جست‌وجوی استاد و پژوهشگر

Mina Nouredaneshمشاهده پروفایل

استادیار

• Aging and complex age-related conditions
• Artificial Intelligence for Health
• Wearable Technologies
• +۴ مورد دیگر

Mina Nouredanesh is an Assistant Professor in the Department of Community Health Sciences at the Max Rady College of Medicine, University of Manitoba. She holds a Canada Research Chair (Tier II) in AI for Complex Health Data. Her research focuses on leveraging artificial intelligence and wearable technologies to address complex age-related conditions like Parkinson's disease, dementia, and fall risks in older adults. Dr. Nouredanesh completed a postdoctoral fellowship at McMaster University's School of Rehabilitation Science, followed by a PhD and MASc in Mechanical and Mechatronics Engineering from the University of Waterloo. She also holds a BSc in Electrical Engineering from Amirkabir University of Technology. Her research program has two main themes: predicting complex age-related conditions using multimodal health data and developing personalized technologies for their management. She has published in leading journals and presented at top-tier conferences, collaborating with researchers globally. Awards include grants from AGE-WELL, Vector Institute, and the McMaster Institute for Research on Aging. Dr. Nouredanesh is actively involved in training graduate students (Master's, PhD) and postdoctoral researchers. Her work spans AI applications in rehabilitation, medical imaging, and robotics, with a focus on translational research to improve quality of life for older adults and caregivers.

• Igneous Petrology
• Magmatic Processes
• Ore Deposit Genesis
• +۵ مورد دیگر

Dr. James Mungall is a Professor in the Department of Earth Sciences at Carleton University, affiliated with the Faculty of Science. His research focuses on igneous petrology, magmatic processes, and the genesis of magmatic ore deposits, particularly sulfide and oxide minerals in layered intrusions like the Stillwater Complex (Montana), Bushveld Complex (South Africa), and Sudbury Igneous Complex (Ontario). He employs fieldwork, experimental petrology, and numerical modeling to study magma dynamics, mineral crystallization, and ore-forming mechanisms. Key interests include the physics and chemistry of magmas, platinum-group element (PGE) distribution, and the role of volatiles in sulfide segregation. His work integrates geochemical analyses, geochronology, and thermodynamic modeling to address questions about crust-mantle interactions and ore genesis. Current projects explore the geochemical evolution of layered intrusions, the impact of country rock assimilation on mineralization, and the environmental implications of large igneous provinces. Recent studies highlight the importance of interfacial tension, vapor bubble dynamics, and redox conditions in controlling sulfide accumulation. Dr. Mungall collaborates on global field projects, including the Cape Smith Belt (Quebec), the Karoo Igneous Province (South Africa), and the Brazilian Goiás Magmatic Arc. He advises graduate students interested in quantitative models grounded in field observations and experimental data.

Fatemeh Khoda Parastمشاهده پروفایل

استادیار

• Cybersecurity
• Cyber Threat Intelligence
• Digital Forensics
• +۳ مورد دیگر

Fatemeh Khoda Parast is an Assistant Professor in the Department of Computer Science at the University of New Brunswick (UNB). She previously served as an Assistant Professor at the University of Guelph from September 2023 to September 2024. Her PhD in Computer Science from UNB (2019–2023) focused on the security of large-scale distributed storage systems. She currently researches transforming cyber threat intelligence into rapid defense mechanisms. Education: PhD in Computer Science, University of New Brunswick (2019–2023) Her research interests span cybersecurity, cyber threat intelligence, digital forensics, and cloud storage security. She explores cryptographic solutions for distributed systems and AI-driven threat detection. Recent work includes CephArmor (secure Ceph storage interfaces) and neural network-based RSA cryptanalysis. Her publications address cutting-edge topics like AI in threat intelligence automation and privacy-preserving machine learning for distributed data. No scientific awards are explicitly mentioned. No advising or grant details are provided. Her work contributes to advancing secure cloud infrastructure and cryptographic protocols.

Tirupati Bolisettiمشاهده پروفایل

استاد

• Hydrology
• Climate Change Impact Assessment
• Geothermal Energy
• +۴ مورد دیگر

Dr. Tirupati Bolisetti is a Professor in the Department of Civil and Environmental Engineering at the University of Windsor's Faculty of Engineering. He holds a PhD from the University of Windsor, an MTech from the Indian Institute of Technology (IIT) Kanpur, and a BE from Andhra University, India. His research focuses on hydrology and climate change impact assessment, geothermal energy systems, evaporation from porous surfaces, and climate resiliency of Arctic water infrastructure. Key areas include hydrological modeling, geothermal energy applications, and sustainable urban drainage systems. Selected publications highlight contributions to borehole heat exchanger analysis, low-impact development practices, and climate change impacts on hydropower and hydrology. His work integrates advanced methodologies like Polynomial Chaos Expansion for uncertainty quantification and data assimilation techniques in hydrologic models. Professionally, he is affiliated with the Professional Engineers Ontario (PEO). His research trends emphasize adapting water infrastructure to climate change, advancing geothermal energy technologies, and optimizing urban flood management systems through interdisciplinary modeling approaches.

