جستجوی استاد راهنمای دانشگاهی

Dr. Khurram Aziz is a Senior Instructor in the Faculty of Computer Science at Dalhousie University , Halifax, Canada. He is actively engaged in teaching and research, with a focus on optical networks, data center interconnects, and network performance modeling. Education: PhD in Electrical Engineering, Vienna University of Technology, Austria (2008) MSc in Electrical Engineering, National University of Singapore (2003) BSc (Hons) in Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan (1998) His research interests include optical packet and burst switched networks , optical interconnects for data centers , analytical modeling and simulation , and network routing and switching . He has contributed extensively to the design and performance evaluation of scalable optical switches and hybrid switching systems. The recent publications reflect a strong trend in data center optical networks , focusing on performance, blocking probability, signal degradation, and architectural classification. His work bridges theoretical modeling with practical simulation frameworks, such as CloudNetSim++ in OMNeT++, contributing to cloud and high-capacity network research. Dr. Aziz has no listed scientific awards in the provided text. He teaches several core computer science courses including CSCI 2141: Intro to Database Systems , CSCI 3171: Network Computing , CSCI 3132: Object Orientation and Generic Programming , and CSCI 3120: Operating Systems . There is no mention of graduate student supervision or external research grants. He has co-authored book chapters in major handbooks on data centers and switched systems. Dr. Aziz has not listed any formal lab or research team affiliations in the provided content.

• Optical Networks
• Data Center Networks
• Optical Interconnects
• +۷ مورد دیگر

Dr. Gabriel Wainer is a Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He leads the Advanced Real-Time Simulation Lab and specializes in modeling and simulation methodologies, particularly focusing on discrete event systems, real-time modeling, cellular automata, and DEVS formalism. Research Interests: Discrete event systems, DEVS formalism, cellular automata, real-time simulation, IoT applications, and parallel/distributed simulation Affiliation: Carleton University Recent publications highlight his work in advanced simulation frameworks, energy-efficient 5G systems using deep reinforcement learning, and pandemic modeling with cellular automata. His lab develops tools like PROMETHEUS and Devsmap for standardized DEVS model representation, while also exploring applications in wireless communication, building energy systems, and behavioral epidemiology.

• Modelling and Simulation Methodologies
• Discrete Event Systems
• Real-Time Modelling
• +۷ مورد دیگر

Carl Tropper is Professor Emeritus of Computer Science at McGill University, specializing in parallel discrete-event simulation. His research develops synchronization algorithms for large-scale systems including VLSI circuits, gravitational N-body simulations, and neuronal reaction-diffusion models. Education: BSc, McGill University PhD, Polytechnic Institute of New York Professional Experience: Former positions at Boeing, MITRE, and Caltech's Jet Propulsion Laboratory

• Parallel Simulation
• Distributed Systems
• VLSI Circuit Simulation
• +۲ مورد دیگر

Vera Pantelic is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University. Her research focuses on software engineering practices for model-based development in automotive systems, particularly centralized Electrical/Electronic (E/E) architectures, Simulink modeling, and supervisory control of probabilistic discrete event systems. Education: Not explicitly mentioned in the text. Her scholarly activity includes extensive contributions to conferences and journals in automotive software engineering, model transformation, and real-time systems. Her work addresses challenges in modularity, documentation, and compliance within automotive embedded systems. Her recent publications emphasize advancements in centralized E/E architectures, model-driven testing, and assurance cases for automotive safety. She collaborates on topics integrating software engineering principles with automotive domain requirements. Scientific Awards: No specific awards mentioned in the text. She serves as an advisor in software engineering, though specific student names are not listed. Her projects involve simulation-based testing, model refactoring, and compliance frameworks, supported by industry partnerships and academic grants. Her work contributes to labs and teams focused on automotive software reliability and model-driven engineering. No explicit lab or team affiliations are detailed in the provided text.

• Software Engineering
• Model-Driven Engineering
• Automotive Embedded Systems
• +۳ مورد دیگر

Dr. Tommaso Schettini is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on transportation systems optimization, including electric vehicle charger location, metro timetabling, and demand-driven scheduling strategies. He holds an ORCID identifier (0000-0003-2578-1539) and supervises Master's and PhD students in Industrial Engineering. His work integrates operations research techniques like Benders decomposition and metaheuristics to solve real-world transportation and manufacturing challenges. Research Areas: Electric Vehicle Infrastructure Planning, Metro Timetabling Strategies, Integer Programming, Discrete Simulation-based Optimization, and Combinatorial Optimization. Notable contributions include developing pattern-based algorithms for short-turning metro lines and optimizing micro-mobility integration with public transit. His articles span 2016–2024, emphasizing demand-driven approaches in transportation and manufacturing systems.

