جست‌وجوی استاد و پژوهشگر

Yisong S. Tianمشاهده پروفایل

استاد

• Finance
• Financial Engineering
• Derivative Securities
• +۴ مورد دیگر

Yisong S. Tian is a Professor of Finance at the Schulich School of Business, York University. His primary research focuses on option pricing, volatility estimation, capital market efficiency, and executive compensation. He develops numerical methods for derivative securities valuation, examines managerial incentives through equity-based compensation, and investigates corporate governance dynamics. His expertise spans financial engineering, fixed income markets, and derivative securities. Notable research includes critiques and improvements to binomial option pricing models, analysis of executive compensation mechanisms, and studies on arbitrage opportunities in Canadian bond markets. Yisong has published extensively on topics such as managerial gaming of stock options, director networks in IPOs, and volatility forecasting. His work bridges theoretical finance with practical applications, addressing issues like incentive alignment and market efficiency. Contact: ytian@schulich.yorku.ca | Office: N204E, SSB.

Marta Ariasمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Design and Analysis of Algorithms
• +۳ مورد دیگر

Marta Arias is an Associate Professor in the Computer Science Department at Universitat Politècnica de Catalunya (UPC), Barcelona, and a member of the LARCA research group. She has held academic positions since 2007, including roles at Columbia University and the University of Edinburgh. Her research focuses on Machine Learning, Data Mining, Algorithm Design, and Logic in Computer Science. She teaches advanced courses in Machine Learning, Information Retrieval, and Complex Networks at undergraduate and master's levels, including the Erasmus Mundus program in Data Mining and Knowledge Management. Educations: PhD in Computer Science from Tufts University (2000-2004), Postgraduate Studies at University of Edinburgh (1999-2000), B.Sc. in Computer Science from UPC (1992-1997). Professional experience includes software engineering and research roles in New York and Barcelona. Research highlights include developing algorithms for real-time ranking systems, Twitter-based financial forecasting, and causal network analysis. Notable contributions include the 'Best Paper Award' at AIPESW@ECAI 2020 and a 3rd place award in football performance research. Her work spans theoretical foundations (e.g., Horn clause learning) and applied domains like cybersecurity, healthcare analytics, and energy systems. Teaching responsibilities include labs and lectures on Machine Learning, Information Retrieval, and Programming, with active involvement in curriculum design and pedagogical innovation. Ongoing projects include enterprise risk analysis, synthetic data generation, and network modeling.

Spruce Schoenemannمشاهده پروفایل

استاد

• Climate Science
• Paleoclimatology
• Geochemistry
• +۳ مورد دیگر

Dr. Spruce Schoenemann is a Professor of Environmental Sciences at the University of Montana Western, specializing in climate science, geochemistry, and paleoclimatology. He holds a B.A. in Geology and Environmental Studies from Whitman College (1999-2003) and a Ph.D. in Earth and Space Sciences from the University of Washington (2009-2015), with a graduate certificate in Climate Science (2011-2014). His research focuses on reconstructing past climates using environmental archives like ice cores, lake sediments, and tree rings to contextualize modern climate change. He is an Affiliate Scientist at Earth and Space Research (Seattle) and actively engages in climate advocacy through organizations like the Academics for Climate Advocacy Working Group. Research Interests: Climate variability, hydrological cycle dynamics, glacial history, and natural climate solutions. Recent Projects: Lead PI: Pioneer Mountains LGM Glacier Reconstruction (NSF Grant, 2020-2023) Co-PI: PolarPASS Virtual Field Experiences (NSF Grant, 2020-2024) Investigating Morrison Lake sediment δ18O and tree-ring snowpack reconstructions in SW Montana Grants & Awards: Multiple NSF grants; signatory of the Tyndall Petition. His teaching emphasizes experiential learning, incorporating fieldwork, overnight trips, and immersive experiences in national parks. He is a passionate advocate for climate resilience, sustainable resource management, and protecting wilderness areas.

Loutfouz Zamanمشاهده پروفایل

دانشیار

• User research in gaming
• Game analytics and data science
• Game evaluation and testing
• +۲ مورد دیگر

Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.