Shaohong Chengمشاهده پروفایل

استاد

• Structural Engineering
• Wind Engineering
• Structural Dynamics
• +۴ مورد دیگر

Dr. Shaohong Cheng is a Professor in the Department of Civil and Environmental Engineering at the University of Windsor's Faculty of Engineering. His research focuses on structural dynamics, wind-induced structural response, fluid-structure interaction, and advanced materials in construction. He holds a PhD from Carleton University (2000) and degrees from Tongji University (BEng, 1992; MEng, 1995). His research interests span wind engineering , cable network analysis , and vibration control techniques . Recent work includes studies on SMA wire behavior, pedestrian-induced building dynamics, and modal analysis of cable systems. He is affiliated with professional bodies like ASCE and AAWE. Publications reflect expertise in smart materials, nonlinear systems, and structural health monitoring. Over 25 peer-reviewed articles demonstrate contributions to structural dynamics and engineering applications. Advising and grants are not explicitly detailed in the provided text. Laboratory facilities within the Civil and Environmental Engineering department support his experimental and computational research efforts.

Hodjat Shiriمشاهده پروفایل

دانشیار

• Offshore Engineering
• Subsea Pipelines
• Arctic Geotechnics
• +۲ مورد دیگر

Dr. Hodjat Shiri is an Associate Professor in Civil Engineering at Memorial University of Newfoundland, holding the Wood Group Chair in Arctic and Harsh Environments. His research addresses Arctic offshore challenges, including ice-seabed interactions, subsea pipeline design, and reliability assessment. Shiri integrates machine learning with geotechnical modeling to predict iceberg impacts and pipeline performance. Recent work explores trenching techniques, layered seabed responses, and fatigue in riser systems. Publications emphasize practical solutions for energy infrastructure in climate-sensitive regions, combining numerical simulations with field data validation.

Ted Lakowskiمشاهده پروفایل

استاد

• Epigenetics
• DNA Methylation
• LC-MS/MS
• +۳ مورد دیگر

Dr. Ted Lakowski is Professor and Associate Dean (Research) at the College of Pharmacy, University of Manitoba, where he directs the pharmaceutical analysis laboratory. His research examines epigenetic modifications in disease states using advanced LC-MS/MS metabolomic approaches. Research focuses on quantifying histone/DNA modifications and developing targeted epigenetic therapies. Key discoveries include: identifying HDAC inhibitor effects on histone demethylase expression, characterizing DOT1L inhibitor impacts beyond primary targets, and discovering acetylated lysine residues in myelin basic protein relevant to multiple sclerosis. Current projects investigate insemination fraud biomarkers and epigenetic enzyme inhibition strategies. Research employs in vitro, cellular, and animal models across cancer, neurological, and metabolic disorders. The laboratory develops analytical methods for epigenetic modification quantification and drug metabolite tracking, including amantadine metabolite monitoring in glioblastoma. Dr. Lakowski mentors graduate students and postdoctoral fellows in pharmaceutical chemistry, with research supported by national health grants and cancer research organizations.

Geoff Rideoutمشاهده پروفایل

استاد

• Information Theory and Coding
• Materials and Mechanics
• Optical Communications
• +۸ مورد دیگر

Geoff Rideout is the Head of the Mechanical Engineering Department at Memorial University. He holds a B.Eng. from Memorial University (1993), an M.Sc. (Eng.) from Queen's University (1998), and a PhD from the University of Michigan (2001). His research focuses on system dynamics, modeling and simulation, vehicle dynamics, modal testing, and vibration analysis, with notable contributions to drillstring vibration in oil well drilling and vehicle suspension systems. Rideout has received prestigious awards, including the President's Award for Outstanding Teaching (2014) and the Dean's Award for Distinguished Teaching (2013). Educations: B.Eng., Memorial University, 1993 M.Sc. (Eng.), Queen's University, 1998 PhD, University of Michigan, 2001 His research interests span vibration analysis, dynamic system modeling, and applications in oil well drilling, vehicle dynamics, and renewable energy systems. Rideout has developed methods for vibration prediction in drillstrings, fatigue life prognosis, and digital twin-based automation. He is also active in teaching innovation, having flipped large classroom environments and integrated co-op interns into first-year mentoring programs. Awards highlight his teaching excellence and research contributions, including a Best Paper Award at the International Conference on Bond Graph Modeling (2010). His work bridges theoretical modeling (e.g., bond graph techniques) with practical applications in industrial and academic settings. Rideout leads a research program in vehicle dynamics and oilwell drilling vibration analysis, supported by advanced simulation tools. He collaborates on projects such as modal testing for utility poles and vibration suppression in military vehicles. His lab focuses on predictive engineering solutions for complex mechanical systems.

