جست‌وجوی استاد و پژوهشگر

Nancy A. Morrisمشاهده پروفایل

دانشیار

• Developmental Criminology
• Cross-National Crime Patterns
• Crime Prevention Strategies
• +۱ مورد دیگر

Nancy A. Morris is an Associate Professor and Program Chair of Criminal Justice at Virginia Commonwealth University's L. Douglas Wilder School of Government and Public Affairs. She holds a Ph.D. in Criminology and Criminal Justice from the University of Maryland. Her research examines developmental criminology, cross-national patterns of violence, spatial crime distribution, and terrorism dynamics using advanced quantitative methods. Her education includes: B.A. in Sociology and B.S. in Political Science from Virginia Tech M.S. and Ph.D. in Criminology and Criminal Justice from University of Maryland Morris's research investigates continuity and change in criminal behavior across the life course, cross-national patterns of lethal violence (including homicide and terrorism), and the spatial-temporal dynamics of crime at micro-places. She employs longitudinal and spatial analyses to examine criminal persistence/desistance, country-level terrorism trajectories, and place-based crime prevention strategies. Her publications demonstrate consistent focus on: Behavioral genetics of criminality using Scandinavian datasets Counterterrorism policy and target selection dynamics Methodological innovations in measuring crime patterns Honors include: Predoctoral fellowship with National Consortium of Violence Research Professional affiliations: American Society of Criminology (subcommittee service) Academy of Criminal Justice Sciences American Sociological Association American Psychological Association

Mario D. Garrettمشاهده پروفایل

استاد

• Gerontology
• Dementia Research
• Public Health
• +۴ مورد دیگر

Professor Mario D. Garrett is a distinguished academic in Gerontology at San Diego State University (SDSU), holding the rank of Professor in the School of Social Work within the College of Health and Human Services. His career spans over three decades, with extensive experience in global aging research, including roles at the United Nations International Institute on Aging and leadership positions at SDSU, such as Chairman of Gerontology and Director of the University Center on Aging. Education: He earned a Ph.D. in Psychology from the University of Bath (1988) and a B.Sc. (Honors) in Psychology and Physiology from the University of East London (1980). Research Focus: His work centers on dementia, critical age theory, and aging policy, with particular attention to indigenous populations and public health. He has authored nine books, including influential texts like Critical Age Theory , and publishes widely in peer-reviewed journals. Teaching and Community Engagement: Garrett teaches courses such as Psychology of Aging and Gerontology , and is founder of the Coming of Age Film Festival . He has advised over 20+ master’s theses and secured grants exceeding $10 million, focusing on caregiver resilience and American Indian health. Awards: Recognized as the Most Popular Gerontology Professor in America (Authority.org, 2022–2023), he has received multiple Outstanding Faculty awards and international honors for his contributions to aging research and policy. Key Achievements: Developed groundbreaking GIS databases for American Indian health, critiqued Alzheimer’s research frameworks, and advocated for elder care through media, blogs, and policy initiatives.

Emma L Carterمشاهده پروفایل

مدرس ارشد

• Automotive Safety
• Pedestrian Injury Mitigation
• Blast Injury Mitigation
• +۷ مورد دیگر

Dr. Emma L Carter is a Senior Lecturer in Solid Mechanics and Course Leader for the Mechanical Engineering Technology (BEng) Degree Apprenticeship at the Department of Engineering and Mathematics, College of Business, Technology and Engineering. She leads modules including Level 7 Applied Fatigue and Fracture Mechanics and Level 4 Engineering Principles for Apprentices. Her qualifications include MEng&Man(Hons), PhD, Chartered Engineer status, and Fellow of the Higher Education Academy. With 5 years in manufacturing (specializing in steel processing and lean manufacturing), she transitioned to academia in 2002, focusing on multi-body dynamics, pedestrian safety, MEMS, counter-terrorism blast modeling, and auxetic materials. Research interests span automotive safety, blast injury mitigation, finite element modeling, and genetic algorithm optimization. She has supervised a PhD student and multiple MSc/BEng dissertations. Notable awards include Athena SWAN advocacy and a DocFest competition finalist title. Her work includes EPSRC-funded research on auxetic metamaterials' wetting properties and public perception studies on counter-terrorism measures. Key Projects: EPSRC-funded 'Wetting of Auxetic Metamaterials' Teaching: BEng Mechanical Engineering Technology (Degree Apprenticeship), Aerospace Engineering MEng Professional Affiliations: Member of Institution of Mechanical Engineers Publications highlight contributions to pedestrian safety modeling, MEMS-based Casimir force investigations, and blast mitigation technologies.

