By Dr Reza Argha

Conference Papers

Argha A; Li L; Ha Q; Su SW; Nguyen H, 2018, 'Strong stability based robust sliding mode control', in 2017 Asian Control Conference Ascc 2017, pp. 588 - 593, http://dx.doi.org/10.1109/ASCC.2017.8287236

Ye L; Argha A; Celler BG; Zhang Y; Nguyen HT; Su SW, 2017, 'Nonparametric modelling of VO2response to exercise', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Seogwipo, South Korea, pp. 1525 - 1528, presented at 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, 11 July 2017 - 15 July 2017, http://dx.doi.org/10.1109/EMBC.2017.8037126

Argha A; Ye L; Cao K; Su SW; Celler BG, 2017, 'Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Seogwipo, South Korea, pp. 1312 - 1315, presented at 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, South Korea, 11 July 2017 - 15 July 2017, http://dx.doi.org/10.1109/EMBC.2017.8037073

Argha A; Celler B, 2017, 'Analysis of the compliance with the measurement protocols scheduled in a telemonitoring system', in Proceedings of the 2017 International Conference on Orange Technologies Icot 2017, pp. 26 - 29, http://dx.doi.org/10.1109/ICOT.2017.8336081

Celler B; Argha A; Varnfield M; Jayasena R, 2017, 'The importance of at-home telemonitoring of vital signs for patients with chronic conditions', in Proceedings of the 2017 International Conference on Orange Technologies Icot 2017, pp. 22 - 25, http://dx.doi.org/10.1109/ICOT.2017.8336080

Argha A; Li L; Su SW; Nguyen H, 2017, 'Sparse Observer-Based Sliding Mode Control For Networked Control Systems', pp. 12997 - 13002, http://dx.doi.org/10.1016/j.ifacol.2017.08.1812

Argha A; Li L; Su SW; Nguyen H, 2016, 'H22-based optimal sparse sliding mode control for networked control systems', in 2016 IEEE 55th Conference on Decision and Control Cdc 2016, pp. 6826 - 6831, http://dx.doi.org/10.1109/CDC.2016.7799320

Argha A; Su SW; Savkin A, 2016, 'Optimal actuator/sensor selection through dynamic output feedback', in 2016 IEEE 55th Conference on Decision and Control Cdc 2016, pp. 3624 - 3629, http://dx.doi.org/10.1109/CDC.2016.7798814

Argha A; Su SW; Savkin A; Celler B, 2016, '2/H∞ based sliding mode control: A partial eigenstructure assignment method', in 2016 IEEE 55th Conference on Decision and Control, CDC 2016, Las Vegas, USA, pp. 5354 - 5359, presented at 55th IEEE Conference on Decision and Control, Las Vegas, USA, 12 December 2016 - 14 December 2016, http://dx.doi.org/10.1109/CDC.2016.7799090

Argha A; Li L; Su SW; Nguyen H, 2016, 'H-2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems', in 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE, NV, Las Vegas, pp. 6826 - 6831, presented at 55th IEEE Conference on Decision and Control (CDC), NV, Las Vegas, 12 December 2016 - 14 December 2016, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400048107006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Argha A; Su SW; Savkin A; Celler B, 2016, 'H-2/H-infinity Based Sliding Mode Control: A Partial Eigenstructure Assignment Method', in 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE, NV, Las Vegas, pp. 5354 - 5359, presented at 55th IEEE Conference on Decision and Control (CDC), NV, Las Vegas, 12 December 2016 - 14 December 2016, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400048105089&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Argha A; Ye L; Su SW; Nguyen H; Celler BG, 2016, 'Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, pp. 2676 - 2679, http://dx.doi.org/10.1109/EMBC.2016.7591281

Argha A; Ye L; Su SW; Nguyen H; Celler BG, 2016, 'Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, pp. 2680 - 2683, http://dx.doi.org/10.1109/EMBC.2016.7591282

Ye L; Cao K; Guo J; Huang X; Beadle P; Argha A; Piccardi M; Zhang G; Su SW, 2016, 'Inertial sensor based post fall analysis for false alarming reduction', in Proceedings of the 3rd IASTED International Conference on Telehealth and Assistive Technology Tat 2016, pp. 36 - 43, http://dx.doi.org/10.2316/P.2016.846-011

Argha A; Li L; Su SW; Nguyen H, 2015, 'Decentralized sliding mode control for uncertain discrete-time large-scale systems: An LMI approach', in Proceedings of 2014 Australian Control Conference Aucc 2014, pp. 251 - 256, http://dx.doi.org/10.1109/AUCC.2014.7358688

Zhang J; Dorrell DG; Li L; Argha A, 2015, 'A novel sliding mode controller for DC-DC boost converters under input/load variations', in IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, IEEE, Yokohama, Japan, pp. 1698 - 1703, presented at IECON 2015 - 41st Annual Conference of the IEEE, Yokohama, Japan, 09 November 2015 - 12 November 2015, http://dx.doi.org/10.1109/IECON.2015.7392346

