LabCompass

Andrew Lukefahr

Computer Science · Indiana University

OpenAlex ORCID
Physical Unclonable Functions (PUFs) and Hardware SecurityParallel Computing and Optimization TechniquesInterconnection Networks and SystemsAdvanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Publications

20

Citations

814

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2012

Research summary
AI-generated

Andrew Lukefahr works in computer architecture and hardware security, studying how computer chips and reconfigurable hardware (such as FPGAs) can be made more energy-efficient and better protected against tampering or reverse engineering. Recent projects include techniques to speed up neural network computation on embedded devices and methods for securing the configuration data ('bitstreams') that program FPGA chips.

Hardware security and FPGA protectionEnergy-efficient computer architectureNeural network acceleration on embedded hardwareReverse engineering and side-channel attacksReconfigurable computing

Publication activity has been intermittent over the past decade, with a modest peak around 2019 and a lower, steady output of roughly one paper per year more recently.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.8/year recently
2017: 3 publications17182019: 4 publications4192020: 2 publications202021: 1 publication21222023: 2 publications232024: 1 publication242025: 1 publication2526
Recent publications
Publishes in
  • ACM Transactions on Embedded Computing Systems×2
  • ACM SIGARCH Computer Architecture News×1
  • arXiv (Cornell University)×1
  • Deep Blue (University of Michigan)×1
  • IEEE Conference Proceedings×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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