Oscar De Silvaمشاهده پروفایل

استادیار

• Robotics
• Control Systems
• Sensor Design
• +۶ مورد دیگر

Dr. Oscar De Silva is an Assistant Professor in the Department of Mechanical Engineering at Memorial University of Newfoundland. He holds a B.Sc. from the University of Moratuwa, Sri Lanka, and a PhD from Memorial University. His expertise spans instrumentation, controls, mechatronics, and robotics, with a focus on sensor design, state estimation, and navigation systems. Dr. De Silva's research interests include state estimation, control systems, nonlinear dynamics, navigation systems, sensor design, localization, mapping, and intelligent prosthetics. He has contributed to projects such as ice detection systems for marine safety and computer vision for robotics applications. Before his current role, he worked as a research fellow at the American Bureau of Shipping-Harsh Environment Technology Centre and taught at Memorial University as a sessional instructor. His work emphasizes practical applications in autonomous systems, industrial inspection, and environmental monitoring. Notable achievements include the IMechE UK Award for Outstanding Achievement and a Gold Medal in Mechanical Engineering. His research trends focus on integrating AI, LiDAR, and radar technologies for navigation and safety systems in robotics and marine environments. Awards: IMechE UK Award for Outstanding Achievement Gold Medal in Mechanical Engineering (University of Moratuwa) Fellow of Graduate Studies (Memorial University) Advising and Grants: While no specific student names are listed, his role as an Assistant Professor involves academic supervision. His grants and collaborations likely align with his research in robotics and sensor systems, though specific details are not provided here. Labs: He is associated with the Intelligent Systems Lab at Memorial University and previously contributed to the ABS HETC. His work often involves multidisciplinary teams focused on real-world engineering challenges.

Jianming Yangمشاهده پروفایل

استاد

• Vibration and Dynamics
• Mechanical Engineering
• Fatigue Prediction
• +۵ مورد دیگر

Jianming (James) Yang is a Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland. He holds a PhD from Tianjin University and has extensive industry experience as a mechanical design engineer, followed by academic roles at Guilin University of Electronic Technology and University of Shanghai for Science and Technology. His work focuses on mechanical vibration/dynamics, nonlinear random vibration analysis, and fatigue prediction in mechanical systems. Dr. Yang's research emphasizes modeling drillstring dynamics, fatigue control in drilling systems, and random vibration analysis of planetary gear trains in wind turbines. His expertise spans machine design, solid mechanics, and wind turbine simulation. Key contributions include developing empirical models for drilling performance prediction and stochastic linearization techniques for gear dynamics. His academic journey includes post-doctoral studies at Shanghai Jiao Tong University and a career transition from industry to academia in 2003. He has authored numerous publications on mechanical systems, vibration analysis, and renewable energy applications. Notable research trends include advancing predictive models for drilling efficiency, optimizing gear train reliability under random loads, and integrating machine learning for wind turbine performance analysis. Dr. Yang's work bridges theoretical mechanics and practical engineering challenges, contributing to advancements in energy systems and sustainable manufacturing processes.

Clodualdo Aranasمشاهده پروفایل

دانشیار

• Thermomechanical Processing
• Phase Transformations in Metal Alloys
• Corrosion Behavior
• +۵ مورد دیگر

Dr. Clodualdo Aranas is an Associate Professor in the Department of Mechanical Engineering at the University of New Brunswick (UNB). He serves as Director of the Alloy Design and Materials Testing Research Laboratory (AD-MTRL), focusing on advanced materials research. His work emphasizes understanding phase transformations in steels during thermomechanical processing and developing energy-efficient high-strength alloys. Key research areas include alloy development, additive manufacturing of metals, and high-speed deformation testing (dynamic, subsonic, supersonic, and hypervelocity). Dr. Aranas' research explores the dynamic transformation of austenite in steels under plate rolling conditions, leveraging thermodynamic modeling to predict material behavior. His lab investigates novel alloys, corrosion resistance, and non-destructive defect detection. The AD-MTRL collaborates with Flexihub software for remote laboratory equipment access, enhancing research efficiency. His contributions span both ferrous and non-ferrous materials, with a focus on industrial applications such as pipeline steels and biomedical materials. Recent work includes advancements in additive manufacturing techniques like laser powder bed fusion (LPBF) and cold spray, targeting improved mechanical properties and microstructural control. He has published extensively in journals like Materials & Design, Metallurgical and Materials Transactions, and Scripta Materialia, demonstrating expertise in materials characterization, texture analysis, and high-entropy alloys.

