جست‌وجوی استاد و پژوهشگر

Karl J. Jobstمشاهده پروفایل

استادیار

• Environmental Chemistry
• Mass Spectrometry
• Toxicology
• +۳ مورد دیگر

Karl J. Jobst is an Assistant Professor in the Department of Chemistry at Memorial University of Newfoundland, with prior roles as a Scientist at the Ontario Ministry of the Environment (2013-2019) and Visiting Fellow at Environment Canada (2011-2013). He holds a Ph.D. in gas-phase ion chemistry from McMaster University (2011) and is an Adjunct Assistant Professor at McMaster and the University of Toronto Scarborough. His research focuses on emerging environmental contaminants, using mass spectrometry and computational methods to study their ecological and human health impacts. His work spans environmental chemistry, toxicology, and exposomics, with a focus on microplastics, PFAS, and industrial pollutants. The Jobst Lab employs advanced techniques like multidimensional separations, metabolomics, and ion mobility-mass spectrometry to identify contaminants in complex matrices such as air, water, and biological tissues. Recent studies include placental microplastic quantification, maternal-fetal exposure pathways, and pollutant bioaccumulation in wildlife. Dr. Jobst has authored/co-authored over 70 peer-reviewed publications and serves on the editorial board of Current Opinion in Environmental Science & Health . His lab’s news highlights include securing funding for placental microplastic research and relocating to state-of-the-art facilities.

Alexander McClellandمشاهده پروفایل

دانشیار

• Critical social science
• Violence
• Surveillance
• +۶ مورد دیگر

Dr. Alexander McClelland is an Associate Professor at the Institute of Criminology and Criminal Justice , Carleton University. His research bridges critical criminology , public health law , and LGBTQ+ rights , with particular focus on the criminalization of HIV non-disclosure and police-involved deaths in Canada. Key Grants : CIHR Community-Based HIV Team Grant (2024-2025), SSHRC Insight Grant (2024-2028), SSHRC Insight Development Grant (2022-2024) Notable Publications : Criminalized Lives: HIV and Legal Violence (Rutgers University Press, 2024), recipient of POZ Magazine's Best in Literature Award (2024) His work critically examines how surveillance systems and criminal law intersect with health disparities , particularly for Black, Indigenous, and LGBTQ+ communities . Through projects like the Tracking (In)Justice database and Policing the Pandemic Mapping Project , he documents systemic violence while advocating for legal reforms. Recent research focuses on data ethics in HIV surveillance , epistemological exclusion in community-based research, and medico-legal borderlands . His articles frequently address consent, stigma, and policy reform , with methodological emphasis on qualitative narratives and community partnerships .

Eric Vandervoortمشاهده پروفایل

استاد مدعو

• Medical Physics
• Radiation Oncology
• Dosimetry
• +۳ مورد دیگر

Dr. Eric Vandervoort holds multiple academic roles: Medical Physicist at The Ottawa Hospital Cancer Centre, Adjunct Research Professor in the Department of Physics at Carleton University, and Assistant Professor in the Division of Medical Physics at the University of Ottawa's Department of Radiology. His research focuses on medical physics applications in stereotactic ablative radiosurgery, including accurate modeling of detector responses and evaluating dose delivery uncertainties in advanced systems like CyberKnife and GammaPod. Key research areas include radiation beam modeling, multileaf collimator calibration, and patient anatomy changes during treatment. Dr. Vandervoort is also involved in prototyping patient immobilization techniques for the GammaPod breast radiotherapy system and developing MR-based dose calculation using Monte Carlo models. He leads projects on in-room image guidance for real-time patient positioning verification. He contributes to the implementation of new technologies such as the Ottawa Hospital's GammaPod and dedicated MRI-simulation suite, slated for 2018 installation. His work emphasizes precision and safety in radiation therapy, addressing clinical challenges in complex delivery systems.

Debapriya Senمشاهده پروفایل

استاد

• Industrial Organization
• Game Theory
• Microeconomics
• +۲ مورد دیگر

Dr. Debapriya Sen is a Professor in the Department of Economics at Toronto Metropolitan University. His research focuses on Industrial Organization, Game Theory, and Microeconomics, with a particular emphasis on patent licensing, market structure, and strategic competition. He earned his Ph.D. from the State University of New York at Stony Brook in 2003. Research Interests: Industrial Organization, Game Theory, Microeconomics, and Development Economics Key Contributions: Theoretical analyses of patent licensing schemes, Cournot oligopoly models, sharecropping theory, and lexicographic preferences. Recent Trends: 2024-2022 publications explore optimal patent licensing transitions, dual economy innovation, Brexit-related mechanism design, and subsistence economic modeling.

