Miodrag Bolic
Professor
Computer Engineering Undergraduate Associate Director
Interim Applied AI ELG Program Graduate Director
University of Ottawa, Ottawa, Canada
School of Electrical Engineering and Computer Science
mbolic [AT] uottawa [DOT] ca
Office: 613 562-5800 ext. 6224
Room: CBY A-616, 161 Louis Pasteur, Ottawa, Ontario, Canada, K1N 6N5
Research Groups
- Computational Analysis and Acceleration Research, Group (CARG) CARG GitHub
- Health Devices Research Group (HDRG), Health Devices GitHub
Curriculum Vitae
Dr. Bolic's
research is multidisciplinary and includes biomedical signal processing and
instrumentation, computer architectures, UAV detection and radio frequency
identification (RFID) systems. Dr. Bolic is currently
interested in addressing real-life problems through signal processing and
machine learning in biomedical and automotive applications. In biomedical applications,
he works with patient data in close collaboration with physicians and other
medical personnel while developing wearable as well as contactless solutions
with radars and thermal, depth and RGB cameras. In automotive applications, he
is focusing on counter-drone and inspection problems with UAVs, again focusing
on working with experimental field data. In these applications, his approach is
to model and simulate the problem in order to understand
it better.
His main recent research
contributions can be classified as follows:
Research
Biomedical signal processing and
instrumentation
HRRG Biomedical Lab Presentation
Signal processing and machine learning algorithms for UAV applications
CARG UAV Lab Presentation
New Book:
PERVASIVE CARDIOVASCULAR AND RESPIRATORY MONITORING DEVICES: Model-Based Design
- To downlowad all Matlab code and Simscape models, please go to Book GitHub Site.
- To see HTML version of the code, please go to Book's HTML Matlab Live Editor Files.
- To see publisher website or purchase the book, please go to Science Direct or Elsevier.
Teaching
Current teaching:
- ELG 5218 Uncertainty Evaluation in Engineering Measurements and Machine Learning
- BIOM5100/BMG5103/SYSC5302/ELG6321 Bioinstrumentation/Principles & Design of Advanced Biomedical Instrumentation
- CEG 4131 Computer architecture III From 2012
Teaching exoerience:
-
Undergraduate
- CEG4136 Computer Architecture III, fall 2004, 2005, 2006, 2007, 2008, 2010, 2011, 2012, 2013, 2014, 2015, 2016
- CEG3156 High-Level Computer System Design, winter 2005 to 2012, 2014, 2016
- ELG4177 Digital Signal Processing, winter 2007 to 2009, 2014, 2022
- CEG3155 Digital Design II, fall 2014, 2015
Research Associates, Ph.D. and M.Sc. Students
- Dr. Kesav Ram Kaza, Postdoctoral Fellow, Start date: July 2023
- Dr. Hamid Asad, Research associate, Start date: Sept 2021
- Shan He (Ph.D.), Start date: 2019
- Cristovao Iglesias (Ph.D.), Start date:2020
- Fardad Dadboud (Ph.D.) Start date:2021
- Mohamad Hosein Davoodabadi Farahani (M.Sc.) Start date: 2021
- Zixiong Han (Ph.D.), Start date: Sept 2021
- Meng Lian (Ph.D.), Start date: Jan 2023
- Tianyu Zhang (Ph.D.), Start date: Sept 2021
- Mehak Dhothar (M.Sc.) 2023-2025
- Daniel Charon (M.Sc.) 2022-2025
Alumni
Please see the list in Curriculum Vitae
- Keynote speech: Methods for UAV Detection, ICCIMS conference, July 2024.
- EMBC Workshop: Model-Based Design for Cardiovascular Monitoring Devices: Examples Using Oscillometric and Continuous Blood Pressure Methods, EMBC 2024.
- Invited speech, Contactless Cardiac and Respiratory Monitoring, University College London, UK, 2024.
- Tutorial: Quantifying Uncertainty in Measurement Devices, I2MTC conference, Glasgow, UK, 2024.
