Faculty
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The McMaster School of Computational Science and Engineering has approximately 50 faculty members drawn from a wide range of disciplines. Nearly 50 per cent of these faculty members hold prestigious Canada Research Chair, NSERC Industrial Chair or SHARCNET Chair appointments.
Computational Physical Sciences
| Name | Department | Research Interests | |
|---|---|---|---|
| 1 | Dr. Paul Ayers | Chemistry | Density functional theory; computational modelling of enzymes |
| 2 | Dr. Nabil Bassim | Materials Science & Engineering | Structure-Processing-Property Relationships, Electron Microscopy, Focused Ion Beam Microscopy, Nanomaterials, 2-D materials, Image Processing, Beam-Sample interactions, Structural Materials (Concrete, Metallurgical Alloys), Nanofabrication |
| 3 | Dr. Blaise Bourdin | Mathematics & Statistics | Modelling and computational aspects of failure of materials and structures. Optimal design problems |
| 4 | Dr. Samir Chidiac | Civil Engineering | Durability/service life modelling of comentitious and polymeric materials, FEA/heat and Mass Transport process, Stone masonry, Buildings Science |
| 5 | Dr. Hugh Couchman | Physics & Astronomy | Numerical simulation of the formation and evolution of cosmic structure |
| 6 | Dr. Timothy Field | Electrical & Computer Engineering | Stochastic differential equation and random field theory applied to waves in random media: electromagnetic scattering and propagation; spin dynamics and relaxation, magnetic resonance physics (NMR / EPR); stochastic volatility modelling for inference problems (in a diffusion / Ito process framework) |
| 7 | Dr. Franya Franek | Computing & Software | String Algorithms and Pattern Matching, Combinatorics and Combinatorial Algorithms, Memory management in Programming, Artificial Intelligence |
| 8 | Dr. Matheus Grasselli | Mathematics & Statistics | Financial Mathematics - the use of modern mathematical tools from stochastic analysis, probability theory and statistics to understand, model and make decisions in Financial Markets |
| 9 | Dr. Peijun Guo | Civil Engineering | Geomechanics and geotechnical engineering; Numerical modelling of complex geotechnical structures; Advanced experimental study of soil behaviour |
| 10 | Dr. Paul Higgs | Physics & Astronomy | Molecular Evolution and Phylogenetic Methods, RNA Secondary Structure, The OGRe Database of Mitochondrial Genomes, Food Webs and Ecological Communities, Polymers and Soft Condensed Matter, Population Genetics and Mathematical Biology |
| 11 | Dr. Nicholas Kevlahan | Mathematics & Statistics | Theory and computation of fluid turbulence, with a special interest in Adaptive Numerical Methods based on the Wavelet Transform |
| 12 | Dr. John Luxat | Engineering Physics | Nuclear Safety Analysis, Experimental Studies in Nuclear Safety Thermalhydraulics, Theoretical Modelling Studies in Nuclear Safety Thermalhydraulics |
| 13 | Dr. Ned Nedialkov | Computing & Software | Numerical Methods for Ordinary Differential Equations (ODEs); Differential Algebraic Equations (DAEs); Validated Numerical Methods; Interval Methods for ODEs; Mathematical Software; Hybrid Dynamic Systems; Automatic Differentiation |
| 14 | Dr. Michael Noseworthy | Electrical & Computer Engineering | Medical imaging physics; magnetic resonance imaging (MRI); multinuclear spectroscopy (MNS); machine learning; brain; muscle; cancer |
| 15 | Dr. Dmitry Pelinovsky | Mathematics & Statistics | Existence and stability of solitons in nonlinear dispersive wave equations, modeling of photonic crystals and Bose-Einstein condensates, analysis of discrete lattices |
| 16 | Dr. Bartosz Protas | Mathematics & Statistics | Integration of optimization and control theory with computational fluid dynamics |
| 17 | Dr. Sanzheng Qiao | Computing & Software | Numerical linear algebra and applications, Scientific computing, Numerical software |