Philip K. Chanمشاهده پروفایل

استاد

• Polymer Science
• Liquid Crystals
• Complex Fluids
• +۳ مورد دیگر

Dr. Philip K. Chan is a Professor and Department Chair in the Department of Chemical Engineering at Toronto Metropolitan University. He holds degrees from McGill University: BEng (1990), MEng (1992), and PhD (1997). His expertise includes computer simulation of polymers, liquid crystals, and complex fluids. Chan teaches courses such as Fluid Mechanics (CHE 217), Plastics Technology (CHE 451), and Polymer Science (CHE 454). His research focuses on phase separation in polymer systems and simulation of liquid crystalline materials, with an emphasis on bridging theoretical models and real-world applications. Chan is committed to mentorship, guiding MEng, MASc, and PhD students through technical challenges and academic rigor. He employs innovative teaching methods, including real-life examples and visual aids, to simplify complex engineering principles for undergraduates. Availability to supervise graduate students is noted, though specific grants or awards are not detailed. The department’s labs and resources are integral to his research and teaching activities.

• Combinatorics
• Discrete Mathematics
• Computational Biomodelling
• +۴ مورد دیگر

Erin Meger is an Assistant Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. Her research focuses on combinatorics, discrete mathematics, computational biomodelling, and game theory with applications to graph structures and network models. She holds a PhD (2020) and MSc (2016) in Mathematics from Ryerson University, and a B.Sc. Honors (2014) in Mathematics from Wilfrid Laurier University. Her work explores graph-based games like Cops and Robbers, network models for complex systems, and saturation/extremal graph problems. Notable contributions include defining barricade variants of pursuit-evasion games and developing iterative models for social network dynamics. She also investigates hybrid power-law models and eternal domination in graphs. Dr. Meger's research integrates theoretical insights with applications in network traffic analysis, optimal control strategies, and open educational resource development. Despite no listed awards, her trajectory reflects active engagement in both academic innovation and collaborative scholarship.

Wendy Powleyمشاهده پروفایل

دانشیار

• Database Management Systems
• Autonomic Computing
• Cloud Computing
• +۳ مورد دیگر

Wendy Powley is an Associate Professor at Queen’s University’s School of Computing within the Faculty of Arts and Science. She holds a B.A. in Psychology (1984), B.Ed. in Primary Junior Education (1985), and M.Sc. in Computer Science (1990), all from Queen’s University. Her research focuses on database systems, autonomic computing, workload management, and cloud computing. She co-founded the Women in the School of Computing (WISC) group and pioneered the Ontario Celebration of Women in Computing, promoting gender equity in computing education and careers. Education History: B.A., Psychology, Queen’s University (1984) B.Ed., Primary Junior Education, Queen’s University (1985) M.Sc., Computer Science, Queen’s University (1990) Research Interests: Database Management Systems (DBMS) Autonomic Computing and Self-Managing Systems Workload Control and Resource Management Policy-Based Management for Complex Systems Cloud Computing and QoS-aware Applications Publications reflect expertise in DBMS performance optimization, autonomic frameworks, and workload adaptation strategies. Her work has been published in leading conferences/journals since 1993. Scientific Awards: Queen’s University Equity Award (for advancing gender equity in computing) Professional Contributions: First-year course and internship program coordinator at Queen’s School of Computing Co-chair of ACM-W (Association for Computing Machinery-Women in Computing) Organized CAN-CWiC (Canadian Celebration of Women in Computing) events Labs/Teams: Active member of the Database Systems Lab (DSL) led by Dr. Pat Martin (1992–2016). Currently involved in ACM-W initiatives promoting women in computing globally.

• Data Analytics
• Signal Processing
• Operations Research
• +۴ مورد دیگر

Dr. Mikhail Nediak is an Associate Professor at the Smith School of Business, Queen's University. He holds a PhD in Operations Research from Rutgers University and dual MSc degrees in Computer Science and Applied Mathematics. His research focuses on complex Management Science and Operations Research problems with computational components, including revenue management, dynamic pricing, and data-driven optimization. He serves as Associate Dean for Research at the Moscow School of Management SKOLKOVO and holds the Scotiabank Scholar title at Queen's. Education: PhD in Operations Research, Rutgers University (2002) MSc in Computer Science, Rutgers University (2002) MSc in Applied Mathematics, Moscow Institute of Physics and Technology (1997) BSc in Natural Sciences, Moscow Institute of Physics and Technology (1997) Research Interests: Dr. Nediak explores data analytics, signal processing, and optimization algorithms applied to revenue management and strategic consumer behavior. His work integrates techniques like integer programming, control theory, and stochastic simulation to address real-world business challenges. Recent studies examine dynamic pricing under social influence, resale price maintenance, and indirect lending risk pricing. Key Contributions: His articles highlight advancements in scalable bid pricing, strategic consumer cooperation, and discriminatory pricing models. These contributions bridge theoretical optimization frameworks with practical business applications. Awards & Positions: Scotiabank Scholar, Scotiabank Centre for Customer Analytics Associate Director of Research, Smith School of Business Advising & Leadership: Currently supervising academic work across doctoral and master's programs, with a focus on mentoring students in Operations Research and Analytics. His leadership in research administration at Queen's and SKOLKOVO reflects his commitment to advancing academic rigor and industry collaboration.

