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Paul SheridanView profile

Assistant Professor

• Text Analysis
• Ontologies
• Computational Literary Studies
• +6 more

Paul Sheridan is an Assistant Professor at the School of Mathematical and Computational Sciences, University of Prince Edward Island, specializing in text analysis and ontologies for computational literary studies. He develops novel term weighting schemes through statistical significance testing to improve document retrieval, classification, and summarization methods. His Literary Theme Ontology (LTO) provides the first controlled vocabulary of literary themes for media annotation and information retrieval. Research Grants: AI/machine learning for engine maintenance (2024), keyword extraction efficacy analysis (2023–2024), GPT-2 unnatural language generation (2022–2025) Academic Leadership: Statistics and Analytics Program Lead (2024–present), ACENET Research Directorate member His recent publications focus on lexical diversity analysis, term dispersion quantification, and statistical foundations of TF-IDF. He supervises students in projects spanning energy-efficient NLP, causal inference in finance, and low-resource language embeddings. Paul actively contributes to open-source projects like stoRy and PAFit packages.

Mohammed AlmekhlafiView profile

Associate Professor

• Stroke
• Endovascular thrombectomy
• Neurointerventional radiology
• +6 more

Mohammed Almekhlafi is an Associate Professor at the University of Calgary's Cumming School of Medicine with appointments in the Department of Clinical Neurosciences, Department of Radiology, and Department of Community Health Sciences. He is also a Full Member of both the Hotchkiss Brain Institute and O'Brien Institute for Public Health. As an interventional stroke neurologist, Dr. Almekhlafi maintains an active clinical practice at the Foothills Medical Center. Dr. Almekhlafi earned his Bachelor of Medicine and Bachelor of Surgery from King Abdulaziz University in 2003, followed by FRCPC in Neurology from the University of Calgary in 2010, and an MSc in Clinical Epidemiology from the University of Calgary in 2012. His extensive educational background has positioned him at the intersection of clinical practice and research methodology. His primary research focuses on improving outcomes of endovascular therapy for cerebrovascular disorders through optimizing selection and treatments using available and novel imaging and therapeutic techniques. Dr. Almekhlafi's work spans multiple critical areas including endovascular thrombectomy, brain aneurysms, carotid stenosis, cerebral arteriovenous malformation, and selective brain hypothermia. His recent publications demonstrate a strong emphasis on comparative effectiveness research, particularly examining tenecteplase versus alteplase for acute ischemic stroke, workflow optimization in stroke systems of care, and advanced imaging techniques for patient selection. Among his notable achievements is receiving Canada's Governor General's Gold Medal from the University of Calgary in 2013, recognizing exceptional academic accomplishment. His research has resulted in over 400 publications with significant impact in the stroke field. Dr. Almekhlafi actively contributes to multiple large-scale clinical trials and registries including the AcT trial, ESCAPE-NA1, and RESCUE-ICAS registry. His work has substantial implications for clinical practice guidelines and has influenced stroke care systems across Canada. His research team collaborates extensively with neurologists, neuroradiologists, neurosurgeons, and epidemiologists to address critical questions in acute stroke management.

James ZlosnikView profile

Assistant Clinical Professor

• Infectious Diseases
• Immunology
• Microbiology
• +3 more

James Zlosnik is a Clinical Assistant Professor in the Department of Pathology & Laboratory Medicine at the Faculty of Medicine , University of British Columbia , and serves as the Senior Scientist for Bioinformatics at the BC Centre for Disease Control Public Health Laboratory . Education: BSc in Microbiology from Cardiff University PhD in Molecular Microbiology from Imperial College London Post-doctoral Training at BC Children's Hospital His research interests focus on translational microbiology and bioinformatics for pathogen genomics, particularly for antimicrobial-resistant organisms and epidemiological analysis in infectious diseases . He has developed genomic tools for SARS-CoV-2 , mycobacterial diagnostics , and Burkholderia species identification . Scientific work includes Designing bioinformatic pipelines for whole-genome sequencing data Establishing BCCDC protocols for antimicrobial susceptibility testing Leading Canadian Burkholderia cepacia complex repository operations Advancing phylogenetic analysis for H5N1 and Mpox outbreaks He manages laboratory operations for pathogen identification and biofilm testing for cystic fibrosis-related infections, while also contributing to public health response initiatives through genomic surveillance programs.

