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Vladimir Kulyukin

Associate Professor

Utah State University

United States

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Research Interests

Computational Neuroscience

30%

Artificial Intelligence

30%

Honeybee

40%

Computational Theory

20%

Sensor Technology

20%

Symbolic Computation

20%

Functional Programming

20%

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Recent Grants

Grant: Close

BeePi: Honeybees Meet AI: Stage 3

Open Date: 2021-01-01

Close Date:

Grant: Close

BeePi: Honeybees Meet AI: Stage 2

Open Date: 2019-09-01

Close Date: 2021-09-01

Grant: Close

Mobile Instructional Particle Image Velocimetry (mI-PIV): Hands-on Flow Visualization and Experimentation for Improved Student Interest and Technical Capacity in Navy-relevant Engineering Careers

Open Date: 2018-01-01

Close Date: 2022-01-01

Grant: Close

Predictive Data Integration and Analysis of Heterogeneous Data Streams

Open Date: 2018-01-01

Close Date: 2018-05-01

Grant: Close

BeePi: A Multisensor, Electronic Beehive Monitor

Open Date: 2017-09-01

Close Date: 2019-09-01

Articles16

Discrete Time Series Forecasting in Non-Invasive Monitoring of Managed Honey Bee Colonies: Part II: Are Hive Weight and In-Hive Temperature Seasonal and Colony-Specific?

Article Link

Year:

2025

On Programmatic Aspects of the Universality, Parameter, and Recursion Theorems of Classical Computability

Article Link

Year:

2025

On Signifiable Computability: Part II: An Axiomatization of Signifiable Computation and Debugger Theorems

Article Link

Year:

2025

On Signifiable Computability: Part I: Signification of Real Numbers, Sequences, and Types

Article Link

Year:

2024

Discrete Time Series Forecasting of Hive Weight, In-Hive Temperature, and Hive Entrance Traffic in Non-Invasive Monitoring of Managed Honey Bee Colonies: Part I

Article Link

Year:

2024

Accuracy vs. Energy: An Assessment of Bee Object Inference in Videos from On-Hive Video Loggers with YOLOv3, YOLOv4-Tiny, and YOLOv7-Tiny

Article Link

Year:

2023

On Correspondences between Feedforward Artificial Neural Networks on Finite Memory Automata and Classes of Primitive Recursive Functions

Article Link

Year:

2023

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

Article Link

Year:

2023

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

Article Link

Year:

2023

On the Computability of Primitive Recursive Functions by Feedforward Artificial Neural Networks

Article Link

Year:

2023

Integration of Scales and Cameras in Nondisruptive Electronic Beehive Monitoring: On the Within-Day Relationship of Hive Weight and Traffic in Honeybee (Apis mellifera) Colonies in Langstroth Hives in Tucson, Arizona, USA

Article Link

Year:

2022

On Primitive Recursive Characteristics of Chess

Article Link

Year:

2022

DFT Study of Microsolvated [NO3·(H2O)n]− (n = 1–12) Clusters and Molecular Dynamics Simulation of Nitrate Solution

Article Link

Year:

2021

On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks

Article Link

Year:

2021

Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring

Article Link

Year:

2021

Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach

Article Link

Year:

2021

Collaborators2

Angela Minichiello

Associate Professor

Utah State University

UNITED STATES

Jack Elliott

Assistant Professor

Minnesota State University Mankato

UNITED STATES

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Vladimir Kulyukin

Associate Professor

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Research Interests

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Recent Grants

Articles16

Discrete Time Series Forecasting in Non-Invasive Monitoring of Managed Honey Bee Colonies: Part II: Are Hive Weight and In-Hive Temperature Seasonal and Colony-Specific?

On Programmatic Aspects of the Universality, Parameter, and Recursion Theorems of Classical Computability

On Signifiable Computability: Part II: An Axiomatization of Signifiable Computation and Debugger Theorems

On Signifiable Computability: Part I: Signification of Real Numbers, Sequences, and Types

Discrete Time Series Forecasting of Hive Weight, In-Hive Temperature, and Hive Entrance Traffic in Non-Invasive Monitoring of Managed Honey Bee Colonies: Part I

Accuracy vs. Energy: An Assessment of Bee Object Inference in Videos from On-Hive Video Loggers with YOLOv3, YOLOv4-Tiny, and YOLOv7-Tiny

On Correspondences between Feedforward Artificial Neural Networks on Finite Memory Automata and Classes of Primitive Recursive Functions

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (<i>Apis mellifera</i>) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

On the Computability of Primitive Recursive Functions by Feedforward Artificial Neural Networks

Integration of Scales and Cameras in Nondisruptive Electronic Beehive Monitoring: On the Within-Day Relationship of Hive Weight and Traffic in Honeybee (Apis mellifera) Colonies in Langstroth Hives in Tucson, Arizona, USA

On Primitive Recursive Characteristics of Chess

DFT Study of Microsolvated [NO<sub>3</sub>·(H<sub>2</sub>O)<i><sub>n</sub></i>]<sup>−</sup> (<i>n</i> = 1–12) Clusters and Molecular Dynamics Simulation of Nitrate Solution

On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks

Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring

Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in fluid mechanics: A design‐based research approach

Collaborators2

Angela Minichiello

Jack Elliott

How do I reach out?