جست‌وجوی استاد و پژوهشگر

Periklis Andritsosمشاهده پروفایل

دانشیار

• Big Data analytics
• Cluster analysis
• Data mining
• +۳ مورد دیگر

Periklis Andritsos is an Associate Professor at the Faculty of Information (iSchool) of the University of Toronto. He holds a PhD in Computer Science from the University of Toronto and a BSc in Electrical and Computer Engineering from the National Technical University of Athens. Prior to his return to Toronto, he held academic positions at the University of Lausanne (Switzerland), University of Trento (Italy), Free University of Bozen-Bolzano (Italy), and was a Visiting Professor at the Technical University of Berlin (Germany). His research focuses on large-scale data analysis, structure discovery, and applying information-theoretic and probabilistic techniques to identify redundancies and errors in evolving datasets. He developed the LIMBO algorithm for categorical data clustering, widely used in academia and industry. Professor Andritsos has received several awards, including the Techcrunch 50 Award (2009) as co-founder of Thoora.com and Best Paper Awards at ICPM (2021), ADBIS (2019), and DSS (2017). He teaches courses such as INF1343H (Data Modeling and Database Design) and INF2190H (Introduction to Data Analytics). His current advisee is Mirai Gendi. He is affiliated with the Data Sciences Institute at the University of Toronto and has led grants from MITACS, SSHRC, and the Data Sciences Institute. His work spans customer journey mapping, process mining, and distributed data systems. Andritsos has also contributed to industry collaborations, including co-founding Odaia Intelligence (2018–present). His media engagements include interviews on data privacy, AI ethics, and technology trends in outlets like CBC, The Toronto Star, and Voice Magazine. His research bridges theoretical foundations with practical applications in data management and analytics.

Farah Chancharyمشاهده پروفایل

مدرس

• Computer Science
• Cloud Computing
• Data Structures
• +۷ مورد دیگر

Farah Chanchary is a Lecturer and Lab/Course Coordinator at the School of Computer Science, Carleton University. She specializes in areas such as data structures, cloud computing, and educational technologies. Her work spans algorithm design, privacy in advertising, and challenges in e-learning, particularly in Saudi Arabia. She coordinates laboratory and course activities, supporting academic infrastructure. Research Interests: - Data Structures and Algorithms - Cloud Computing and Migration - Privacy-Preserving Models in Advertising - E-Learning Readiness and Challenges - Machine Learning Applications (Neural Networks, Genetic Algorithms) - Geometric Query Processing Publications Trends: Her recent work focuses on efficient data structures for window queries, privacy concerns in online advertising, and cloud computing challenges. Earlier research includes studies on e-learning adoption in Saudi Arabia and neural network applications in rainfall forecasting. No awards or grants are listed. She has no documented advisees. She manages laboratory facilities and course coordination in the School of Computer Science.

Lizhi Liaoمشاهده پروفایل

استادیار

• Software Engineering
• DevOps
• Performance Testing
• +۴ مورد دیگر

Lizhi Liao is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland (MUN). He received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo under Dr. Weiyi Shang. His research focuses on software performance engineering, DevOps practices, and AI system quality, particularly addressing performance regression detection and optimization in fast-paced development environments. Education: Ph.D., Electrical and Computer Engineering, University of Waterloo (supervisor: Dr. Weiyi Shang). Previous roles include Research Intern at ERA Environmental Management Solutions (2019–2024) and Software Developer Intern at Nakisa (2019). Research interests include software performance engineering, web GUI testing, and AI-driven performance analysis. His work emphasizes bridging architectural models with performance data to improve testing efficiency. Recent awards include the ACM SIGSOFT Distinguished Paper Award (2025) and multiple doctoral awards from the University of Waterloo. Teaching includes AI-related courses at MUN and guest lectures on software architecture and testing at the University of Waterloo. He has served as a program committee member for conferences like ICSE, FSE, and ESEC, and co-chaired workshops such as LTB 2025. He is actively involved in the Standard Performance Evaluation Corporation (SPEC) Research Group, focusing on DevOps performance standards. Liao collaborates with industry partners to apply performance analytics in real-world systems, such as database-centric applications and serverless architectures. His presentations span global venues including ICSE, FSE, and the Consortium for Software Engineering Research.

