Mitchell Neilsen

Mitchell Neilsen

Kansas State University

H-index: 20

North America-United States

About Mitchell Neilsen

Mitchell Neilsen, With an exceptional h-index of 20 and a recent h-index of 11 (since 2020), a distinguished researcher at Kansas State University, specializes in the field of cyber physical systems, scientific computing, image processing, distributed computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analysis of Uncertainty in Internal Erosion Simulations for DLBreach and WinDAM C

Multi-threaded space carving for 3-D seed reconstruction

Enhancing grain facility management with AI-based insect detection and identification system

Application of machine learning for insect monitoring in grain facilities

Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks

High performance computing queue time prediction using clustering and regression

Grain micronutrient composition and yield components in field‐grown wheat are negatively impacted by high night‐time temperature

Intercross: An Android app for plant breeding and genetics cross management

Mitchell Neilsen Information

University

Position

Professor of Computer Science

Citations(all)

2256

Citations(since 2020)

464

Cited By

1999

hIndex(all)

20

hIndex(since 2020)

11

i10Index(all)

38

i10Index(since 2020)

14

Email

University Profile Page

Kansas State University

Google Scholar

View Google Scholar Profile

Mitchell Neilsen Skills & Research Interests

cyber physical systems

scientific computing

image processing

distributed computing

Top articles of Mitchell Neilsen

Title

Journal

Author(s)

Publication Date

Analysis of Uncertainty in Internal Erosion Simulations for DLBreach and WinDAM C

GeoHazards

Anthony Atkinson

Mitchell Neilsen

2024/4/16

Multi-threaded space carving for 3-D seed reconstruction

Mitchell L. Neilsen

Kai Zhao

2023/7/23

Enhancing grain facility management with AI-based insect detection and identification system

Querriel Arvy Mendoza

Lester Pordesimo

Mitchell Neilsen

2023/6/13

Application of machine learning for insect monitoring in grain facilities

AI

Querriel Arvy Mendoza

Lester Pordesimo

Mitchell Neilsen

Paul Armstrong

James Campbell

...

2023/3/22

Seed Kernel Counting using Domain Randomization and Object Tracking Neural Networks

arXiv preprint arXiv:2308.05846

Venkat Margapuri

Prapti Thapaliya

Mitchell Neilsen

2023/8/10

High performance computing queue time prediction using clustering and regression

Scott Hutchison

Daniel Andresen

Mitchell Neilsen

William Hsu

Benjamin Parsons

2022/9/11

Grain micronutrient composition and yield components in field‐grown wheat are negatively impacted by high night‐time temperature

Cereal Chemistry

Nathan T Hein

Somayanda M Impa

Dan Wagner

Raju Bheemanahalli

Ritesh Kumar

...

2022/5

Intercross: An Android app for plant breeding and genetics cross management

Crop Science

Trevor W Rife

Chaney Courtney

Guillaume Bauchet

Mitchell Neilsen

Jesse A Poland

2022/3

Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering

Venkat Margapuri

Trevor Rife

Chaney Courtney

Brandon Schlautman

Kai Zhao

...

2022/12/5

Automated Phenotyping of Single Seeds using a Novel Volume Sculpting Framework

Kai Zhao

Venkat Markapuri

Mitchell Neilsen

2022

Verification of Feature Detection Through Thermal Imaging: An Extension of PiBase

Anthony Atkinson

Venkat Margapuri

Mitchell Neilsen

2022/11/24

WinDAM C: Analysis tool for predicting breach erosion processes of embankment dams due to overtopping or internal erosion

Sherry L Hunt

Darrel M Temple

Mitchell L Neilsen

Abdelfatah Ali

Ronald D Tejral

2021

Image processing for high-throughput phenotyping of seeds

EPiC Series in Computing

Venkat Margapuri

Chaney Courtney

Mitchell Neilsen

2021/6/9

Seed classification using synthetic image datasets generated from low-altitude UAV imagery

Venkat Margapuri

Niketa Penumajji

Mitchell Neilsen

2021/12/13

Seed phenotyping on neural networks using domain randomization and transfer learning

Venkat Margapuri

Mitchell Neilsen

2021/7

Prospector: a mobile app for high-throughput NIRS phenotyping

arXiv preprint arXiv:2104.07071

Trevor W Rife

Chaney Courtney

Jenna Hershberger

Brandon Shaver

Michael A Gore

...

2021/4/14

Classification of seeds using domain randomization on self-supervised learning frameworks

Venkat Margapuri

Mitchell Neilsen

2021/12/5

Dam breach simulation with the material point method

Computation

Chendi Cao

Mitchell Neilsen

2021/1/20

Pibase: An iot-based security system using google firebase and raspberry pi

Venkat Margapuri

Niketa Penumajji

Mitchell Neilsen

2021/11/23

Sensitivity Analysis of the Auxiliary Spillway Erosion Based on the Material and Structural Properties

Sanjeeta N Ghimire

Joseph W Schulenberg

Mitchell L Neilsen

2021

See List of Professors in Mitchell Neilsen University(Kansas State University)

Co-Authors

H-index: 43
John Hatcliff

John Hatcliff

Kansas State University

H-index: 39
Xinming (Simon) Ou

Xinming (Simon) Ou

University of South Florida

H-index: 35
Ning Wang

Ning Wang

Oklahoma State University

H-index: 25
Daniel Andresen

Daniel Andresen

Kansas State University

H-index: 11
Trevor Rife

Trevor Rife

Kansas State University

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