جستجوی استاد راهنمای دانشگاهی

Yanglei Songمشاهده پروفایل

استادیار

• Sequential Decision-Making
• Mathematical Statistics
• High-Dimensional Statistics
• +۷ مورد دیگر

Yanglei Song is an Assistant Professor in the Department of Mathematics and Statistics at Queen's University, affiliated with the Faculty of Arts and Science. His research focuses on sequential decision-making problems, including hypothesis testing, change detection, and multi-armed bandits, alongside mathematical statistics such as U-statistics, high-dimensional statistics, and cut-point analysis. Education: Ph.D. in Statistics, University of Illinois at Urbana-Champaign (2019) M.Sc. in Mathematics, University of Illinois at Urbana-Champaign (2016) B.Eng. in Electronic Engineering, Tsinghua University (2012) Research Interests: Sequential decision-making frameworks with applications in hypothesis testing and stochastic optimization. Statistical methodologies for high-dimensional data and nonparametric modeling. Development of robust algorithms for reinforcement learning and adaptive systems. Mathematical foundations of U-statistics and their computational guarantees. Publications Trends: Recent work emphasizes theoretical advancements in bandit algorithms, robust model approximation, and statistical inference under covariate-adaptive randomization. Contributions span machine learning, computational statistics, and applied mathematics, with a focus on practical implementations and rigorous theoretical analysis. Students: J. Liu Y. Zhou Z. Wang Z. Zhao N. Li M. Zhou Labs/Teams: Maintains an active research group focused on statistical learning and sequential decision-making, with open-source projects such as Stratified incomplete local simplex tests for nonparametric regression analysis.

Istvan Davidمشاهده پروفایل

استادیار

• Sustainable Systems Engineering
• Digital Twins
• Modeling and Simulation
• +۶ مورد دیگر

Dr. Istvan David is an Assistant Professor in the Department of Computing and Software at McMaster University. He teaches courses including CAS 782 (Engineering Digital Twins), SFWRENG 2AA4 (Software Design I), and SFWRENG 3S03 (Software Testing). His research focuses on sustainable systems engineering, digital twins, modeling and simulation, and cyber-biophysical systems. He is actively involved in the "Digital & Smart Systems" and "Environment" research clusters. Dr. David's work emphasizes model-driven engineering, multi-paradigm modeling, and software development methodologies. His expertise includes real-time monitoring and control of complex systems through digital twins, with applications in smart cities, industrial automation, and precision agriculture. He emphasizes integrating modeling, data management, and closed-loop control in his teaching and research. Contact: istvan.david@mcmaster.ca , Office: ITB 160

Sarah Rossمشاهده پروفایل

استادیار

• Work Teams
• Knowledge Exchange in Groups
• Organizational Behaviour
• +۳ مورد دیگر

Sarah Ross is an Assistant Professor at the Department of Management and Organizational Studies at Western University, a position she has held since 2014. She earned her PhD, MA, and BA in Psychology from Western University, focusing on work teams and knowledge exchange in groups. Her research emphasizes evidence-based management and organizational behavior, exploring how teams share knowledge and apply empirical approaches to management. Education: PhD in Psychology, University of Western Ontario (2011) MA in Psychology, University of Western Ontario (2005) BA Honors Psychology, University of Western Ontario (2003) Research Interests: Sarah’s work centers on work teams, knowledge exchange dynamics, and the application of evidence-based practices in management. She investigates how organizational structures and behaviors influence team performance and decision-making. Her studies also address the translation of academic research into practical management strategies. Awards and Honors: SSHRC Canada Graduate Scholarship (Doctoral, 2005–2008) USC Teaching Award of Excellence (2016) Western University Residence Life Teaching Award of Excellence (2016) Fellowship in Teaching Excellence (2015) Teaching and Engagement: Sarah teaches courses such as Organizational Behavior and Evidence-Based Management, often incorporating online platforms. She has received training in e-learning and instructional design, and has been a faculty mentor in residence. Her teaching philosophy emphasizes student engagement and innovative pedagogy. Additional Projects: Sarah has collaborated on normative research for neuropsychological testing, employee engagement analysis, and textbook reviews in industrial/organizational psychology. She also contributed to training evaluation and job satisfaction studies for organizations.