Ryan Bakkerمشاهده پروفایل

دانشیار

• Political Science
• Comparative Politics
• Party System Analysis
• +۳ مورد دیگر

Dr. Ryan Bakker is an Associate Professor in the Department of Government at the University of Essex. His research focuses on comparative politics, party systems, and quantitative political analysis. He teaches courses including Quantitative Political Analysis , Advanced Quantitative Political Analysis , and a doctoral seminar in political economy. His work examines party positioning, European integration, socio-cultural policy dimensions, and electoral behavior across nations. He has supervised PhD students such as Kristijan Garic (current) and Eunhyea Oh (awarded 2025), whose thesis explored voting behavior in EU institutions. His research employs expert survey data (e.g., Chapel Hill Expert Survey) and methodological innovations to study political representation, ideological congruence, and anti-establishment movements. Key themes include urban-rural political divisions, pandemic governance responses, and transatlantic policy comparisons. His publications span topics from measuring human rights through practitioner surveys to analyzing the evolving dimensions of West European party politics. Despite no listed awards, Bakker’s work contributes significantly to comparative political methodology and data infrastructure through collaborative projects like the Chapel Hill Expert Survey trend files.

Cornelia H. Daytonمشاهده پروفایل

استاد

• Early British North America
• U.S. Legal History
• History of Women, Gender, and Sexuality
• +۳ مورد دیگر

Cornelia H. Dayton is a Professor of History at the University of Connecticut, specializing in Early British North America, U.S. legal history, and the history of women, gender, and sexuality in the Atlantic World. She holds a Ph.D. from Princeton University and has held fellowships at institutions including the Huntington Library and the Charles Warren Center at Harvard University. Her research focuses on topics such as the social history of mental health in pre-asylum New England, governance rituals in early modern towns, and database methodologies for documenting individual life histories. Dayton’s major works include Robert Love’s Warnings (2014), which won the Merle Curti Award and Littleton-Griswold Prize, and Women Before the Bar (1995), a foundational text in gender and legal history. She has pioneered collaborative projects like the Historical Violence Database and the Taking the Trade digital resource on 18th-century abortion practices. Her articles span legal, social, and cultural aspects of early America, emphasizing marginalized voices and innovative methodologies. Awards include recognition for both scholarship and pedagogical contributions. She has held visiting appointments at multiple institutions and continues to shape early American historiography through interdisciplinary approaches.

• Physical geography
• Environmental geoscience
• Geology
• +۱۱ مورد دیگر

Simon Brewer is a Professor at the University of Utah's School of Environment, Society & Sustainability, with an active research program spanning physical geography, environmental geoscience, and spatial analysis. His interdisciplinary work bridges environmental science, public health, and social justice, with a particular focus on applying machine learning and spatial statistics to address pressing environmental and societal challenges. Dr. Brewer earned his BSc and MSc in Biological Sciences from the University of London and completed his PhD at Aix-Marseille University in France. His postdoctoral training included research positions at the Centre for Research and Teaching in Environmental Geoscience and CEMAGREF in Aix-en-Provence, France, the University of Liege in Belgium, and the University of Wyoming in the United States. He is fluent in French, reflecting his international academic background. His research interests encompass a wide range of topics including physical geography, environmental geoscience, geology, ecology, climate change science, archaeology, atmospheric sciences, ecological applications, human geography, spatial statistics, time series and spatial modeling, machine learning, and statistical data science. His work demonstrates a strong commitment to applying quantitative methods to understand complex environmental systems and human-environment interactions. Analysis of his recent publications reveals a clear trend toward interdisciplinary research that combines spatial analysis, machine learning, and environmental science to address real-world problems. His work spans urban planning, public health, disaster risk assessment, climate change impacts, and environmental justice, often with a focus on developing innovative methodological approaches. Many of his studies address pressing societal issues such as flood risk assessment, air quality monitoring disparities, mental health access, and the impacts of urban development patterns. Outstanding Mentor Award (Department of Geography, University of Utah, 2015) Superior Teaching Award (Junior Faculty, College of Social and Behavioral Sciences, University of Utah, 2013) Outstanding Mentor Award (Department of Geography, University of Utah, 2012) Dr. Brewer has secured significant research funding from multiple sources including the National Science Foundation, National Institutes of Health, and University of Alabama. His current grants focus on convolutional neural networks for precipitation phase determination, restoring indigenous socio-environmental systems, deep learning for air pollution monitoring, and climate-related ecosystem dynamics. His teaching portfolio includes advanced courses in geographic data analysis, climate change impacts, spatial modeling, and R programming, reflecting his commitment to training the next generation of spatial analysts and environmental scientists.

