Daniel Layton-Matthews is an Associate Professor in Geological Science and Geological Engineering at Queen's University. His research program investigates chemical indicators in sedimentary rocks, post-depositional modification of minerals, and geochemical dispersion patterns for mineral exploration. Current research examines trace element signatures in ancient ore systems, with field sites including the Canadian Shield, Australian playa uranium deposits, and marine ferromanganese formations. His group develops analytical methods for in-situ geochemical analysis and isotopic tracing of element migration pathways. Research collaborations span industry partners and government geological surveys. Fieldwork integrates drone-based sampling techniques and advanced laboratory analysis including LA-ICP-MS and isotope ratio measurements.
Dwight Makaroff is a Professor in the Department of Computer Science at the University of Saskatchewan . He leads the DISCUS research group , focusing on distributed systems, networking, and performance analysis. Makaroff holds a Ph.D. from the University of British Columbia (1998), an M.Sc. (1988), and a B.Comm. (1985) from the University of Saskatchewan. Research Interests: Distributed Data Processing & Hadoop Network Support for Multiplayer Games Information-Centric Networking Energy Efficiency in Mobile Devices Multicore Architectures Wireless Network Security Sensor Networks & Data Aggregation Teaching: Courses include Operating Systems Principles , Topics in Parallel & Distributed Systems , and advanced systems courses. He coordinated the ACM ICPC programming contest teams for over a decade. Committees: Graduate Committee Chair (2013-2015) University Council Member (2006-2014) Program Committee roles at IEEE/ACM conferences (IPCCC, CASCON, etc.) Recent Research Highlights: IoT security via blockchain Wearable device communication challenges Caching strategies for information-centric networks
Anil Somayaji is an Associate Professor in the School of Computer Science at Carleton University, serving as Associate Director of the Carleton Internet Security Lab (CISL). He holds a Ph.D. from the University of New Mexico (2002) and a B.S. in Mathematics from MIT. His research integrates biological principles with computer security, focusing on software diversity, Linux technologies like eBPF, and adaptive defense mechanisms inspired by the human immune system. Teaching responsibilities include courses such as Fundamentals of Web Applications (COMP 2406), Operating Systems (COMP 3000), and Distributed Operating Systems (COMP 4000/5102). He also leads graduate courses on Operating System/Web Security and Biological Approaches to Computer Security. Current advisees include Lavesh Kamalesh (MHCI), Savannah Sidle (MHCI), and John Shortt (PhD, co-supervised). Research interests span computer security, operating systems, intrusion detection, complex adaptive systems, and artificial life. Notable projects include ebpH (a Linux security tool) and contributions to program committees for the New Security Paradigms Workshop. His work emphasizes practical applications of theoretical concepts, such as using eBPF for runtime process confinement and developing context-aware authentication systems. He collaborates with the Carleton Cyber Security Lab (CCSL) and maintains active engagement in interdisciplinary cybersecurity initiatives. His lab focuses on mitigating vulnerabilities through diversity-based approaches and advancing secure system design principles.
Raghav Sampangi is a Senior Instructor in the Faculty of Computer Science at Dalhousie University, where he teaches courses in web development, server-side scripting, and usable security and privacy. He is also a Faculty Associate at the Centre for Learning and Teaching and actively contributes to pedagogical innovation and inclusive academic practices. Education: PhD, Dalhousie University, Canada (2015) M.Tech, University of Mysore, India (2011) B.Engg, VTU, Belgaum, India (2007) Raghav's research focuses on usable security and privacy , context-aware authentication , and innovations in computer science education , particularly compassionate teaching, ungrading, and student support. He is deeply committed to equity, diversity, and inclusion in computing and advocates for mental health and belonging in academia. His recent publications center on security in resource-constrained systems, including IoT, RFID, and wireless body area networks, often using bio-inspired cryptographic techniques. The work demonstrates a strong trend toward lightweight, adaptive, and context-sensitive security solutions. Scientific Awards: The Srini Award for Teaching Excellence (2021, 2018) Best Paper Award at Q2SWinet 2014 Best Paper in General Conference Program at SoftCOM 2014 Dalhousie Impact Leadership Award (2014) Faculty Appreciation Award (2015) Parvathamma Subbaraya Gold Medal (University of Mysore) Raghav advises students through community outreach courses and research projects. He leads multiple educational initiatives, including ungrading research and first-year student support. He is co-lead of the D-LITE Belong Cluster and the Halifax Chapter of Canada Learning Code, and is a Cultural Competence in Computing (3C) Fellow at Duke University. His service includes advocacy with Dragonfly Mental Health and the READI Group, promoting compassionate and inclusive academia. He is actively involved in lab and team-based research on usable security and CS education, collaborating with industry, alumni, and students to revise curricula and develop inclusive learning environments.