| 18 | Dr. An-Chang Shi | Physics & Astronomy | Theoretical study of self-assembly and phase transitions in polymeric systems, self-assembly and morphology of block copolymer and surfactant aggregates in solutions, statistical mechanics of conformation of macromolecules, dynamics of reactive polymeric systems, theory of polymerization kinetics |
| 19 | Dr. Shahram Shirani | Electrical & Computer Engineering | Multimedia computing systems, signal compression for multimedia communications, multimedia hardware architectures, image and video processing, ultrasound imaging |
| 20 | Dr. Spencer Smith | Computing & Software | Computer Aided Geometric Design, Dimensional Metrology, Industrial Geometry Inspection, Manufacturing Automation, Computer Graphics and Visualization including Haptics |
| 21 | Dr. Bill Smyth | Computing & Software | Combinatorial Algorithms, especially on strings & graphs; Combinatorics on Words and Applications, especially to Bioinformatics, Data Compression & Data Mining |
| 22 | Dr. Erik Sorensen | Physics & Astronomy | Theory and simulation of quantum materials. In particular low dimensional strongly correlated systems, such as frustrated magnets and mesoscopic electronic systems |
| 23 | Dr. Seshasai Srinivasan | School of Engineering Practice & Technology | Computational fluid dynamics, Computational modeling focused in the areas of lithium ion batteries, biosensors, steel design, thermodiffusive flows, food rheology, and IC engines. Numerical optimization and algorithm design. |
| 24 | Dr. Stephen Tullis | Mechanical Engineering | Numerical modelling of turbulent flows and combustion |
| 25 | Dr. James Wadsley | Physics & Astronomy | Theoretical astrophysics - the formation and evolution of galaxies and the formation of gas planets |
| 26 | Dr. Xiaolin Wu | Electrical & Computer Engineering | Algorithms for multimedia signal processing and communications, and visual computing |
| 27 | Dr. Li Xi | Chemical Engineering | Soft matter and complex fluids, polymer materials, non-Newtonian fluids, rheology, turbulence, computational fluid dynamics, molecular modeling, multiscale simulations |
Computational Optimization, Design and Control
| Name | Department | Research Interests | |
|---|---|---|---|
| 1 | Dr. Christopher Anand | Computing & Software | Magnetic Resonance Imaging, High Performance Computing, Optimization, Software Engineering |
| 2 | Dr. Narayanaswamy Balakrishnan | Mathematics & Statistics | Order statistics, distribution theory |
| 3 | Dr. Hans Boden | Mathematics & Statistics | Gauge theory and low-dimensional topology; Knots, links, braids and their invariants; Moduli spaces of vector bundles over Riemann surfaces |
| 4 | Dr. Gary Bone | Mechanical Engineering | Robotics, Computer-Aided Manufacturing, Manufacturing Automation |
| 5 | Dr. Blaise Bourdin | Mathematics & Statistics | Modelling and computational aspects of failure of materials and structures. Optimal design problems |
| 6 | Dr. Fei Chiang | Computing & Software | Data management, Databases, Data quality, Data privacy, Text mining |
| 7 | Dr. Samir Chidiac | Civil Engineering | Durability/service life modelling of comentitious and polymeric materials, FEA/heat and Mass Transport process, Stone masonry, Buildings Science |
| 8 | Dr. Antoine Deza | Computing & Software | Combinatorial and Continuous Optimization, Discrete and Computational Geometry, Enumeration Algorithms |
| 9 | Dr. Wael El-Dakhakhni | Civil Engineering | Systemic Risk Modeling and Simulation, Resilience Evaluation of Interdependent Systems, Cascading Effects Prediction, Multivariate Data Analysis |
| 10 | Dr. Mohamed Ezzeldin | Civil Engineering | Data analytics, Predictive models, Resilience of infrastructure systems, Simulation of complex systems under extreme events, Text mining |
| 11 | Dr. Matheus Grasselli | Mathematics & Statistics | Financial Mathematics - the use of modern mathematical tools from stochastic analysis, probability theory and statistics to understand, model and make decisions in Financial Markets |
| 12 | Dr. Elkafi Hassini | DeGroote School of Business | Data-driven optimization and supply chain analytics |
| 13 | Dr. Kai Huang | DeGroote School of Business | Large-scale optimization arising in operations management, computational approaches for stochastic optimization |