• Artificial Intelligence and Data Science
• Data Management & Mining
• Machine Learning & Intelligence
• +۳ مورد دیگر

ZHENG Baihua serves as Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS), concurrently holding leadership roles as Associate Dean for SCIS Post-Graduate Research Programmes and Director of the Master of Science in Computing programme. Currently on leave but maintaining full-time faculty status, his academic career spans over two decades with foundational training from Hong Kong University of Science and Technology. Professor Zheng's research program integrates artificial intelligence, data science, and urban computing to solve critical challenges in mobility and sustainability. His expertise centers on trajectory data management, social network analysis, and spatio-temporal modeling, with significant contributions to trajectory compression algorithms, influence minimization in social networks, and real-time traffic prediction systems. His work bridges theoretical database innovations with practical applications in smart city infrastructure and public health interventions. Analysis of recent publications (2024-2025) reveals a dominant focus on physics-informed trajectory processing, GPU-accelerated indexing for high-dimensional data, and transformer-based models for urban mobility prediction. Key trends include the fusion of graph neural networks with spatio-temporal dynamics, novel approaches to contact tracing through timeline graphs, and differentiable search techniques for structured data discovery. These works consistently target real-world deployment in transportation systems and epidemic control. No scientific awards are documented in available institutional records. Information regarding student supervision, research grants, laboratory facilities, or collaborative teams remains unspecified in current public profiles.

George Slotaمشاهده پروفایل

دانشیار

• Graph Mining
• Network Analysis
• Big Data Analytics
• +۵ مورد دیگر

George Slota serves as an Associate Professor in the Computer Science Department within the School of Science at Rensselaer Polytechnic Institute (RPI). Previously, he held positions as a Computer Scientist at Sandia National Labs New Mexico and as a Computer Engineer at the Naval Undersea Warfare Center. His research spans graph and network mining, big data analytics, machine learning, bioinformatics , and their intersections with parallel computing, scientific computing, and high performance computing . His work focuses on scalable algorithms for trillion-edge graphs, graph partitioning, community detection, and GPU-accelerated graph processing. His recent publications reveal strong emphasis on graph coarsening and spectral methods distributed graph algorithms for biconnectivity and coloring random graph generation and validation GPU acceleration for graph neural networks His research has been recognized with a prestigious NSF CAREER award supporting his project "Scalable Graph Processing to a Quadrillion Edges and Beyond." Award: National Science Foundation Faculty Early Career Development (CAREER) Award His work demonstrates consistent funding and collaboration with major national laboratories including Sandia National Labs and involvement in ExaGraph projects targeting exascale computing challenges. He maintains an active research group focused on extreme-scale graph analytics.

• Machine Learning
• Bioinformatics
• High Performance Computing
• +۵ مورد دیگر

Daniel Peralta Cámara is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work spans Machine Learning , Bioinformatics , High Performance Computing , and Biometrics , with a focus on Single-Cell Data Analysis , Image Cytometry , and Missing Value Handling . Affiliation: Ghent University Academic Rank: Researcher Research Disciplines: Data Mining, Parallel Computing, Bioinformatics, High Performance Computing His research designs scalable machine learning frameworks for biological and engineering applications, including SCIP for morphological profiling and MSDeepAMR for antimicrobial resistance prediction. He explores advanced techniques like Polar Encoding for missing data and Fuzzy Rough Sets for classification uncertainty, contributing to one-class classification and novelty detection through Python libraries like Fuzzy-rough-learn 0.2 . Key Trends: Hybrid CNN-LSTM for sports analytics Time-series feature selection in healthcare UWB/IMU wearable integration for animal monitoring Dr. Peralta supervises PhD candidates like Maxim Lippeveld (2025) and Oliver Urs Lenz (2023). His collaborations span Ghent University researchers including Eli De Poorter , Chris Cornelis , and Yvan Saeys . Applications: Badminton strategy analysis Goat activity classification White blood cell identification

George Karabatisمشاهده پروفایل

استاد

• Cyber-security
• Semantic Information Integration
• Workflow Systems
• +۵ مورد دیگر