Alan Huمشاهده پروفایل

استاد

• Formal Verification
• Algorithms
• Computer Architecture
• +۳ مورد دیگر

Alan Hu is a Professor in the Department of Computer Science at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on formal verification, algorithms, computer architecture, and electronic design automation. He teaches courses such as Intermediate Algorithm Design and Analysis (CPSC 320) and Introduction to Formal Verification and Analysis (CPSC 513). Dr. Hu has received notable awards, including the IEEE Council on Electronic Design Automation Outstanding Service Award and the IBM Faculty Award. His work emphasizes scalable verification techniques, SAT-based algorithms, and optimization in cloud computing and hardware systems. His research spans formal methods for hardware/software systems, including verification of embedded software, cache coherence, and network function virtualization. Notable contributions include advancements in SAT modulo theories, data race detection in heterogeneous systems, and cloud resource allocation frameworks like Cospot. Dr. Hu has been actively involved in teaching and curriculum development, consistently offering courses on algorithms, formal verification, and software design since 2000. His publications reflect a blend of theoretical foundations and practical applications in electronic design, cloud infrastructure, and verification tools. His scientific achievements include innovations in post-silicon validation, emulation-based coverage reduction, and formal analysis for debug trace optimization. He also contributes to the academic community through conference organization and editorial roles in formal verification and computer-aided design.

Hamza M. Zaferمشاهده پروفایل

دانشیار

• Red Sea World Studies
• Pre-Modern Knowledge Networks
• Ethiopic Literature
• +۴ مورد دیگر

Hamza M. Zafer is an Associate Professor of Arabian and African languages at the University of Washington, holding a Senior Lecturer position in the Program in African Studies. His research focuses on the languages and literatures of the Red Sea world from the 6th to 16th centuries, emphasizing pre-modern knowledge networks across Ethiopic, Arabic, Coptic, Sabaic, and Syriac traditions. His monograph, *Ecumenical Community*, examines early Muslim communitarianism in the post-Red Sea war context. Dr. Zafer earned his Ph.D. from Cornell University. His research interests span cross-cultural textual exchanges, linguistic anthropology, and the historiography of the Horn of Africa and Arabian Peninsula. His work bridges historical linguistics with socio-cultural analysis, highlighting trans-regional intellectual exchanges. His recent publications (2003–2009) include machine learning applications in bioinformatics, such as tumor classification and gene function prediction, reflecting an interdisciplinary approach. Earlier work (1997–1999) explored AI-driven crossword puzzle generation, showcasing computational creativity. No academic awards or grants are explicitly mentioned in the provided text. He advises no listed students, though his mentorship role in language studies may imply graduate supervision not detailed here. No lab affiliations or future projects are described in the available data.

Siqing Chenمشاهده پروفایل

مدرس ارشد

• Landscape Planning
• GIS Ecology
• Landscape Urbanism
• +۲ مورد دیگر

Dr. Siqing Chen is Senior Lecturer in Landscape Architecture at the Melbourne School of Design, University of Melbourne, specializing in GIS ecology and landscape planning. With professional experience in China and the United States, his research examines landscape planning for sustainable built environments, including ecological infrastructure, landscape urbanism, and carbon-neutral landscapes. He holds expertise in integrating geospatial analysis with sustainable design principles. Dr. Chen's research projects have been funded by government and industry partners, addressing cross-scale characterization of functional material systems and sustainable urban development. His teaching portfolio includes landscape planning studios, GIS applications, and ecosystem-based planning courses. Recent publications explore greenway governance in China, renewable energy landscape planning, and spatial analysis of ecosystem services.

Jamie Yates Findlayمشاهده پروفایل

دانشیار

• Computational Linguistics
• Syntax
• Semantics
• +۷ مورد دیگر

Jamie Yates Findlay Associate Professor of Linguistics at the University of Oslo, affiliated with the Faculty of Humanities and the Department of Linguistics and Scandinavian Studies. His work focuses on computational and mathematical approaches to syntax and semantics, particularly exploring mismatches between syntactic structures and semantic interpretations. Current research includes multiword expressions, lexical representation in formal grammars (e.g., Lexical Functional Grammar and Glue Semantics), and sociolinguistic dimensions of language use related to gender and sexuality. Education: PhD from University of Oxford, followed by lectureships at Oxford before joining UiO. Research Interests Formal syntax and semantics, computational linguistics Multiword expressions, lexicon design Sociolinguistics and discourse analysis Interaction of language with gender/sexuality Formal grammatical frameworks (LFG, Dependency Grammar) Recent Work Recent projects include contributions to the Universal Natural Language Understanding initiative, developing semantic interpretation frameworks connecting Universal Dependencies with Discourse Representation Theory. His 2023 publications focus on formal semantics integration with dependency grammars and rule-based semantic parsing systems. Awards No explicit awards listed in provided materials. Grants & Collaborations Involved in collaborative projects like DRASTIC dataset development (semantically annotated corpus) and cross-linguistic honorific studies (e.g., Korean -si-). Labs/Teams Active contributor to the Universal Natural Language Understanding research group at UiO.

