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ai4uav
CARG AI4UAV: Obstacle detection and avoidance
Detection objects for infrastructure inspection flights 
CARG AI4UAV: AI-based Counter UAS Systems
Deep learning models for detection and tracking of intruder UAS 
CARG AI4UAV: Counter UAS Simulator
Simulator of ground and airborne sensors for UAV intruder detection 
CARG AI4UAV: Detecting 5G-Enabled UAVs
Detection and Classification of 5G/LTE Unmanned Aerial Systems 
health-devices
CARG Health Devices: Continuos blood pressure monitoring
Machine learning and signal processing advances for reliable, cuffless, long-term blood pressure monitoring 
CARG Health Devices: Contactless Estimation of Vital Signs
Radar-based signal processing and machine learning for detecting activities and falls and estimating vital signs. 
CARG Health Devices: Video-Based JVP Estimation
Computer vision and signal processing for estimating jugular vein height based on short video recordings of the neck. 
CARG Health Devices: Emotion Recognition using Physiological Signals
Machine learning and signal processing of ECG, PPG, breathing and EDA signals for emotion recognition 
CARG Health Devices: Simulation and Modeling of Physiological Devices and Systems
Model-based biomedical research 
hub
CARG HUB: AI for bioreactors
AI for development of insillico digital twin 
people
publications
Detecting Cardiac Activity by Capacitive Electrodes from a Single Point on the Wrist
Published in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, by S. He, X. Li, I. Batkin, H. R. Dajani and M. Bolic
This paper developed a new capacitive BCG wristband to monitor cardiac activity.
Continuous tracking of changes in systolic blood pressure using BCG and ECG
Published in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, by S. He, H. R. Dajani, R. D. Meade, G. P. Kenny and M. Bolic
This paper introduces a new time interval from BCG and ECG waveforms for cuffless blood pressure estimation.
A joint localization assisted respiratory rate estimation using IR-UWB radars
Published in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, by
This paper introduces a novel method to locate subjects using a depth camera to improve respiration monitoring with radars
Hybrid AI-enabled Method for UAS and Bird Detection and Classification
Published in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, by X. Zhang, V. Mehta, M. Bolic and I. Mantegh
A novel approach combining IMM filters and LSTM-based RNNs achieved 99.3% accuracy in classifying drones versus birds using synthetic trajectory data.
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
Published in Proceedings of the Third Workshop on Privacy in Natural Language Processing (PrivateNLP 2021), 2021, by Hathurusinghe, R., Nejadgholi, I., Bolic, M.
A collaborative training of NER models through federated learning.
Handling Massive Proportion of Missing Labels in Multivariate Long-Term Time Series Forecasting
Published in Journal of Physics: Conference Series, 2021, by Iglesias, J. C., Mehta, V., Venereo-Sanchez, A., Xu, X., Robitaille, J., Voyer, R., others
This paper handles situation where there are sparse labels for training machine learning forecast models for time series.
Tracking and Classification of Drones and Birds at a Far Distance Using Radar Data
Published in , 2021, by Mehta, V., Bolic, M., Mantegh, I., Vidal, C.
Distinguishing between birds and drones based on their motion patterns.
Identifying High Risk of Atherosclerosis Using Deep Learning and Ensemble Learning
Published in 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, by Olhosseiny, H. H., Mirzaloo, M., Bolic, M., Dajani, H. R., Groza, V., Yoshida, M.
The paper presents a classification of patients based on physiological signals.
A Q-Learning-Based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS
Published in IEEE Access, 2021, by Zhai, Q., Bolic, M., Li, Y., Cheng, W., Liu, C.
Novel Cuffless Blood Pressure Estimation Method Using a Bayesian Hierarchical Model
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, by He, S., Dajani, H. R., Bolic, M.
This paper introduces a novel method to estimate blood pressure for a new subject with very limited calibration measurements.
Contactless Measurement of Vital Signs Using Thermal and RGB Cameras: A Study of COVID 19-Related Health Monitoring
Published in Sensors, 2022, by Yang, F., He, S., Sadanand, S., Yusuf, A., Bolic, M.
Contactless Measurement of Vital Signs Using Thermal and RGB Cameras: A Study of COVID 19-Related Health Monitoring published in Sensors.
Monitoring the Recombinant Adeno-Associated Virus Production using Extended Kalman Filter
Published in Processes, 2022, by Iglesias Jr, CF, Xu, X, Mehta, V, Akassou, M, Venereo-Sanchez, A, Belacel, N, Bolic, M
This paper monitors the rAAV production using the online viable cell density measurements and estimating the other state variables measured at a low frequency.
A real-time respiration monitoring and classification system using a depth camera and radars
Published in Frontiers in Physiology, 2022, by He, S., Han, Z., Iglesias, C., Mehta, V., Bolic, M.
This paper introduces an indoor respiratory monitoring system for multiple subjects using radars and depth camera.
Monitoring Respiratory Motion during VMAT Treatment Delivery Using Ultra-Wideband Radar
Published in Sensors, 2022, by Fallatah, A, Bolic, M, MacPherson, M, La Russa, DJ
Monitoring Respiratory Motion during VMAT Treatment Delivery Using Ultra-Wideband Radar published in Sensors.