Antonio E Badiaمشاهده پروفایل

دانشیار

• Database Systems
• Query Optimization
• Data Mining
• +۶ مورد دیگر

Antonio E Badia is an Associate Professor in the Department of Computer Science and Engineering at the University of Louisville's J.B. Speed School of Engineering. He holds a B.S. and M.S. in Computer Science from the Polytechnic University of Catalonia (1988, 1990) and a Ph.D. in Computer Science from Indiana University (1997). His research focuses on database systems, query optimization, data mining, and decision support systems. He has published extensively on topics such as JSON document algebra, SQL extensions for data science, and NoSQL system evaluation. Key research areas include query optimization frameworks, integration of unstructured data, and semantic technologies. His work bridges database systems with modern data science practices, emphasizing practical implementations and performance analysis. Notable contributions include pioneering work on generalized quantifiers in query languages and frameworks for data analysis in command-line environments. Dr. Badia's publications span over three decades, addressing challenges in data warehousing, information integration, and security-aware database design. Though no specific awards are listed, his prolific and impactful research contributions are evident through his sustained output in top venues. He has advised numerous students (none explicitly listed) and contributed to course development in computer science and engineering. His recent work explores the intersection of databases and emerging technologies like JSON processing, while maintaining a focus on foundational issues such as functional dependencies and query semantics. Ongoing projects likely involve advancing database architectures for modern analytical workloads.

Edoardo S. Biagioniمشاهده پروفایل

دانشیار

• Networking
• Wireless Networking
• Network Security
• +۹ مورد دیگر

Edoardo S. Biagioni is an Associate Professor at the University of Hawaii in the Department of Information and Computer Sciences , where he has been since 1997. His primary research focuses on decentralized networking , wireless security , and systems programming , with long-term projects including the Allnet project (since 2011) and earlier PODS micro-sensor networks (2000-2003). Current research since 2024 includes formal verification of file systems and correctness properties in systems programming Technical interests span protocol decomposition , language-based OS design , and congestion control Teaching emphasizes Java fluency , data structures , and algorithm complexity in courses like ICS 211 Prior roles included directing the Advanced Network Computing Laboratory (1997-2005) and contributions to the Fedora Core project. Students under his supervision have worked on projects ranging from network measurement to ATM transport protocols . His work bridges theoretical concerns like IP fragmentation theory with practical implementations in SML database systems and IPv6 transitions .

• Surgical Critical Care
• Trauma Surgery
• Rib-fracture management
• +۳ مورد دیگر

Suresh Agarwal is a Professor of Surgery at Duke University School of Medicine and a core leader of the multi-institutional Surgical Critical Care Initiative (SC2i). With an h-index of 29 and more than 2,700 citations, he has published 148 peer-reviewed works since 1997, focusing on trauma surgery, critical care, and health-services outcomes. Research Interests: Surgical critical care & trauma resuscitation Rib-fracture fixation and thoracic wall stabilization Vascular trauma repair and long-term functional outcomes Nutrition-related mortality after injury Healthcare disparities in trauma care His recent work challenges age-based dogma by demonstrating that younger trauma patients are uniquely vulnerable to malnutrition-related death, while simultaneously proving that early surgical stabilization of rib fractures benefits all age groups. Across more than 20 papers in 2023-2025 he has leveraged large registries such as PROOVIT to dissect risk factors for re-intervention, amputation, and mortality after femoral and abdominal vascular injuries. Media Impact: Findings have been featured in 210 press items, including coverage of rib-fracture studies that informed national quality guidelines and firearm-injury research cited in policy debates. Although specific grant funding and trainee lists are not provided, his extensive co-author network and continuous federally supported registry analyses indicate active mentoring and principal-investigator roles within SC2i.

John Nordinمشاهده پروفایل

استاد مدعو

• Argumentation Theory
• Critical Thinking
• Public Speaking
• +۶ مورد دیگر

John Nordin is an Adjunct Professor in the Department of Communication Studies at the University of Minnesota, where he has taught for 16 years. His academic work spans Argumentation theory Critical thinking pedagogy Public speaking Ancient and modern Greek studies Biblical studies Project management . He holds a Ph.D. in Transportation Systems from MIT and an M.Div. from Pacific Lutheran Theological Seminary. His research interests focus on interdisciplinary connections between communication, religion, and technology. He has published analytical work on Iranian politics, theological treatises on worship practices, and technical papers on computer graphics and database design. His personal website maintains resources on Greece, including the Plaka website Philhellenic Perspective newsletter . Teaching is enriched by global experience: Led study abroad programs in Greece Worked as a Lutheran pastor in Iowa and Colorado Teaching Computer Science at University of Nairobi Project management in IT . He integrates travel, cultural analysis, and technical expertise into his courses. Publications include: Co-authored textbook on critical thinking Articles on Iranian politics Technical papers on sulfur emissions and airport operations Theological works on hymnody and worship reform . His creative writing includes a historical novel about ancient Greece and poetry.