George Karabatis is a Professor of Information Systems at the University of Maryland, Baltimore County (UMBC). He currently serves as the Director of Entrepreneurship and Innovation Minor at UMBC and holds roles as Liaison for Programmatic Innovations in the Department of Information Systems. With a Ph.D. and M.S. in Computer Science and a B.S. in Mathematics, he previously worked as a Research Scientist at Telcordia Technologies. His research focuses on cybersecurity (intrusion detection via contextual semantics), semantic information integration, workflow systems, and database applications for mobile devices. Key contributions include developing flow-based detection approaches using semantic networks and exploring contextual anomaly detection for zero-day attacks. Teaching expertise spans courses like Systems and Information Integration (IS 722), Mobile Data Management (IS 720), and Advanced Database Projects (IS 620). His work bridges theoretical foundations with practical implementations in enterprise systems and mobile technologies.

Sara Poloمشاهده پروفایل

مدرس ارشد

• Political Violence
• Terrorism Studies
• Civil War Analysis
• +۳ مورد دیگر

Sara Polo is a Senior Lecturer (Associate Professor) in the Department of Government at the University of Essex. Previously, she served as an Assistant Professor of Political Science at Rice University. Her research focuses on political violence, including terrorism, civil war, and gender-based violence in conflict settings. Key areas include the migration-terrorism nexus, security impacts of migration policies, and authoritarian institutions' influence on conflict. She holds a PhD and MSc in Government and International Relations from the University of Essex. Her work has been funded by the Economic and Social Research Council (ESRC) and the Global Challenges Research Fund (GCRF). Notable publications appear in journals such as the Journal of Politics and International Organization . Her research explores how migration policies affect intergroup conflict, insurgent state-building, and gendered civilian victimization. Awards include the 2019 APSA Best Paper Award and the 2021-2022 Network of European Peace Scientists Medal. She teaches courses on political violence and conflict analysis, offering academic support Monday 3-5 PM in Office 5.419. Grants and funding have supported projects on terrorism diffusion, refugee policies, and public violence against women. Labs and collaborations include interdisciplinary teams studying conflict dynamics and security policy implications.

Jinqiu Yangمشاهده پروفایل

دانشیار

• Software Engineering
• Automated Program Repair
• Software Testing
• +۴ مورد دیگر

Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on software reliability, automated program repair, software testing, and quality assurance of machine learning systems, particularly in autonomous vehicles. He holds a PhD and MASc from the University of Waterloo and a B.Eng. from Nanjing University. Yang has been a tenure-track faculty member at Concordia since 2018, following research roles at IBM Watson and IBM CAS. Research Interests: Automated Program Repair Software Testing Machine Learning Systems Text Analytics of Software Artifacts Mining Software Repositories Autonomous Systems Quality Assurance Key Contributions: His recent work includes detecting concept drifts in ML systems (ICSE-25) and investigating social bias in LLM-generated code (AAAI-25). He leads the O-RISA Lab and has authored over 50 peer-reviewed publications, including distinguished papers at MSR-2018. Yang currently holds grants such as the NOVA FRQNT-NSERC Program (2024-2027) and the NSERC Discovery Grant (2019-2025). Service & Awards: Editorial Board Member of the Empirical Software Engineering Journal (EMSE) and active PC member in top venues like ICSE and FSE. Recipient of the IBM CAS Fellowship and ACM SIGSOFT Distinguished Paper Award. Teaching & Students: He mentors students in Master's and PhD programs, with funding available. His lab focuses on cutting-edge topics like secure code generation and autonomous vehicle reliability.

