Tim Menzies
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prof, phd, cs, se, ai
  +1-304-376-2859
  timm@ieee.org

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I am an ACM fellow, IEEE fellow, ASE fellow and the editor-in-chief of the Automated SE journal. For 2010–2026 I was an Associate Editor, IEEE TSE.

I earned my PhD from UNSW (1995) and am a Full Professor at NC State, where I direct the Irrational Research Lab. My work focuses on software engineering for AI — building data-driven, explainable, and intelligent software systems. I co-created the PROMISE repository and its successor, the MOOT repository (Many Multi-Objective Optimization Tasks), showing that small, interpretable AI models can often outperform larger, more complex ones.

Career

"If you're a bit better than most at a particular kind of analysis or a specific domain, choose research topics where you can use that." — Herb Simon

News

paper · appointed · talk · keynote · blog · panel · award · tool

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Sep'26Software: Practice & Experience: Can AI be Easy? Lessons Learned from the EZR.py Toolkit (pdf)
Invited talk, Cloud Native RTP (Sep 8, Hunt Library): From Open Source to AI: How We Got Here — and Where We're Going
Sep'26SPE: Can AI be Easier? Lessons Learned from the EZR.py Toolkit (pdf)
Invited talk, Cloud Native RTP (Sep 8, Hunt Library): From Open Source to AI: How We Got Here — and Where We're Going (slides)
NCSU news: Williams, Menzies inducted into inaugural class of the ACM SIGSOFT Academy
Named: 2026 Springer Nature Editor of Distinction (for EIC, Automated SE journal)
Aug'26Invited: Evaluation Committee, 2027 IEEE Fellows
Invited: PC, SANER'27
Jul'26Invited: PC, MSR'27
IEEE Software: The Impact of AI on Productivity and Code
Inducted: inaugural class, ACM SIGSOFT Academy (photo)
arXiv: Which Optimizer, At What Budget? A Tournament of Optimizers for SBSE (pdf)
arXiv: Is Model Instability just Noise, or a Property that can be Managed? (pdf)
arXiv: Better Together, in the Right Order: Classical-then-LLM Optimization (pdf)
Invited: PC, AAAI'27 AI for Social Impact Track
SSBSE'26 keynote: easier AI?
TSE: Time Efficiency of Code Generated & Optimized by LLMs
TSE: Less Noise, More Signal — the DRR Effect (pdf)
luk on luarocks — Lua + Python-style indentation (read the tour)

» more news & older

wanna work with me ?

Are you industry? Or enrolled at NC State?
want to find+fix bugs in real ai/ml?
Email me, and/or take my SE+AI subject (Fall'26),
and/or sign up for my reading group (Fall 2026).

NC State ©2026, timm, MIT License
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