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Activities

Employment (3)

Auburn University: Auburn, AL, US

2016-08 to present | Associate Proessor (Chemical Engineering)
Employment
Source: Self-asserted source
Qinghua He

Tuskegee University: Tuskegee, AL, US

2011-10 to 2016-08 | Associate Professor (Chemical Engineering)
Employment
Source: Self-asserted source
Qinghua He

Tuskegee University: Tuskegee, AL, US

2006-08 to 2011-09 | Assistant Professor (Chemical Engineering)
Employment
Source: Self-asserted source
Qinghua He

Education and qualifications (2)

University of Texas at Austin: Austin, TX, US

2000-08 to 2005-05 | Ph.D. (Chemical Engineering)
Education
Source: Self-asserted source
Qinghua He

Tsinghua University: Beijing, Beijing, CN

1991-09 to 1996-07 | BE (Chemical Engineering)
Education
Source: Self-asserted source
Qinghua He

Works (50 of 127)

Items per page:
Page 1 of 3

Probing interspecies metabolic interactions within a synthetic binary microbiome using genome-scale modeling

Microbiome Research Reports
2024-05-27 | Journal article
Contributors: Kiumars Badr; Q. Peter He; Jin Wang
Source: check_circle
Crossref

A novel semi-structured kinetic model of methanotroph-photoautotroph cocultures for biogas conversion

Chemical Engineering Journal
2022 | Journal article
Contributors: Badr, Kiumars; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Feature engineering and machine learning for computer-assisted screening of children with speech disorders

PLOS Digital Health
2022 | Journal article
Contributors: Suthar, Kerul; Yousefi Zowj, Farnaz; Speights Atkins, Marisha; He, Q Peter
Source: Self-asserted source
Qinghua He
grade
Preferred source (of 2)‎

Feature-based statistical process monitoring for pressure swing adsorption processes

Frontiers in Chemical Engineering
2022 | Journal article
Part of ISSN: 2673-2718
Contributors: Lee, Jangwon; Kumar, Ankur; Flores-Cerrillo, Jesus; Wang, Jin; He, Q. Peter
Source: Self-asserted source
Qinghua He

Identifying interspecies interactions within a model methanotroph-photoautotroph coculture using semi-structured and structured modeling

IFAC-PapersOnLine
2022 | Journal article
Contributors: Badr, Kiumars; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Improving Linear Separability of Pulse Wave Laser Additive Manufacturing Classifiers with Rational Feature Engineering and Selection

2022 American Control Conference (ACC)
2022 | Conference paper
Contributors: Summers, Alex; er J; Yin, Houshang; Fischer, Ralf D; Prorok, Barton C; Lou, Xiaoyuan; He, Q Peter
Source: Self-asserted source
Qinghua He

Knowledge-matching based computational framework for genome-scale metabolic model refinement

Computer Aided Chemical Engineering
2022 | Journal article
Contributors: Badr, Kiumars; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Matlab implementation of a novel semi-structured kinetic model for methanotroph-photoautotroph cocultures

MethodsX
2022 | Journal article
Contributors: Badr, Kiumars; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Moisture Estimation in Woodchips Using IIoT Wi-Fi and Machine Learning Techniques

Computer Aided Chemical Engineering
2022 | Journal article
Contributors: Suthar, Kerul; He, Q Peter
Source: Self-asserted source
Qinghua He

Process Systems Engineering Guided Machine Learning for Speech Disorder Screening in Children

Computer Aided Chemical Engineering
2022 | Journal article
Contributors: Zowj, Farnaz Yousefi; Suthar, Kerul; Atkins, Marisha Speights; He, Q Peter
Source: Self-asserted source
Qinghua He

Remaining Useful Life Estimation for Ball Bearings Using Feature Engineering and Extreme Learning Machine

IFAC-PapersOnLine
2022 | Journal article
Contributors: Lee, Jangwon; Sun, Zhuoxiong; Tan, Tai B; Mendez, Jorge; Flores-Cerrillo, Jesus; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Understanding the evolution of interspecies metabolic interactions using dynamic genome-scale metabolic modeling

2022 American Control Conference (ACC)
2022 | Conference paper
Contributors: Badr, Kiumars; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Fast and easy quantitative characterization of methanotroph-photoautotroph cocultures

Biotechnology and Bioengineering
2021 | Journal article
Contributors: Badr, Kiumars; Whelan, William; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Multiclass moisture classification in woodchips using IIoT Wi-Fi and machine learning techniques

Computers & Chemical Engineering
2021 | Journal article
Contributors: Suthar, Kerul; He, Q Peter
Source: Self-asserted source
Qinghua He

