Tim Menzies

Tim Menzies

prof, phd, cs, se, ai
ACM / IEEE / ASE Fellow
EIC of ASE journal
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I earned my Ph.D. in Computer Science from UNSW (1995) and am now a Full Professor at NC State University, where I direct the Irrational Research Lab (mad scientists 'r us).

My work focuses on software engineering for AI, specifically building data-driven, explainable, and intelligent software systems. I am an ACM, IEEE, and ASE Fellow, and co-creator of the PROMISE repository, showing that small, interpretable AI models can often outperform larger, more complex ones.

I have published over 300 papers with 24,000+ citations (h-index=74) and advised 24 Ph.D. students. I serve as Editor-in-Chief of the Automated Software Engineering journal and, from 2010 to 2026, as an Associate Editor for IEEE TSE.

My research is supported by $19M in competitive grants from government (NASA, NSF, NSA) and industry (LexisNexis, Microsoft, Meta). Recent: $2.5M from NSF + $1M from NSA for trustworthy compact AI.

Microsoft Meta
LexisNexis NSF NASA NSA

Simpler, optimized models yield exceptional results while remaining transparent and trustworthy. Reproducibility and simplicity over "black box" deep learning.

  • FSE'26 Data-Light SE Challenge [pdf]
  • VERIFAI'26 Exploiting Software Sparsity [pdf]
  • TOSEM'26 LLMs Warming-Up Active Learning [pdf]
  • CACM'25 The Case for Compact AI [pdf]
  • TOSEM'24 Learning from Very Little Data
  • EMSE'24 Co-Training for Defect Prediction
  • IEEE Access'24 Partial Ordering for Model Reasoning
  • EMSE'22 Minimizing Tech Debt Labeling Cost

Where LLMs and deep learning help — and where they hurt. How to prompt, warm-start, and robustify LLM-based SE pipelines.

  • EMSE'26 Improving LLM Annotations [pdf]
  • MSR'26 Domain Knowledge for LLM Optimization [pdf]
  • IEEE IC'23 Variances in Robust DL
  • TSE'22 Oversampling for DL Defect Prediction
  • MSR'22 Improving DL for SE Analytics
  • MSR'22 GANs for Security Class Imbalance

Practical vulnerability detection and cyberthreat intelligence via active learning and adversarial ML.

  • KAIS'25 Mining CTI Attack Patterns [pdf]
  • ICDM'24 Temporal Cyberattack Patterns
  • EMSE'22 Ensembles Against Evasion Attacks
  • EMSE'21 Security Bug Report Classification

Better predictors for software quality, project health, and technical debt via smarter sampling, transfer learning, and hyperparameter optimization.

  • MSR'26 Multi-Objective Optimization Repo [pdf]
  • TSE'25 Is HPO Different for SE? [pdf]
  • TSE'25 Static Code Mining Retrospective [pdf]
  • SIGSOFT SEN'25 Replications & Negative Results
  • ESA'23 Expert System for Cloud SE
  • EMSE'22 Process vs. Product Metrics
  • EMSE'22 Predicting OSS Project Health
  • MSR'22 Stabilizing Models Across Projects
  • ICSE'21 Early Life Cycle Defect Prediction

Methods to verify, audit, and correct AI outputs — ensuring decisions can be inspected, reproduced, and challenged.

  • JSS'26 Explaining Optimization Heuristics [pdf]
  • IEEE SW'25 AI in State Courts [pdf]
  • EMSE'25 Causal Graphs in SE [pdf]
  • EMSE'23 Interpreting Model-Based Opt.
  • TSE'24 Equalized Odds via Pre-Processing
  • IEEE Access'24 Scalability, Privacy, & Performance
  • ICSE'26 SE Journals in 2036 [pdf]
  • TSE'24 Scoping SE for AI
  • IST'24 Contributions of Guenther Ruhe
  • CACM'23 (Re)Use of Research Results
  • IEEE Computer'22 AI and SE: Are We Ready?

Current Ph.D. Students (3)

YearNameLocation
2028Srinath SrinivasanNC State
2027Kishan GangulyNC State
Amirali RayeganNC State

Completed Ph.D.s (24)

YearNameWhere Now
2024Andre LutosaRed Hat
Kewen PengMeta
Rahul YedidaLexis Nexis
2023Sherry (Xueqi) YangOracle
Xiao LingMeta
Suvodeep MajumderAWS
2021Rui ShuHong Kong
Shrikanth ChandrasekaranOracle
Tianpei (Patrick) XiaNewsBreak
Huy TuLinkedIn
2020Joymallya ChakrabortyAmazon
2019Zhe YuRIT
Rahul KrishnaIBM Research
Jianfeng ChenMeta
Amritanshu AgrawalTikTok
Vivek NairMeta
2018Wei FuMeta
2014Abdel Salam SayyadBirzeit U.
Fayola PetersJ&J
Joe KrallCloudvirga
2012Ekrem KocaguneliPinterest
2011Ashutosh NandeshwarCCS Fundraising
2007David OwenMessiah College
2004Scott ChenMasimo.com

2026

  • Reappointed EIC, ASE journal
  • PC member, FSE'27
  • Co-chair, Future of SE, ICSE'28
  • PC Member, ICSE'27 NIER
  • ICSE'26 panel: future of SE
  • IEEE Fellows Review Committee

2025

  • ASE'26, ICSE'26 area chair
  • PC: ISSTA'26, FSE'26, CAIN'26
  • Talk, Valencia SE Group
  • Co-chair, EMSE Doctoral Symp.
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