This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Dalhousie University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty.
Autonomous intelligent systems · 2025 · senior author
A hybrid Bi-LSTM model for data-driven maintenance planning.
Autonomous intelligent systems · 2025 · senior author
Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic.
Computers & industrial engineering · 2022
Latest funding
- $67,215
Just Transition for Cellular Agriculture: A Pilot Modelling Analysis
SSHRC · 2024 · Co-investigator
- $80,000
Intelligent maintenance and reliability optimization for mission-oriented systems under sustainability considerations
NSERC · 2023 · Principal investigator
- $100,000
Intelligent maintenance and reliability optimization for mission-oriented systems under sustainability considerations
NSERC · 2023 · Principal investigator
3 publications.
Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty.
O'Neil R, Khatab A, Diallo C
A hybrid Bi-LSTM model for data-driven maintenance planning.
Noussis A, O'Neil R, Saif A, Khatab A, Diallo C
Distributionally robust optimization of a Canadian healthcare supply chain to enhance resilience during the COVID-19 pandemic.
Ash C, Diallo C, Venkatadri U, VanBerkel P
Just Transition for Cellular Agriculture: A Pilot Modelling Analysis
Principal investigators: Blake, John
Keywords: Cellular agriculture; Just Transition Planning; Food Systems Transitions; Climate Resilient Food Systems; Agro-biodiversity; Supply Chain Modeling
Intelligent maintenance and reliability optimization for mission-oriented systems under sustainability considerations
Principal investigators: Diallo, Claver
Intelligent maintenance and reliability optimization for mission-oriented systems under sustainability considerations
Principal investigators: Diallo, Claver
Keywords: maintenance 4.0; reliability, availability and maintainability (ram); selective maintenance problem (smp); mission-oriented systems (mos); mission-abort policies; upgrading and warranty; condition-based maintenance; stochastic degradation processes; diagnosis and prognostics; machine learning
Automated scheduling at MDS Coating Inc.
Principal investigators: Venkatadri, Uday U
Planification de projets de réfection de navires
Principal investigators: Pellerin, Robert JYR
Keywords: intelligence artificielle; navires; optimisation; ordonnancement; planification de projet; programmation par contraintes; réfection
Covid-19 healthcare supply chain innovations with NSHA: decision-making for agility and responsiveness_x000d_
Principal investigators: Diallo, Claver
Maintenance, reliability and performance optimization for remanufacturing and sustainability
Principal investigators: Diallo, Claver
Development of a Decision Tool for Dynamic Scheduling and Routing of Maintenance Technicians for a Distributed Fleet of Machines
Principal investigators: Diallo, Claver
Proactive Diagnostic Process Optimization and Integration for a Distributed Fleet of Machines
Principal investigators: Diallo, Claver
Introductory meeting with Metro SCG: Collaboration and scoping discussions on supply chain networks and warehousing optimization
Principal investigators: Diallo, Claver
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
- Ahmed Saif and Claver Diallo: 1 shared paper
- Peter Vanberkel and Claver Diallo: 1 shared paper
- Peter Vanberkel and Uday Venkatadri: 1 shared paper
- Claver Diallo and Uday Venkatadri: 1 shared paper
- Industrial Engineering
Co-authors at Dalhousie University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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