- Invited speech, Computer Architectures and Algorithms: From Filtering to Deep Learning, CMC Canada, Accelerating AI 2022.
- M. Yoshida, H.R. Dajani, S. Ando, S. Shimizu, M. Bolic, V. Groza, 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 reduction, Sleep Medicine, Elsevier, 2023.
- C. F. Iglesias Junior, M. Ristovski, M. Cuperlovic-Culf, M. Bolic, Adeno-Associated Viruses: Current Outlook and Challenges of Soft Sensing in Upstream Processing, MDPI Bioengineering, Special issue: Design, Optimization and Scale-Up of Industrial Bioprocess, 2023.
- C. Iglesias Jr, X. Xu, V. Mehta, M. Akassou, A. Venereo-Sanchez, N. Belacel, A.. Kamen and M. Bolic, Monitoring the Recombinant Adeno-Associated Virus Production by Extended Kalman Filter, Processes, MDPI, 2022.
- A. Fallatah, M. Bolic, M. MacPherson, D.J. La Russa, Monitoring respiratory motion during VMAT treatment delivery using ultra-wide band radar, Sensors, MDPI, 2022.
- S. He, Z. Han, C. Iglesias, V. Mehta, M. Bolic, A Real-Time Respiration Monitoring and Classification System using a Depth Camera and Radars, Frontiers in Physiology, section Physio-logging, 2022.
- F. Yang, S. He, S. Sadanand, A. Yusuf and M. Bolic, Contactless Measurement of Vital Signs Using Thermal and RGB Cameras: A Study of COVID 19-Related Health Monitoring, Sensors, MDPI, 2022
- M. Bolic, H.R. Dajani, M. Yoshida, V. Groza, Progress in the assessment of arterial stiffness, accepted for publication in IEEE Instrumentation and Measurement Magazine, 2020.
- Q. Zhai, M. Bolic, Y. Li, W. Cheng, and C. Liu, A Q-learning based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS, IEEE Access, vol. 9, pp. 72702-72711, 2021.
- H. Sadreazami, M. Bolic and S. Rajan, "Contactless Fall Detection using Time-Frequency Analysis and Convolutional Neural Network, accepted for publication in IEEE Transactions of Industrial Informatics, 2020.
- C. Iglesias, M. Bolic, Limitations of Joint and Dual Nonlinear Kalman Estimators in Low-Cost Bioprocess Monitoring, accepted for presentation at an ICML workshop, 2024.
- T. Zhang, et al., Non-Contact Heart Rate and Respiratory Rate Estimation from Videos of the Neck, accepted for presentation at the 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2024.
- H. Azad, V. Mehta, I. Mantegh, M. Bolic, DroneRanger: Vision-Driven Deep Learning for Drone Distance Estimation, 2024 International Conference on Unmanned Aircraft Systems (ICUAS).
- H. Azad, V. Mehta, F. Dadboud, M. Bolic, and I. Mantegh, Air-to-air simulated drone dataset for AI-powered problems, in 42th Digital Avionics Systems Conference (DASC), 2023.
- M. Bolic, Simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters, In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES, pages 64-71
- H. Sadreazami, A. Khoyani, M. Amini, S. Rajan and M. Bolic, Radar based Fall Detection with Imbalance Data Handling and Data Augmentation, 2023 IEEE Sensors Applications Symposium (SAS), 2023.
- H. Azad, V. Mehta, M. Bolic, I. Mantegh, Simulated Dataset for the Loaded vs. Unloaded UAV Classification Problem Using Deep Learning, 2023 IEEE Sensors Applications Symposium (SAS), 2023.
- V. Mehta, F. Dadboud, I. Mantegh, M. Bolic, A Deep Learning Approach for Drone Detection and Classification using Radar and Camera Sensor Fusion, 2023 IEEE Sensors Applications Symposium (SAS), 2023.
- M. Lian, M. Bolic, An Attention based Complex-valued Convolutional Autoencoder for GEO SA-Bi SAR Ship Target Refocusing, 2023 IEEE Sensors Applications Symposium (SAS), 2023.