• Cardiology and Circulatory Sciences
• Immunology
• Cell Biology
• +۶ مورد دیگر

Dr. Patricia Lima is an Adjunct Assistant Professor and Research Associate in the Department of Medicine at Queen’s University, affiliated with the Queen’s Cardiopulmonary Unit (QCPU) and the Translational Institute of Medicine (TIME). She holds a PhD in Reproductive Immunology from the University of Campinas, Brazil, and specializes in molecular imaging and cytometry. Her research focuses on immune responses in physiological (e.g., pregnancy) and pathological conditions (e.g., cardiovascular and pulmonary disorders), with emphasis on pulmonary hypertension, neutrophil heterogeneity, and endocrine disorders. She leads the Imaging and Cytometry Labs at QCPU, overseeing advanced microscopy and cellular analysis equipment. Education: PhD in Reproductive Immunology (2012, University of Campinas, Brazil). Research Interests: Pulmonary hypertension (macrophage polarization, inflammasome activation), neutrophil heterogeneity in sepsis, mitochondrial dynamics in cardiovascular disease, and endocrine disorders like polycystic ovarian syndrome. She also investigates the role of sex hormones in immune dimorphism and oxygen-sensing mechanisms in vascular smooth muscle cells. Lab & Team: Director of the QCPU Imaging Lab (Leica SP8 MP super-resolution microscope) and Culture/Cytometry Lab (cell sorter and risk-level 2+ facilities). Collaborates with over 30 research projects, providing technical and scientific guidance. Community Engagement: Volunteer firefighter at Athens Fire Department, founder of Women’s in Science at Queen’s (WiSQ), and annual leader of Muscular Dystrophy Canada fundraising campaigns.

Derek Raysideمشاهده پروفایل

دانشیار

• Autonomous Systems
• Software Engineering
• Formal Methods
• +۳ مورد دیگر

Derek Rayside is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and serves as Associate Dean for Co-operative Education and Professional Affairs. His research spans autonomous systems, software engineering, formal methods, and construction project management. He holds a faculty position in a top-tier engineering program with affiliations to both academic and administrative roles at the university. Research interests include advancing autonomous vehicle decision-making through reinforcement learning and computer vision techniques, improving software development methodologies via formal verification and collaborative platforms, and enhancing project management practices in complex construction environments. His work integrates interdisciplinary approaches combining control theory, machine learning, and social network analysis. Recent publications focus on autonomous driving challenges (action recognition, intersection navigation), software engineering education (game-based learning), and formal methods for system validation. His contributions bridge theoretical advancements with practical applications in safety-critical systems and industrial workflows. Teaching responsibilities include the ECE351 course on signals and systems. He has led curriculum development efforts and maintains a personal research website at the University of Waterloo's ECE department.

• Temporal Databases
• Query Languages
• Embedded Control Systems
• +۴ مورد دیگر

David Toman is an Assistant (later Associate) Professor in the Department of Computer Science at the University of Waterloo, part of the Faculty of Mathematics. His research focuses on temporal databases, query languages, embedded control systems, semi-structured data (XML), finite model theory, and programming language implementation. He holds a PhD from Kansas State University (1996) and an MS (MGr.) from Masaryk University (1992). Toman has held roles including Visiting Professor at BRICS, Aarhus University, and postdoctoral fellowships at the University of Toronto. His work includes over 40 refereed publications and contributions to projects funded by CITO, CFI, and NSERC. Awards include the NSERC/NATO Postdoctoral Fellowship and multiple summer school fellowships. Education: PhD in Computer Science, Kansas State University (1996) MS (MGr.) in Computer Science, Masaryk University (1992) Research Interests: Temporal databases and query languages Query processing in embedded control systems XML and semi-structured data management Finite model theory and formal methods Programming language implementation Grants & Awards: CITO Project: Text Indexing for Data Warehouses (CDN$143,000) CFI/OIT: Software Technology for Embedded Control Programs (CDN$705,000) NSERC Individual Research Grant (CDN$84,000) Key Contributions: Developed temporal extensions of SQL and query optimization techniques Contributed to description logics and duplicate elimination in databases Published widely in venues like ACM TODS, IEEE TKDE, and EDBT

Kaan Erkorkmazمشاهده پروفایل

استاد

• Machine Tool Dynamics
• Control Systems
• Manufacturing Automation
• +۵ مورد دیگر