Argha A; Su SW; Nguyen H; Celler BG, 2015, 'Designing adaptive integral sliding mode control for heart rate regulation during cycle-ergometer exercise using bio-feedback', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, pp. 6688 - 6691, http://dx.doi.org/10.1109/EMBC.2015.7319927

Argha A; Su SW; Nguyen H; Celler BG, 2015, 'Heart rate regulation during cycle-ergometer exercise via bio-feedback', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, pp. 4639 - 4642, http://dx.doi.org/10.1109/EMBC.2015.7319428

Argha A; Li L; Su SW; Nguyen H, 2015, 'Discrete-time sliding mode control for networked systems with random communication delays', in Proceedings of the American Control Conference, pp. 6016 - 6021, http://dx.doi.org/10.1109/ACC.2015.7172284

Argha A; Li L; Su SW; Nguyen H, 2015, 'Robust output-feedback discrete-time sliding mode control utilizing disturbance observer', in Proceedings of the IEEE Conference on Decision and Control, pp. 5671 - 5676, http://dx.doi.org/10.1109/CDC.2015.7403109

Argha A; Su SW; Lee S; Nguyen H; Celler BG, 2014, 'On heart rate regulation in cycle-ergometer exercise', in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Embc 2014, pp. 3390 - 3393, http://dx.doi.org/10.1109/EMBC.2014.6944350

Argha A; Li L; Su SW; Nguyen H, 2014, 'A new LMI-based robust Sliding Mode Control for the uncertain discrete-time systems', in Proceedings of the IEEE Conference on Decision and Control, pp. 4747 - 4752, http://dx.doi.org/10.1109/CDC.2014.7040129

Argha A; Li L; Su SW; Nguyen H, 2014, 'Controllability analysis of the first FM model of 2D systems: A row (column) process', in Proceedings of the IEEE Conference on Decision and Control, pp. 2414 - 2419, http://dx.doi.org/10.1109/CDC.2014.7039757

Argha A; Li L; Su SW; Nguyen H, 2013, 'The application of Discrete sliding mode control in parabolic PDE dynamics', in 2013 3rd Australian Control Conference Aucc 2013, pp. 152 - 157, http://dx.doi.org/10.1109/AUCC.2013.6697264

Argha A; Li L; Su SW, 2013, 'A new approach to applying discrete sliding mode control to 2D systems', in Proceedings of the IEEE Conference on Decision and Control, pp. 3584 - 3589, http://dx.doi.org/10.1109/CDC.2013.6760434

Sarvestani ZM; Argha A; Roopaei M, 2011, 'Using Iterative Learning Control methods for 2-D systems', in Proceedings of the International Conference on Uncertainty Reasoning and Knowledge Engineering Urke 2011, pp. 124 - 128, http://dx.doi.org/10.1109/URKE.2011.6007862

Afkhami H; Argha A, 2010, 'An optimal ILC method for two-dimensional systems', in Siisy 2010 8th IEEE International Symposium on Intelligent Systems and Informatics, pp. 511 - 517, http://dx.doi.org/10.1109/SISY.2010.5647072

Moattari M; Ahrari Nouri M; Argha A, 2010, 'Adopting fuzzy iterative learning control method for reactive power planning in distribution systems', in Peoco 2010 4th International Power Engineering and Optimization Conference Program and Abstracts, pp. 528 - 532, http://dx.doi.org/10.1109/PEOCO.2010.5559193

Argha A; Karimaghaee P; Roopaei M; Jahromi MZ, 2008, 'Fuzzy Iterative Learning Control in 2-D systems', in Ao SI; Gelman L; Hukins DWL; Hunter A; Korsunsky AM (eds.), WORLD CONGRESS ON ENGINEERING 2008, VOLS I-II, INT ASSOC ENGINEERS-IAENG, ENGLAND, Imperial Coll London, London, pp. 58 - +, presented at World Congress on Engineering 2008, ENGLAND, Imperial Coll London, London, 02 July 2008 - 04 July 2008, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000259580600010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Argha A; Karimaghaee P; Roopaei M, 2008, 'Iterative learning control for 2-D systems', in Proceedings of the International Joint Conference on Neural Networks, pp. 2164 - 2168, http://dx.doi.org/10.1109/IJCNN.2008.4634096

Conference Presentations

Celler B; Yong A; Rubenis I; Butlin M; Argha R; Rehan R; Avolio A, 2023, 'CAN RECORDING KOROTKOFF SOUNDS DURING BRACHIAL CUFF INFLATION PROVIDE MORE ACCURATE NON-INVASIVE ESTIMATES OF INTRA-ARTERIAL BLOOD PRESSURE?', http://dx.doi.org/10.1097/01.hjh.0000938960.09338.01