Real Data and Application-based Interactive Modules for Data Science Education in Engineering

2021 ASEE Virtual Annual Conference
2021 | Conference paper
Contributors: Suthar, Kerul; Mitchell, Thomas; Hartwig, Anna Claire; Wang, Jin; Mao, Shiwen; Parson, Laura; Zeng, Peng; Liu, Bo; He, Peter
Source: Self-asserted source
Qinghua He

Special Issue on “Big Data in Biology, Life Sciences and Healthcare”

Processes
2021 | Other
Contributors: He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Real Data and Application-based Interactive Modules for Data Science Education in Engineering

2021-07 | Conference paper
Contributors: Kerul Suthar; Thomas Mitchell; Anna Hartwig; Jin Wang; Shiwen Mao; Laura Parson; Peng Zeng; Bo Liu; Peter He
Source: check_circle
Crossref

Fast and easy quantitative characterization of methanotroph–photoautotroph cocultures

Biotechnology and Bioengineering
2021-02 | Journal article
Contributors: Kiumars Badr; William Whelan; Q. Peter He; Jin Wang
Source: check_circle
Crossref

A microalgae-methanotroph coculture is a promising platform for fuels and chemical production from wastewater

Frontiers in Energy Research
2020 | Journal article
Contributors: Roberts, Nathan; Hilliard, Matthew; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

A novel biological platform for integrated biogas upgrading and nutrient recovery to valorize anaerobic digester

SBFC2020 Symposium on Biomaterials, Fuels and Chemicals
2020 | Conference paper
Contributors: Roberts, Nathan; Hilliard, Matthew; Badr, Kiumars; Whelan, William; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

A Variable Selection Method for Improving Variable Selection Consistency and Soft Sensor Performance

2020 American Control Conference (ACC)
2020 | Conference paper
Contributors: Lee, Jangwon; Flores-Cerrillo, Jesus; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Application of systems engineering principles and techniques in biological big data analytics: A review

Processes
2020 | Journal article
Contributors: He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Comparative study of oxygen-limited and methane-limited growth phenotypes of Methylomicrobium buryatense 5GB1

Biochemical Engineering Journal
2020 | Journal article
Contributors: Stone, Kyle; Hilliard, Matthew; Badr, Kiumars; Bradford, Alisabeth; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Consistency-enhanced evolution for variable selection can identify key chemical information from spectroscopic data

Industrial & Engineering Chemistry Research
2020 | Journal article
Contributors: Lee, Jangwon; Flores-Cerrillo, Jesus; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He
grade
Preferred source (of 2)‎

Feature Based Fault Detection for Pressure Swing Adsorption Processes

IFAC-PapersOnLine
2020 | Journal article
Contributors: Lee, Jangwon; Kumar, Ankur; Flores-Cerrillo, Jesus; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Feature engineering in big data analytics for IoT-enabled smart manufacturing--comparison between deep learning and statistical learning

Computers & Chemical Engineering
2020 | Journal article
Contributors: Shah, Devarshi; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Improving Featured-based Soft Sensing through Feature Selection

IFAC-PapersOnLine
2020 | Journal article
Contributors: Lee, Jangwon; Wang, Jin; Flores-Cerrillo, Jesus; He, Q Peter
Source: Self-asserted source
Qinghua He

Internet-of-Things Enabled Manufacturing: Challenges to Machine Learning and Deep Learning

Proceedings of IFAC 2020 World Congress
2020 | Conference paper
Contributors: He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Quantitative Characterization of Methanotroph-Photoautotroph Cocultures

SBFC2020 Symposium on Biomaterials, Fuels and Chemicals
2020 | Conference paper
Contributors: Badr, Kiumars; Whelan, William; Roberts, Nathan; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Using Channel State Information for Estimating Moisture Content in Woodchips via 5 GHz Wi-Fi

2020 American Control Conference (ACC)
2020 | Conference paper
Contributors: Suthar, Kerul; Wang, Jin; Jiang, Zhihua; He, Q Peter
Source: Self-asserted source
Qinghua He

A feature-based soft sensor for spectroscopic data analysis

Journal of Process Control
2019 | Journal article
Contributors: Shah, Devarshi; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

A novel process monitoring approach based on variational recurrent autoencoder

Computers & Chemical Engineering
2019 | Journal article
Contributors: Cheng, Feifan; He, Q Peter; Zhao, Jinsong
Source: Self-asserted source
Qinghua He

An internet-of-things enabled smart manufacturing testbed

IFAC-PapersOnLine
2019 | Journal article
Contributors: Shah, Devarshi; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Dynamic Transcriptomic Data Reveal Unexpected Regulatory Behavior of Scheffersomyces stipitis