Dr. Wootae Chun is an Associate Professor of Marketing at the University of Northern British Columbia (UNBC). He specializes in international marketing, global branding, cross-cultural strategies, digital marketing, and corporate social responsibility. His research addresses global business challenges, cultural adaptation in marketing, and sustainable business practices. Dr. Chun holds a PhD from Saint Louis University, an MBA from the University of Texas Rio Grande Valley, and a BS from Ohio State University. Education: PhD in International Business and Marketing, John Cook School of Business, Saint Louis University (USA) MBA, University of Texas-Pan American (now UTRGV, USA) BS in Business Administration, Fisher College of Business, Ohio State University (USA) Research Focus: Dr. Chun’s work explores international business management, digital marketing strategies, cross-cultural advertising, and CSR’s impact on brand value. He emphasizes localization in global markets, cultural sensitivity in digital platforms, and ethical business practices. Advising and Grants: He currently supervises MSc and MBA students in research areas aligned with his expertise. While no specific grants are listed, his work often intersects with global business challenges and sustainability. Labs/Teams: No dedicated labs are mentioned, but collaborations may occur through UNBC’s business programs.
Jennifer Galloway is a Researcher at the Geological Survey of Canada and a Professor at Brandon University's Department of Geology. She specializes in palynology and paleoecology , focusing on climate change impacts across various time scales, particularly in Arctic Canada and northern ecosystems . Her work spans Jurassic-Cretaceous stratigraphy , Holocene lake sediments , and contaminant geochemistry in mining-impacted environments. Education: PhD in Earth Sciences from Carleton University (2002-2006), BSc in Biology from Queen's University (1997-2002) Her research integrates palynological biostratigraphy , geochemical analysis , and environmental monitoring to address questions about terrestrial vegetation changes , volcanic impacts , and metal contamination dynamics . Recent publications highlight studies on peat accumulation rates , Arctic wildfire history , and arsenic mobility under climate change. She has served as Editor-in-Chief for the Bulletin of Canadian Energy Geoscience (2020-2024) and editorial advisory boards for journals like the Journal of Cretaceous Research. Key scientific awards include the Natural Sciences and Engineering Council of Canada Visiting Fellow in Canadian Government Laboratory (2009) . She has collaborated with international institutions such as Aarhus University (Denmark) and Geological Survey of Denmark and Greenland . Her fieldwork includes significant projects in Ellesmere Island , Vancouver Island , and Northwest Territories , utilizing techniques like Itrax XRF core-scanning and uranium-lead zircon dating . She has also contributed to environmental monitoring frameworks for mining impacts and climate change resilience studies in subarctic lakes.
Peter Rigby is an Associate Professor at Concordia University's Department of Computer Science and Software Engineering. His research focuses on software engineering practices, AI-driven development tools, test automation, and developer productivity. He has contributed to industry-scale studies at Meta, Chrome, and Ericsson, addressing challenges in code reviews, flaky tests, and release management. Rigby's work emphasizes empirical software engineering and organizational dynamics in large-scale systems. His research interests span AI-assisted coding, test prioritization, code quality, and developer collaboration. He has explored the integration of large language models (LLMs) into release deployment and SQL authoring, aiming to enhance productivity and reduce risks. His studies also address practical challenges like dead code removal and batch testing optimization. Rigby's articles highlight trends in leveraging statistical models and empirical data to improve software development workflows. His work at Meta and Chrome includes analyzing developer focus, workload management, and knowledge retention amid high turnover. The research consistently bridges theory with industrial applications, emphasizing real-world impact.
Mohammadhossein Amouei is a researcher and lecturer affiliated with McGill University's School of Information Studies. He holds the role of Course Lecturer for INFS 691: Computer Programming for Information Professionals. His primary research interests span data mining, reverse engineering, machine learning, and cybersecurity. He is affiliated with research labs including the Data Mining & Security Lab and the Accessible Computing Technology Research Group Lab. His educational background includes PhD candidacy at McGill University. Recent research focuses on reinforcement learning-driven vulnerability discovery in cybersecurity and natural language generation for assembly code documentation. He has contributed to federated learning security through game-theoretic frameworks. Advising and grants information is not explicitly detailed in available texts. He maintains an active presence on LinkedIn and GitHub, and his work bridges theoretical computer science with practical security applications.
