Pierre Boulanger Ph.D., P.Eng
Professor and CISCO Chair in Healthcare
Director of the Advanced Man-Machine Interface
University of Alberta
Athabasca Hall, Room 411
T6G 2E8, Canada
Who am I?
Hometown: Beautiful Quebec City
I am a man who loves life, music, fine food and most importantly, ideas
A Short CV
Dr. Boulanger cumulates more than 35 years of experience in 3D computer vision, rapid product development, and the applications of virtual reality systems to medicine and industrial manufacturing. Dr. Boulanger worked for 18 years at the National Research Council of Canada as a senior research officer where his primary research interest was in 3D computer vision, rapid product development, and virtualized reality systems. He now has a double appointment as a professor at the University of Alberta Department of Computing Science and at the Department of Radiology and Diagnostic Imaging. He is currently the Director of the Advanced Man Machine Interface Laboratory (AMMI) as well as the scientific Director of the SERVIER Virtual Cardiac Centre. In 2013, Dr. Boulanger was awarded the CISCO chair in healthcare solutions, a 10 years investment by CISCO systems in the development of new IT technologies for healthcare in Canada.
His main research topics are on the development of new techniques for tele-medicine, patient specific modeling using sensor fusion, and the application of tele-presence technologies to medical training, simulation, and collaborative diagnostics. His work has contributed to gain an international recognition in this field, publishing more than 330 scientific papers and collaborating with more than 20 universities, research labs, and industrial companies across the world. He is on the editorial board of two major academic journals. Dr. Boulanger is also on many international committees and frequently gives lectures on computational medicine and augmented reality systems. Dr. Boulanger is also the president of PROTEUS Consulting Inc. a Canadian-based consulting firm specialized in visual simulation applications. He is also the CTO of MedROAD Inc. dedicated to use advanced technology solutions to enhance the health and quality of life of our clientele worldwide.
3D Computer Vision
Virtualized Reality Systems
Collaborative Virtual Environments
Sensor-Based Geometric Modeling
Current and Past Projects
The most recent publication list can be found at: Publications
Recent Committee Work
Director of the Advanced Man-Machine Interface Laboratory
Scientific Director of the SERVIER Virtual Heart Center
Member of the Scientific Advisory Board of CRIM
General Conference Chair of AI/GI/CRV 2017
Member of the editorial board of the Journal of Computer Science and Informatics
Member of the editorial board of the Journal of Radiology
Review Editor of Frontier in ICT Computer Image Analysis
Member of the CIHR Reviewers
Member of the FQRNT Selection Committee
Chair of Smart Graphics 2010
Program Committee of MVA and ICPR 2013-2016
Program Committee of 3DIMPVT 2013-2016
CISCO Chair in Healthcare Solution
SERVIER University Collaboration Grants
NSERC Discovery Grant
NSERC Equipment Grant
CIHR eHealth Innovations Partnership Program Grant
CIHR Collaborative Health Research Projects Grant
I will be teaching Introduction to Virtual/Augmented Reality and Telepresence as well as Fundamentals of Medical Imaging in the fall term and Introduction to GPU Programming during the winter term. I will be also teaching a special introductory course on Quantum Computing in Winter 2019.
This course is an introduction to computer graphics concentrating on two- and three-dimensional graphics and interactive techniques. Course topics include fundamental concepts of raster graphics, simple output primitives, windowing, clipping and 2D transformations, 3D transformations, modeling and viewing, hidden-line and hidden-surface removal, illumination and shading models, morphing and warping, texture mapping, ray-tracing, radiosity, and introduction to animation.
This course is an introductory to basic principles and algorithms used in current technologies of multimedia systems. One of the goals of this course is to give the student hands-on experience in issues relating to multimedia data representation, compression, processing, and retrieval. In addition, the course address issues relating to sound transmission, music streaming, 2-D and 3-D graphics, image and video. It also explores human perceptual issues associated to multimedia technologies.
Among the greatest scientific challenges of the 21st century, will be to effectively understand and make use of the vast amount of information being produced. By its very nature, visualization addresses the challenges created by such excess: too many data points, too many variables, too many time steps, and too many potential explanations. Thus, as we work to tame the accelerating information explosion and employ it to advance scientific, biomedical, and engineering research, visualization will be among our most important tools. This course aims at introducing scientists, engineers, as well as practitioners in medicine the basic fundamentals of data visualization.
This graduate-level course is an introduction to the field of haptics focusing on tele-operated and virtual environments that are displayed through the sense of touch. Topics covered include human haptic sensing and control, design of haptic interfaces (tactile and force), haptics for teleoperation, haptic rendering and modeling of virtual environments, control and stability issues, and medical applications such as tele-surgery and surgical simulation. This course is addressed to students with interests in robotics, virtual reality, or computer-integrated surgical systems.
This course presents the latest research results in point-based computer graphics. After an overview of the key research issues, 3D scanning devices are discussed, and novel concepts for mathematical representation of point-sampled shapes are presented. The course describes methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. It also presents efficient data structures for hierarchical rendering on modern graphics processors and summarizes methods for geometric processing, filtering, re-sampling of point models, and physical modeling.