Mikko Karttunenمشاهده پروفایل

استاد

• Computational Chemistry
• Biological Physics
• Soft Matter
• +۴ مورد دیگر

Dr. Mikko Karttunen is a Professor at Western University, holding joint appointments in the Department of Physics & Astronomy and the Department of Chemistry. He is a Canada Research Chair Tier 1 in Computational Materials and Biomaterials Research. His research focuses on computational studies of biological and soft matter systems, with particular emphasis on lipid membranes, biomaterials, and machine learning applications in materials science. Dr. Karttunen earned his PhD in Condensed Matter Physics from McGill University (1999) and MSc in Physics from Tampere University of Technology (1993). He has held previous positions at Eindhoven University of Technology (Netherlands), the University of Waterloo, and was a postdoctoral fellow at the Max Planck Institute for Polymer Research in Germany. His research interests span computational chemistry, biological physics, and materials science, with projects involving molecular dynamics simulations, AI-driven modeling, and collaborations with experimental groups. Key areas include lipid diffusion, membrane proteins, magnetic materials, and drug delivery systems. Dr. Karttunen has received prestigious awards including the Finnish Academy of Science and Letters membership, Ontario Early Researcher Award, and NSERC Discovery Accelerator. His group actively collaborates globally and hosts researchers from over 17 countries. His work integrates theory, simulation, and machine learning to address challenges in biomaterials, drug design, and soft matter physics, with applications in biomedicine and nanotechnology.

Lawrence Widrowمشاهده پروفایل

استاد

• Galactic Dynamics
• Dark Matter
• Cosmology
• +۲ مورد دیگر

Lawrence Widrow is a Professor in the Department of Physics, Engineering Physics & Astronomy at Queen's University, where he leads research in theoretical astrophysics and cosmology. He earned his PhD from the University of Chicago under Michael Turner and held postdoctoral positions at Harvard-Smithsonian Center for Astrophysics and Canadian Institute for Theoretical Astrophysics. Research focuses on galactic dynamics, dark matter, and cosmic structure formation. Key contributions include: Galactoseismology (studying galactic disk perturbations via SEGUE/Gaia data), equilibrium modeling of the Milky Way, orbital torus imaging techniques, dark matter substructure analysis, and simulations of disk-halo interactions. Recent work explores pulsar-based dark matter detection, phase mixing theory, and fuzzy dark matter dynamics. Methodological innovations include the GalactICS code for equilibrium initial conditions, discrete spectral analysis of phase space, and MilkyWay@home distributed computing for stream reconstruction. No scientific awards, students, or laboratory affiliations are detailed in the provided information.

Divya Kaur Mattaمشاهده پروفایل

استادیار

• Photosynthesis
• Computational Chemistry
• Biophysics
• +۶ مورد دیگر

Divya Kaur Matta is an Assistant Professor in the Department of Chemistry at Brock University. Her research focuses on computational studies of charge and energy transfer reactions in photosynthetic proteins, leveraging advanced techniques like Molecular Dynamics (MD), Multi Conformation Continuum Electrostatics (MCCE), and Density Functional Theory (DFT). She collaborates with experimental groups to analyze structural and mechanistic details of photosynthesis. Education: B.Sc (2007) and M.Sc (2009) from University of Delhi; M.Phil (2017) and Ph.D (2021) from The Graduate Center, The City University of New York. Research Keywords: Electron transfer, Photosynthesis, Computational Chemistry, DFT, MD simulations, MCCE, Energy transfer. Her work aims to design artificial systems for solar energy conversion into biofuels. She supervises graduate students and postdoctoral researchers, emphasizing EDI initiatives in lab recruitment. She teaches courses in physical chemistry, biophysics, and biotechnology. Key Publications: Explore proton pathways in Photosystem II, quantum descriptors of chlorophylls, and Monte Carlo sampling for water channels. Scientific Awards: FMS Research Award (2024) Her lab offers partial stipends and part-time employment to selected candidates, prioritizing those with programming experience or EDI leadership.