Kaan Erkorkmaz is a Professor at the University of Waterloo's Faculty of Engineering, Department of Mechanical and Mechatronics Engineering. He leads the Precision Controls Laboratory and specializes in advanced manufacturing systems, precision motion control, and machine tool dynamics. His work focuses on optimizing CNC systems, chatter suppression, additive manufacturing integration, and mechatronic system design. Education: B.Sc. from Istanbul Technical University (1995), M.A.Sc. from University of British Columbia (1999) Research interests include feed drive optimization, friction modeling, real-time monitoring systems, and digital twin applications in manufacturing. He has pioneered techniques for vibration damping in precision drives and developed algorithms for cutting force prediction. His recent work emphasizes synergies between additive manufacturing and machining processes, with contributions to powder-to-part workflows and hybrid manufacturing strategies. Key innovations include adaptive feedforward control for positioning errors and LP/NLP-based feedrate optimization for complex toolpaths. Grants and advising: While specific grants aren't detailed, his research is supported by ongoing industrial collaborations. No advisees listed in current data. Labs/Teams: Directs the Precision Controls Laboratory, focusing on mechatronic system integration, CNC optimization, and smart manufacturing technologies.

Andrew J B Milneمشاهده پروفایل

مدرس

• Fluid Mechanics
• Engineering Education
• Assessment Methods
• +۳ مورد دیگر

Andrew J B Milne is a Continuing Lecturer at the University of Waterloo. His work spans engineering education and fluid mechanics research. He focuses on innovative teaching methods, assessment strategies, and fluid dynamics phenomena such as superhydrophobic surfaces and turbulent flow behavior. His contributions include advancing co-op program evaluations and integrating real-world applications into engineering curricula. Research interests highlight the intersection of education and technical disciplines. He explores effective assessment tools for learning outcomes, problem-based learning through hackathons, and practical demonstrations like using carburetors to teach fluid mechanics. His fluid dynamics work addresses drag reduction in complex flows and surface chemistry effects on liquid behavior. Notable publications analyze work-term evaluations, survey methodologies for student self-assessment, and experimental studies on sessile drops and surfactant solutions. These studies emphasize both pedagogical innovation and fundamental fluid mechanics principles. No scientific awards or grants are explicitly listed, though his cross-disciplinary work reflects sustained academic engagement.

Chris Wangمشاهده پروفایل

دانشیار

• Stem Cell Biology
• Developmental Biology
• Molecular Genetics
• +۳ مورد دیگر

Chris Wang is an Associate Professor of Biology and Chair of the Sciences department at Ambrose University. He joined the faculty in Fall 2017 and holds a PhD from the University of Calgary, following an MSc and BSc from the University of Calgary and University of Lethbridge, respectively. His research focuses on understanding the molecular mechanisms governing the balance between stem cell proliferation and differentiation, using Caenorhabditis elegans and human tissue culture models. Central to his work is the GLP-1/Notch signaling pathway and the role of TEG-1/CD2BP2 in regulating microRNA abundance and germline development. Wang has published extensively in journals such as PLOS Genetics , Genetics , and Scientific Reports , with recent studies investigating Notch signaling in tumor suppression and affinity matrix bioengineering. His teaching philosophy emphasizes active and team-based learning, and he instructs courses including Cellular and Molecular Biology, Developmental Biology, and Cancer Biology. His research team includes advisees like Ramya Singh, Sadaf Sangari, and Kara Vanden Broek, who present at conferences such as the International C. elegans Conference. Key areas of exploration include scaffold proteins like RACK-1 and the role of the RNA-induced silencing complex (RISC) in stem cell regulation.

• Policy Design
• Strategic Foresight
• Social Impact
• +۶ مورد دیگر

Ned Rava is an academic and practitioner with 20 years of experience in organizational change, strategy, and innovation. He holds a Lecturer position in Strategy and Social Complexity at the MBA program of the American University of BiH. Previously, he served as an Assistant Professor for Strategic Management at the University of BK. His expertise spans policy design, strategic foresight, systemic change, and democratic governance. Rava advises major international bodies including the United Nations Development Group on Integrated Policy for the Sustainable Development Goals (SDGs), the UN Capital Development Fund on financial inclusion strategies, and the Global Centre for Public Service Excellence on strategic foresight approaches. Education: Master of Design in Strategic Foresight (OCADU), PhD in Quality of Democracy (CIRPAC), MA in Comparative Politics (University of Siena), and BSc in Management (UBK) Key Research Areas: Integrated Policy Design for SDGs, AI policy frameworks, systemic design for complex socio-technical systems, and impact investing Notable Contributions: Developed foresight methodologies for Canada’s future strategy, led UN policy evaluations, and published extensively on institutional innovation Rava’s work emphasizes bridging theory and practice, with a focus on multi-stakeholder collaboration and complexity-aware policy frameworks. His publications include seminal works on policy design methodologies and systemic functional reviews of public administration systems.