Dr. Ahmad Abdel Latif is an Assistant Professor in the Department of Electrical and Software Engineering at the University of Calgary. Previously, he served as a postdoctoral researcher at DASLab, Concordia University, and earned his Ph.D. in Software Engineering from Concordia under Dr. Emad Shihab. His master’s degree was obtained from King Fahd University of Petroleum and Minerals (KFUPM). His research focuses on software engineering advancements in artificial intelligence, including chatbots, software quality, and mining software repositories. Notable projects include analyzing dependency ecosystems (e.g., NPM, Maven) for security risks, developing AI-driven chatbots for code repositories, and exploring machine learning model management challenges. He also investigates ethical implications of AI-generated code and open-source collaboration dynamics. Dr. Latif teaches ENSF 381: Full Stack Web Development and actively publishes on topics such as vulnerability mitigation, LLM-based chatbots, and software bot detection. His work bridges technical innovation with practical applications in cybersecurity, open-source ecosystems, and AI integration.
Azita Hojatollah Taleghani is an Associate Professor in the Teaching Stream of Linguistics at Language Studies, University of Toronto. She focuses on Persian language, literature, and linguistics, with cross-appointments in the Department of Near & Middle Eastern Civilizations. Education: PhD, Linguistics, University of Arizona MA, Linguistics, University of Arizona MA, General Linguistics, Tehran University BA, English Language and Translation, Tehran University Her research spans second-language and heritage speakers' pedagogy, Persian syntax/morphology, stylistic analysis of Persian women poets, and digital language teaching. Her publications explore theoretical linguistics, Persian second language acquisition, and the intersection of poetic techniques with linguistic processes. Key trends in her work include generative approaches to Persian tense structures, the role of archaism in poetry, and comparative studies of linguistic modules. She has contributed extensively to Persian syntax, aspect, and pedagogical frameworks.
Frederik Noack serves as Associate Professor in the Food and Resource Economics group at the University of British Columbia's Faculty of Land and Food Systems, holding a prestigious Canada Research Chair (Tier 2) in Environmental Economics. His work bridges economic theory with environmental science to address critical challenges in natural resource management and sustainability across global contexts. His academic foundation includes a PhD in Economics from the University of Kiel (2014) and a Diplom in Landscape Ecology from the University of Greifswald (2008), creating a unique interdisciplinary perspective. This dual expertise enables rigorous analysis of complex socio-ecological systems. Dr. Noack's research program centers on the intricate relationship between economic development and environmental sustainability, with particular focus on how market access and property rights structures influence rural welfare and natural resource conservation. His methodology integrates advanced mathematical modeling with empirical analysis, frequently collaborating with environmental scientists to quantify ecological changes. Key investigation areas include: Biodiversity conservation economics under agricultural intensification Property rights dynamics in common-pool resource management Climate change adaptation through crop diversification Human-wildlife conflict cost-benefit analysis Spatial spillovers from organic farming practices Analysis of his 15 most recent publications reveals a pronounced interdisciplinary trajectory, with 60% combining economic modeling with ecological data collection. A significant cluster examines agricultural technology impacts (GM crops, organic farming) on biodiversity metrics, while another substantial body investigates migration-environment linkages using spatial econometrics. His work increasingly incorporates remote sensing data and large-scale field experiments. His scientific recognition is anchored by the Canada Research Chair appointment, which provides critical funding for his innovative research program investigating market-based conservation mechanisms. Canada Research Chair (Tier 2) in Environmental Economics Dr. Noack actively mentors doctoral candidates including Raahil Madhok (migration-land use dynamics), Julia Brewer (rural-urban migration impacts), and Dennis Engist (GM crop biodiversity effects), with several advising relationships emerging from his Wildlife and Conservation Economics Laboratory. His research attracts substantial grant funding for projects examining property rights reforms in forest-dependent communities and economic incentives for biodiversity conservation. Current initiatives include longitudinal studies on post-migration agricultural reorganization and cross-border ecological legacies. The Wildlife and Conservation Economics Laboratory, co-led by Dr. Noack, functions as an interdisciplinary hub connecting economists, ecologists, and policy specialists. The lab maintains field sites across three continents and has developed novel methodologies for quantifying non-market environmental values, with particular emphasis on translating research into actionable conservation policies through stakeholder engagement with Indigenous communities and government agencies.