• Electric Vehicle Charger Location
• Public Transit
• Metro Timetabling
• +۴ مورد دیگر

Professor Patrick Jonathan is a Full Professor at the Telfer School of Management, University of Ottawa. His research focuses on applying operations research methods to healthcare management challenges, particularly in patient scheduling, capacity planning, and disaster response logistics. He holds a B.A.Sc. from McMaster University, M.Sc. and Ph.D. from the University of British Columbia (UBC). Key research areas include healthcare system efficiency, stochastic optimization, approximate dynamic programming, and resource allocation in emergency and long-term care settings. He has contributed to projects like optimizing inpatient unit staffing during pandemics and developing robust logistics models for disaster relief operations. Education: B.A.Sc. (McMaster), M.Sc. (UBC), Ph.D. (UBC) Affiliations: INFORMS, CORS, Centre for Health Care Management (UBC) Recent work emphasizes pandemic-related healthcare operations, including staff scheduling under crisis conditions and elective patient admission strategies during the COVID-19 pandemic. His research also addresses dynamic home care routing and multi-priority patient scheduling policies. He has secured over $2.3 million in research funding through grants from NSERC, MITACS, and the National Research Council. Notable projects include the 'Resilience and Adaptation to Climatic Extreme (RACE) Wildfires' initiative and 'Stochasticity in Approximate Dynamic Programming.' Labs/Teams: Collaborates with interdisciplinary teams on healthcare logistics and emergency department optimization projects.

• Health Care Management
• Operations Research
• Patient Scheduling
• +۵ مورد دیگر

Simaan Abourizk, PhD, PEng, is the Dean of the Faculty of Engineering at the University of Alberta and holds the rank of Professor in Construction Engineering and Management. He also served as the NSERC/Alberta Construction Industry Research Chair (1997–2011) and Canada Research Chair in Operations Simulation (2001–2008). His roles include Executive Board membership at the Construction Research Institute of Canada. Education: Doctor of Philosophy in Construction Engineering and Management from Purdue University (1990), Master of Science and Bachelor of Civil Engineering (Honors) from Georgia Institute of Technology (1985 and 1984). Research focuses on advancing simulation technologies for construction and natural resource industries, including: Development of the Simphony simulation environment and COSYE framework Integration of AI, visualization, and scheduling tools (e.g., SmartEst, MTRACK) Optimization of tunneling, modular assembly, and industrial fabrication processes Key awards include the E. Whitman Wright Award (2002), E.W.R. Steacie Memorial Fellowship (2001), and Walter Shanly Award (2001). Current projects emphasize synthetic environments, safety analytics, and data-driven decision support systems in construction. He leads initiatives on risk simulation, resource allocation, and industrial automation.

• Construction Engineering
• Simulation Science
• Information Technology in Construction
• +۳ مورد دیگر

Yasser Mohamed is a Professor in the Civil and Environmental Engineering Department at the University of Alberta . His academic and professional focus revolves around construction engineering, discrete-event simulation, and process optimization for industrial and tunneling operations. He has also explored knowledge engineering techniques and the application of TRIZ (Theory of Inventive Problem Solving) to construction processes. Email: yaly@ualberta.ca Location: 7-269 Donadeo Innovation Centre For Engineering, Edmonton, AB Courses Taught: CIV E 603 (Construction Informatics), CIV E 606 (Design and Analysis of Construction Operations) His research emphasizes modeling construction processes using discrete-event simulation to optimize performance and develop synthetic environments for construction operations. Recent publications, however, indicate a shift toward power systems, focusing on DC microgrids , grid-forming converters , and renewable energy integration . Scientific Awards: None explicitly mentioned in the provided data. Advising and Grants: No formal advisees listed. A co-applicant on a CRD grant (2007–present) for synthetic environments in construction simulation.