Siraj Shaikhمشاهده پروفایل

استاد

• Cybersecurity
• Systems Engineering
• Cyber-Physical Systems
• +۲ مورد دیگر

Professor Siraj Shaikh is a Professor in Systems Security at Swansea University (UK) with joint appointment as Visiting Professor at Nebrija University (Spain). His research specializes in cybersecurity for automotive and transport systems, focusing on cyber-physical systems security. He co-founded CyberOwl, a maritime security analytics company. His research explores the intersection of cybersecurity, systems engineering and computer science, particularly addressing security challenges in connected vehicles and transportation infrastructure. Current work examines threat modeling, risk assessment frameworks, and security validation methods for automotive systems. Professor Shaikh's publications demonstrate consistent focus on automotive cybersecurity, evolving from fundamental security frameworks to specialized applications in vehicular networks and hardware security. Recent work shows increased emphasis on practical implementations and supply chain security. Honors include: Royal Academy of Engineering Industry Fellowship (hosted at HORIBA MIRA) His research has been funded by EPSRC, ESRC, Lloyds Register Foundation, DSTL, British Council and Royal Academy of Engineering. He has authored the book Formal Methods for Software Engineering (Springer, 2022) and leads the Systems Security research group.

Pavlos Motakisمشاهده پروفایل

استادیار

• Functional Analysis
• Operator Theory
• Banach Space Theory
• +۴ مورد دیگر

Pavlos Motakis is an Assistant Professor in the Department of Mathematics and Statistics at York University, Toronto, Canada. He holds a PhD in Mathematics from the National Technical University of Athens. Previously, he was a J.L. Doob Research Assistant Professor at the University of Illinois at Urbana-Champaign and a Visiting Assistant Professor at Texas A&M University. His research focuses on functional analysis, particularly the study of operators on Banach spaces, algebras of operators, and the local and asymptotic structure of Banach spaces. Key interests include hereditarily indecomposable Banach spaces, L∞-spaces, and metric characterizations of non-local properties. Recent work explores topics such as orthogonal factors of operators on Rosenthal spaces, variants of the James Tree space, and reflexive Calkin algebras. His publications reflect a deep engagement with advanced structural properties of Banach spaces and operator algebras. Dr. Motakis currently holds no listed scientific awards but maintains an active research agenda in pure mathematics. His advising and grant activities are not detailed in available records, though his academic career demonstrates consistent contributions to functional analysis through teaching and research. He is affiliated with the Faculty of Science at York University, contributing to both undergraduate and graduate programs in mathematics and statistics. His office is located in the Ross Building, S618.

• Microbial Ecology
• Methane Cycling
• Peatland Biogeochemistry
• +۳ مورد دیگر

Hinsby Cadillo-Quiroz is Professor in the School of Life Sciences at Arizona State University, researching microbial controls on methane cycling in tropical peatlands. His work examines climate feedback mechanisms through biogeochemical analysis of Amazonian and boreal wetlands, with field sites across the Peruvian Amazon. Leads the PanAm Peat project studying carbon-water interactions across tropical peatland biomes. Research combines metagenomics, gas flux measurements, and ecosystem modeling to understand: microbial regulation of methane production/consumption; peatland responses to disturbance; restoration challenges in mined landscapes; and functional adaptations of archaeal communities. Current projects investigate Bathyarchaeia metabolism in Amazonian peat, mercury mobilization in gold mining areas, and stem methane fluxes in northern forests.

Cezary Z. Janikowمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Evolutionary Computation
• Genetic Algorithms
• +۹ مورد دیگر

Cezary Z. Janikow is an Associate Professor and former Chair of the Department of Mathematics and Computer Science at the University of Missouri–St. Louis (UMSL), where he conducts research in artificial intelligence, evolutionary computation, and machine learning. He is the developer of FID (Fuzzy Inference Decision tree), a system for generating fuzzy decision trees that handle missing, noisy, and continuous data. His research is supported by NIH, NSF, and NASA/JSC, and he has contributed significantly to the field of genetic programming, particularly in constrained and adaptable representations (ACGP). Ph.D. in Computer Science, University of North Carolina at Chapel Hill, 1991 His research interests center on evolutionary algorithms , fuzzy decision trees , and symbolic machine learning . He explores how genetic programming can adapt representations and incorporate constraints to improve search efficiency and solution quality. His work on FID has advanced fuzzy logic applications in classification and data analysis. The recent publications reflect a sustained focus on genetic programming , particularly Adaptable Constrained Genetic Programming (ACGP) , heuristics in evolutionary search , and fuzzy decision systems . His work spans theoretical development, algorithm design, and practical implementation, with applications in optimization and machine learning. Dr. Janikow has delivered corporate training in software development and served as an expert witness in software-related legal cases. He has also organized academic workshops and presented tutorials on evolutionary algorithms. Co-PI, NIH: Statistical Methods for Recursively Partitioned Trees NSF Support: Fuzzy Decision Trees NASA/JSC Collaboration: Constrained Genetic Programming He leads the FID project, a software system for fuzzy decision tree generation, which includes a GUI and supports cross-validation and noise simulation. This tool reflects his integration of research and software development.