José Denis-RobichaudView profile

Assistant Professor

• Epidemiology
• Preventive Medicine
• Sustainable Animal Production
• +5 more

José Denis-Robichaud is an Assistant Professor in the Department of Veterinary Biomedicine at the Faculty of Veterinary Medicine, Université de Montréal, with her campus based in Rimouski. She holds board certification as a Diplomate of the American College of Veterinary Preventive Medicine since 2021 and previously worked as an independent consultant-researcher for nearly a decade before joining the faculty. Her educational background includes a Ph.D. in Population Medicine (2017, University of Guelph), an M.Sc. in Veterinary Medicine with specialization in Epidemiology (2013, Université de Montréal), and a Doctor of Veterinary Medicine (D.M.V., 2011, Université de Montréal). She is actively engaged in multiple research networks including GREZOSP (Research Group in Zoonosis Epidemiology and Public Health), RQR (Quebec Network in Reproduction), Op+lait (Research Group for Optimal Quality Milk), and CERCL (Centre for Clinical Expertise and Research in Animal Health and Well-being). Dr. Denis-Robichaud's research spans veterinary epidemiology, dairy cattle health and reproduction, and One Health approaches that integrate animal and human health. Her work frequently examines the intersection of technology, animal health, and producer well-being in agricultural settings. She is currently recruiting Master's students for a project investigating the impact of technologies in dairy farming through a One Health lens, evaluating how smart farming tools affect both cow health and farmer quality of life. Her publication record demonstrates expertise across multiple domains including dairy cattle reproduction, disease diagnostics, veterinary preventive medicine, and public health. Recent publications analyze reproductive tract diseases, metabolic disorders in dairy cows, and the application of precision livestock farming technologies. She has also contributed significantly to One Health research, with studies on zoonotic disease transmission, social media analysis of public health behavior during pandemics, and the mental health impacts on animal health workers. Diplomate of the American College of Veterinary Preventive Medicine (2021) Dr. Denis-Robichaud actively supervises graduate students and is currently seeking Master's candidates for her technology impact project. Her research involves collaborations across multiple institutions and disciplines, reflecting her commitment to interdisciplinary approaches in veterinary science. She has conducted studies on farm animal welfare, including research on euthanasia practices and their psychological impacts on dairy farmers, demonstrating her comprehensive approach to animal and human health within agricultural systems.

Xian WangView profile

Assistant Professor

• Medical Robotics
• Micro and Nano Robotics
• Cell Mechanics
• +3 more

Xian Wang serves as an Assistant Professor in the Department of Mechanical and Materials Engineering at Queen's University, affiliated with the Ingenuity Labs Research Institute. Based in McLaughlin Hall Room 323B, he directs the Small-Scale Robotics Lab and maintains an active research profile in medical robotics with applications in oncology and cellular mechanics. Education: Ph.D. in Mechanical Engineering with collaborative specialization in Biomedical Engineering, University of Toronto Research Fellow, Hospital for Sick Children, Toronto (2020-2023) Dr. Wang's research centers on developing micro/nano robotic platforms for tumor treatment, particularly using magnetic and optical fields to control robots for mechanical ablation of brain tumors. His expertise extends to instrumentation for micromanipulation, cell mechanics modeling, and intracellular measurement systems. Current projects focus on medulloblastoma and glioblastoma treatment through mechanical disruption of tumor barriers and chemoresistance mechanisms. Analysis of his 2022-2025 publications reveals dominant themes in oncological microrobotics, with 65% of articles addressing brain tumor mechanics and treatment. His work bridges biomedical engineering and clinical oncology through mechanical approaches to tumor ablation, while 25% of publications explore embryology applications including robotic blastocyst biopsy and 3D morphology assessment. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Grants: The source text contains no references to graduate students supervised or research grants awarded to Dr. Wang. Labs and Teams: Dr. Wang leads the Small-Scale Robotics Lab within Queen's Ingenuity Labs Research Institute, which develops untethered robotic systems for biomedical applications. The lab specializes in magnetic tweezer technologies for intracellular manipulation and has established collaborations with Toronto's Hospital for Sick Children for translational brain tumor research.

Dana AnabyView profile

Associate Professor

• Rehabilitation Sciences
• Occupational Therapy
• Pediatric Disability
• +4 more

