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Spencer SmithView profile

Associate Professor

• Software Engineering
• Scientific Computing
• Requirements Analysis
• +5 more

Dr. Spencer Smith is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He serves as the Undergraduate Advisor for Software Engineering and teaches courses such as Scientific Computing, Software Design, and Capstone Projects. Education: Ph.D. in Engineering (2001), McMaster University M.Eng. (1997), McMaster University B.Eng. in Computer Systems (1995), McMaster University Research Interests: Software Engineering Principles for Scientific Computing Assurance Cases for Research Software Numerical Algorithms in Engineering Problems Finite Element Method Applications Medical Imaging and Computational Medicine His work emphasizes improving software sustainability and reliability through systematic documentation, requirements analysis, and generative approaches. Notable projects include the Drasil framework for literate scientific software and the Mesh Generation Toolbox. Advising & Collaboration: He advises numerous graduate students and oversees research groups like the Software Quality Research Lab (SQRL) and the Algorithms Research Group (ARG). His collaborations span computational medicine, seismology, and nuclear safety software certification. Labs/Teams: Drasil Framework Mesh Generation Toolbox (MGT) Virtual Material Testing Laboratory

• Programming Languages
• Concurrency
• Embedded Systems
• +3 more

Dr. Emil Sekerinski is a Professor in the Department of Computing and Software at McMaster University, located at ITB 215. He serves as the Undergraduate Advisor for Computer Science (Jan 1, 2025 - June 30, 2025). His research focuses on Programming Logic , Concurrency , Embedded Systems , and Programming Languages , with specialization in Computer Systems, Software Quality, and Computation Theories. He is affiliated with the Digital & Smart Systems research cluster. Recent academic contributions include advanced compiler design, concurrent system design, and formal specification techniques. His work spans theoretical aspects of computing, such as program algebra and automata, alongside practical applications in real-time monitoring and wireless sensor networks. He actively contributes to academic communities, serving as a conference co-chair (FMTea'24) and program committee member (ICTAC'24, iFM'24). Teaching highlights include courses like CAS 781 Advanced Topics: Advanced Compiler Design and Optimization (Fall 2025) and SFWR ENG 3BB4 Concurrent System Design (Fall 2024). His publications emphasize concurrency, formal methods, and algorithm optimization, bridging theoretical foundations with real-world system implementations.

Shahrukh AtharView profile

Assistant Professor

• Image and Video Processing
• Perceptual Image Quality Assessment
• Digital Signal Processing
• +3 more

Dr. Shahrukh Athar is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on perceptual image quality assessment (IQA), degraded-reference and multiply-distorted image analysis, and digital signal/video processing. He also emphasizes educational development, particularly active learning strategies and pedagogical training for colleagues and graduate students. He teaches courses such as COMPENG 2DX3 (Microprocessor Systems Project), COMPENG 2SH4 (Principles of Programming), ELECENG 2CI4 (Introduction to Electrical Engineering), and ELECENG 3CL4 (Introduction to Control Systems). His work bridges machine learning applications in IQA with practical educational methodologies. Dr. Athar's research includes developing robust no-reference IQA algorithms using deep learning and constructing large-scale datasets. He has published extensively on topics like image debanding, blind quality assessment, and FPGA-based signal processing implementations. His LinkedIn and other professional profiles highlight interdisciplinary contributions in both technical and educational domains.

Ashok KrishnamurthyView profile

Associate Professor

• Mathematical Modeling
• Infectious Disease Epidemiology
• Bayesian Statistics
• +3 more

Ashok Krishnamurthy is an Associate Professor at Mount Royal University's Department of Mathematics & Computing, within the Faculty of Science and Technology. His research focuses on mathematical modeling of infectious diseases (e.g., Ebola, Measles, COVID-19) and Bayesian data assimilation. He emphasizes spatial and temporal tracking of disease outbreaks and has led projects in Congo, Nigeria, the Czech Republic, and historical England/Wales. PhD (2009): University of Louisville MSc (Mathematics) (2002): University of Windsor MSc (Statistics) (2000): University of Madras BSc (Statistics) (1998): University of Madras Dr. Krishnamurthy has secured multiple grants as Principal Investigator, including $5000 Internal Research Grant Funds for Ebola and measles tracking projects (2012–2020). He actively promotes mathematics, statistics, data science, and computing through undergraduate research assistantships, fostering high-impact learning opportunities. Notable awards include the 2020 MRU Undergraduate Research Supervision Award and a 2020 teaching excellence nomination. 2019–2020: Spatial tracking of Ebola in Congo 2015–2017: Redundant constraints detection in mathematical programming 2012–2013: Bayesian tracking of epidemics His work integrates interdisciplinary approaches, such as web-based dashboards for disease tracking and nature-based healthcare solutions. He teaches courses ranging from calculus to statistical data analysis and has presented research at provincial/national conferences.