Pervasive Cardiovascular and Respiratory Monitoring Devices: Model-Based Design
Published in Elsevier, 2023, by Bolic, M
The book about modeling and simulation of biomedical devices.
rAAV Manufacturing: The Challenges of Soft Sensing during Upstream Processing
Published in Bioengineering, 2023, by Iglesias, CF, Ristovski, M, Bolic, M, Cuperlovic-Culf, M
This is a survey paper about machine learning models for rAAV manufacturing.
A Hybrid Framework for Object Distance Estimation using a Monocular Camera
Published in 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 2023, by Patel, V, Mehta, V, Bolic, M, Mantegh, I
A deep learning method for estimating the distance of intruder UAVs using a single camera.
Deep Reinforcement Learning solution for Scheduling critical notifications in a Digital Twin cluster
Published in , 2023, by Vrbaski, M, Bolic, M, Majumdar, S
The paper presents a multi-objective Scheduling approach for containerized microservice Critical Notification system applications based on reinforcement learning.
Simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters
Published in BIODEVICES, 2023, by Bolic, M
Evaluates the effects of skin color on the accuracy of oxygen saturation estimates.
Simulated Dataset for the Loaded vs. Unloaded UAV Classification Problem Using Deep Learning
Published in 2023 IEEE Sensors Applications Symposium (SAS), 2023, by Azad, H, Mehta, V, Bolic, M, Mantegh, I
This paper introduces the first published vision dataset for the loaded vs. unloaded UAV classification problem.
An Attention based Complex-valued Convolutional Autoencoder for GEO SA-Bi SAR Ship Target Refocusing
Published in SAS 2023 Conference, 2023, by M. Lian and M. Bolic
This paper is about deep learning approaches for radar image refocusing.
Air-to-Air Simulated Drone Dataset for AI-powered problems
Published in 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 2023, by Azad, H, Mehta, V, Dadboud, F, Bolic, M, Mantegh, I
This paper presents a comprehensive multi-view air-to-air simulated vision drone dataset.
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion
Published in 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, by Gazani, SH, Dadboud, F, Bolic, M, Mantegh, I, Najjaran, H
The paper combines aerial depth completion and object detection tasks in a multi-task network.
How Not to Make the Joint Extended Kalman Filter Fail with Unstructured Mechanistic Models
Published in Sensors, 2024, by Iglesias Jr, CF, Bolic, M
Addresses the problems in joint estimation of states and parameters with an extended Kalman filter.
An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems
Published in arXiv preprint arXiv:2409.08472, 2024, by Kaza, K, Mehta, V, Azad, H, Bolic, M, Mantegh, I
An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems published in arXiv preprint arXiv:2409.08472.
DroneRanger: Vision-Driven Deep Learning for Drone Distance Estimation
Published in 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024, by Azad, H, Mehta, V, Mantegh, I, Bolic, M
This paper introduces a novel approach to vision-based localization of drones using deep learning techniques.
UAV Object Ttracking with Modular Architecture
Published in University of Ottawa, 2024, by Nathaniel Bowness
Signal processing and machine learning for fusion of airborne camera and radar data.
Two Students: Enabling Uncertainty Quantification in Federated Learning Clients
Published in NeurIPS 2024 Workshop BDU, 2024, by C. Iglesias Jr, et al.
This paper is about novel Bayesian approaches for federated learning.
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025, 2025, by F. Dadboud, H. Azad, V. Mehta, M. Bolic, I. Mantegh
This paper is about studying drone detection under different types of domain shift.
A Deep Learning Approach for Drone Detection and Classification Using Radar and Camera Sensor Fusion
Published in 2023 IEEE Sensors Applications Symposium (SAS), 2023, by Mehta, V, Dadboud, F, Bolic, M, Mantegh, I
A Deep Learning Approach for Drone Detection and Classification Using Radar and Camera Sensor Fusion published in 2023 IEEE Sensors Applications Symposium (SAS).
Non-contact Heart Rate and Respiratory Rate Estimation from Videos of the Neck
Published in EMBC 2024, 2024, by Zhang T., et al.
This paper is about novel estimation of vital signs from videos.
Smartphone System for Heart Rate and Breathing Rate Estimation
Published in IEEE Open Journal of Instrumentation & Measurement, 2024, by A. Nayak, et al.
This paper is about using a smartphone placed on a chest to estimate heart rate and breathing rate.
Novel metrics for tracking blood pressure changes incontinuous cuffless blood pressure estimations
Published in Nature Scientific Reports, 2024, by He, S, Bolic, M
This paper introduces a new novel evaluation metric for cuffless blood pressure estimation by combining both distance and trend similarities.
Non-Contact Imaging of the Neck for Monitoring Cardiopulmonary Clinic Patients
Published in Biomedical Optics Express, 2024, by Davoodabadi Farahani, M.H., Bolic, M., Zhang, T., Zadorsky, T., Sabbagh, R.
This paper is about novel estimation of vital signs from motions of the pixels obtained from videos of the neck.
Analysis of the effect of CPAP on hemodynamics using clinical data and a theoretical model: CPAP therapy decreases cardiac output mechanically but increases it via afterload
Published in Sleep Medicine, 2024, by Yoshida, M, Dajani, HR, Ando, S, Shimizu, S, Bolic, M, Groza, V.
Analysis of the effect of CPAP on hemodynamics using clinical data and a theoretical model: CPAP therapy decreases cardiac output mechanically but increases it via afterload published in Sleep Medicine.
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.