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Nick Cheney

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Nick Cheney

Nick Cheney is a researcher affiliated with the University of Vermont. His work spans genetic and evolutionary computation, soft robotics, and applications of machine learning to clinical and biomedical data.[1]

Research

According to Semantic Scholar, Cheney has published 43 papers that have collectively received 2,218 citations, with an h-index of 18.[2] His research includes work on the co-optimization of morphology and control in soft robots, evolutionary computation methods such as genetic algorithms for influence maximization and many-objective optimization, and evolutionary dynamics of gene networks.[3] He has also contributed to biomedical research applications, including digital phenotyping of instability and fatigue in persons with multiple sclerosis, wearable-based assessment of postural sway, preeclampsia risk modeling, and machine learning approaches to predicting postoperative reintubation.[4]

Selected publications

  • "Hot off the Press: The Genomic Code: The Genome Instantiates a Generative Model of the Organism" (2026), Proceedings of the Genetic and Evolutionary Computation Conference Companion[5]
  • "Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis" (2023), IEEE Transactions on Neural Systems and Rehabilitation Engineering[6]
  • "Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis" (2023), IEEE Transactions on Neural Systems and Rehabilitation Engineering[7]
  • "Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots" (2023), Annual Conference on Genetic and Evolutionary Computation[8]
  • "OmnImage: Evolving 1k Image Cliques for Few-Shot Learning" (2023), Annual Conference on Genetic and Evolutionary Computation[9]
  • "Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization" (2023), GECCO Companion[10]
  • "Many-objective Optimization via Voting for Elites" (2023), GECCO Companion[11]
  • "Coping with seasons: evolutionary dynamics of gene networks in a changing environment" (2023), GECCO Companion[12]
  • "Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy" (2023), Annual International Conference of the IEEE Engineering in Medicine and Biology Society[13]
  • "A machine learning approach to predicting early and late postoperative reintubation" (2022), Journal of Clinical Monitoring and Computing[14]
  1. ↑ Semantic Scholar author profile for Nick Cheney.
  2. ↑ Semantic Scholar author profile for Nick Cheney.
  3. ↑ Semantic Scholar author profile for Nick Cheney.
  4. ↑ Semantic Scholar author profile for Nick Cheney.
  5. ↑ Semantic Scholar author profile for Nick Cheney.
  6. ↑ Semantic Scholar author profile for Nick Cheney.
  7. ↑ Semantic Scholar author profile for Nick Cheney.
  8. ↑ Semantic Scholar author profile for Nick Cheney.
  9. ↑ Semantic Scholar author profile for Nick Cheney.
  10. ↑ Semantic Scholar author profile for Nick Cheney.
  11. ↑ Semantic Scholar author profile for Nick Cheney.
  12. ↑ Semantic Scholar author profile for Nick Cheney.
  13. ↑ Semantic Scholar author profile for Nick Cheney.
  14. ↑ Semantic Scholar author profile for Nick Cheney.
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