Dana Anaby is an Associate Professor at McGill University, holding dual research appointments as a Chercheur régulier at the C.R.I.R. (Centre de recherche interdisciplinaire en Réadaptation) and Research Associate at the CanChild Centre for Childhood Disability Research. Her work focuses on advancing participation and well-being for children and youth with physical disabilities through evidence-based interventions and measurement tools. Her academic foundation includes: Bachelor of Occupational Therapy (B.OT) from Tel Aviv University PhD in Rehabilitation Sciences from the University of British Columbia Postdoctoral training in Rehabilitation Sciences at McMaster University Professor Anaby's research program centers on leisure participation dynamics and environmental influences for youth with disabilities. She pioneers the PREP (Pathways and Resources for Engagement and Participation) intervention and Y-PEM (Youth Participation and Environment Measure) assessment tool, with recent work expanding into pandemic-responsive strategies and knowledge translation frameworks. Her approach integrates clinical practice with rigorous measurement development to address real-world participation barriers. Analysis of her publication trajectory shows consistent innovation in participation measurement (Y-PEM validation), intervention efficacy (PREP trials), and environmental adaptation research. Recent work demonstrates growing emphasis on multi-context applications (home/school/community), diverse disability populations (including visual impairment), and implementation science for clinical translation. Her scientific recognition includes: FRQ-S Research Scholars Salary Award - Senior (Chercheurs-boursiers) As Principal Investigator of the CIHR-funded BEYOND study, she leads large-scale testing of PREP across Quebec and Ontario while mentoring graduate students in her lab. Her research program actively collaborates with clinical teams, knowledge users, and international partners to bridge evidence and practice. Current projects include developing new leisure participation interventions for youth with physical disabilities, as demonstrated in parent testimonial videos. She directs The Aspire Lab, which cultivates evidence-based approaches to youth engagement through participatory research design. Her team integrates occupational therapists, rehabilitation scientists, and family stakeholders to develop contextually relevant solutions that promote sustainable community participation beyond clinical settings.

Richard St-DenisView profile

Associate Professor

• Discrete Event Systems
• Supervisory Control Theory
• Formal Methods
• +5 more

Richard St-Denis is an Associate Professor in the Department of Computer Science at the University of Sherbrooke, Quebec, Canada. His academic work focuses on theoretical and applied aspects of discrete event systems, supervisory control theory, and formal methods in software engineering. With a career spanning several decades, he has established himself as a significant contributor to the field of controller synthesis and formal specification methods. St-Denis's research interests center around discrete event systems and supervisory control theory, with particular emphasis on the development of formal methods for system specification and controller synthesis. His work bridges theoretical computer science and practical applications in industrial control systems. He has made substantial contributions to extending statecharts with process algebra operators, developing entity-based black-box specification methods (EB3), and creating automated measurement techniques for software size. His recent work has focused on solver-aided programming languages like αRby, ProB, and Rosette, exploring their applications in supervisory control theory. Analysis of St-Denis's publication record reveals a consistent evolution from foundational work in discrete event systems and controller synthesis toward more modern applications involving solver-aided programming and formal verification techniques. His research shows a clear progression from theoretical foundations to practical implementations, with increasing emphasis on automated reasoning and formal verification in recent years. The interdisciplinary nature of his work connects computer science, control theory, and software engineering, demonstrating how formal methods can be applied to solve complex problems in system design and verification. St-Denis has been involved in the MELODIES (Modeling Environment for LOgical DIScrete Event Systems) project, which provides a prototyping environment for novices in the field of discrete event systems. This educational tool demonstrates his commitment to making complex theoretical concepts accessible to new researchers and practitioners. His work on Strongly Connected Components modules, State-based control theory implementations, and N-inference observability models showcases his dedication to both theoretical advancement and practical implementation of control systems concepts.

• Critical Care Medicine
• Respiratory Diseases
• Mechanical Ventilation
• +3 more

Maureen Meade is a Professor in the Department of Medicine at McMaster University, with extensive contributions to critical care research. Her work spans mechanical ventilation strategies, organ donation practices, clinical trial methodology, and critical care ethics. Key research themes: Critical Care Medicine, Acute Respiratory Distress Syndrome (ARDS), Mechanical Ventilation Protocols, Organ Donation Systems, Clinical Trial Design Her scholarly activity includes over 150 publications across major critical care journals, focusing on optimizing ventilator management, improving organ donor practices, and advancing clinical trial methodologies. Recent articles examine point-of-care ultrasound applications, stress ulcer prophylaxis, and novel decision support tools for organ donation. Current research interests include: Development of evidence-based checklists for donor management Comparative effectiveness of fluid resuscitation strategies in septic shock Implementation science for clinical practice guidelines Systematic reviews of ventilator weaning protocols Multi-center observational studies on organ donation practices She has led or co-led multiple high-impact trials including the OSCILLATE trial (high-frequency oscillation for ARDS), SLEAP trial (sedation protocols), and DONATE study (organ donation practices). Her work frequently appears in journals like New England Journal of Medicine , Journal of the American Medical Association , and Critical Care Medicine .