• Maritime Safety
• Occupational Health
• Public Health
• +۳ مورد دیگر

Neil Ellis is a Researcher at the Seafarers International Research Centre (SIRC) within Cardiff University's School of Social Sciences. He joined SIRC in 2003, initially working on global labor market databases. His current role focuses on seafarers' health and well-being, particularly examining healthcare access and occupational risks in cruise and cargo sectors. Ellis holds a BSc (Hons) in Psychology and Communication and an MPhil from the University of Wales Institute, Cardiff. Education: BSc (Hons) Psychology and Communication, University of Wales Institute, Cardiff MPhil, University of Wales Institute, Cardiff Research Interests: Ellis specializes in seafarers' mental health, occupational safety, fatigue management, accident data analysis, and the impact of built environments on health. His work bridges empirical research with practical applications, addressing systemic challenges in maritime labor practices and healthcare accessibility. Recent Projects: "Seafarers’ health and access to healthcare in 2024" (funded by Stiftelsen Sveriges Sjömanshus) Mapping maritime professionals for a European data system (ETF/ECSA-funded) Seafarers' mental health and well-being (Institution of Occupational Safety and Health) Grants & Collaborations: Ellis has collaborated with organizations like Lloyd's Register Foundation, ETF, and ECSA on projects evaluating evidence-based decision-making in maritime safety and labor standards. Key Themes: His research emphasizes occupational health equity, corporate social responsibility in shipping, and improving seafarers' living/working conditions through evidence-driven policy.

• Big Data Management
• Scalable Data Science
• Spatial and Spatio-Temporal Data Processing
• +۵ مورد دیگر

Suprio Ray is an Associate Professor in the Faculty of Computer Science at the University of New Brunswick, Canada, leading the Big Data Systems and Analytics Lab. He holds a PhD from the University of Toronto, an M.Sc. from the University of British Columbia, and a B.E. from NIT Trichy. Previously, he worked in industry roles at Oracle, Bell Labs, and Webtech Wireless, and completed a PhD internship at SAP. His research focuses on scalable data systems, spatial/spatio-temporal data management, and modern hardware utilization. Key projects include the Jackpine spatial database benchmark , DaskDB (a scalable data science system), and NUMA-aware query processing . He collaborates across disciplines with ECE and GGE departments, supported by grants from NBIF, NSERC, and industry partners. Research interests span Big Data systems, privacy/security in databases, blockchain analytics, and parallel/distributed computing. He has pioneered techniques like STILT multi-dimensional indexes , privacy-preserving spatial queries (Pystin) , and learned spatial indexes . Over 60 publications appear in top venues like SIGMOD, ICDE, and IEEE BigData. Education: PhD (Computer Science), University of Toronto (2015) M.Sc. (Computer Science), University of British Columbia (2003) B.E. (Computer Science & Engineering), NIT Trichy (2000) Teaching includes courses on big data systems (CS4545/6545), database foundations (CS6585), and data science (CS2545). He advises graduate students in scalable analytics and spatial systems, emphasizing industry-relevant software skills. Key awards include the 2024 ACM SIGSPATIAL best poster award , IBM Best Student Paper (2014) , and Harrison McCain Foundation award (2016) . His work has been recognized with 7 best paper awards and 3 patents. Current projects explore FPGA-accelerated joins , serverless data analytics , and privacy-preserving blockchain queries . Past contributions include the GEMM mobility model (2003) and foundational spatial benchmarks.

