Faculty

Institution

Unit

Venue

Bashir I. Morshed

Assistant Professor

University of Memphis

Affiliations

Herff College of Engineering

Electrical and Computer Engineering

Bashir I. Morshed is currently serving as an Electrical And Computer Engineering Assistant Professor at University of Memphis.

Honors

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Experiences

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Education

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Bashir I. Morshed

University of Memphis

Assistant Professor

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electrical engineering health sciences neuroscience biomedical engineering electrophysiology wearable technology eeg signal processing optoelectronics instrumentation sensors sensor technology printed electronics health technology health informatics smart health signal processing additive manufacturing wearable electronics electronics medical electronics neuroimaging electronic materials respiratory medicine sensor design health monitoring biomedical informatics organic electronics biomedical technologies power electronics mobile computing medical technology pharmaceutical nanotechnology sleep medicine classification method single channel eeg mild cognitive impairment pharmaceutics microwave technology physiological measurements pharmaceutical biotechnology nanobiotechnology low-power electronics passive control cognitive electrophysiology advanced electrode material optical engineering obstructive sleep apnea magnetic nanoparticles chitosan microbeads health information science chronic obstructive pulmonary disease electronic packaging thermal engineering nanoparticle research independent component analysis wavelet theory brain stimulation experimental biophysics therapeutic nanomaterials drug delivery systems intermittently connected device sensor applications stimulation device polymer technology mobile health single-channel eeg data electrical lysis drl-less afe severity classification heart rate microfluidic device load modulation respiration rate disease severity mhz wrap sensors mutual inductance technology industrial informatics sensor suite body area network

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Smart Wearable for Real-Time Cardiac Disease Detection Using Beat-By-Beat Ecg Signal Analysis With an Edge Computing AI Classifier. (2024)

Mahfuzur RahmanBashir I. Morshed

cardiologywearable technologysmart wearablesmart sensorsassistive technologybiomedical engineeringhealth monitoringintelligent computingpatient monitoringai classifierwearable sensorssmart healthdigital healthhealth technologyedge computing

CARDIOHELP: A Smartphone Application for Beat-By-Beat Ecg Signal Analysis for Real-Time Cardiac Disease Detection Using Edge-Computing AI Classifiers. Smart Health (2024)

Ucchwas Talukder UtshaBashir I. Morshed

embedded machine learningmobile computingedge computingedge-computing ai classifierssmart healthartificial intelligencesmartphone applicationmobile sensingsignal processingmachine learningcomputer science

Detecting Various Hand Gestures From Emg Signals Using Inkjet-Printed Dry Flexible Electrodes With Machine Learning Algorithms. (2024)

Nabonita MitraMst. Moriom Rojy MomotaBashir I. Morshed

machine learningmachine learning algorithmsvarious hand gesturesemg signalsgesture recognitioncomputer science

Ecg Beat-By-Beat Classification Using Hybrid Transformer Neural Network Model in Smart Health. (2024)

I Hua TsaiBashir I. Morshed

ecg beat-by-beat classificationneural network (machine learning)data sciencesmart health

Edge-Computing Enabled Real-Time Respiratory Monitoring and Breathing Pattern Detection. (2024)

Ucchwas Talukder UtshaBashir I. Morshed

breathing pattern detectionmobile computingwearable technologyreal-time respiratory monitoringcontinuous monitoringhealth monitoringhealth informaticsremote monitoringrespiratory medicinephysiological measurementscomputer sciencereal-time monitoringremote diagnosticsedge computing

Inkjet-Printed Dry Flexible Electromyography Electrode Array for Classifying Finger Movements With AI Algorithms. (2024)

Nabonita MitraUcchwas T. UtshaBashir I. Morshed

ai algorithmswearable technologysoft computingbiomedical engineeringmechanical engineeringassistive technologyflexible sensorcomputer engineeringprinted electronicsartificial intelligencefinger movementselectronicsflexible electronicsneural engineeringwearable electronicsgesture recognitionadditive manufacturing

Misalignment-Tolerant Planar Spiral Coil Pair Design for 13.56 Mhz Inductive Coupling of Wireless Resistive Analog Passive Sensors. Sensors (2024)

Babak NorooziBashir I. Morshed

sensor technologymhz inductive couplingsensor designpower electronicselectrical engineeringinstrumentation

Monitoring Disease Severity of Mild Cognitive Impairment From Single-Channel Eeg Data Using Regression Analysis. Sensors (2024)