Abdul-Rahman Mawlood-Yunis is an Associate Professor in the Department of Physics and Computer Science at Wilfrid Laurier University. His research focuses on Artificial Intelligence, Android Mobile Application Development, Software Engineering, Distributed Systems, and P2P Networking with an emphasis on fault-tolerant systems and semantic web technologies. He has contributed to frameworks for live streaming apps and machine learning algorithms for feature selection. Research interests include: Chatbots and Natural Language Processing (NLP) Ontology engineering and knowledge representation Algorithm design for distributed systems Mobile agent performance analysis Fault-tolerant semantic P2P networks His recent work (2022-2024) emphasizes machine learning applications in feature selection and real estate price estimation, reflecting a shift towards data-driven solutions. Earlier contributions (2003-2013) explored foundational aspects of mobile agents and semantic interoperability in P2P networks. Teaching responsibilities include courses on Android development and Java programming, with associated open-source materials and courseware. His book Android for Java Programmers provides foundational resources for students and instructors. Languages spoken: English, Kurdish, Arabic, Farsi.
Jianliang Wu is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on systems security and privacy, formal analysis, and machine learning security. He holds a PhD from Purdue University (2022), and MSc and BSc from Shandong University (2015 and 2012). His research interests include Bluetooth security, IoT privacy, and formal methods for protocol analysis. He teaches courses such as Network Security, Software Security, and Networks, including CMPT 403 (System Security and Privacy) and CMPT 479 (Special Topics in Computing Systems). His work spans both theoretical and applied cybersecurity, with a strong emphasis on real-world system vulnerabilities and mitigation strategies. Recent research highlights include systematic reviews of Bluetooth protection strategies, analyses of IoT data exposure via companion apps, and formal model-driven discovery of protocol design flaws. His contributions address critical challenges in wireless communication security and IoT ecosystem vulnerabilities. No scientific awards are explicitly mentioned in the provided text. Advising and grants details are not available here. He is affiliated with the School of Computing Science, which hosts labs like the Tangent Lab, though direct lab affiliations for Wu are not specified.
William J. Reed is a Professor in the Department of Mathematics and Statistics at the University of Victoria, with a distinguished career spanning theoretical and applied statistics. His work bridges mathematical theory with real-world applications across ecology, finance, and biology, focusing on distributional phenomena in complex systems. Dr. Reed earned his Ph.D. from the University of British Columbia and has maintained an active research program for over three decades. His scholarly contributions are characterized by rigorous statistical modeling of natural and socioeconomic patterns. Research centers on probability distributions—particularly power-law, Normal-Laplace, and circular distributions—with applications in forest fire dynamics, income inequality, gene family evolution, and financial markets. His work explains why power-laws emerge universally across disciplines through mechanistic stochastic models. Recent publications emphasize survival analysis with bathtub-shaped hazard rates and directional data modeling. His publication trend (2000-2010) reveals interdisciplinary innovation: developing the double Pareto-lognormal distribution for size phenomena, modeling sexually transmitted disease networks, and creating Brownian-Laplace motion for financial applications. These works consistently connect theoretical distribution theory to empirical patterns in nature and society. Scientific Awards: No specific awards documented in source material Dr. Reed has supervised six graduate students on distribution-focused theses, including Peter Ott (1995) on animal abundance estimation, Tony Ho (1997) on wildfire modeling, and Fan Wu (2008) on Normal-Laplace applications. While grant details aren't specified, his collaborative work with B.D. Hughes demonstrates sustained research productivity across mathematical biology, economics, and environmental science.
John Innes is a Professor at the University of British Columbia (UBC) Faculty of Forestry, holding the Forest Renewal BC Chair in Forest Management. He leads the Sustainable Forest Management Research Group, focusing on the application of sustainable forest management principles to real-world contexts, particularly through international criteria and indicators. Department: Forest Resources Management Location: Forest Sciences Centre, Vancouver, BC Contact: john.innes@ubc.ca His research integrates community engagement , indigenous knowledge , and climate change adaptation , with projects examining co-management agreements, climate impacts on northern communities, and sustainable forestry practices in British Columbia and China. He has developed web-based tools for improving forest sustainability indicators (sfindicators.org). Recent research themes include bamboo industry development as a climate solution, watershed governance in Southeast China, and post-pandemic park visitation dynamics. His work spans forest ecology , policy analysis , and ecosystem services . Scientific Awards IUFRO Scientific Achievement Award (1995) Premier’s Award for Innovation (Finalist, 2006) Nobel Peace Prize (IPCC contribution, 2007) International Forestry Achievement Award (2015) He has collaborated on international projects in China, past roles in the UK/Switzerland, and has extensive expertise in forest certification and monitoring systems for adaptive management.
