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 30 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 280 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.
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 Steering Committee of Smart Graphics Conference
Review Editor of Frontier In ICT Computer Image Analysis
Member of TRLabs
Member of the Department of Computing Science hiring committee
Member of the CIHR-CHRP Selection Committee
Member of the Killam Prize Selection Committee
Member of the FQRNT Selection Committee
Alberta Innovates Graduate Student Scholarship Review Committee
Chair of Smart Graphics 2010
Program Committee of MVA and ICPR 2013-15
Program Committee of 3DIMPVT 2013-15
CISCO Chair in Healthcare Solution
Royal Alexandra Hospital (CAMIS) Grant
SERVIER University Collaboration Grants
NSERC Discovery Grant
NSERC Equipment Grant
CIHR STAIR Grant
I am currently teaching Introduction to Human Computer Interface HCI2015. The other courses I teach are:
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 graduate course introduces students to Virtual Reality from a new viewpoint called Virtualized Reality. We discuss the nuts and bolts of this rapidly growing field from display systems, software tools (VRML, Performer, and Java 3D), haptic rendering, sensor based model creation, and telepresence. This course is addressed to students with a background in graphics and computer vision.
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.
The computing performance of a PCs graphics chip (GPU) is now greater than that of the CPU. This course covers recent developments in graphics architectures and programming systems, and explores related topics from general-purpose parallel computation on GPU. The course also examines the connection between the algorithms used for real-time graphics, and the architectures that are chosen to support them.
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 course is intended to give students an understanding of multi-core architectures and parallel programming models. Student will get an appreciation of the problems and solutions researchers have identified in the field of multi-cores. Also, students will get experience in writing critical paper reviews and in presenting research. Finally, students will get a thorough understanding of how to write parallel programs for current multi-core architectures.
Being a complementary course to software engineering, we aim at educating the students to acquire a user-centered approach to software design. This implies that students must first know how humans interact with physical and information environments, and how to design software with human's information needs and their cognitive capacities in mind. In this course, we will first study some basic principles on how humans interact with computers, and then we will focus on the user-centered design cycle: user task analysis, task models, graphical interface design, prototyping, and evaluation. In addition, this course introduces several evaluation methods which help software designers discover usability problems in interface design.
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.
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 explore these issues and more.
Post-docs and Visiting Professors
Kevin Chan, Postdoc, Microwave Tomography, in collaboration of Prof. Rambabu Karumudi, ECE, UofA.
Chiheb Trabelsi, PhD, Anomaly Detection on ECG Using Deep Learning Networks, in collaboration with Prof. Christopher Pal, Polytechnic Montreal.
Jenny Cifuentes, PhD, Objective Assessment of Surgical Skills, in collaboration with Prof. Prieto, National University of Colombia.
Idanis Diaz, PhD, Tracking Brain Tumor Evolution Using Deformable Atlases. In collaboration with Prof. Greiner from the UofA Computing Science.
Amir Ali Sharifi, PhD, Virtual Heart and Vascular Endoscopy Using Ultrasound, CT, and MRI Data. In collaboration with Dr. Noga, Dept. Radiology and Diagnostic Imaging, UofA.
Qiong (Emily) Wu, PhD, Automatic Tagging for e-commerce.
Nathanial Maeda, PhD, Chiropractic Simulator, in collaboration with Prof. Jason Carey, Mechanical Engineering, UofA.
Usman Aziz, MSc, Free-viewpoint TV over IPTV Using Real-time Mosaicking, in collaboration with Prof. Nilanjan Ray, CS, UofA.
Last Update January 2015