CK
Chandan Karmakar
Deakin University, The University of Melbourne
Research areas: Medicine · Cardiology and Cardiovascular Medicine · Heart Rate Variability and Autonomic Control · ECG Monitoring and Analysis · Non-Invasive Vital Sign Monitoring
0000-0003-1814-0856
Employment
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Deakin University Associate Professor2024 - Present
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Deakin University Senior Lecturer2021 - 2023
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Deakin University Lecturer2018 - 2020
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Deakin University Research Fellow2017 - 2018
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Deakin University Alfred Deakin Postdoctoral Research Fellow2015 - 2017
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University of Melbourne Research Fellow2012 - 2015
Education
- ? - 2012
Projects & Funding
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Predictive Biomechanics for Modelling Gait Stability and Falls Prediction Australian Research Council2024 - 2026
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Machine learning approaches and wearable blood pressure device for individualised management of blood pressure (WinBP): A three-phase, mixed-methods, pilot randomised controlled trial National Heart Foundation of Australia2023 - Present
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New entropy measures of short term signals for smart wearable devices Australian Research Council2019 - 2021
Publications (200)
- A data-driven approach to depression detection and assessment using minimal brain signal sensing Save
- Resource-aware client selection for hierarchical federated learning in industrial control systems cyber-attack detection Save
- Trajectory-aware predictive handover framework for task offloading in vehicular edge networks Save
- Disrupted brain network topology and structure-function coupling in non-specific low back pain Save
- Effectiveness of sleep stage transition probability features to detect sleep disorders from single-night hypnogram Save
- Privacy-Preserving Lightweight Federated Learning for Heterogeneous Data in Internet of Medical Things Save
- Social Equity and Inclusion With Fair Dataset Representation of Diverse Populations in Diffusion Models Save
- Leveraging Solar Panels for Robust Cost-Friendly Privacy Preservation of Smart Meters Save
- A patient-centric secure access control architecture with dynamic edge data integrity verification in Internet of Medical Things Save
- DR-SFL: Dynamic and Resource-Aware Split Federated Learning for Semantic-Enabled 6G Industrial IoT Systems Save
- NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring Save
- Semi-Supervised Contrastive Learning for Label-Efficient Electrocardiogram Noise Detection Save
- Simulation-Based Electrical Screening of Computational-Surrogate rGO, CNT, and AgNW Inclusions in PDMS Using ANSYS Maxwell Save
- Impact and mitigation of blind filtering in automatic ECG analysis for wearable sensors Save
- Single-Channel EEG Physical Fatigue Detection: A Feature Selection and Validation Framework Save
- Poster: BlockFL-Med: Blockchain-Enabled and Lightweight Federated Learning for Smart Medical Spaces Save
- RAD-IoMT: Robust adversarial defence mechanisms for IoMT medical image analysis Save
- A key-controlled watermarking framework for tamper localization in physiological signals Save
- Delay-aware partial task offloading using multicriteria decision model in IoT–fog–cloud networks Save
- Robust Cyber Threat Intelligence Sharing Using Federated Learning for Smart Grids Save