Saleha KhatunBashir I. MorshedGavin M. Bidelman

cognitive neuroscienceneurologyelectrophysiologydisease severityneuroimagingcomputational neuroscienceneuroinformaticscognitive impairmentmild cognitive impairmentneurosciencehealth sciencessingle-channel eeg data

A Novel Geometric Visualization of Dual-Lead Ecg Signals for Beat-By-Beat Arrhythmia Detection With a 2D CNN Deep Learning Classifier. (2023)

Farhan SadikIshtiaque A. ShowmikBashir I. MorshedTahsina Farah Sanam

cardiologybeat-by-beat arrhythmia detectionelectrophysiologyconvolutional neural networksbenchmark studiesdeep learningelectrical engineeringdual-lead ecg signalsvisualizationmachine learningneurosciencehealth sciences

A Smart Health Application for Real-Time Cardiac Disease Detection and Diagnosis Using Machine Learning on Ecg Data. IFIP advances in information and communication technology (2023)

Ucchwas Talukder UtshaI Hua TsaiBashir I. Morshed

technologyhealth monitoringintelligent diagnosticssmart health applicationdigital medicinedigital healthmedical technologyelectrophysiologyhealth informaticsai healthcaremachine learninghealth sciencescardiologyecg datahealth technologybiomedical informaticsinformation technologyrespiratory medicinesmart healthcomputer science

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Bashir I. Morshed

Assistant Professor

University of Memphis

Affiliations

Herff College of Engineering

Electrical and Computer Engineering

Bashir I. Morshed is currently serving as an Electrical And Computer Engineering Assistant Professor at University of Memphis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bashir I. Morshed

University of Memphis

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Smart Wearable for Real-Time Cardiac Disease Detection Using Beat-By-Beat Ecg Signal Analysis With an Edge Computing AI Classifier. (2024)

Mahfuzur RahmanBashir I. Morshed

CARDIOHELP: A Smartphone Application for Beat-By-Beat Ecg Signal Analysis for Real-Time Cardiac Disease Detection Using Edge-Computing AI Classifiers. Smart Health (2024)

Ucchwas Talukder UtshaBashir I. Morshed

Detecting Various Hand Gestures From Emg Signals Using Inkjet-Printed Dry Flexible Electrodes With Machine Learning Algorithms. (2024)

Nabonita MitraMst. Moriom Rojy MomotaBashir I. Morshed

machine learningmachine learning algorithmsvarious hand gesturesemg signalsgesture recognitioncomputer science

Ecg Beat-By-Beat Classification Using Hybrid Transformer Neural Network Model in Smart Health. (2024)

I Hua TsaiBashir I. Morshed

ecg beat-by-beat classificationneural network (machine learning)data sciencesmart health

Edge-Computing Enabled Real-Time Respiratory Monitoring and Breathing Pattern Detection. (2024)

Ucchwas Talukder UtshaBashir I. Morshed

Inkjet-Printed Dry Flexible Electromyography Electrode Array for Classifying Finger Movements With AI Algorithms. (2024)

Nabonita MitraUcchwas T. UtshaBashir I. Morshed

Misalignment-Tolerant Planar Spiral Coil Pair Design for 13.56 Mhz Inductive Coupling of Wireless Resistive Analog Passive Sensors. Sensors (2024)

Babak NorooziBashir I. Morshed

sensor technologymhz inductive couplingsensor designpower electronicselectrical engineeringinstrumentation

Monitoring Disease Severity of Mild Cognitive Impairment From Single-Channel Eeg Data Using Regression Analysis. Sensors (2024)

Saleha KhatunBashir I. MorshedGavin M. Bidelman

A Novel Geometric Visualization of Dual-Lead Ecg Signals for Beat-By-Beat Arrhythmia Detection With a 2D CNN Deep Learning Classifier. (2023)

Farhan SadikIshtiaque A. ShowmikBashir I. MorshedTahsina Farah Sanam

A Smart Health Application for Real-Time Cardiac Disease Detection and Diagnosis Using Machine Learning on Ecg Data. IFIP advances in information and communication technology (2023)

Ucchwas Talukder UtshaI Hua TsaiBashir I. Morshed

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University of Texas at Arlington

electrical engineering

instrumentation

Pedram Mohseni

Institution

Case Western Reserve University

rehabilitation engineering

neural interface

Edward Sazonov

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signal processing

non-contact sensing

Jeong Lee

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precision engineering

Ellis Fan-Chuin Meng

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microfabrication

lab-on-a-chip

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