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Md. Mahbubur Rahman

14 accepted papers

2026

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series

ICLR 2026poster

Wearable sensors provide abundant physiological time series observations, yet the resolution at which we should extract features for downstream tasks remain unclear. We hypothesize that temporal resolution is a fundamental axis of representation learning, with different clinical and behavioral outco…

Cited by 0SourcecodeScholar
2025

Evaluation of Wearable Head BCG for PTT Measurement in Blood Pressure Intervention

ICASSP 2025accepted

This study evaluates the usability of wearable head ballistocardiography (BCG) in providing accurate pulse transit time (PTT) measurements during blood pressure (BP) interventions. Head BCG is a new technique enabling measurement of proximal aortic blood ejection from sensors placed at distal sites,…

Cited by 0SourceScholar
2025

Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection

EMNLP 2025

The rise of multimodal content on social platforms has led to the rapid spread of complex and persuasive false narratives, combining of text and images. Traditional rumor detection models attempt to identify such content by relying on textual cues or employing shallow multimodal fusion techniques. H

Cited by 0SourcePDFScholar
2025

Know Your Heart Better: Multimodal Cardiac Output Monitoring using Earbuds

ICASSP 2025accepted

Cardiac Output (CO) is a critical indicator of health, offering insights into cardiac dysfunction, acute stress responses, and cognitive decline. Traditional CO monitoring methods, like impedance cardiography, are invasive and impractical for daily use, leading to a gap in continuous, non-invasive m…

Cited by 0SourceScholar
2025

Optimizing Biomarkers from Earbud Ballistocardiogram: Calibration and Calibration-Free Algorithms for Accelerometer Axis Selection and Fusion

ICASSP 2025accepted

The earbud-based ballistocardiogram (BCG) assessment holds significant promise for monitoring diverse physiological signals, including stress, cardiac activity, and blood pressure. However, unlike traditional methods that measure the force component along the head-to-foot axis for enhanced BCG signa…

Cited by 0SourceScholar
2024

Ballistocardiogram-Based Heart Rate Variability Estimation for Stress Monitoring using Consumer Earbuds

ICASSP 2024accepted

Stress can potentially have detrimental effects on both physical and mental well-being, but monitoring it can be challenging, especially in free-living conditions. One approach to address this challenge is to use earbud accelerometers to capture the ballistocardiogram (BCG) response. These sensors a…

Cited by 0SourceScholar
2024

Core Body Temperature and its Role in Detecting Acute Stress: A Feasibility Study

ICASSP 2024accepted

Core body temperature (CBT) is one of the critical yet under-explored phenomena in the context of stress detection. Several CBT measurement methods exist, but they are often limited in continuous CBT monitoring. Furthermore, how continuous CBT can be used to model acute stress is little explored. We…

Cited by 0SourceScholar
2024

Heart Rate Variability Estimation with Dynamic Fine Filtering and Global-Local Context Outlier Removal

ICASSP 2024accepted

Consumer hearable technologies such as earbuds are increasingly embedding physiological sensors, including photoplethysmography (PPG) and inertial measurements. They create unique opportunities to passively monitor stress and deliver digital interventions such as music. However, PPG signals recorded…

Cited by 0SourceScholar
2023

BreathIE: Estimating Breathing Inhale Exhale Ratio Using Motion Sensor Data from Consumer Earbuds

ICASSP 2023accepted

Breathing Inhale/Exhale (IE) ratio is one of the critical breathing biomarkers for pulmonary patients and healthy individuals. It can indicate the severity of lung obstruction for chronic lung patients and help detect psycho-social stress for healthy individuals. With the advancement of wearable tec…

Cited by 0SourceScholar
2023

Mouth Breathing Detection Using Audio Captured Through Earbuds

ICASSP 2023accepted

Mouth breathing has been linked to a variety of negative health outcomes, including sleep-related disorders and dental problems. Detecting mouth breathing in the daily environment could be helpful for early intervention and reversing the negative impact. However, existing research has not adequately…

Cited by 0SourceScholar
2022

Coughtrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-Efficient Sensitivity-Prioritized Time Series Classifier

ICASSP 2022accepted

Persistent coughs are a major symptom of respiratory-related diseases. Increasing research attention has been paid to detecting coughs using wearables, especially during the COVID-19 pandemic. Microphone is most widely used sensor to detect coughs. However, the intense power consumption needed to pr…

Cited by 0SourceScholar
2022

Ubilung: Multi-Modal Passive-Based Lung Health Assessment

ICASSP 2022accepted

Lung health assessment is traditionally done mainly through X-ray images and spirometry tests which are time-consuming, cumbersome, and costly. In this paper, we investigate the potential of passively recordable contents such as speech, cough and heart signal for such an assessment. Our regression m…

Cited by 0SourceScholar
2017

Relay vehicle formations for optimizing communication quality in robot networks

IROS 2017poster

In this paper, we solve the problem of relay robot placement in multi-robot missions to establish or enhance communication between a static operator and a number of remote units in an environment with known obstacles. We study the hardness of two different relay placement problems: 1) a chain format…

Cited by 9SourceScholar
2015

A coupled discrete-event and motion planning methodology for automated safety assessment in construction projects

ICRA 2015poster

Collisions between moving machinery and human workers in construction job sites are one of the main sources of fatalities and accidents during the execution of construction projects. In this paper, we present a methodology to identify and assess construction project plan dangers before their executi…

Cited by 6SourceScholar