Iterative learning control for 2-D systems. - Ahmadreza Argha; Paknoosh Karimaghaee; Mehdi Roopaei (IJCNN, 2008)

The application of Discrete sliding mode control in parabolic PDE dynamics. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (AuCC, 2013)

A new approach to applying discrete sliding mode control to 2D systems. - Ahmadreza Argha; Li Li 031; Steven W. Su (CDC, 2013)

Decentralized sliding mode control for uncertain discrete-time large-scale systems: An LMI approach. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (AuCC, 2014)

Controllability analysis of the first FM model of 2D systems: A row (column) process. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (CDC, 2014)

A new LMI-based robust Sliding Mode Control for the uncertain discrete-time systems. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (CDC, 2014)

On heart rate regulation in cycle-ergometer exercise. - Ahmadreza Argha; Steven W. Su; Sangwon Lee; Hung T. Nguyen 001; Branko G. Celler (EMBC, 2014)

Discrete-time sliding mode control for networked systems with random communication delays. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (ACC, 2015)

Robust output-feedback discrete-time sliding mode control utilizing disturbance observer. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (CDC, 2015)

Heart rate regulation during cycle-ergometer exercise via bio-feedback. - Ahmadreza Argha; Steven W. Su; Hung T. Nguyen 001; Branko G. Celler (EMBC, 2015)

Designing adaptive integral sliding mode control for heart rate regulation during cycle-ergometer exercise using bio-feedback. - Ahmadreza Argha; Steven W. Su; Hung T. Nguyen 001; Branko G. Celler (EMBC, 2015)

A novel sliding mode controller for DC-DC boost converters under input/load variations. - Jianwei Zhang 011; David George Dorrell; Li Li 031; Ahmadreza Argha (IECON, 2015)

Controllability Analysis of Two-Dimensional Systems Using 1D Approaches. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (IEEE Trans. Autom. Control., 2015)

ℋ2-based optimal sparse sliding mode control for networked control systems. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (CDC, 2016)

Optimal actuator/sensor selection through dynamic output feedback. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin (CDC, 2016)

"2/H∞ based sliding mode control: A partial eigenstructure assignment method. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin; Branko G. Celler (CDC, 2016)

Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method. - Ahmadreza Argha; Lin Ye; Steven W. Su; Hung T. Nguyen 001; Branko G. Celler (EMBC, 2016)

Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method. - Ahmadreza Argha; Lin Ye; Steven W. Su; Hung T. Nguyen 001; Branko G. Celler (EMBC, 2016)

On LMI-based sliding mode control for uncertain discrete-time systems. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (J. Frankl. Inst., 2016)

Advances in discrete-time sliding mode control: theory and applications - Ahmadreza Argha (2016)

Strong stability based robust sliding mode control. - Ahmadreza Argha; Li Li 031; Quang Ha; Steven W. Su; Hung T. Nguyen 001 (ASCC, 2017)

Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme. - Ahmadreza Argha; Lin Ye; Kai Cao; Steven W. Su; Branko G. Celler (EMBC, 2017)

Nonparametric modelling of VO2 response to exercise. - Lin Ye; Ahmadreza Argha; Branko G. Celler; Yi Zhang 042; Hung T. Nguyen 001; Steven W. Su (EMBC, 2017)

Sliding mode stabilisation of networked systems with consecutive data packet dropouts using only accessible information. - Ahmadreza Argha; Li Li 031; Steven W. Su (Int. J. Syst. Sci., 2017)

Design of H2 (H∞)-based optimal structured and sparse static output feedback gains. - Ahmadreza Argha; Li Li 031; Steven W. Su (J. Frankl. Inst., 2017)

Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback. - Ahmadreza Argha; Steven W. Su; Branko G. Celler (Medical Biol. Eng. Comput., 2017)

Optimal Sparsely Distributed Static Output Feedback For Publisher/Subscriber Networked Systems With Parametric Uncertainties. - Ahmadreza Argha; Steven W. Su; Branko G. Celler (ACC, 2018)

A Novel Optimal Sliding Mode Control For Multiple Time-Delay Systems. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin; Branko G. Celler (ACC, 2018)