• Continuum Theory
• Geometric Topology
• Topological Dynamics
• +3 more

Logan C. Hoehn is an Associate Professor in the Department of Computer Science and Mathematics at Nipissing University. He holds a PhD from the University of Toronto (thesis available). His research focuses on continuum theory, geometric topology, and topological dynamics. Key areas include the study of plane embeddings, hereditarily indecomposable continua, fixed-point-free maps, and isotopies in metric spaces. His work intersects with set-theoretic topology, metric geometry, and low-dimensional topology. Recent publications (2023–2024) explore accessibility properties of arc-like continua, simplicial inverse systems, and plane embeddings. Notable contributions include a complete classification of homogeneous plane continua and advancements in shortest path parameterization in arbitrary domains. Hoehn has presented at conferences such as STDC24, STDC23, and the Summer Topology Conference. He develops interactive tools for linear transformations, puzzle games, and complex function visualization. His teaching includes advanced courses like Singular Homology (MATH 5067).

• Quantum Chemistry
• Theoretical and Computational Chemistry
• Density Functional Theory
• +5 more

Paul Ayers is a Professor in the Department of Chemistry & Chemical Biology at McMaster University, Canada. He serves as a Canada Research Chair and is a leading figure in theoretical and computational chemistry. His research focuses on density functional theory (DFT), quantum chemistry, and the application of machine learning to chemical problems. He has developed influential software tools like the HORTON library for computational chemistry. His work spans topics such as electron localization/delocalization matrices, conceptual DFT, and molecular reactivity. Ayers' studies often bridge fundamental theory with practical applications, including drug design, material science, and environmental chemistry. He collaborates on interdisciplinary projects, such as predicting molecular properties using deep learning and optimizing force fields for simulations. Ayers has authored over 200 peer-reviewed articles, with recent contributions emphasizing software development (e.g., AtomDB, PyCI), reactivity descriptors, and quantum mechanical modeling. His team's work on hydrogen bond detection via molecular trajectory analysis and resummation strategies for perturbation series demonstrates his commitment to advancing computational methods. Key Awards: Canada Research Chair (McMaster) Labs/Teams: Quantum Theory Group, Computational Chemistry Lab, HORTON Development Team

Jamshid BeheshtiView profile

Professor

• Information Behavior
• Bibliometrics
• Altmetrics
• +5 more

Jamshid Beheshti is a Professor at McGill University's School of Information Studies, with over 30 years of academic experience. He has held roles including Director of the School (1998–2004), Interim Dean of the Faculty of Education (2007–2008), and Associate Dean (2004–2009). His research focuses on children's information behavior, bibliometrics, and human-computer interaction. Beheshti has secured over $5 million in research funding and supervised 12 PhD students. He is also a former Visiting Professor at Kuwait University and has collaborated with institutions globally. Education: PhD, School of Library and Information Science, University of Western Ontario MLS, School of Library and Information Science, University of Western Ontario BA (History), Simon Fraser University Diploma (Mining Technology), British Columbia Institute of Technology Research Interests: Beheshti's work explores information behavior in children and millennials, design of web portals for youth, virtual environments in education, and bibliometric analysis. He emphasizes interdisciplinary approaches, such as integrating cognitive science and technology design. Grants & Projects: Major grants include SSHRC-funded studies on metaliteracy, children's web portals, and virtual learning environments. Notable projects include the Treasures of Islam CD-ROM and the Virtuel Age Canada initiative. Labs & Teams: Affiliated with labs like the Accessible Computing Technology Research Group and Multimodal Interaction Lab, focusing on inclusive design and educational technology.

Teresa DobsonView profile

Professor

• Digital Literacy
• Literary Education
• Critical Literacies
• +4 more

Dr. Teresa Dobson is a Professor in the Department of Language and Literacy Education at the University of British Columbia's Faculty of Education. Her research bridges literary education, digital literacy, and digital humanities, with a focus on developing innovative browsing interfaces for text visualization through interdisciplinary collaborations. Her research explores critical digital literacies, multimodal storytelling, and pedagogical applications of digital tools. Primary interests include digital research methodologies, online pedagogies, place-based literacies, and narrative inquiry in teacher education contexts. Dobson's publications demonstrate consistent focus on digital literacy development, educational technology integration, and visual methodologies in humanities research. Recent work examines observational modeling, visual literacy, and digital book production for early literacy across cultural contexts.