| 14 | Dr. George Karakostas | Computing & Software | Design and analysis of algorithms (in particular approximation algorithms for hard problems); Computational Complexity; Application of theoretical results to practice. Game-theoretical study of large data and communication networks |
| 15 | Dr. Zahra Motamed Keshavarz | Mechanical Engineering | Medical devices, Medical imaging; Diagnostic, Intervention-predictive and intervention-optimization tools |
| 16 | Dr. Thia Kirubarajan | Electrical & Computer Engineering | Estimation, target tracking, information fusion, signal processing, communications, sensor resource management, system diagnosis and fault detection |
| 17 | Dr. Vladimir Mahalec | Chemical Engineering | Software engineering and application design, development, and implementation (advanced process control, process engineering and design, planning, scheduling, plant optimization, feedstock selection, trading and logistics). Expertise in value chain optimization in petroleum, petrochemicals, and other process industries |
| 18 | Dr. Hamidreza Mahyar | School of Engineering Practice & Technology | Machine Learning; Network Science; Natural Language Processing; Graph Neural Networks; AI Drug Discovery; Recommendation Systems |
| 19 | Dr. Ned Nedialkov | Computing & Software | Numerical Methods for Ordinary Differential Equations (ODEs); Differential Algebraic Equations (DAEs); Validated Numerical Methods; Interval Methods for ODEs; Mathematical Software; Hybrid Dynamic Systems; Automatic Differentiation |
| 20 | Dr. Christopher Swartz | Chemical Engineering | Model-based control, integration of plant and control system design, optimization, mathematical modeling, numerical computation |
| 21 | Dr. Sash Vaid | DeGroote School of Business | Deep learning models; Bayesian neural network; Interdisciplinarity; Digital economy; Digital marketing & sales; Marketing & finance interface; Innovation |
| 22 | Dr. Manish Verma | DeGroote School of Business | Developing analytical approaches (optimization and solution algorithm) for multimodal network design of transportation systems; risk assessment and management of dangerous goods; disruption and resilience issues in supply chain management. |
| 23 | Dr. Manaf Zargoush | DeGroote School of Business | Aged health care, artificial intelligence and image processing, optimization |
| 24 | Dr. Yun Zhou | DeGroote School of Business | Optimization models and methods in revenue management and inventory management, Queueing theory and models in service operations |
Computational Biosciences
| Name | Department | Research Interests | |
|---|---|---|---|
| 1 | Dr. Christopher Anand | Computing & Software | Magnetic Resonance Imaging, High Performance Computing, Optimization, Software Engineering |
| 2 | Dr. Paul Ayers | Chemistry | Density functional theory; computational modelling of enzymes |
| 3 | Dr. Suzanna Becker | Psychology, Neuroscience & Behaviour | Computational neuroscience; neural network models of perceptual and cognitive processes including cortical and hippocampal memory systems, hippocampal pathology in stress-related psychiatric disorders, the function of hippocampal neurogenesis, spatial memory and navigation, reinforcement learning, plasticity in cortical systems, and cortical reorganization after peripheral damage |
| 4 | Dr. Patrick Bennett | Psychology, Neuroscience & Behaviour | Visual perception, pattern vision, psychophysics, neural plasticity and development, aging, evoked potentials and EEG, neuroimaging |
| 5 | Dr. Ben Bolker | Mathematics & Statistics; Biology | Dynamics of ecological and evolutionary systems; analytical, computational, and statistical methods. Particular interests in spatial population dynamics of competitive and host-pathogen systems |
| 6 | Dr. Jonathan Dushoff | Biology | Theoretical, statistical and computational approaches to understanding the evolution and spread of infectious diseases |