• Construction Engineering
• Discrete-Event Simulation
• Industrial Construction
• +۶ مورد دیگر

Kexue Zhang is an Assistant Professor and Verner Family Faculty Fellow at Queen's University, holding a joint appointment in the Department of Mathematics and Statistics within the Faculty of Arts and Science and the Department of Electrical and Computer Engineering in the Stephen J.R. Smith Faculty of Engineering and Applied Science . He earned dual PhDs in Applied Mathematics (University of Waterloo) and Control Theory and Control Engineering (Shandong University), followed by postdoctoral positions at Queen's University, the University of Calgary, and the Pacific Institute for the Mathematical Sciences. His research focuses on hybrid dynamical systems , control theory , and applications in time-delay systems , nonlinear control , and dynamical systems on time scales . Key interests include event-triggered control, distributed convex optimization, and stability analysis of complex systems. Research Trends in Publications: Recent work emphasizes event-triggered stabilization, time-delay systems, and impulsive control strategies. His 2020–2024 articles highlight advancements in Zeno-behavior exclusion, synchronization of dynamical networks, and Lyapunov-based stability criteria for hybrid systems. Awards: Verner Family Faculty Fellow, Queen's University Advising and grants: Currently mentoring students in hybrid systems and time-delay control. Active in collaborative research projects across engineering and applied mathematics disciplines. Labs/Teams: Engaged in interdisciplinary research groups focused on systems control, automation, and mathematical modeling at Queen's University.

• Hybrid Dynamical Systems and Control Theory
• Time-Delay Systems
• Nonlinear and Hybrid Control Systems
• +۷ مورد دیگر

Charmaine Dean is the Vice-President, Research and Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. She holds leadership roles in research administration and academic governance, including previous service as Dean of Science at Western University and Associate Dean at Simon Fraser University. Dr. Dean earned her Ph.D. in Statistics from the University of Waterloo in 1988. Her research focuses on biostatistics, environmental science, and spatio-temporal analysis, with applications to public health, wildfire management, and ecological modeling. Notable contributions include disease mapping, clinical trial design, and statistical methods for analyzing wildfire risk and forest ecology. She has received prestigious awards such as the CRM-SSC Prize, Fellowships from leading statistical societies, and the L’Ordre des Palmes Académiques from France. Her service includes roles on advisory boards for institutions like the Pacific Institute for the Mathematical Sciences and the Banff International Research Station. Dr. Dean’s work bridges academic research and policy, with impactful contributions to environmental and public health policy through interdisciplinary collaborations. Her research group’s activities include developing statistical tools for environmental risk assessment and pandemic response.

• Biostatistics
• Environmental Science
• Epidemiology
• +۷ مورد دیگر

Dr. Katherine Davies is an Assistant Professor in the Department of Mathematics and Statistics at McMaster University. She holds a B.Sc. (2002) and M.Sc. (2004) in Mathematics and Statistics from McMaster, and a Ph.D. in Statistics (2008) from Western University. Prior to joining McMaster, she spent 14 years at the University of Manitoba, where she was promoted to Associate Professor. Her research focuses on statistical theory and modeling, particularly the analysis of lifetime data, censoring methodologies, and distribution theory with applications in engineering and medical sciences. She has supervised multiple graduate students and maintains international collaborations. Dr. Davies teaches undergraduate and graduate courses including Generalized Linear Models, Applied Regression Analysis, and Introduction to Probability. She is an active member of the Statistical Society of Canada and founded the 'Steering Women into Statistics' outreach initiative.

• Statistical Theory and Modeling
• Lifetime Data Analysis
• Censoring Methodologies
• +۱ مورد دیگر

Mojtaba Araghi is an Associate Professor at the Lazaridis School of Business and Economics, Wilfrid Laurier University. His research focuses on optimizing service operations, supply chain coordination, and stochastic modeling in business contexts. His primary research interests include: Service operations management and queueing systems Integration of operations and marketing functions Stochastic processes in business decision-making Supply chain coordination mechanisms Pricing and resource allocation strategies Araghi's publications demonstrate consistent focus on operational efficiency, particularly in healthcare logistics, retail management, and service system optimization. His work frequently applies advanced quantitative methods including discrete event simulation, optimization modeling, and stochastic analysis to real-world business challenges.

