Ahmadreza Argha

Orcid: 0000-0002-8276-9774

According to our database1, Ahmadreza Argha authored at least 54 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning.
IEEE Trans. Biomed. Eng., 2023

Revolutionizing Genomics with Reinforcement Learning Techniques.
CoRR, 2023

Revisiting Transfer Learning Method for Tuberculosis Diagnosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

New Perspectives on Non-invasive Blood Pressure Measurement.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
BP Data-UNSW.
Dataset, May, 2022

Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm.
IEEE Trans. Instrum. Meas., 2022

2021
A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds.
IEEE J. Biomed. Health Informatics, 2021

Are Korotkoff Sounds Reliable Markers for Accurate Estimation of Systolic and Diastolic Pressure Using Brachial Cuff Sphygmomanometry?
IEEE Trans. Biomed. Eng., 2021

An Unobtrusive Fall Detection System Using Low Resolution Thermal Sensors and Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Auscultatory and Oscillometry Blood Pressure Data.
Dataset, May, 2020

GMM-HMM-Based Blood Pressure Estimation Using Time-Domain Features.
IEEE Trans. Instrum. Meas., 2020

Blood Pressure Estimation From Time-Domain Features of Oscillometric Waveforms Using Long Short-Term Memory Recurrent Neural Networks.
IEEE Trans. Instrum. Meas., 2020

Nonparametric Model Prediction for Intelligent Regulation of Human Cardiorespiratory System to Prescribed Exercise Medicine.
IEEE Access, 2020

2019
Design of optimal sliding-mode control using partial eigenstructure assignment.
Int. J. Control, 2019

A framework for optimal actuator/sensor selection in a control system.
Int. J. Control, 2019

Control allocation-based fault tolerant control.
Autom., 2019

Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models.
IEEE Access, 2019

The effects of different tracking tasks on muscle synergy through visual feedback.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and GMM-HMM Classification Approach.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Control Allocation Based Sliding Mode Fault Tolerant Control.
Proceedings of the 2019 American Control Conference, 2019

2018
Sparsely distributed sliding mode control for interconnected systems.
J. Frankl. Inst., 2018

Mixed H2/H∞-based actuator selection for uncertain polytopic systems with regional pole placement.
Int. J. Control, 2018

Congestive Heart Failure Detection Via Short-Time Electrocardiographic Monitoring For Fast Reference Advice In Urgent Medical Conditions.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Seasonal Variation In An At-Home Telemonitoring Trial.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Novel Optimal Sliding Mode Control For Multiple Time-Delay Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Optimal Sparsely Distributed Static Output Feedback For Publisher/Subscriber Networked Systems With Parametric Uncertainties.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback.
Medical Biol. Eng. Comput., 2017

Design of H2 (H∞)-based optimal structured and sparse static output feedback gains.
J. Frankl. Inst., 2017

Sliding mode stabilisation of networked systems with consecutive data packet dropouts using only accessible information.
Int. J. Syst. Sci., 2017

Nonparametric modelling of VO2 response to exercise.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Strong stability based robust sliding mode control.
Proceedings of the 11th Asian Control Conference, 2017

2016
Advances in discrete-time sliding mode control: theory and applications
PhD thesis, 2016

On LMI-based sliding mode control for uncertain discrete-time systems.
J. Frankl. Inst., 2016

Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

"2/H∞ based sliding mode control: A partial eigenstructure assignment method.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal actuator/sensor selection through dynamic output feedback.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

ℋ2-based optimal sparse sliding mode control for networked control systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Controllability Analysis of Two-Dimensional Systems Using 1D Approaches.
IEEE Trans. Autom. Control., 2015

A novel sliding mode controller for DC-DC boost converters under input/load variations.
Proceedings of the IECON 2015, 2015

Designing adaptive integral sliding mode control for heart rate regulation during cycle-ergometer exercise using bio-feedback.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Heart rate regulation during cycle-ergometer exercise via bio-feedback.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Robust output-feedback discrete-time sliding mode control utilizing disturbance observer.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Discrete-time sliding mode control for networked systems with random communication delays.
Proceedings of the American Control Conference, 2015

2014
On heart rate regulation in cycle-ergometer exercise.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A new LMI-based robust Sliding Mode Control for the uncertain discrete-time systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Controllability analysis of the first FM model of 2D systems: A row (column) process.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Decentralized sliding mode control for uncertain discrete-time large-scale systems: An LMI approach.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014

2013
A new approach to applying discrete sliding mode control to 2D systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

The application of Discrete sliding mode control in parabolic PDE dynamics.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013

2008
Iterative learning control for 2-D systems.
Proceedings of the International Joint Conference on Neural Networks, 2008


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