Khoa Vo
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Also affiliated: University of Wollongong (2014–2015); CRC for Rail Innovation (2014–2015)
Research Areas
Biography and Research Information
OverviewAI-generated summary
Khoa Vo's research has focused on the study of mechanical and thermal phenomena in engineering systems, particularly in the context of wheel-rail contact. His work has involved developing models to investigate contact under varying adhesion conditions, including high and low adhesion scenarios, and assessing the resulting damage to rails. Vo has also employed finite element methods to predict damage formation on curved tracks, considering different wear statuses of wheel and rail profiles. Additionally, his research has addressed the estimation of wheel/rail contact and temperature rise under different environmental conditions such as dry, wet, and oily surfaces. Comparisons of stress, heat, and wear generated by different locomotive types under diverse operational conditions have also been part of his investigative scope. Vo has a documented h-index of 8 and has authored 26 publications, accumulating 327 citations. He has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Taisei Hanyu, Chase Rainwater, Ngan Le, and Anthony L. Gunderman.
Metrics
- h-index: 8
- Publications: 20
- Citations: 320
Selected Publications
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Gripper-Aware Vision Language Action Models (2026)
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OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs (2026)arXiv (Cornell University) OpenAlex
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OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs (2026)
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CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models (2026)arXiv (Cornell University) OpenAlex
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CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models (2026)
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Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective (2026)
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CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling (2025)
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VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning (2023)
Collaboration Network
Top Collaborators
- VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models
- Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective
- Gripper-Aware Vision Language Action Models
- CodeGraphVLP: Code-as-Planner Meets Semantic-Graph State for Non-Markovian Vision-Language-Action Models
- OmniSpace: Efficient Geometry Awareness for Autonomous Vehicles MLLMs
- VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
- VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
- CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling
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