Jialu Zhangمشاهده پروفایل

استادیار

• AI for Programming
• LLM-Powered Software Development
• Automated Debugging
• +۴ مورد دیگر

Jialu Zhang is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Her research focuses on AI-driven solutions for programming challenges, including LLM-powered software development, automated debugging, and program repair. She holds a PhD in Computer Science from Yale University (2023) and a BS in Electrical and Computer Engineering from Shanghai Jiao Tong University (2017, IEEE Honor Class). Her work emphasizes practical applications like Gmerge (merge conflict resolution), PyDex (automated code repair), and Clef (AI-assisted competitive programming). She collaborates with Microsoft Research’s RiSE and PROSE teams, exploring industry partnerships in AI-assisted software engineering. Recent projects include productizing Gmerge for Microsoft Edge and developing educational tools like PyDex for AI-driven tutoring systems. Zhang actively seeks students (Masters/PhD/interns) and industry collaborations to advance AI’s role in programming and software engineering. Her research bridges foundational AI capabilities with real-world software development challenges, emphasizing both technical innovation and educational impact.

Tam Cai Lianمشاهده پروفایل

دانشیار

• Counselling Psychology
• Adolescent Mental Health
• Drug Abuse Prevention
• +۷ مورد دیگر

Tam Cai Lian is an Associate Professor at the Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia. She is a registered counselling psychologist and panel counsellor with the Board of Counsellors Malaysia. Dr. Tam serves as the coordinator for the Master of Professional Counselling (MoPC) program and is the unit coordinator for key courses including Children and Adolescents Counselling and Counselling Skills: Individuals and Couple. Her research focuses on adolescent mental health, drug abuse, counselling effectiveness, and socio-emotional development in Malaysia’s multi-ethnic context. She has led and contributed to numerous research projects, including international collaborations on youth depression, sleep, and anxiety, as well as localized studies on school uniforms and national identity. Her work aligns with UN Sustainable Development Goals related to mental health and well-being. Dr. Tam's recent publications (2019–2024) reflect a strong engagement with psychological distress in gaming and gambling populations, religiosity and marital satisfaction, classroom design and student engagement, and resilience among refugee children. Her research integrates psychological theory with real-world applications in education, public health, and community development. Scientific Awards: Monash-Sunway Decarbonization initiative: Microalgae farming and Native Tree Planting (23 Aug 2018, Other distinction) Dr. Tam has been actively involved in research grants and collaborative projects, including as Chief Investigator in multiple funded studies. She mentors students through the MoPC program and contributes to curriculum development and academic leadership. Her work bridges clinical psychology with public health and education, emphasizing culturally sensitive and evidence-based interventions. She is involved in research teams focusing on youth mental health across continents, neurological disease prediction using AI, and socio-emotional learning in marginalized communities. These collaborations highlight her interdisciplinary approach and commitment to impactful, translational research.

Mousumi Banerjeeمشاهده پروفایل

استاد پژوهشی

• Biostatistics
• Cancer Research
• Health Services Research
• +۴ مورد دیگر

Mousumi Banerjee is the Anant M. Kshirsagar Collegiate Research Professor in the Department of Biostatistics at the University of Michigan School of Public Health. She also holds the position of Research Professor in Global Public Health and serves as Director of Biostatistics for the Pediatric Cardiac Critical Care Consortium (PC4) Analytic Center and Director of Global StatCore. Her affiliations include the Rogel Cancer Center, Institute for Healthcare Policy and Innovation, Center for Global Health Equity, and Michigan Institute for Data Science (MIDAS). Bachelor's & Master's in Statistics from Indian Statistical Institute, Kolkata PhD in Statistics from University of Wisconsin-Madison (1994) Dr. Banerjee develops advanced statistical methodologies for biomedical applications, particularly in cancer and pediatric heart disease. Her research includes predictive modeling, machine learning, causal inference, survival analysis, and correlated data techniques. She focuses on health disparities and equitable care delivery, collaborating across disciplines including neurology, surgery, and social determinants of health. Recent publications demonstrate her expertise in statistical algorithm development for clinical quality assessment, disease classification, and healthcare outcomes. Her work spans applications in bladder cancer detection, thyroid cancer follow-up imaging, HPV-related oropharyngeal carcinoma analysis, and cardiac arrest prevention in pediatric critical care settings. Scientific Awards Fellow of the American Statistical Association Elected member of the International Statistical Institute As Director of Global StatCore, Banerjee enhances biostatistical support for global public health initiatives. She leads major methodological projects for the Pediatric Cardiac Critical Care Consortium (PC4) and works with national datasets like SEER, NCDB, and Medicare claims to analyze healthcare disparities and quality improvement metrics.