Juergen Hahn

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Rensselaer Polytechnic Institute

United States

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About

Juergen Hahn is a Professor at Rensselaer Polytechnic Institute in the United States. His research focuses on autism spectrum disorder, machine learning, and medical imaging, as evidenced by his recent publications on predicting challenging behaviors in individuals with autism and analyzing high-dimensional data for classification. He also explores the integration of AI in educational settings and the health implications of metabolic profiles in children with autism. His work contributes significantly to the understanding of complex health challenges and the application of advanced computational methods.

Recent Grants

Grant: Close

Meeting: 7th Foundations of Systems Biology in Engineering Conference

Open Date: 2018-06-01

Close Date: 2019-05-31

Grant: Close

REU Site: Bioengineering and Biomanufacturing

Open Date: 2016-06-15

Close Date: 2019-05-31

Grant: Close

Conference: 41st Northeast Bioengineering Conference, Troy, NY, April 17-19, 2015

Open Date: 2015-02-15

Close Date: 2016-01-31

Grant: Close

Modeling and Analysis of the Role of Microbiota Metabolites in T-Cell Differentiation

Open Date: 2015-02-01

Close Date: 2020-01-31

Grant: Close

REU Site: Materials and Systems Biology Research in Biotechnology and Biomedicine

Open Date: 2012-04-30

Close Date: 2014-02-28

Articles (16)

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UNITED STATES

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Rosa Krajmalnik-Brown

Arizona State University

UNITED STATES

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Dae-Wook Kang

Assistant Professor

University of Toledo

UNITED STATES

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Juergen Hahn

Research Interests

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About

Recent Grants

Articles (16)

Approaches for Predicting the Occurrence of Challenging Behaviors in Individuals with Autism Spectrum Disorder: A Narrative Review

Multiple hypothesis testing for pre-screening of factor selection for classification of high-dimensional data

Identifying Progression-Specific Alzheimer’s Subtypes Using Multimodal Transformer

Towards the Generation of Medical Imaging Classifiers Robust to Common Perturbations

Integrating AI in college education: Positive yet mixed experiences with ChatGPT

Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data

Shotgun Metagenomics Study Suggests Alteration in Sulfur Metabolism and Oxidative Stress in Children with Autism and Improvement after Microbiota Transfer Therapy

Multivariate Analysis of Metabolomic and Nutritional Profiles among Children with Autism Spectrum Disorder

Maternal risk factors vary between subpopulations of children with autism spectrum disorder

Framework for Testing Robustness of Machine Learning-Based Classifiers

Regularized error-in-variable estimation for big data modeling and process analytics

Pregnant Mothers’ Medical Claims and Associated Risk of Their Children being Diagnosed with Autism Spectrum Disorder

Dividing-Wall Column Design: Analysis of Methodologies Tailored to Process Simulators

KIF3A accelerates KIF3C within the kinesin-2 heterodimer to generate symmetrical phosphate release rates for each processive step

Distinct Fecal and Plasma Metabolites in Children with Autism Spectrum Disorders and Their Modulation after Microbiota Transfer Therapy

Multivariate Analysis of Fecal Metabolites from Children with Autism Spectrum Disorder and Gastrointestinal Symptoms before and after Microbiota Transfer Therapy

Collaborators (7)

Li Shen

Ge Wang

Diego Machado Reyes

James Adams

Theresa Hamlin

Rosa Krajmalnik-Brown

Dae-Wook Kang

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