Seasonal Variation In An At-Home Telemonitoring Trial. - Ahmadreza Argha; Branko G. Celler (EMBC, 2018)

Congestive Heart Failure Detection Via Short-Time Electrocardiographic Monitoring For Fast Reference Advice In Urgent Medical Conditions. - Yi Zhang 042; Qin Yang; Winnie Pang; Ahmadreza Argha; Peng Xu 001; Steven W. Su; Dezhong Yao 001 (EMBC, 2018)

Mixed H2/H∞-based actuator selection for uncertain polytopic systems with regional pole placement. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin; Branko G. Celler (Int. J. Control, 2018)

Sparsely distributed sliding mode control for interconnected systems. - Ahmadreza Argha; Li Li 031; Steven W. Su; Hung T. Nguyen 001 (J. Frankl. Inst., 2018)

Control Allocation Based Sliding Mode Fault Tolerant Control. - Ahmadreza Argha; Steven W. Su; Yanan Liu; Branko G. Celler (ACC, 2019)

Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning. - Ahmadreza Argha; Branko G. Celler (EMBC, 2019)

Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and GMM-HMM Classification Approach. - Branko G. Celler; Phu Ngoc Le; Ahmadreza Argha; Eliathamby Ambikairajah (EMBC, 2019)

The effects of different tracking tasks on muscle synergy through visual feedback. - Yao Huang; Rong Song; Wenhui Chen; Hairong Yu; Ahmadreza Argha; Branko G. Celler; Steven W. Su (EMBC, 2019)

Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models. - Ahmadreza Argha; Ji Wu 007; Steven W. Su; Branko G. Celler (IEEE Access, 2019)

Control allocation-based fault tolerant control. - Ahmadreza Argha; Steven W. Su; Branko G. Celler (Autom., 2019)

A framework for optimal actuator/sensor selection in a control system. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin; Branko G. Celler (Int. J. Control, 2019)

Design of optimal sliding-mode control using partial eigenstructure assignment. - Ahmadreza Argha; Steven W. Su; Andrey V. Savkin; Branko G. Celler (Int. J. Control, 2019)

Nonparametric Model Prediction for Intelligent Regulation of Human Cardiorespiratory System to Prescribed Exercise Medicine. - Hairong Yu; Yi Zhang 042; Lin Ye; Hamzah Alqudah; Kairui Guo; Ahmadreza Argha; Branko G. Celler; Rong Song; Steven W. Su (IEEE Access, 2020)

Blood Pressure Estimation From Time-Domain Features of Oscillometric Waveforms Using Long Short-Term Memory Recurrent Neural Networks. - Ahmadreza Argha; Branko G. Celler (IEEE Trans. Instrum. Meas., 2020)

GMM-HMM-Based Blood Pressure Estimation Using Time-Domain Features. - Branko G. Celler; Phu Ngoc Le; Ahmadreza Argha; Eliathamby Ambikairajah (IEEE Trans. Instrum. Meas., 2020)

Auscultatory and Oscillometry Blood Pressure Data. - Ahmadreza Argha (IEEE DataPort, 2020)

An Unobtrusive Fall Detection System Using Low Resolution Thermal Sensors and Convolutional Neural Networks. - Ariyamehr Mohsen Rezaei; Michael C. Stevens 002; Ahmadreza Argha; Alessandro Mascheroni; Alessandro Puiatti; Nigel H. Lovell (EMBC, 2021)

Are Korotkoff Sounds Reliable Markers for Accurate Estimation of Systolic and Diastolic Pressure Using Brachial Cuff Sphygmomanometry? - Branko G. Celler; Mark Butlin; Ahmadreza Argha; Isabella Tan; Andy Yong; Alberto Avolio (IEEE Trans. Biomed. Eng., 2021)

A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds. - Ahmadreza Argha; Branko G. Celler; Nigel H. Lovell (IEEE J. Biomed. Health Informatics, 2021)

Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm. - Ahmadreza Argha; Branko G. Celler; Hamid Alinejad-Rokny; Nigel H. Lovell (IEEE Trans. Instrum. Meas., 2022)

BP Data-UNSW. - Ahmadreza Argha; Branko G. Celler (IEEE DataPort, 2022)