IFAC-PapersOnLine
2019 | Journal article
Contributors: Hilliard, Matthew; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Feature space monitoring for smart manufacturing via statistics pattern analysis

Computers & Chemical Engineering
2019 | Journal article
Contributors: He, Q Peter; Wang, Jin; Shah, Devarshi
Source: Self-asserted source
Qinghua He
grade
Preferred source (of 2)‎

Interplay of Shadow Price, Phenotype and Alternative Optimal Solutions in Flux Balance Analysis

IFAC-PapersOnLine
2019 | Journal article
Contributors: Hilliard, Matthew; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Next-generation virtual metrology for semiconductor manufacturing: A feature-based framework

Computers & Chemical Engineering
2019 | Journal article
Contributors: Suthar, Kerul; Shah, Devarshi; Wang, Jin; He, Q Peter
Source: Self-asserted source
Qinghua He

Photoautotroph-methanotroph coculture--a flexible platform for efficient biological CO2-CH4 CO-utilization

IFAC-PapersOnLine
2019 | Journal article
Contributors: Badr, Kiumars; Hilliard, Matthew; Roberts, Nathan; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Quadruple negative breast cancers (QNBC) demonstrate subtype consistency among primary and recurrent or metastatic breast cancer

Translational Oncology
2019 | Journal article
Contributors: Angajala, Anusha; Mothershed, Essynce; Davis, Melissa B; Tripathi, Shweta; He, Qinghua; Bedi, Deepa; Dean-Colomb, Windy; Yates, Clayton
Source: Self-asserted source
Qinghua He

Two experimental protocols for accurate measurement of gas component uptake and production rates in bioconversion processes

Scientific Reports
2019 | Journal article
Contributors: Stone, Kyle A; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Understanding the effect of specialization on hospital performance through knowledge-guided machine learning

Computers & Chemical Engineering
2019 | Journal article
Contributors: Lee, Jangwon; He, Q Peter
Source: Self-asserted source
Qinghua He
grade
Preferred source (of 2)‎

A spectroscopic chemometric modeling approach based on statistics pattern analysis

IFAC-PapersOnLine
2018 | Journal article
Contributors: Shah, Devarshi; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

A system identification enhanced phenotype phase plane analysis

Computer Aided Chemical Engineering
2018 | Journal article
Contributors: Hilliard, Matthew; Damiani, Andrew; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

An Experimental and Computational Study of the Intracellular Pathways in Methylomicrobium buryatense, a Promising Methanotroph

40th Symposium on Biotechnology for Fuels and Chemicals
2018 | Conference paper
Contributors: Stone, Kyle; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

AR negative triple negative or “quadruple negative” breast cancers in African American women have an enriched basal and immune signature

PloS one
2018 | Journal article
Contributors: Davis, Melissa; Tripathi, Shweta; Hughley, Raymond; He, Qinghua; Bae, Sejong; Karanam, Balasubramanyam; Martini, Rachel; Newman, Lisa; Colomb, Windy; Grizzle, William et al.
Source: Self-asserted source
Qinghua He

Dynamic Transcriptomic Data Analysis by Integrating Data-driven and Model-guided Approaches

IFAC-PapersOnLine
2018 | Journal article
Contributors: Hilliard, Matthew; He, Q Peter; Wang, Jin
Source: Self-asserted source
Qinghua He

Effects of fixation and antigen retrieval on the RNA integrity number

Cancer Research
2018 | Journal article
Contributors: Otali, Dennis; Mullen, Maitlyn; Qinghua, He; Oelschlager, Denise; Grizzle, William E
Source: Self-asserted source
Qinghua He

Efficient and robust biological CH 4/CO 2 co-utilization through Coculture of methanotrophs and microalgae

40th Symposium on Biotechnology for Fuels and Chemicals
2018 | Conference paper
Contributors: Roberts, Nathan; Wang, Jin
Source: Self-asserted source
Qinghua He

Elucidating redox balance shift in Scheffersomyces stipitis’ fermentative metabolism using a modified genome-scale metabolic model

Microbial cell factories
2018 | Journal article
Contributors: Hilliard, Matthew; Damiani, Andrew; He, Q Peter; Jeffries, Thomas; Wang, Jin
Source: Self-asserted source
Qinghua He

Evaluating Hospital Performance Using Process Systems Engineering Tools

Computer Aided Chemical Engineering
2018 | Journal article
Contributors: Lee, Jangwon; He, Q Peter
Source: Self-asserted source
Qinghua He
Items per page:
Page 1 of 3

Peer review (8 reviews for 2 publications/grants)

Review activity for Computers & chemical engineering. (7)
Review activity for Industrial & engineering chemistry research. (1)