon connected to the “Internet of Everything” (IoE) promise to transform our lives, they simultaneously pose major obstacles, which we are already encountering today. The massive amount of generated raw data (i.e., the “data deluge”) is quickly exceeding computing capabilities, and cannot be overcome by isolated improvements in sensors, transistors, memories, or architectures alone. Rather, an end-to-end approach is needed, whereby the unique benefits of new emerging nanotechnologies – for sensors, memories, and transistors – are exploited to realize new system architectures that are not possible with today’s technologies. However, emerging nanomaterials and nanodevices suffer from significant imperfections and variations. Thus, realizing working circuits, let alone transformative nanosystems, has been infeasible. In this talk, I present a path towards realizing these future systems in the near-term, and show how based on the progress of several emerging nanotechnologies (carbon nanotubes for logic, non-volatile memories for data storage, and new materials for sensing), we can begin realizing these systems today. As a case-study, I will discuss how by leveraging emerging nanotechnologies, we have realized the first monolithically-integrated three-dimensional (3D) nanosystem architectures with vertically-integrated layers of logic, memory, and sensing circuits. With dense and fine-grained connectivity between millions of on-chip sensors, data storage, and embedded computation, such nanosystems can capture terabytes of data from the outside world every second, and produce “processed information” by performing in-situ classification of the sensor data using on-chip accelerators. As a demonstration, we tailor a demo system for gas classification, for real-time health monitoring from breath.

    2017 MIT Research and Development Conference