New Perspectives on Non-invasive Blood Pressure Measurement. - Ahmadreza Argha; Branko G. Celler; Andy Yong; Imants Rubenis; Mark Butlin; Alberto Avolio (EMBC, 2023)

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm. - Ahmadreza Argha; Joan Li; Joseph Magdy; Hamid Alinejad-Rokny; Branko G. Celler; Ken Butcher; Sze-Yuan Ooi; Nigel H. Lovell (EMBC, 2023)

Revisiting Transfer Learning Method for Tuberculosis Diagnosis. - Seng Hansun; Ahmadreza Argha; Hamid Alinejad-Rokny; Siaw-Teng Liaw; Branko G. Celler; Guy B. Marks (EMBC, 2023)

Revolutionizing Genomics with Reinforcement Learning Techniques. - Mohsen Karami; Roohallah Alizadehsani; Khadijeh Jahanian; Ahmadreza Argha; Iman Dehzangi; Hamid Alinejad-Rokny (CoRR, 2023)

An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning. - Ariyamehr Mohsen Rezaei; Michael C. Stevens 002; Ahmadreza Argha; Alessandro Mascheroni; Alessandro Puiatti; Nigel H. Lovell (IEEE Trans. Biomed. Eng., 2023)

mmYOLOH-p: A Clinically-Oriented mmWave-Based Human Pose Estimation Tool for Unobtrusive Patient Monitoring. - Jonathan Williams; Jimmy Wang; Michael C. Stevens 002; Nigel H. Lovell; Ahmadreza Argha (EMBC, 2024)

Deep learning in spatially resolved transcriptomics: a comprehensive technical view. - Roxana Zahedi; Reza Ghamsari; Ahmadreza Argha; Callum Macphillamy; Amin Beheshti; Roohallah Alizadehsani; Nigel H. Lovell; Mohammad Lotfollahi; Hamid Alinejad-Rokny (Briefings Bioinform., 2024)

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection. - Alireza Sadeghi; Farshid Hajati; Alireza Rezaee; Mahdieh Sadeghi; Ahmadreza Argha; Hamid Alinejad-Rokny (Comput. Biol. Medicine, 2024)

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. - Afshar Shamsi; Rejisa Becirovic; Ahmadreza Argha; Ehsan Abbasnejad; Hamid Alinejad-Rokny; Arash Mohammadi 001 (CoRR, 2024)

STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. - Jiaming Li 004; Yukun Chen; Ziqiang Liu; Minghuan Tan; Lei Zhang 201; Yunshui Li; Run Luo; Longze Chen; Jing Luo; Ahmadreza Argha; Hamid Alinejad-Rokny; Wei Zhou 028; et al. (ACL (Findings), 2025)

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis. - Amirhosein Zobeiri; Alireza Rezaee; Farshid Hajati; Ahmadreza Argha; Hamid Alinejad-Rokny (Int. J. Medical Informatics, 2025)

xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking. - Sunbowen Lee; Shiwen Ni; Chi Wei; Shuaimin Li; Liyang Fan; Ahmadreza Argha; Hamid Alinejad-Rokny; Ruifeng Xu 001; Yicheng Gong; Min Yang 007 (CoRR, 2025)

A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms. - Ahmadreza Argha; Hamid Alinejad-Rokny; Martin Baumgartner; Günter Schreier 001; Branko G. Celler; Stephen J. Redmond; Ken Butcher; Sze-Yuan Ooi; Nigel H. Lovell (IEEE Trans. Biomed. Eng., 2025)

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking. - Alireza Sadeghi; Farshid Hajati; Ahmadreza Argha; Nigel H. Lovell; Min Yang 007; Hamid Alinejad-Rokny (CoRR, 2025)

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation. - Dingwei Chen; Ziqiang Liu; Feiteng Fang; Chak Tou Leong; Shiwen Ni; Ahmadreza Argha; Hamid Alinejad-Rokny; Min Yang 007; Chengming Li (CoRR, 2025)

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics. - Roxana Zahedi; Ahmadreza Argha; Nona Farbehi; Ivan Bakhshayeshi; Youqiong Ye; Nigel H. Lovell; Hamid Alinejad-Rokny (CoRR, 2025)