| 7 | Dr. Ian Dworkin | Biology | Studying phenotypic evolution using multivariate approaches. Multi-trait genome wide association studies, empirical and methods development. Computational Genomic analysis. meta-analyses in evolution and genetics. Agent based modeling to test evolutionary questions. |
| 8 | Dr. David Earn | Mathematics & Statistics | Epidemiology, Immunization Strategies, Ecology, Conservation, Animal Behaviour |
| 9 | Dr. Franya Franek | Computing & Software | String Algorithms and Pattern Matching, Combinatorics and Combinatorial Algorithms, Memory management in Programming, Artificial Intelligence |
| 10 | Dr. Brian Golding | Biology | Frequency and properties of laterally transferred genes, the properties of protein repeats and the determinants of evolutionary rates of change |
| 11 | Dr. Pratheepa Jeganathan | Mathematics & Statistics | Multi-domain statistical methods; Resampling methods for dependent data; Probabilistic modeling; Approximation theory in statistics |
| 12 | Dr. Alexander Jeremic | Electrical & Computer Engineering | Biomedical signal processing, medical imaging, biochemical sensing and environmental monitoring, array signal processing |
| 13 | Dr. Paul McNicholas | Mathematics & Statistics | Big data; bioinformatics; classification; clustering; computational statistics; data science; discriminant analysis; high-dimensional data; high-performance computing; parallel computing; statistical learning; statistics |
| 14 | Dr. David Meyre | Clinical Epidemiology & Biostatistics | Gene identification, Epigenetics, Evolutionary genetics, System biology |
| 15 | Dr. Bruce Milliken | Psychology, Neuroscience & Behaviour | Attention and visual perception |
| 16 | Dr. Kathy Murphy | Psychology, Neuroscience & Behaviour | Development of vision and the areas of the brain that process visual information. The development of vision and the visual system. Visual and neural changes associated with lazy-eye (amblyopia). We use a variety of neurobiological, computational, and psychophysics techniques in our experiments. Development of the visual cortex from new perspectives, searching for, and finding clues that help us to understand how vision develops |
| 17 | Dr. Michael Noseworthy | Electrical & Computer Engineering | Medical imaging physics; magnetic resonance imaging (MRI); multinuclear spectroscopy (MNS); machine learning; brain; muscle; cancer |
| 18 | Dr. Allison Sekuler | Psychology, Neuroscience & Behaviour | Cognitive neuroscience, visual perception, perceptual organization, face and object recognition,motion perception, aging and vision, neuroimaging |
| 19 | Dr. Shahram Shirani | Electrical & Computer Engineering | Multimedia computing systems, signal compression for multimedia communications, multimedia hardware architectures, image and video processing, ultrasound imaging |
| 20 | Dr. Bill Smyth | Computing & Software | Combinatorial Algorithms, especially on strings & graphs; Combinatorics on Words and Applications, especially to Bioinformatics, Data Compression & Data Mining |
| 21 | Dr. Ranil Sonnadara | Surgery | Auditory Perception, Music Cognition, Medical Education, Motor Learning, Skill Acquisition, EEG, Neuroimaging, Motion Capture |
| 22 | Dr. Jennifer Stearns | Medicine | Microbial community maturation within the context of a maturing host environment. Early infant nutrition choices on bacterial succession. Microbial contribution to early life origins of disease. |
| 23 | Dr. Jonathon Stone | Biology | Computational biological research at multiple hierarchical levels |
| 24 | Dr. Gail Wolkowicz | Mathematics & Statistics | Theoretical and computational approaches to population dynamics using the qualitative theory of differential equations including bifurcation theory, with applications to ecology, epidemiology, and bioreactors |
| 25 | Dr. Xiaolin Wu | Electrical & Computer Engineering | Algorithms for multimedia signal processing and communications, and visual computing |
| 26 | Dr. Boris Zhorov | Biochemistry & Biomedical Sciences | Molecular modeling of ion channels with drugs and toxins. We use program ZMM that employs the method of Monte Carlo-energy minimization in the space of generalized coordinates |
