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Ian Bentley

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Professor

Florida Polytechnic University

United States

Research Interests

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About

Ian Bentley is a Professor at Florida Polytechnic University, United States. His research focuses on machine learning applications in astrophysics and biology, particularly in stellar spectra generation, binding energy analysis, and the behavioral patterns of echolocating bats. Recent publications include studies on conditional variational autoencoders and deep learning methodologies for determining stellar parameters.

Recent Grants

Grant: Close

IIBR Informatics: Intuitive Sampling, Tracking and Counting Software for Biological Sciences

Open Date: 2019-09-01

Close Date: 2023-08-31

Articles (14)

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2026

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2022

Collaborators (3)

Caroline Brighton

University of Oxford

UNITED KINGDOM

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Marwan Gebran

Associate Professor

Saint Mary's College

UNITED STATES

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Graham K. Taylor

University of Oxford

UNITED KINGDOM

View details

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Ian Bentley

Research Interests

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About

Recent Grants

Articles (14)

Trust-utility gap in introductory physics education: Students’ adoption, domain-specific skepticism, and preferences for AI integration

Leveraging Pretrained ResNet Architectures for Enhanced Real-Time Bat Counting

The Use of Conditional Variational Autoencoders in Generating Stellar Spectra

Further exploration of binding energy residuals using machine learning and the development of a composite ensemble model

High precision binding energies from physical-feature-instructed machine learning

Deep learning application for stellar parameter determination: III-denoising procedure

Stereotyped active sensing in fast-diving echolocating bats

Improving Object Counting Accuracy with Adaptive CNN Models and Meta-Level Routing

Interaction rules guiding collective behaviour in echolocating bats

Color Saturation: Upper and Lower Percentage Histogram Manipulation

BatCount: A software program to count moving animals

Deep learning applications for stellar parameter determination: II-application to the observed spectra of AFGK stars

Deep learning application for stellar parameters determination: I-constraining the hyperparameters

Effects of climate on bill morphology within and across <i>Toxostoma</i> thrashers

Collaborators (3)

Caroline Brighton

Marwan Gebran

Graham K. Taylor

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