Chen Yeمشاهده پروفایل

دانشیار

• Blockchain Technology
• Technology User Behavior
• Business Impact of Technology Innovations
• +۴ مورد دیگر

Chen Ye is an Associate Professor of Management Information Systems (MIS) at Purdue University Northwest’s College of Business, specializing in technology user behavior, blockchain, and educational technology. He holds a Ph.D. and dual M.S. degrees in MIS and Mathematics from the University of Illinois at Chicago. His research bridges academic and practical insights, addressing topics like blockchain’s policy implications, IT project management complexities, and digital education tools. Published in journals such as CACM and CAIS, his work also extends to Brookings Institution blogs on central bank digital currencies. Ye teaches 11 MIS courses, redesigning curricula like ISM 10200 and CIS 20400, emphasizing experiential learning. A notable initiative involved a capstone project where students analyzed pandemic-related social media data for local communities, with some teams presenting at international conferences. Ye’s industry background as a Boeing avionics software engineer informs his teaching, helping students connect technical concepts to real-world applications. He actively develops new courses on blockchain business applications and integrates emerging technologies into classroom examples. His pedagogical approach emphasizes metacognition development and practical skill-building for future professionals.

• Evidence-based medicine
• Health policy
• Health systems research
• +۵ مورد دیگر

Alfred Haines is an Associate Professor (Part-Time) in the Department of Health Research Methods, Evidence, and Impact at McMaster University's Faculty of Health Sciences. His academic career spans several decades with a focus on bridging research evidence with clinical practice and health policy development. Dr. Haines' research interests center on evidence-based medicine and health systems research. His work has significantly contributed to understanding how research evidence can be effectively translated into clinical practice and health policy decisions. He has published extensively on knowledge translation, guideline development, and implementation science, with particular expertise in musculoskeletal disorders and neck pain management. His methodological approach often involves systematic reviews and evidence synthesis to inform healthcare decisions. Analysis of Dr. Haines' publication record reveals a strong focus on evidence-informed health policy and clinical practice. His work spans multiple domains including systematic reviews of interventions for neck disorders, development of frameworks for evidence-based policymaking, and studies on knowledge translation in healthcare settings. His most influential work appears in high-impact journals such as The Lancet, PLoS Medicine, and The BMJ, demonstrating his contributions to both clinical and policy aspects of healthcare improvement. The 2012 series in PLoS Medicine on health systems guidance represents a particularly significant contribution to the field. Dr. Haines has collaborated extensively with prominent researchers in the field, including Charles Harry Goldsmith (8 publications), John Lavis (6 publications), and Anita R. Gross (6 publications). His publication record shows sustained research activity from the late 1980s through 2017, with significant impact as evidenced by references in policy documents, clinical guidelines, and academic platforms like Mendeley. While specific grant information is limited in the current database, his extensive publication record suggests successful research funding throughout his career.

• Peace and Conflict Studies
• Middle East Politics
• Refugee Crisis Management
• +۳ مورد دیگر

Dr Juline Beaujouan is a Senior Research Fellow at the University of Edinburgh’s School of Law and a core member of the Peace and Conflict Resolution Evidence Platform (PeaceRep). She holds a PhD in Politics from Durham University and additional qualifications in Arabic Studies and International Relations. Her research focuses on complex conflicts in the Middle East, particularly examining peace processes, fragmented conflict dynamics, and the evolving role of non-state actors in peacemaking. She actively contributes to the PA-X peace agreements database and advises European policymakers on foreign affairs in conflict zones like Iraq and Syria. Education: PhD in Politics (Durham University), MA International Studies (Paris-Sud XI), MSc Defence, Development and Diplomacy (Durham), Arabic Studies (SOAS). Roles: Non-Resident Senior Fellow at the Middle East Institute (Washington D.C.), Senior Researcher at Open Think Tank (Kurdistan Region of Iraq), Fellow of the HH Sheikh Nasser al-Mohammad al-Sabah Programme. Teaching: Convenes postgraduate courses on conflict transition and humanitarian work in conflict zones, certified by the Higher Education Academy. Administrative: Member of Edinburgh Law School’s EDI and Research Ethics Committees, and external ethics reviewer for Salahaddin University-Erbil. Her research integrates fieldwork insights with quantitative analysis to address gaps in global peace processes. Key themes include the adaptability of peace agreements to fragmented conflicts and the role of religious and civil society actors in preventing extremism. She co-authored Islam, IS and the Fragmented State (Routledge, 2021) and edited volumes on Syrian refugees and resilience to extremism. Dr Beaujouan’s awards include the Best Dataset CDCS Digital Research Prize (2023) and the Royal Society of Edinburgh Mary Somerville Medal (2023). Her work bridges academia and policy, emphasizing community engagement and evidence-based solutions to conflict challenges.