Beatrice Ombuki-Berman, Brock University

Research

algorithm behaviour analysis control parameter selection evolutionary algorithms fitness-aware algorithm selection fitness landscape analysis large-scale optimization Metaheuristics multi/many-objective optimization

Latest papers

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.
BMC bioinformatics · 2024 · senior author
Integrating transformers and many-objective optimization for drug design.
BMC bioinformatics · 2024 · senior author

All 2 publications

Latest funding

Development and Analysis of Metaheuristics for Challenging Large-Scale Optimization Problems
NSERC · 2022 · Principal investigator
$72,000
Efficient evolutionary computation for the automatic generation of graph models for complex networks and optimization problems
NSERC · 2016 · Principal investigator
$20,000
Bio-inspired metaheuristics for combinatorial optimization in static and dynamic environments
NSERC · 2006 · Principal investigator
$60,000

All 3 grants and awards

2 publications.

01

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.

Aksamit N, Tchagang A, Li Y, Ombuki-Berman B

BMC bioinformatics2024Senior author

DOI: 10.1186/s12859-024-05861-z PMID: 39090573

02

Integrating transformers and many-objective optimization for drug design.

Aksamit N, Hou J, Li Y, Ombuki-Berman B

BMC bioinformatics2024Senior author

DOI: 10.1186/s12859-024-05822-6 PMID: 38849719

Development and Analysis of Metaheuristics for Challenging Large-Scale Optimization Problems

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Ombuki-Berman, Beatrice

Keywords: particle swarm optimization; metaheuristics; fitness landscape analysis; algorithm behaviour analysis; fitness-aware algorithm selection; control parameter selection; large-scale optimization; multi/many-objective optimization; evolutionary algorithms; real-world combinatorial optimization problems

$72,000

Efficient evolutionary computation for the automatic generation of graph models for complex networks and optimization problems

Principal investigatorNSERC2016Discovery Development Grant

Principal investigators: OmbukiBerman, Beatrice

$20,000

Bio-inspired metaheuristics for combinatorial optimization in static and dynamic environments

Principal investigatorNSERC2006Discovery Grants Program - Individual

Principal investigators: OmbukiBerman, Beatrice

$60,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Computer Science
Department of Computer Science
Chemistry

Co-authors at Brock University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Yifeng Li

Department of Computer Science

2 shared papers, latest 2024

Jinqiang Hou

Chemistry

1 shared papers, latest 2024

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: algorithm behaviour analysis Dear Professor Ombuki-Berman, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Development and Analysis of Metaheuristics for Challenging Large-Scale Optimization Problems" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]