Faculty

Institution

Unit

Venue

Simone Ludwig

Professor and Chair of the Department of Computer Science

North Dakota State University

Affiliations

College of Engineering

Computer Science

Simone Ludwig is currently serving as a College Of Engineering Professor and Chair of the Department of Computer Science at North Dakota State University.

Honors

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Experiences

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Education

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Simone Ludwig

North Dakota State University

Professor and Chair of the Department of Computer Science

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computer science machine learning artificial intelligence data science systems engineering computational intelligence evolutionary computation swarm intelligence genetic algorithms data classification clustering parallel computing genetic programming fuzzy logic classification method particle swarm optimization computer security scientific computing machine intelligence information security bioinformatics soft computing computational optimization map-reduce biostatistics fuzzy systems machine learning research information technology provenance data control optimization intelligent computing combinatorial optimization disease classification sensor optimization distributed artificial intelligence automatic control data security grid computing microarray data analysis fuzzy clustering workflow modelling workflow technology intrusion detection systems semantic computing fuzzy computing image segmentation sensor technology classifier systems medical image analysis ant colony optimization overlay networks mathematical web services epileptic seizure recognition deep neural networks cancer genomics fuzzy modeling spacecraft attitude control sensor design memetic algorithms differential evolution distributed intelligence prognostic evaluation agent-based system data provenance workflow management system mapreduce methodology glowworm swarm optimization gene expression data cancer data clonal selection reference systems web service selection rule classification grid search hyperparameter optimization bayesian optimization neural networks ai architecture data mining memetic computing intelligent optimization multidisciplinary ai intelligent systems evolutionary intelligence advanced intelligent system

Notable Scholarly Works

Notable Federal Grants

Collaborators

Parallelization of the Bison Algorithm Applied to Data Classification. Algorithms (2024)

Simone A. LudwigJamil Al-SawwaAaron Mackenzie Misquith

computer scienceparallel computingparallel programmingparallel processingapplied mathematics

Using Teaching Learning-Based Optimization With Convolutional Neural Network to Detect Pneumonia Based on Chest X-Ray Images. (2024)

Rafa A. AleneziSimone A. Ludwig

convolutional neural networkschest x-ray imagesinfectious diseasesdisease detectiondeep learninglearning-based optimizationmedical imagingdiagnosisrespiratory medicinemedical educationbiomedical imagingmedical image analysisemergency medicinehealth sciencesmachine learning

Delineation of Integrated Anomaly With Generative Adversarial Networks and Deep Neural Networks in the Zhaojikou Pb‐Zn Ore District, Southeast China. Acta Geologica Sinica - English Edition (2023)

Jilin DUANYanpeng LIULixin ZHUShengming MAQiuli GONGAlla DOLGOPOLOVASimone A. LUDWIG

anomaly detectionsoutheast chinaintegrated anomalymining industrymineral engineeringplanetary sciencesore geologyabandoned minegeochronologyregional geologydata miningengineering geologyeconomic geologyore explorationearth sciencemineral processinggeologydeep neural networksgeomorphologymaterials science

Forecasting Air Quality: A Comparative Study of Time Series Approaches. Authorea (Authorea) (2023)

Satya Dev PasupuletiSimone Ludwig

air qualityforecastingcomparative studycanadian studiestime series

Image Forgery Detection Algorithm Using Particle Swarm Optimization. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023)

Hussain AlibrahimSimone A. Ludwig

image forgery detectioncomputer scienceparticle swarm optimizationcomputer vision

Optimization for Pipeline Corrosion Sensor Placement in Oil-Water Two-Phase Flow Using Cfd Simulations and Genetic Algorithm. Sensors (2023)

Shuomang ShiBaiyu JiangSimone LudwigLuyang XuHao WangYing HuangFei Yan

genetic algorithmsoil-water two-phase flowengineeringapplied physicscfd simulationssensor placementtransportation engineeringengineering optimizationsensor optimizationcorrosionsensor technologymaterials sciencesensor design