Margo SeltzerView profile

Professor

• Computer Systems
• Operating Systems
• Database Systems
• +7 more

Margo Seltzer is a Professor and Co-Head of the Department of Computer Science at the University of British Columbia (UBC). She holds the Canada 150 Research Chair in Computer Systems and the Cheriton Family Chair in Computer Science. Her research focuses on computer systems, including operating systems, databases, data provenance, graph analytics, and interpretable machine learning. She is also involved in educational initiatives and has held leadership roles in academia, including serving as Dean of Computer Science and Engineering at Harvard University. Education: PhD in Computer Science from UC Berkeley (1992), AB in Applied Mathematics from Harvard (1983). Professional roles include Chief Technology Officer at Sleepycat Software and architect at Oracle Corporation. She has received prestigious awards such as the ACM Athena Lecturer Award, Killam Teaching Prize, and membership in the National Academy of Engineering. Research Interests: Systems, databases, transaction processing, provenance capture, healthcare informatics, and cybersecurity. Her work emphasizes practical applications of systems research, including optimizing storage, improving operating system performance, and enhancing data security. She has contributed to open-source projects like Berkeley DB and CamFlow provenance system. Key Contributions: Developed systems for provenance-aware storage, sparse decision trees (e.g., GOSDT), and intrusion detection (FRAPpucino). She advocates for reproducible research through tools like Encapsulator and Rclean. Her teaching and mentorship have influenced countless students and junior faculty in computer science. Awards: ACM Athena Lecturer (2023), SIGMOD Systems Award (2020), USENIX Lifetime Achievement Award (2019), and election to the American Academy of Arts and Sciences (2021). Her work bridges theoretical computer science with real-world applications, emphasizing both technical innovation and societal impact.

Anthony WachsView profile

Researcher

• Computational Fluid Dynamics
• Particulate Flow
• Numerical Simulation
• +5 more

Anthony Wachs is an Associate Member of the Department of Mathematics at the University of British Columbia (UBC), affiliated with the Faculty of Science. His research focuses on computational fluid dynamics (CFD), particulate flows, and multiphase systems, with emphasis on numerical methods like DEM-CFD coupling and high-fidelity simulations of complex fluid-particle interactions. He develops scalable solvers for non-spherical rigid bodies and fluid-structure interactions, contributing to fields such as granular media, viscoplastic fluids, and biological capsule dynamics. His work bridges computational approaches with real-world applications in energy, biomedical engineering, and environmental systems. Research interests include particle-resolved direct numerical simulations (DNS), fluidized beds, and the development of tools like Grains3D and PeliGRIFF for particle dynamics. His studies address challenges in flow past irregular geometries, hydrodynamic force modeling, and machine learning-enhanced fluid dynamics. Wachs collaborates across disciplines, integrating advanced numerical techniques with experimental validation to advance understanding of multiphase flow phenomena.

Keegan KorthauerView profile

Assistant Professor

• Genomic Data Science
• Epigenetics
• Biostatistics
• +3 more

Keegan Korthauer is an Assistant Professor in the Department of Statistics at the University of British Columbia (UBC), affiliated with the Faculty of Science. He leads the Korthauer Lab, which focuses on advancing statistical and computational methods for analyzing high-dimensional genomics and epigenomics data, with applications to cancer, child health, and development. His research integrates bioinformatics, biostatistics, and molecular biology to uncover molecular signals in complex biological systems. Education and Academic Background: While specific degree details aren’t listed, his academic role and publications suggest a PhD in Biostatistics or related field. The lab collaborates with institutions like BC Children’s Hospital Research Institute and maintains interdisciplinary research partnerships. Research Interests: The lab develops open-source tools for genomic data analysis, emphasizing DNA methylation, single-cell sequencing, and Bayesian modeling. Key areas include epigenetic mechanisms in disease, methodological standards for cellular heterogeneity studies, and translational applications in oncology and child health. Students and Collaborators: Current PhD students include Giuliano Netto Flores Cruz, Ning Shen, and Erick I. Navarro-Delgado. Alumni include Marco Tello and Giuseppe Tinti Tomio, whose work spans epigenetic modeling and bioinformatics. Labs/Teams: The Korthauer Lab prioritizes rigor, reproducibility, and transparency, with core values emphasizing collaborative learning and team success. Their software tools are publicly available and widely used in the genomics community.