Preprints

Chen G; Sun C; Fu C; Wang Q; Huang Z; Wei C; Chen G; Fang F; Argha A; Zhao B; Xu X; Han Q; Alinejad-Rokny H; Qu Q; Li B; Ni S; Yang M; Wei H; Li Y, 2026, Beyond Quantity: Trajectory Diversity Scaling for Code Agents, http://dx.doi.org/10.48550/arxiv.2602.03219

Karami M; Khadijeh ; Jahanian ; Alizadehsani R; Dehzangi I; Gorriz JM; Zhang Y; Wang J; Hajati F; Yang M; Porntaveetus T; Alinejad-Rokny H, 2026, Revolutionizing Genomics with Reinforcement Learning Techniques, http://dx.doi.org/10.48550/arxiv.2302.13268

Yang Z; Xu A; Li J; Yan L; Zhou J; Qin Z; Chang H; Chen Y; Chen L; Argha A; Alinejad-Rokny H; Tan M; Cai Y; Yang M, 2026, Structuring Reasoning for Complex Rules Beyond Flat Representations, http://dx.doi.org/10.48550/arxiv.2510.05134

Chen D; Liu Z; Fang F; Leong CT; Ni S; Argha A; Alinejad-Rokny H; Yang M; Li C, 2026, Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation, http://dx.doi.org/10.48550/arxiv.2506.02973

Zhao J; Xu L; Tan M; Zhang L; Argha A; Alinejad-Rokny H; Yang M, 2025, RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation, http://dx.doi.org/10.48550/arxiv.2511.04328

Zahedi R; Argha A; Farbehi N; Bakhshayeshi I; Ye Y; Lovell NH; Alinejad-Rokny H, 2025, SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics, http://dx.doi.org/10.48550/arxiv.2506.11491

Chen D; Fang F; Ni S; Liang F; Hu X; Argha A; Alinejad-Rokny H; Yang M; Li C, 2025, Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused, http://dx.doi.org/10.48550/arxiv.2408.08769

Li J; Chen Y; Liu Z; Tan M; Zhang L; Li Y; Luo R; Chen L; Luo J; Argha A; Alinejad-Rokny H; Zhou W; Yang M, 2025, STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation, http://dx.doi.org/10.48550/arxiv.2506.02347

Sadeghi A; Hajati F; Argha A; Lovell NH; Yang M; Alinejad-Rokny H, 2025, Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking, http://dx.doi.org/10.48550/arxiv.2505.01696

Luo J; Chen L; Luo R; Zhu L; Ao C; Li J; Chen Y; Cheng X; Yang W; Su J; Argha A; Alinejad-Rokny H; Li C; Ni S; Yang M, 2025, PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation, http://dx.doi.org/10.48550/arxiv.2410.01504

Lee S; Ni S; Wei C; Li S; Fan L; Argha A; Alinejad-Rokny H; Xu R; Gong Y; Yang M, 2025, xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking, http://dx.doi.org/10.48550/arxiv.2501.16727

Shamsi A; Becirovic R; Argha A; Abbasnejad E; Alinejad-Rokny H; Mohammadi A, 2024, ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance, http://dx.doi.org/10.48550/arxiv.2409.09251

Nasab RZ; Ghamsari MRE; Argha A; Macphillamy C; Beheshti A; Alizadehsani R; Lovell NH; Lotfollahi M; Alinejad-Rokny H, 2023, Deep Learning in Spatially Resolved Transcriptomics: A Comprehensive Technical View, http://dx.doi.org/10.48550/arxiv.2210.04453

Labani M; Beheshti A; Argha A; Alinejad H, An Integrative Analysis of Chromatin Interactions, Gene Expression and Genomic Variants Identifies 30 Likely Regulatory Variants in Prostate Cancer, http://dx.doi.org/10.20944/preprints202301.0343.v1

Ni S; Li S; Wang S; Xue W; Zhang L; Fan L; Bi X; Li Y; Gan C; Jin J; Lu Y; Argha A; Alinejad-Rokny H; Si T; Yang M; Wang T, Decoding Prokaryotic Whole Genomes with a Product-Contextualized Large Language Model, http://dx.doi.org/10.64898/2025.12.03.692003

Hansun S; Argha A; Bakhshayeshi I; Wicaksana A; Alinejad-Rokny H; Fox GJ; Liaw S-T; Celler BG; Marks GB, Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review (Preprint), http://dx.doi.org/10.2196/preprints.69068

Argha A; Savkin A; Liaw S-T; Celler BG, Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth Trial (Preprint), http://dx.doi.org/10.2196/preprints.9680

Hansun S; Argha A; Liaw S-T; Celler BG; Marks GB, Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review (Preprint), http://dx.doi.org/10.2196/preprints.43154

Phan J; Parker G; Lovell N; Subbiah RN; Vandenberg JI; Hill AP; Argha A, MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillation, http://dx.doi.org/10.1101/2025.06.21.25330061

Back to profile page