A Performance Analysis of Dimensionality Reduction Algorithms in Machine Learning Models for Cancer Prediction. Healthcare Analytics (2022)

Md Faisal KabirTianjie ChenSimone A. Ludwig

health informaticsmicroarray data analysisdimensionality reduction algorithmsdimensionality reductioncancer predictionmedicinedata sciencehealth care analyticshealth sciencesbioinformaticsmachine learning

Association Rule Mining Based on Ethnic Groups and Classification Using Super Learning 1. (2022)

Md Faisal KabirSimone A. Ludwig

ethnic groupsdata classificationmachine learningdata sciencestatistics

Detecting Pneumonia Based on Chest X-Ray Images Using Reinforcement Learning. (2022)

Rafa A. AleneziSimone A. Ludwig

public healthchest x-ray imagesdisease detectiondeep learningmedical imagingrespiratory medicinemedical image analysisradiologymedicinereinforcement learningimage analysisbiomedical imaging

Explainability Using Shap for Epileptic Seizure Recognition. 2021 IEEE International Conference on Big Data (Big Data) (2022)

Simone A. Ludwig

medical image computingcomputer sciencebig datahealth informaticsknowledge discoveryshift detectiondeep learningtemporal pattern recognitionepileptic seizure recognitionscientific computingneuroscienceepilepsymachine learning researchdata sciencesignal recognitionmachine learningsequential learning

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Simone Ludwig

Professor and Chair of the Department of Computer Science

North Dakota State University

Affiliations

College of Engineering

Computer Science

Simone Ludwig is currently serving as a College Of Engineering Professor and Chair of the Department of Computer Science at North Dakota State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Simone Ludwig

North Dakota State University

Professor and Chair of the Department of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Parallelization of the Bison Algorithm Applied to Data Classification. Algorithms (2024)

Simone A. LudwigJamil Al-SawwaAaron Mackenzie Misquith

computer scienceparallel computingparallel programmingparallel processingapplied mathematics

Using Teaching Learning-Based Optimization With Convolutional Neural Network to Detect Pneumonia Based on Chest X-Ray Images. (2024)

Rafa A. AleneziSimone A. Ludwig

Jilin DUANYanpeng LIULixin ZHUShengming MAQiuli GONGAlla DOLGOPOLOVASimone A. LUDWIG

Forecasting Air Quality: A Comparative Study of Time Series Approaches. Authorea (Authorea) (2023)

Satya Dev PasupuletiSimone Ludwig

air qualityforecastingcomparative studycanadian studiestime series

Image Forgery Detection Algorithm Using Particle Swarm Optimization. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023)

Hussain AlibrahimSimone A. Ludwig

image forgery detectioncomputer scienceparticle swarm optimizationcomputer vision

Optimization for Pipeline Corrosion Sensor Placement in Oil-Water Two-Phase Flow Using Cfd Simulations and Genetic Algorithm. Sensors (2023)

Shuomang ShiBaiyu JiangSimone LudwigLuyang XuHao WangYing HuangFei Yan

A Performance Analysis of Dimensionality Reduction Algorithms in Machine Learning Models for Cancer Prediction. Healthcare Analytics (2022)

Md Faisal KabirTianjie ChenSimone A. Ludwig

Association Rule Mining Based on Ethnic Groups and Classification Using Super Learning 1. (2022)

Md Faisal KabirSimone A. Ludwig

ethnic groupsdata classificationmachine learningdata sciencestatistics

Detecting Pneumonia Based on Chest X-Ray Images Using Reinforcement Learning. (2022)

Rafa A. AleneziSimone A. Ludwig

public healthchest x-ray imagesdisease detectiondeep learningmedical imagingrespiratory medicinemedical image analysisradiologymedicinereinforcement learningimage analysisbiomedical imaging

Explainability Using Shap for Epileptic Seizure Recognition. 2021 IEEE International Conference on Big Data (Big Data) (2022)

Simone A. Ludwig

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design

interaction paradigm

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University of Texas at Arlington

computing environment

memetic computing

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machine learning

Sanjay Ranka, Ph.D

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mimo systems

adaptive modulation