Yuriko FuruhataView profile

Professor

• Cinema and media history
• Environmental media
• Transpacific studies
• +3 more

Professor Yuriko Furuhata is William Dawson Scholar of Cinema and Media History at McGill University. Her interdisciplinary research examines Japanese media, environmental art, and transpacific cultural exchanges through historical and theoretical frameworks. Research examines: Geopolitics of environmental media technologies Avant-garde film and image politics Settler colonial histories in scientific visualization Atmospheric control and computing history Her award-winning scholarship rethinks media infrastructures through environmental and decolonial perspectives.

Burak KantarciView profile

Professor

• Internet of Things (IoT)
• AI-based Security
• Vehicular Networks
• +6 more

Dr. Burak Kantarci is a Full Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa. He holds a University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures and a courtesy faculty appointment at Clarkson University. His research focuses on IoT, AI-based security, vehicular networks, and edge computing. Education and Career: Previously an Assistant Professor at Clarkson University (before joining University of Ottawa) and a Research Fellow at University of Ottawa (2009–2014). He is a Professional Engineer (P.Eng) in Ontario. Research Interests: Includes continuous authentication, communication models for big data, crowdsensing, and vehicular sensing. He leads the NEXTCON-SCVI Labs and has published over 200 peer-reviewed works. Articles Trends: Recent work emphasizes AI-driven security solutions, autonomous systems safety, and 5G/6G networking challenges. Topics include adversarial detection, UAV optimization, and edge computing efficiency. Awards: Distinguished Lecturer (IEEE Communications & Systems Societies), ACM Distinguished Speaker, Senior Member (ACM/IEEE). Grants & Advising: Principal Investigator on NSERC/CFI/NSF-funded projects. Advises on grants focused on smart infrastructure and secure networking. Labs/Teams: Founder of NEXTCON-SCVI Labs, focusing on communications, computing networks, and smart vehicles innovation.

• Bioinformatics
• Genomics
• Genetics
• +7 more

Paul Stothard is a Professor at the University of Alberta, affiliated with the Faculty of Agricultural, Life and Environmental Sciences and the Department of Agriculture, Food & Nutrition Science. He leads the Stothard Research Group, which focuses on bioinformatics-driven genomics and genetics research. His academic work integrates software development with applied animal genetics, contributing to breeding strategies for cattle and pigs, as well as environmental and microbial genomic projects. Dr. Stothard holds a PhD in molecular biology and genetics from the University of Alberta. His research interests include identifying genetic bases for animal traits, cataloging genome variations in livestock, developing diagnostic tools for pathogens in feedlot cattle, and creating user-friendly bioinformatics resources like Proksee and the CGView Comparison Tool. His group’s findings have been applied in DNA tests for cattle breeding and SNP chips for bison conservation. He is currently involved in the Bison Integrated Genomics (BIG) Project and the Resilient Dairy Genome Project, funded by Genome Canada and collaborating with institutions like the University of Guelph. His software contributions include Proksee (a bacterial genome analysis server) and CGView, widely used in microbial genomics research. Teaching includes courses such as AFNS 508 (Applied Bioinformatics) and AN SC 485 (Animal Genetics and Breeding). He advises students like Natalie Diether, who received the 2023 ALES Graduate Student PhD Thesis Award. His research also addresses antimicrobial resistance, feed efficiency in dairy cows, and the genetic underpinnings of livestock resilience to disease and environmental stress.

• Eighteenth-Century Literature
• Feminist Studies
• Sexuality Studies
• +3 more

Professor Katherine Binhammer is a faculty member in the Department of English & Film Studies at the University of Alberta, Faculty of Arts. She holds a PhD from York University, along with MA and BA degrees. Her research focuses on eighteenth-century literature, feminist and sexuality studies, narrative theory, and critical finance studies. She authored Downward Mobility: The Form of Capital in the Sentimental Novel (2020) and The Seduction Narrative in Britain, 1747-1800 (2009). She currently serves as Literary Director of The Orlando Project, a digital humanities initiative producing a feminist literary history of women’s writing in the British Isles. Her teaching emphasizes collaborative critical thinking and includes courses on eighteenth-century British literature, women’s literary history, narrative theory, and gender/sexuality studies. Recent courses include ENGL 150 (Introduction to English Studies), ENGL 343 (Eighteenth-Century Literature), and ENGL 465 (Gender and Sexualities). She is also involved in directed reading programs (ENGL 555). Binhammer’s publications span monographs, peer-reviewed articles, and editorial work in venues like Narrative , GLQ , and Studies in the Novel . Her work interrogates intersections of gender, sexuality, economic structures, and narrative form in historical and contemporary contexts. She collaborates on digital humanities projects that reimagine literary historiography through feminist frameworks.