In recent years, sensors and algorithms for three-dimensional (3D) imaging and modeling of real objects have received significant attention, not only in the computer vision and graphics research communities, but are also increasingly being used as tools for a variety of applications in medicine, manufacturing, archeology, and any field requiring 3D modeling of real environments. The main goal of this course is to present a general overview of digital 3D imaging technology from photogrammetry to tomographic systems and the various modeling techniques necessary to create 3D models of large and small structures that are compatible with various manufacturing and medical applications.
This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flow-graph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; Wavelet Transform; Wiener and Kalman Filters, and various applications. This course qualifies as a breadth requirement in theory.
This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flow-graph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multivariate techniques; Wavelet Transform; Cepstral analysis, Wiener and Kalman Filters, and various applications. We also discuss and analyze the GPU implementations of many of these algorithms.
The course will first review two dimensional signal processing theory after reviewing one dimensional signal processing and sampling. We will then study four general medical imaging modalities: projection radiography, computed tomography, magnetic resonance imaging, and ultrasound. The goal will be to understand these modalities in terms familiar to engineers and physicists. Flexibility exists for the instructor to vary the depth and penetration of each topic area after determining the general background and experience of the students.
The course deals with moral, legal and social issues of computer technology. Many ethical issues that did not exist before are now omnipresent. For example, one can get our news from many free, online sources but their existence is threatening the existence of the newspapers that employ the reporters who gather the news. Social media are a great way to interact but they can threaten personal privacy. This course explores these issues and more.
This course introduces students to topics in human computer interaction, focusing on human capabilities and limitations, interaction design, current and future interaction systems and devices, and methods for evaluating interaction systems.
This course introduces how to program heterogeneous parallel computing systems such as GPUs. The course covers: CUDA language, functionality and maintainability of GPU, how to deal with scalability, portability issues, technical subjects, parallel programming API, tools and techniques, principles and patterns of parallel algorithms, processor architecture features and constraints.
Virtual reality and augmented reality can provide an immersive environment where many scenarios can be simulated. For example, manufacturing and engineering tasks, medical planning and training, art and design, rehabilitation, Physics, Biology and Chemistry concept exploration and many others can benefit from a virtual reality environment. This course focuses on the challenges of setting up a user friendly virtual reality scene where users can interact in an intuitive and natural way. The use of interactive techniques and sensor-based devices, such as haptic and head-mount display, in creating a virtual environment for scientific analysis, visualization exploration and Tele-presence, as well as how mobile users can participate in these applications, will be discussed.
This course is an introduction to theory and applications of quantum information and quantum computation, from the perspective of computer science. The course will cover classical information theory, compression of quantum information, quantum entanglement, efficient quantum algorithms, quantum error-correcting codes, fault-tolerant quantum computation, and quantum machine learning. The course will also cover physical implementations of quantum computation into real quantum computers and their programming languages using real-world examples utilizing a state-of-the-art quantum technology through the IBM Q Experience, Microsoft Quantum Development Kit, and D-Wave .
Post-docs and Visiting Professors
Fateme Esfandiarpour, Visiting professor in medicine from Iran, Analysis of Patellofemoral Condition Using Advanced Imaging
Nathaniel Rossol, Mitacs postdoc, Improved Human Movement Tracking and Prediction in High-Occlusion Multiuser
Virtual Reality Environments
Rositsa Bogdanova, PhD Medicine, Three-Dimensional Eye Tracking in a Surgical Scenario, in collaboration with Dr. White, Dept. Surgery, UofA.
Ray Yang, PhD Medical Physics, CUDA-based Dose Calculations for Radiation Therapy Dosimetry, in collaboration with Dr. Fallone, Dept. Medical Physics, Cross Cancer Institute
Hong Zu Li, PhD CS, Automated Interpretation of 12 leads ECG Using Deep Learning, Dept. Computing Science, UofA.
Thea Wang, PhD CS, Application of Proxy Haptics to Medical Training
Shimanti Ghosh, PhD CS, Segmentation of Bones and Muscles Motion in MRI Images Sequences Using CNN
Deepa Krishnaswamy, PhD Medicine, A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography
Mike Feist, MSc, Multiview 3D Sensing
Ian Watts, MSc, Augmented Reality Using Direct Patient Projection
Mina Abdi Oskouie, MSc, Proxy Haptic to Solve the Problem Touch in VR
Sadegh Charmchi, MSc, Cardiac MRI Segmentation Using Deep Learning
Mahdi Rahmani Hanzaki, MSc, Virtualized Reality Guidance for Surgical Training
Pouneh Gorji, MSc, Anomaly Detection in 12 Leads ECG Using Deep LSTM
Melissa Woghiren, MSc, Stroke Detection Using Eye Tracking
Emilie Robertson, MSc, Virtual surgical planning in cranial vault reconstruction for infants with unilateral coronal synostosis
Last Update August 2018