Peter Bergمشاهده پروفایل

استاد

• Applied Mathematics
• Theoretical Physics
• Electro-kinetic Fluid Flows
• +۵ مورد دیگر

Peter Berg is the Dean of the Faculty of Mathematics & Science at Brock University and holds the rank of Professor in the Department of Physics. He earned a PhD in Mathematics from the University of Bristol and a Diplom in Physik from the University of Muenster. His research focuses on applied mathematics and theoretical physics, particularly electro-kinetic fluid flows in electrochemical energy systems like fuel cells. He has secured over $4.0m in funding from agencies such as NSERC, CFI, and international collaborations. Berg has authored/edited 45+ journal papers, 15 conference proceedings, and a book on sustainability dilemmas. Education & Professional Background - PhD in Mathematics, University of Bristol, UK - Physik Diplom, University of Muenster, Germany - Former Chair of the Department of Science at the University of Alberta (2015-2022) - Leadership roles including NTNU Leadership Program and Gold College Leadership Program Research Contributions Berg’s work bridges applied mathematics and electrochemical engineering, with emphasis on pore-network models for PEM fuel cells, nanofluidic energy conversion, and water management in energy systems. His studies address challenges in renewable energy storage and efficiency, leveraging computational and analytical methods. Teaching & Mentorship Berg advocates for student-driven learning environments and has developed innovative curricula including the 3-11 academic calendar at the University of Alberta. He supervises postdoctoral fellows, PhD/MSc students, and undergraduate researchers, emphasizing computational physics and numerical methods in coursework. Outreach & Leadership Organized major international workshops such as “Nanoscale Physics of Electrochemical Media” (2021) and public lectures on energy sustainability. Active in global education initiatives like the computational-physics platform project at the University of Eswatini (2021-2023).

Thomas E. Bakerمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Algorithms
• Entanglement Renormalization
• +۴ مورد دیگر

Dr. Thomas E. Baker is an Assistant Professor and Canada Research Chair in Quantum Computing for Modelling of Molecules and Materials at the University of Victoria. He holds joint appointments in the Departments of Physics & Astronomy and Chemistry. His research focuses on quantum computing, quantum algorithms, and entanglement renormalization, with applications to quantum chemistry and density functional theory. He leads the sensing and quantum materials cluster under the Office of the VPRI and is a member of Quantum BC and the Centre for Advanced Materials and Related Technology. Education: M.Sc. (California State University Long Beach), PhD (University of California, Irvine), postdoctoral fellow at the Institute for Quantum Computing (IQ) at Université de Sherbrooke, and Fulbright U.S. Scholar at the University of York, UK. Research interests include quantum information processing, quantum error correction, and tensor networks. His team develops the DMRjulia library, a Julia-based tool for entanglement renormalization computations. Recent work emphasizes quantum algorithm design for near-term quantum computers and theoretical foundations of quantum materials. Scientific Awards: Fulbright U.S. Scholar (2018). Teaching includes graduate courses on quantum physics, computational methods, and tensor networks. He actively mentors students across physics, chemistry, and computer science backgrounds. Labs/Teams: Principal Investigator of the sensing and quantum materials cluster, co-developer of DMRjulia, collaborator in Quantum BC.

Deborah Harrisمشاهده پروفایل

استاد

• Neutrino Physics
• Particle Physics
• High Energy Physics
• +۳ مورد دیگر

Deborah Harris is a Full Professor (Research Stream) in the Department of Physics and Astronomy at York University, holding a joint appointment with Fermilab as a Senior Scientist. She specializes in neutrino physics, focusing on oscillations and interactions, with key roles in major international experiments such as DUNE, MINERvA, and T2K. Her research aims to elucidate neutrino properties, their impact on astrophysical phenomena like galaxy formation, and the matter-antimatter imbalance in the universe. Education: Bachelor's in Physics from the University of California-Berkeley PhD from the University of Chicago (Experiment E799 on neutral kaons) Postdoctoral research at the University of Rochester (NuTeV Experiment) Research Interests: Neutrino oscillations, neutrino-nucleus interactions, and experimental precision in particle physics. She works on DUNE’s near detector to refine interaction models and is co-spokesperson of MINERvA, which provides foundational data for future neutrino experiments. Her involvement with T2K leverages near-far detector strategies critical for DUNE’s success. Publications Trends: Her recent work emphasizes cross-section measurements, detector design for neutrino experiments (e.g., DUNE single-phase technology), and improving neutrino flux predictions through collaborations like EMPHATIC. She bridges experimental data with theoretical models to address uncertainties in neutrino behavior. Awards: While no explicit awards are listed, her leadership roles in MINERvA (co-spokesperson since 2010) and DUNE highlight her impactful contributions to neutrino physics. She has received recognition through her outreach initiatives, including featured profiles in Women @ Energy and public lectures on neutrino experiments. Advising & Grants: As part of the Physics and Astronomy Graduate Program at York, she supervises advisees. Her grants support her roles in international collaborations; details are omitted but reflect her contributions to detector development and neutrino research infrastructure. She has managed large-scale projects, such as the MINERvA construction as a postdoctoral researcher. Labs & Teams: Active in the DUNE, MINERvA, and T2K collaborations. She leads efforts in cross-section measurements at MINERvA and contributes to T2K’s near detector strategies. Her work integratesYork’s academic resources with Fermilab’s experimental facilities.

