Max


Simula Research Laboratory
Oslo, Norway
Email: maxh[at]simula.no

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About

I am an ERCIM Research Fellow at Simula Research Laboratory, supervised by Professor Leon Moonen.

My research interests lie on the intersection of machine learning and software engineering, non-functional optimization, and fairness. In particular, I focus on the use of large language models trained on source code to detect and repair software vulnerabilities.


Publications

  • An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code (ESEM'23) [Bibtex] [pdf]
  • The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification (FSE'23) [Bibtex] [pdf]
  • Multi-objective Search for Gender-Fair and Semantically Correct Word Embeddings HOP (GECCO'23) [Bibtex] [pdf]
  • Multi-objective Search for Gender-Fair and Semantically Correct Word Embeddings (Appl.SoftComput.'23) [Bibtex] [pdf]
  • Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (arXiv'22) [Bibtex] [pdf]
  • Fairness Testing: A Comprehensive Survey and Analysis of Trends (arXiv'22) [Bibtex] [pdf]
  • Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances (arXiv'22) [Bibtex] [pdf]
  • An Empirical Study on the Fairness of Pre-trained Word Embeddings (GEBNLP'22) [Bibtex] [pdf]
  • Py2Cy: A Genetic Improvement Tool To Speed Up Python (GI@GECCO'22) [Bibtex] [pdf]
  • Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness (Fairware'22) [Bibtex] [pdf]
  • Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination (ASE'22) [Bibtex] [pdf]
  • Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods (FSE'21) [Bibtex] [pdf]
  • The Effect of Offspring Population Size on NSGA-II: A Preliminary Study (GECCO'21) [Bibtex] [pdf]
  • A Survey of Performance Optimization for Mobile Applications (TSE'21) [Bibtex] [pdf]
  • Optimising Word Embeddings With Search-Based Approaches (GECCO'20) [Bibtex] [pdf]

Master Thesis

  • Using Deep Learning to Improve Proof-Number Search in Two-Player Board Games [pdf]

Service

  • Invited speaker at the 63rd CREST Open Workshop
  • Co-Chair RENE/NIER Track for SSBSE'23
  • Junior PC for MSR'23 (Distinguished Reviewer)
  • Shadow PC for MSR'22
  • Reviewer for TSE
  • Reviewer for TOSEM
  • Reviewer for EMSE
  • Reviewer for JAIR
  • Co-reviewer for ASE'22
  • Co-reviewer for ICSE'22
  • Co-reviewer for FSE'21, FSE'22
  • Co-reviewer for SANER'20
  • Student Volunteer ICSE'21
  • Student Volunteer FSE'20
  • Teaching Assistant COMP0137 Machine Vision
  • Teaching Assistant COMP0066 Introduction to Programming
  • Teaching Assistant COMP0005 Algorithms
  • Co-supervision of MSc student projects (Fairness of Word Embeddings, Genetic Improvement for Python)