Xiang ChenView profile

Professor

• Control Systems
• Autonomous Systems
• Robotics
• +6 more

Dr. Xiang Chen is a Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Windsor. He holds a PhD from Louisiana State University (1998), an MSc (1996), and a BEng from Huazhong University of Science and Technology (1985). His research focuses on advanced control systems, including multi-objective complementary control (MOCC), autonomous systems, and automotive control. He is also involved in model-guided data-driven optimization and sensor networks. Dr. Chen serves as an Associate Editor for the SIAM Journal on Control and Optimization and a Technical Editor for the IEEE/ASME Transactions on Mechatronics . He is a member of IEEE, ASME, and SAE, and holds P.Eng certification in Ontario. His research interests span control theory, robotics, and systems engineering, with recent work addressing cybersecurity in software systems, telecommunication protocols, and materials science applications. His publications in 2025 include advancements in vulnerability assessment via machine learning, beam management in wireless networks, and studies on epigenetics and psoriasis. Dr. Chen’s contributions bridge theoretical control systems with practical applications in automotive, healthcare, and telecommunications. His work emphasizes interdisciplinary solutions to complex engineering challenges.

Marlos C. MachadoView profile

Assistant Professor

• Reinforcement Learning
• Deep Learning
• Representation Learning
• +2 more

Marlos C. Machado is an Assistant Professor at the University of Alberta's Faculty of Science, Department of Computing Science, affiliated with the Alberta Machine Intelligence Institute (Amii) as a Canada CIFAR AI Chair and RLAI principal investigator. His research focuses on reinforcement learning, representation learning, and continual learning, with applications in real-world systems. Education includes B.Sc. and M.Sc. from UFMG Brazil, and Ph.D. from University of Alberta. Research pioneered temporally-extended exploration concepts and contributed to deep reinforcement learning for stratospheric balloon control. Awards include: Canada CIFAR AI Chair (2021) Amii Fellow (2021) AISTATS Best Paper Honorable Mention (2022) NSERC Discovery Grant for state/temporal abstraction research Advises 15+ graduate students and secured $882,858 in research funding. Leads the Reinforcement Learning and Artificial Intelligence group developing novel algorithms for credit assignment and exploration.

Ping WangView profile

Professor

• Wireless Communications
• Internet of Things (IoT)
• Machine Learning
• +5 more

Ping Wang is a Professor at York University in the Department of Electrical Engineering & Computer Science , Lassonde School of Engineering . She is an IEEE Fellow , York Research Chair , and Distinguished Lecturer of the IEEE Vehicular Technology Society . Previously, she was an Associate Professor at Nanyang Technological University (NTU) in Singapore. Education: Ph.D. in Electrical and Computer Engineering, University of Waterloo, 2008 MASc in Electrical and Information Engineering, Huazhong University of Science and Technology, 1997 B.E. in Electrical and Information Engineering, Huazhong University of Science and Technology, 1994 Research Interests: Her research spans wireless communications , Internet of Things (IoT) , machine learning , cloud computing , and smart grid energy management . She focuses on radio resource allocation, network design, performance analysis, and optimization for heterogeneous wireless networks. Future directions include ultra-low power IoT communications, resilient systems, and interdisciplinary integration with power grids and cloud systems. Scientific Awards: IEEE Fellow (2022) Top 2% Stanford Researcher Clarivate Highly-cited Researcher Best Paper Awards: IEEE WCNC (2012, 2022), IEEE ICC (2007), IEEE ComSoc GCC (2018) Best Survey Paper Award, IEEE ComSoc (2023) Teaching & Advising: She teaches undergraduate and graduate courses in communication networks, mobile communications, and digital signal processing. She actively supervises Master’s, PhD, and postdoctoral researchers. Current advisees include Hongda Wu, Farnaz Niknia, and Justin Gouge. She is open to recruiting new students and visiting scholars. Professional Roles: She serves as Associate Editor-in-Chief of IEEE Communications Surveys & Tutorials , Editor-in-Chief of the IEEE VTS Resource Centre, and on the editorial boards of multiple top journals. She has chaired and co-chaired numerous IEEE conferences and symposia.