James Andrew Smithمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Robotics
• Biomechanics
• +۷ مورد دیگر

Dr. James Andrew Smith is an Associate Professor in the Electrical Engineering & Computer Science Department at York University’s Lassonde School of Engineering . He holds a PhD in Mechanical Engineering from McGill University and postdoctoral experience at the University of Jena's Institute for Sports Science. Previously, he directed biomedical engineering programs at Ryerson University (now Toronto Metropolitan University).

Sebastian Magierowskiمشاهده پروفایل

دانشیار

• Semiconductors
• Electronics
• Bioinformatics
• +۵ مورد دیگر

Sebastian Magierowski is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. He holds a P.Eng designation and has held faculty positions at the University of Calgary (2004–2012) and York University since 2013. His research focuses on semiconductor systems, bioinformatics, and artificial intelligence, with particular emphasis on energy-efficient analog/digital chips, CAD/EDA tools, and applications like mobile DNA sequencing and DNA-based data storage. Dr. Magierowski's academic journey includes a PhD in Electrical Engineering from the University of Toronto (2004). His work bridges electrical engineering and biomedical innovation, with contributions to CMOS-based nanopore DNA sequencing systems, capacitive sensors for DNA storage monitoring, and FPGA-accelerated bioinformatics tools. His research also explores hardware acceleration for embedded systems and novel sensing technologies for point-of-care diagnostics. Key research themes include: Development of semiconductor-based biosensors (e.g., CMOS nanopore systems) Design of compact, portable diagnostic devices Integration of AI and machine learning in bioinformatics pipelines Advances in DNA data storage and retrieval mechanisms His recent publications highlight innovations in low-power circuits for DNA sequencing, thermo-FET sensing systems, and embedded RISC-V multicore architectures for miniature devices. While no awards are explicitly listed, his extensive publication record reflects impactful contributions to interdisciplinary engineering and biomedical research. Dr. Magierowski's work emphasizes cross-disciplinary collaboration, with applications spanning healthcare, environmental monitoring, and data storage. His research group focuses on translating theoretical advancements into practical, scalable technologies for emerging biomedical and computational challenges.

Cliff Shawمشاهده پروفایل

استاد

• Igneous Processes
• Petrology
• Magmatic Systems
• +۳ مورد دیگر

Cliff Shaw is a Professor in the Department of Earth Sciences at the University of New Brunswick (UNB), specializing in experimental petrology and igneous processes. His work focuses on mantle xenoliths, magmatic system dynamics, and high-pressure mineral synthesis. He maintains advanced experimental facilities including piston cylinder presses and hydrothermal apparatus. Shaw investigates the kinetics of mineral-melt reactions, the petrology of Quaternary volcanic regions like Germany's West Eifel, and shock metamorphism in meteorites. His research bridges field observations, laboratory experiments, and computational modeling to understand crust-mantle interactions and magma evolution. He holds a PhD and has contributed to global topographical density models (e.g., UNB_TopoDens) for geophysical applications. Education: PhD in Earth Sciences (institution unspecified). Equipment: Includes 2 piston cylinder presses (up to 4 GPa/2000°C), an atmosphere gas mixing oven (up to 1600°C), hydrothermal apparatus (0.3 GPa/850°C), and an ultrahigh-temperature furnace (1750°C). Research Interests: Shaw explores igneous processes through experimental studies of mantle xenoliths, focusing on amphibole breakdown reactions, peridotite-melt interactions, and shock melt formation. His work on the West Eifel Volcanic Field examines volcanic dynamics and mantle heterogeneity. He investigates the origins of magmatic textures, such as sieve structures in xenoliths and peperitic textures in volcanic deposits. Recent studies include modeling magma ascent rates via dehydration signatures and simulating shock melt crystallization in Martian meteorites. Grants & Collaborations: Collaborations with institutions like the University of Munich (D.B. Dingwell) and the University of Orléans (H. Bureau) highlight interdisciplinary projects. His research has advanced methodologies in melt-mineral interaction kinetics and geochemical modeling of mantle processes. Labs/Teams: Leads experimental petrology and geochemistry research groups at UNB, focusing on high-pressure mineral synthesis and melt-rock reaction dynamics.