Mohsen Mohammadiمشاهده پروفایل

استاد

• Metal Additive Manufacturing
• 3D Printing of Composites
• Cognitive Sensitive Design
• +۴ مورد دیگر

Mohsen Mohammadi is a Professor in the Department of Mechanical Engineering at the University of New Brunswick, where he also serves as Head of the Materials Engineering Research Group. His research specializes in advanced materials processing and characterization with focus areas including metal additive manufacturing, 3D printing of composites, fatigue and fracture mechanics, crystal plasticity modeling, micromechanical analysis, and finite element methods. His laboratory develops innovative approaches for laser powder bed fusion, wire-arc additive manufacturing, and hybrid manufacturing techniques. Current investigations examine microstructure-property relationships in additively manufactured nickel aluminum bronze, titanium alloys, stainless steels, and high-entropy alloys for aerospace, marine, and energy applications. Recent publications demonstrate his work on optimizing mechanical properties through post-processing techniques, characterizing high strain rate behavior, and improving corrosion resistance through microstructure control in additively manufactured components.

Fidel Khouliمشاهده پروفایل

دانشیار

• Aerospace Engineering
• Aeroservoelasticity
• Fly-By-Wire Systems
• +۲ مورد دیگر

Fidel Khouli is an Associate Professor in Mechanical and Aerospace Engineering at Carleton University. His research spans aeroservoelasticity, fly-by-wire systems, bio-inspired micro air vehicles (BMAVs), and helicopter flight dynamics. Current projects focus on developing new sensor/actuator architectures for aerospace applications, reducing weight while enhancing system performance. This includes predicting interactions between aeroelastic models, control laws, and fly-by-wire systems. Additional work includes nonlinear modeling of aircraft landings with novel shock absorbers and bio-inspired flapping-wing mechanisms using smart actuation. Collaborative BMAV research involves designing ultralightweight compliant mechanisms and operational prototypes. Prior to academia, Dr. Khouli spent seven years at Bombardier Aerospace as Dynamics and Aeroservoelasticity Engineer for the Global 7500 business jet program.

Cassandra Morrisonمشاهده پروفایل

استادیار

• Alzheimer’s Disease
• Aging
• Cognitive Neuroscience
• +۶ مورد دیگر

Cassandra Morrison is an Assistant Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. She holds degrees of BSc and PhD from the University of Ottawa and works at the Loeb Building (Office B548). Her research focuses on understanding how cognitive functioning and brain structure change with aging and neurodegenerative diseases, particularly Alzheimer’s. She investigates lifestyle, genetic, and health-related factors influencing cognitive decline, using neuropsychological assessments, EEG, and large open-access datasets. Key areas include neural-cognitive relationships, early biomarkers of dementia, and the role of big data in linking brain changes to clinical outcomes. Her research topics span Alzheimer’s disease, aging processes, subjective cognitive decline, event-related potentials, and computational analysis of neuroimaging data. Recent work emphasizes racial disparities in brain health metrics like white matter hyperintensities and vascular risk factors, as well as sex-based differences in neuropathology and cognitive decline. She also explores how variables like blood pressure, sleep disturbances, and loneliness affect cognitive trajectories in older adults. Dr. Morrison’s publication trends highlight interdisciplinary approaches, combining neuroimaging with machine learning to predict disease progression and validate clinical measures. Her work often addresses health equity concerns, particularly in marginalized populations. While no awards are listed in the provided materials, her contributions to advancing understanding of dementia biomarkers and aging mechanisms are evident through her active research portfolio. No specific grants, advising roles, or affiliated labs/teams are detailed in the provided texts, but her research implications suggest involvement in collaborative projects given her use of large datasets and tools like QRATER (a quality control imaging platform).

Caroline Brunelleمشاهده پروفایل

استاد

• Addictive Disorders
• Clinical Psychology
• Substance Use Treatment
• +۳ مورد دیگر

Dr. Caroline Brunelle is a Professor of Psychology at the University of New Brunswick (Saint John campus) and serves as Honours Coordinator. She holds a PhD in Clinical Psychology from McGill University (2006), following a BA from Laval University (1999). Her doctoral internship at the Centre for Addiction and Mental Health focused on addiction treatment and forensic populations. Her research explores the heterogeneity of addictive disorders, their comorbidity with criminality, and personalized treatment interventions. Teaching interests include clinical health psychology. She contributes actively through roles on the Centre for Criminal Justice Studies advisory board, research ethics board, and Canadian Mental Health Association committees. Her publications (2009–2019) emphasize substance use patterns, healthcare access, and personality-based approaches in offender populations. Though no specific grants or awards are noted, her work bridges clinical practice and community engagement.