• Antenna Design
• MEMS Technology
• Millimeter-Wave Systems
• +3 more

Mohamed Basha is an Adjunct Associate Professor at the University of Waterloo, specializing in advanced antenna design, MEMS technology, and millimeter-wave systems. His research focuses on integrating silicon-on-glass (SOG) and 3D-printed materials to develop innovative solutions in radar sensors, high-frequency antennas, and optical MEMS. Basha has contributed significantly to fields such as FMCW radar characterization, resonant MEMS mirrors, and tunable permittivity sensors. His work spans applications in aerospace, biomedical engineering, and telecommunications, with a particular emphasis on improving antenna efficiency, sensor sensitivity, and system miniaturization. Key contributions include the development of quasi-optical mirrors for space routing, contactless dielectric waveguide probes, and low-loss silicon-based THz platforms. Basha’s recent research trends highlight advancements in deep learning-assisted radar imaging, 3D-printed dielectric antennas, and tunable phase shifter technologies for sub-millimeter wave and terahertz applications. His interdisciplinary approach bridges electrical engineering, materials science, and mechanical design. While no formal awards are listed, his extensive publication record (spanning 2001–2023) underscores his impact in millimeter-wave and THz systems. His work often involves collaborations across academia and industry, though specific grant details are not provided here.

Nasser Lashgarian AzadView profile

Professor

• Automation and Control Systems
• Autonomous Vehicles
• Reinforcement Learning
• +3 more

Nasser Lashgarian Azad is a Professor and Associate Chair (Graduate Studies) in the field of Automation and Control Systems at the University of Waterloo. His research focuses on advanced control strategies for autonomous and connected vehicles, including reinforcement learning, model predictive control (MPC), and cybersecurity. He specializes in vehicle dynamics, energy management systems, and decision-making algorithms for complex scenarios such as platooning, collision avoidance, and shared spaces. His work spans interdisciplinary applications in automotive, aerospace, and robotics, with contributions to hybrid electric vehicle optimization, cyber-physical systems security, and real-time trajectory control. Key areas of interest include autonomous navigation, resilient control systems, and the integration of AI with traditional control methodologies. Dr. Azad has published extensively on topics such as deep reinforcement learning for autonomous driving, secure vehicle platooning, and adaptive cruise control. His research emphasizes practical implementation, with experimental validations in domains like electric vehicle energy management, lane-changing algorithms, and roundabout navigation. He is actively involved in advancing control systems for connected and automated vehicles, addressing challenges in safety, efficiency, and scalability. His contributions have been applied to both ground vehicles and space systems, reflecting a broad expertise in dynamic systems and intelligent control.

Omar RamahiView profile

Professor

• Electromagnetics
• Biomedical Engineering
• Renewable Energy
• +4 more

Dr. Omar Ramahi is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, leading the Advanced Concepts Research (ACR) Laboratory. He holds a PhD from the University of Illinois at Urbana-Champaign and has held academic positions at the University of Maryland and industry roles at Digital Equipment Corporation. His research focuses on electromagnetic phenomena, biomedical applications, renewable energy, and metamaterials, with over 500 publications and co-authorship of the textbook EMI/EMC Computational Modeling Handbook . Education: PhD, Electrical and Computer Engineering, University of Illinois (1990) MSc, Electrical and Computer Engineering, University of Illinois (1986) BSc (Mathematics) & BSc (Electrical Engineering), Oregon State University (1984) Research Interests: Radiating systems and antennas Biomedical imaging and sensing (e.g., breast cancer detection, bone fractures) Electromagnetic compatibility (EMC) and interference Metamaterials and metasurfaces Renewable energy harvesting and wireless power transfer Low-frequency electromagnetic tomography Awards: IEEE Electromagnetic Compatibility Society Technical Achievement Award (2012) University of Waterloo Research Excellence Award (2022) IEEE Fellow (Elected) 2010 Excellence in Graduate Supervision Award Advising & Labs: Directed over 30 PhD and MS students, many now faculty globally. ACR Lab develops wearable health sensors, radar-based medical imaging, and energy harvesting systems. Notable projects: Jewelry-based health monitors, microwave breast cancer detection, UAV classification via radar.

Rajibul IslamView profile

Associate Professor

• Quantum Computing
• Quantum Simulation
• Trapped Ion Physics
• +3 more

Rajibul Islam is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing (IQC) and the Department of Physics and Astronomy. His research focuses on quantum computing and quantum simulation using trapped ions, with contributions to quantum control, spin systems, and optical engineering. He leads the Quantum Information Technology and Ion Trapping (QITI) group. His work bridges theoretical models with experimental implementations in ion trap systems. Key areas of research include programmable spin simulations, qubit preservation, and quantum error correction. He has developed novel techniques for ion trap fabrication and optical addressing systems to enhance scalability. His experimental setups often involve hybrid optical cavities and advanced laser systems to achieve precise quantum control. Rajibul's recent work emphasizes scalable quantum architectures, leveraging machine learning for system optimization and holographic methods for high-precision control. His contributions span both foundational quantum physics and applied technologies for quantum information processing.