- S. H. Gazani, F. Dadboud, M. Bolic, I. Mantegh, H. Najjaran, Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion, the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023.
- C. F. Iglesias Jr, R. Guo, P. Nucci, C. Miceli, M. Bolic, Automated Extraction of IoT Critical Objects from IoT Storylines, Requirements and User Stories via NLP, 10th IEEE Swiss Conference on Data Science (SDS2023).
- C. F. Iglesias Jr, P. Nucci, C. Miceli, M. Bolic, DEMDE: Decision Making Design based on Bayesian Network for Personalized Monitoring System, Fusion Conference, 2023.
- M. Vrbaski, M. Bolic, S. Majumdar, DRL: Scheduler for large-scale Critical Notification applications based on Deep Reinforcement Learning, FiCloud, 2022.
- M. Vrbaski, M. Bolic, S. Majumdar, Multi-objective optimization for cloud provisioning: A case study in large-scale microservice notification applications, FiCloud, 2022.
- A. Schumann, et al., Drone-vs-Bird Detection Challenge at IEEE AVSS2021, The 17th IEEE International Conference on Advanced Video and Signal-based Surveillance, 2021.
- F. Dadboud, V. Patel, V. Mehta, M. Bolic, I. Mantegh, Single-Stage UAV Detection and Classification with YOLOV5: Mosaic Data Augmentation and PANet, The 17th IEEE International Conference on Advanced Video and Signal-based Surveillance, 2021.
- C. Iglesias Jr, V. Mehta, A. Venereo-Sanchez, X. Xu, J. Robitaille, R. Voyer, R. Richard, N. Belacel, A. Kamen, M. Bolic, Handling Massive Proportion of Missing Labels in Multivariate Long-Term Time Series Forecasting, 10th International Conference on Mathematical Modeling in Physical Sciences, 2021.
- A. Boyer, R. Abielmona, M. Bolic, E. Petriu, Vessel Identification using Convolution Neural Network-based Hardware Accelerators, accepted for publication in CIVEMSA 2021.
- R. Hathurusinghe, I. Nejadgholi, M. Bolic, A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning, accepted for publication in PrivateNLP @ NAACL-HLT 2021.
- H.H. Olhosseiny, M. Mirzaloo, M. Bolic, H.R. Dajani, V. Groza, M. Yoshida, Identifying High Risk of Atherosclerosis Using Deep Learning and Ensemble Learning, accepted for publication at MeMea 2021.
- V. Mehta, M. Bolic, I. Mantegh, C. Vidal, "Detection and classification of drones and birds at a far distance using radar data," NATO Future Forces Forum, 2021.
- H. Sadreazami, D. Mitra, S. Rajan and M. Bolic, Compressed domain contactless fall incident detection using UWB radar signals, in Proc. IEEE Int. New Circuits and Systems Conference (NEWCAS), pp. 90-93, 2020.
- X. Zhang, V. Mehta, M. Bolic and I. Mantegh, Hybrid AI-enabled Method for UAS and Bird Detection and Classification, accepted for publication in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020.
- The Natural Sciences and Engineering Research Council of Canada (NSERC)
- National Research Council Canada
- Mitacs
- Ontario Centres of Innovation
- Private companies including Aerosystems International, Montreal; Nuraleve (Nordocs Inc.), Ottawa; Siemens, Germany; Biosign Inc., Toronto; Zodioptics Inc., Ottawa; Orica Inc.; Larus Technologies, Ottawa; Biopeak Technologies, Ottawa; YouI Labs, Ottawa; Amita Corporation, Ottawa; K & G Spectrum, Gatineau; Braebon Corporation, Ottawa; UCIC.io Toronto; IMRSV Data Labs; Ericsson, Ottawa.
Recent Publications and Talks:
Recent talks
Journal papers from 2020
Selected conference papers from 2020
For a full list, please check out my Google Scholar profile!