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Chris Whidden

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Assistant ProfessorComputerscienceDalhousie University

Chris Whidden

Assistant Professor

Computerscience

Dalhousie University

Halifax, Nova Scotia, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
16 publications in the last five years, latest in 2026.
Senior (last) author on 8 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

930

Citations

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

University Profile

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Signals and details

Research

Read how they describe their research on their Dalhousie University profile.

Latest papers

TBRDist: Calculate Rearrangement Distances Between Unrooted Phylogenetic Trees
Zenodo (CERN European Organization for Nuclear Research) · 2026 · senior author
Machine Learning in Fish Farming
2026 · senior author
Advancing passive acoustic ship detection in the Western Canadian Arctic: Signal processing and deep learning approaches.
The Journal of the Acoustical Society of America · 2026

All 51 publications

51 publications.

TBRDist: Calculate Rearrangement Distances Between Unrooted Phylogenetic Trees

Martin Ross Smith, Chris Whidden

Zenodo (CERN European Organization for Nuclear Research)2026Senior authorOpen Access

DOI: 10.5281/zenodo.22256842

Machine Learning in Fish Farming

Fearghal O’Donncha, Nikos Papandroulakis, Jennie Korus, Abigail Langbridge, Alexander Timms, Konstantinos Topouzelis, Abdul Baseer Khan, Shree Rama Kamal Kumar Vegu, Mahtab Sarvmaili, Ryan Mowat, Rhanna Turberville, Tyler Sclodnick, Chris Whidden

2026Senior authorOpen Access

DOI: 10.1007/978-3-032-10362-8_3

Advancing passive acoustic ship detection in the Western Canadian Arctic: Signal processing and deep learning approaches.

Jedari-Eyvazi F, Frazao FS, Halliday WD, Gehrmann R, Menelon L, Dingwall JT, Whidden C, Dowd M

The Journal of the Acoustical Society of America2026

DOI: 10.1121/10.0043937 PMID: 42240550

Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery

Catherine Evans, Romina A. S. Gehrmann, Christopher S. Greene, Sarah Blenis, Roxanne MacKinnon, Jason Newport, Sarah Vela, Matt Smith, Zahra Sadeghi, Stan Matwin, Chris Whidden

Frontiers in Remote Sensing20252 citationsSenior authorOpen Access

DOI: 10.3389/frsen.2025.1633491

Modeling dynamics of adult female lice at salmon farming sites in Eastern Canada: a stochastic, state-based approach

Francisco Bravo, Mariana Oliveira, Marianne I. Parent, Jennie Korus, Tyler Sclodnick, Ian Gardner, Chris Whidden, Ramón Filgueira, K. Larry Hammell, Andrew K. Swanson, Luı́s Torgo, Jon Grant

Frontiers in Aquaculture2025Open Access

DOI: 10.3389/faquc.2025.1647026

Variable parallelism in the genomic basis of age at maturity across spatial scales in Atlantic Salmon.

Kess T, Lehnert SJ, Bentzen P, Duffy S, Messmer A, Dempson JB, Newport J, Whidden C, Robertson MJ, Chaput G, Breau C, April J, Gillis CA, Kent M, Nugent CM, Bradbury IR

Ecology and evolution202410 citationsOpen Access

DOI: 10.1002/ece3.11068 PMID: 38584771

Ranked Subtree Prune and Regraft

Lena Collienne, Chris Whidden, Alex Gavryushkin

Bulletin of Mathematical Biology20243 citationsOpen Access

DOI: 10.1007/s11538-023-01244-2 PMID: 38294587

Detecting Unexpected Marine Species with Underwater Cameras and Deep Learning

Devi Ayyagari, Corey J. Morris, Joshua G Barnes, Chris Whidden

20242 citationsSenior author

DOI: 10.1109/oceans55160.2024.10754192

Advancing Precision Aquaculture Through Big Data Analytics and Machine Learning in Canadian Fish Farming

Francisco Bravo, Joana Amorim, Melika Besharati Amirkandeh, Peter Bodorik, Vítor Cerqueira, Nuno Gomes, Jennie Korus, Mariana Oliveira, Marianne I. Parent, João Pimentel, Derek F. Reilly, Tyler Sclodnick, Jon Grant, Ramón Filgueira, Chris Whidden, Luı́s Torgo

20241 citations

DOI: 10.1109/oceans55160.2024.10754571

Applying Deep Learning to Predict Adverse Environmental Conditions in Fish Aquaculture Pens

A. Khan, Jennie Korus, Tyler Sclodnick, Chris Whidden

20241 citationsSenior author

DOI: 10.1109/oceans55160.2024.10754551

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Chris Whidden

Research

Latest papers

TBRDist: Calculate Rearrangement Distances Between Unrooted Phylogenetic Trees

Machine Learning in Fish Farming

Advancing passive acoustic ship detection in the Western Canadian Arctic: Signal processing and deep learning approaches.

Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery

Modeling dynamics of adult female lice at salmon farming sites in Eastern Canada: a stochastic, state-based approach

Variable parallelism in the genomic basis of age at maturity across spatial scales in Atlantic Salmon.

Ranked Subtree Prune and Regraft

Detecting Unexpected Marine Species with Underwater Cameras and Deep Learning

Advancing Precision Aquaculture Through Big Data Analytics and Machine Learning in Canadian Fish Farming

Applying Deep Learning to Predict Adverse Environmental Conditions in Fish Aquaculture Pens

Frequent collaborators

Christopher Whidden

Norbert Zeh

Rob Beiko

Robert Beiko

Luis Torgo

Vlado Keselj

Ian Bradbury

Paul Bentzen

Ramon Filgueira

Stan Matwin

Jean Quirion

Morgan Langille

Sageev Oore

Christian Blouin

Michael Dowd

Derek Reilly