• Service operations management
• Operations management/marketing interface
• Queueing theory
• +۲ مورد دیگر

Ala'a Al-Habashna is an Adjunct Professor at Carleton University's School of Computer Science within the Faculty of Engineering and Design. He holds a PhD from Carleton University and focuses on advanced wireless communication systems, 5G/6G networks, machine learning applications, and discrete-event simulation. His research integrates AI-driven solutions for network optimization, spectrum management, and smart urban infrastructure analysis. Education: PhD in Computer Science, Carleton University Research Interests: 5G/6G Networks, Machine Learning for Communications, Cognitive Radio Systems, IoT Integration, and Urban Modeling via Computer Vision Focus on resource allocation algorithms, channel modeling, and AI-driven network architectures Key Article Trends: Recent work emphasizes AI integration in next-gen networks (e.g., RIS-assisted MIMO, GenAI-6G), 5G energy efficiency, and urban analytics using street-view imagery. Earlier contributions include DEVS-based simulation frameworks for fire modeling and D2D video streaming optimization. Collaborations & Funding: Active partnerships include Ericsson Canada for projects like Channel Reconstruction for LTE/NR and Spectrum Sharing with Machine Learning . A funded PhD position is available in Wireless Communication and 5G Networks requiring expertise in Mathematical Optimization. Labs & Teams: Engaged in Ericsson-Carleton Partnership initiatives and leads interdisciplinary teams addressing 6G challenges. Research leverages Carleton's advanced wireless and AI facilities.

• Wireless Communication Networks
• 5G/6G Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Rajbir Bhatti is an Associate Professor of Supply Chain Management at Mount Royal University's Bissett School of Business. He holds a PhD in Supply Chain Management and advanced degrees in Industrial Engineering (M.Tech and B.Tech). He actively serves on the Board of Directors of the Canadian Supply Chain Sector Council (CSCSC), advising on human resource strategies for Canada's supply chain sector. His research focuses on sustainable supply chains, carbon footprint reduction, and operational efficiency through Total Productive Maintenance (TPM) in SMEs, as well as performance evaluation using Network Data Envelopment Analysis (NDEA). Education: PhD: Supply Chain Management M.Tech: Industrial Engineering B.Tech: Industrial Engineering His research interests emphasize: Carbon footprint modeling and logistics sustainability Warehouse safety linked to organizational design TPM implementation in manufacturing sectors 3PL/4PL selection models using fuzzy logic and AHP Data-driven supply chain risk mitigation strategies His recent publications highlight advancements in post-pandemic supply chain resilience, machine learning for economic revival, and TPM frameworks for SMEs. He has authored a book and serves as Editor-in-Chief (Emeritus) of the International Journal of Applied Industrial Engineering. Awards: Outstanding Reviewer Award (2012), Journal of Modeling in Management Teaching expertise spans operations management, quality systems, global supply chains, and business statistics. He has advised one PhD and three Master's students, and contributed to curriculum development for industrial engineering programs. His professional service includes roles on the Mount Royal University General Faculties Council and transportation strategy panels for Calgary.

• Supply Chain Management
• Carbon Footprint Modeling
• Warehousing Safety
• +۵ مورد دیگر

Andrew J. Park is a faculty member in the Computing Science department at Trinity Western University’s Faculty of Natural & Applied Sciences. His research integrates interactive data analytics, visualization, and agent-based modeling to address complex social issues in criminology, cybersecurity, and public safety. Education : PhD in Interactive Arts and Technology (Simon Fraser University, 2008), MSc in Computer Science (Loyola University Chicago, 1998), BSc in Mathematics and Physics (Sogang University, 1993 and 1991). Dr. Park specializes in 3D virtual environments for simulating criminal and crowd behaviors, leveraging AI, machine learning, and social network analysis on big data (crime statistics, Darkweb forums, AIS streams). His work informs counter-terrorism, fire egress planning, and urban security strategies. Recent publications focus on agent-based simulations for crowd control (2021) and social network analysis of illegal fishing (2020), alongside awards such as the MITACS-Accelerate Stipend (2010-2011) and multiple internal research grants (2011-2019). He teaches courses in programming, data structures, and virtual reality. Scientific Awards : Research Training Recognition Fund (2019, 2018), TRU World Internal Fund (2015), Research Enhancement Fund (2011-2012), MITACS-Accelerate Stipend (2010-2011), President’s PhD Research Stipend (2006), and Graduate Fellowships (2004, 2005).

• Interactive Data Analytics
• Visual Analytics
• Computational Criminology
• +۵ مورد دیگر