Faculty

Institution

Unit

Venue

Qingxue Jack Zhang

Adjunct Assistant Professor Biomedical Engineering and Informatics Assistant Professor Computer Science

Indiana University – Purdue University Indianapolis

Affiliations

Luddy School of Informatics, Computing, and Engineering

Qingxue Jack Zhang is currently serving as a Luddy School Of Informatics, Computing, And Engineering Adjunct Assistant Professor Biomedical Engineering and Informatics Assistant Professor Computer Science at Indiana University – Purdue University Indianapolis.

Honors

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Experiences

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Education

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Qingxue Jack Zhang

Indiana University – Purdue University Indianapolis

Adjunct Assistant Professor Biomedical Engineering and Informatics Assistant Professor Computer Science

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deep learning machine learning health sciences computer science big data health monitoring wearable technology biomedical engineering data science health technology electrophysiology biomedical informatics biometrics smart health biomedical technologies health informatics physiological measurements intelligent computing information technology human identification cardiology mobile computing sensor health medical electronics mobile sensing respiratory medicine information fusion knowledge discovery convolutional neural networks monitoring technology biomedical computing medical technology edge intelligence mobile health fall prevention brain visual dynamics health systems diabetes technology data security biomedical imaging cardiovascular imaging health information science machine learning research blood pressure human physiology cardiovascular physiology biomedical research timefrequency analysis motion analysis tracking systems sensor technology eeg signal processing population aging neuroinformatics neural science visual processing ai healthcare amyotrophic lateral sclerosis principal component analysis activity recognition iot security smart health applications heart rate machine learning-empowered system novel framework motion-artifact-corrupted electrocardiogram signals design implementation ecg dataset real-world signal characteristics eye electrooculography biomedicine applications fall risk detection real-time activity biometric human identification electrocardiography dynamics als patients artificial intelligence advanced intelligent system applied artificial intelligence technology computational intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Eeg Prediction With Deep Recurrent Learning. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2024)

Jiadao ZouQingxue Zhang

deep learningdeep recurrent learningneuroscienceeeg predictioncognitive neurosciencecomputational neuroscienceelectrical engineering

S2CLOUD: A Novel Cloud-Based Precision Health System for Smart and Secure Iot Big Data Harnessing. Discover Internet of Things (2024)

Jake StaufferQingxue Zhang

big datadata securitysystems engineeringcloud computingiot securityinternet of things

Spatial Variability Learning of Biomechanical Dynamics in Daily Lives. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024)

Ming LiuQingxue Zhang

biomechanical dynamicsspatial variability learningdaily livesneurosciencebiomechanics

Abstract P402: Lifestyle Management Empowered by Deep Transfer Learning of Biomechanical Dynamics. Circulation (2023)

Kiirthanaa GangadharanQingxue Zhang

biomechanical dynamicsmanagementdeep transfer learninglifestyle managementbiomechanics

Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2023)

Junhua WongQingxue Zhang

wearable electronicsdeep learningtechnologymachine learningedge computingdata miningelectrical engineeringwearable technology

Deep Learning of Sparse Patterns in Medical Iot for Efficient Big Data Harnessing. IEEE Access (2023)

Junhua WongQingxue Zhang

deep learningbig datamedicinemedical iotinformation technologysparse patternsinternet of things

Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement. IEEE Transactions on Instrumentation and Measurement (2023)

Kiirthanaa GangadharanQingxue Zhang

analytical instrumentationdeep learningcomputer scienceinstrumentation engineeringdata-efficient learninginstrumentationmachine learningspatial variability characterizationsystems engineeringdeep transferable intelligencebiomechanical measurementelectrical engineeringbiomechanics

Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient. IEEE Internet of Things Journal (2023)

Haowei ShiJiadao ZouQingxue Zhang

systems engineeringreinforcement learninginternet of thingsmachine learning

Knowledge Transferring in Deep Learning of Wearable Dynamics. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2023)

Caroline ChavezKiirthanaa GangadharanQingxue Zhang

deep learningcomputer sciencetechnologyknowledge transferwearable dynamicselectrical engineering

Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction. Sensors (2023)

Qingxue ZhangDian Zhou

technologypattern recognitionmachine learningsensorselectrophysiology

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Qingxue Jack Zhang

Adjunct Assistant Professor Biomedical Engineering and Informatics Assistant Professor Computer Science

Indiana University – Purdue University Indianapolis

Affiliations

Luddy School of Informatics, Computing, and Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Qingxue Jack Zhang

Indiana University – Purdue University Indianapolis

Adjunct Assistant Professor Biomedical Engineering and Informatics Assistant Professor Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Eeg Prediction With Deep Recurrent Learning. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2024)

Jiadao ZouQingxue Zhang

deep learningdeep recurrent learningneuroscienceeeg predictioncognitive neurosciencecomputational neuroscienceelectrical engineering

S2CLOUD: A Novel Cloud-Based Precision Health System for Smart and Secure Iot Big Data Harnessing. Discover Internet of Things (2024)

Jake StaufferQingxue Zhang

big datadata securitysystems engineeringcloud computingiot securityinternet of things

Spatial Variability Learning of Biomechanical Dynamics in Daily Lives. 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024)

Ming LiuQingxue Zhang

biomechanical dynamicsspatial variability learningdaily livesneurosciencebiomechanics

Abstract P402: Lifestyle Management Empowered by Deep Transfer Learning of Biomechanical Dynamics. Circulation (2023)

Kiirthanaa GangadharanQingxue Zhang

biomechanical dynamicsmanagementdeep transfer learninglifestyle managementbiomechanics

Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2023)

Junhua WongQingxue Zhang

wearable electronicsdeep learningtechnologymachine learningedge computingdata miningelectrical engineeringwearable technology

Deep Learning of Sparse Patterns in Medical Iot for Efficient Big Data Harnessing. IEEE Access (2023)

Junhua WongQingxue Zhang

deep learningbig datamedicinemedical iotinformation technologysparse patternsinternet of things

Deep Transferable Intelligence for Spatial Variability Characterization and Data-Efficient Learning in Biomechanical Measurement. IEEE Transactions on Instrumentation and Measurement (2023)

Kiirthanaa GangadharanQingxue Zhang

Efficient Massive-Device Orchestration Through Reinforcement Learning With Boosted Deep Deterministic Policy Gradient. IEEE Internet of Things Journal (2023)

Haowei ShiJiadao ZouQingxue Zhang

systems engineeringreinforcement learninginternet of thingsmachine learning

Knowledge Transferring in Deep Learning of Wearable Dynamics. 2023 IEEE International Conference on Consumer Electronics (ICCE) (2023)

Caroline ChavezKiirthanaa GangadharanQingxue Zhang

deep learningcomputer sciencetechnologyknowledge transferwearable dynamicselectrical engineering

Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction. Sensors (2023)

Qingxue ZhangDian Zhou

technologypattern recognitionmachine learningsensorselectrophysiology

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trustworthy ai

internet of things

Hae Young Noh

Institution

Stanford University

systems engineering

engineering

Shyam Gollakota

Institution

University of Washington

signal processing

applied artificial intelligence

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data classification

Christian Poellabauer

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intelligent network

internet of things

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information technology

wearable computer

Jiaqi Gong

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applied artificial intelligence

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wireless sensor network

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