Shervin Erfaniمشاهده پروفایل

استاد

• Computer & Network Security
• Data Networking
• Communication Network Management
• +۳ مورد دیگر

Dr. Shervin Erfani is a Professor in the Department of Electrical and Computer Engineering at the University of Windsor, Faculty of Engineering. His research focuses on computer and network security, data networking, communication network management, and multidimensional digital filter realization. He holds a position in 3048 CEI and can be reached at erfani@uwindsor.ca. His research interests span a wide range of topics, including IoT security, signal processing in linear time-varying systems, and fractional calculus applications. Recent work emphasizes bifrequency analysis, iterated Laplace transforms, and fractional differential equations. His contributions bridge theoretical advancements with practical implementations in security frameworks and network protocols. Publications highlight trends in secure communication architectures, such as Bitcoin security models and IoT applications, alongside foundational work in signal processing and circuit theory. Collaborations address challenges in network management, spectrum sensing, and system stability.

Kush Bubbarمشاهده پروفایل

استادیار

• Model-Based Design
• Sustainable Energy Systems
• Multi-physics Modeling
• +۳ مورد دیگر

Kush Bubbar is an Assistant Professor at the University of New Brunswick's J Herbert Smith Centre for TME, with expertise in systems modeling for sustainable energy and product development. His research applies graph-theoretical frameworks to multi-physics problems, particularly in marine renewable energy. Industrial experience includes senior engineering roles at SCIEX™ (biomedical tech) and BlackBerry™ (manufacturing systems). Teaching includes Product Design & Development (TME 4025/6025) and Battery Technology Modeling (TME 6386). Professional affiliations include the Canadian Society for Mechanical Engineering and Design Society. He leads the Sys-MoDEL Lab, collaborating with industry partners including Potential Motors™ and NB Power™.

Jueyi Suiمشاهده پروفایل

استاد

• Hydraulics
• Sediment Transport
• River Ice Hydraulics
• +۴ مورد دیگر

Jueyi Sui is a Professor of Environmental Engineering at the University of Northern British Columbia (UNBC), specializing in cold region hydraulics and hydrology, river ice hydraulics, and snow hydrology. He holds a Dr.-Ing. from Technische Universität Kaiserslautern and is affiliated with the Engineering and NRES Graduate Program. Sui’s research focuses on sediment transport, fluvial hydraulics under ice-covered conditions, and watershed studies. He has attracted over $700,000 in research grants and serves on editorial boards of journals like Journal of Hydrology and Hydromechanics and International Journal of Sediment Research . Education: Dr.-Ing., Water Resources Engineering, Technische Universität Kaiserslautern, Germany (1998) MScE., River Hydraulics, Hefei University of Technology, China (1988) B.Eng., Civil (Hydraulic) Engineering, Hefei University of Technology, China (1985) Research Interests: Sui’s work addresses river ice dynamics, sediment transport under ice cover, snow hydrology, and fluvial hydraulics. He explores topics like local scour around hydraulic structures, turbulence in vegetated channels, and ice jam formation mechanisms. His contributions include over 120 reviewed papers and influential studies on ice-covered hydraulics. Grants & Awards: NSERC Discovery Grant (2014–2019) DAAD Research Ambassador (2012–present) 2014 UNBC Research Excellence Award 2013 WASER Best Paper Award Teaching: Sui teaches courses such as Fluid Mechanics , Environmental Engineering Fundamentals , and Watershed Management . He advises graduate students in the NRES program. Professional Activities: Sui has reviewed over 120 papers and chairs editorial roles for multiple journals. He collaborates internationally, with fieldwork in Canada, Germany, and China.