• Finance
• Corporate Governance
• Financial Literacy
• +۷ مورد دیگر

Ariful Hoque is a Senior Lecturer in Finance at Murdoch University's College of Business. He holds a Doctor of Philosophy in Financial Engineering from Curtin University, a Bachelor of Civil Engineering from Bangladesh University of Engineering and Technology, and a Certified Oracle Database Administrator qualification from Oracle. His research focuses on finance, corporate governance, banking operations, FinTech, and sustainability, with a particular emphasis on green innovation, financial literacy, and market volatility analysis. Dr. Hoque's educational background includes civil engineering and financial engineering, reflecting his interdisciplinary approach to financial research. His work spans empirical studies on currency options pricing, Islamic finance resilience, and the impact of digital transformation on banks. His research interests include evaluating the role of institutional quality in green innovation, analyzing market efficiency in global financial contexts (e.g., S&P 500, Shanghai ETFs), and exploring FinTech's implications for sustainable development. He has also investigated how corporate governance structures influence banking practices, particularly in emerging economies like Vietnam and Bangladesh. His publications highlight trends in volatility analysis (e.g., implied volatility smirk prediction during crises), the interplay between financial literacy and microfinance access, and the application of big data in optimizing banking processes. His work often integrates quantitative methods with real-world policy and regulatory challenges. Dr. Hoque has not been explicitly mentioned as having received scientific awards, though his extensive publication record reflects scholarly contributions. His supervision record is not detailed here, but his research collaborations likely involve postgraduate students in finance and related fields. He has engaged in projects analyzing municipal financial conditions in Bangladesh and corporate governance in Australian firms. His affiliations include Murdoch University, where he contributes to teaching and research in finance, alongside his academic roles. His work bridges theoretical finance with practical applications in sustainability, technology, and global market dynamics.

Pia Manzمشاهده پروفایل

پژوهشگر

• Energy Systems Modelling
• District Heating
• Renewable Energy
• +۴ مورد دیگر

Pia Manz is a Researcher at the Department of Energy Technologies and Energy Systems at Fraunhofer ISI since 2017, focusing on energy system transformation pathways with an emphasis on district heating, excess heat utilization, and GIS-based modeling. She holds a PhD from Utrecht University (2024) on 'Towards climate-neutral district heating in the EU,' awarded for her dissertation exploring decarbonization strategies for heating systems. Her educational background includes a Bachelor's in Renewable Energy Technology and Systems Engineering from Nordhausen University of Applied Sciences, complemented by international experience at the University of Dundee, Scotland. During her studies, she gained hands-on research experience as a research assistant at Nordhausen's Institute for Renewable Energy Technology. Manz's research bridges technical analysis and policy design, addressing challenges such as cost-effective integration of renewable and excess heat into district heating systems, hydrogen infrastructure needs in decarbonized energy systems, and spatial analysis of heat potentials. Her work frequently employs geographic information systems (GIS) to model demand sectors and assess policy instruments. Her publication trends show a consistent focus on EU-wide decarbonization pathways, with contributions to studies like 'Achieving climate neutrality in district heating' (2025) and 'Hydrogen Infrastructure in the Future CO2-Neutral European Energy System' (2025). She collaborates extensively with institutions like Utrecht University and the German state of Baden-Württemberg on energy transition scenarios and congestion management strategies. Key contributions include developing the FORECAST model for bottom-up industry sector analysis and pioneering georeferenced databases for industrial excess heat potentials. Her interdisciplinary approach integrates technical, economic, and policy dimensions to advance climate-neutral energy systems.

Simon S.Y. Shimمشاهده پروفایل

استاد

• Internet Computing
• Database Management
• Machine Learning
• +۳ مورد دیگر

Simon S.Y. Shim is a Professor in the Computer Engineering Department at San Jose State University (SJSU). He holds a PhD in Computer Science from the University of Minnesota (1997). His research focuses on Internet Computing, Database Management, Machine Learning, and Information Retrieval. He has extensive industry experience as a Director at SAP Labs, working on in-memory database systems. Shim has served on the editorial board of IEEE Computer, including a 5-year tenure as Area Editor for Internet Computing. He has guest-edited special issues on High-Speed Security (2004), CAP Theorem (2012), and Next-Gen Memory (2013). He co-authored one technical book and holds multiple patents. His professional contributions include organizing IEEE Data Engineering workshops, IEEE Mobile Commerce, and IEEE Electronic Commerce events. Shim has published over 50 peer-reviewed articles and actively participates in academic service roles. His work emphasizes interdisciplinary applications of computer science in e-commerce, distributed systems, and multimedia technologies.

Alanna Ossaمشاهده پروفایل

دانشیار

• Mesoamerican Archaeology
• Hohokam Archaeology
• Ancient Economies
• +۷ مورد دیگر

Alanna Ossa is an Associate Professor and Department Chair in the Anthropology Department at SUNY Oswego, serving as NAGPRA Coordinator. She holds a PhD in Anthropology from Arizona State University (2011), with prior experience as a Senior Project Manager in Cultural Resource Management. Her research focuses on Mesoamerican archaeology, particularly Postclassic Veracruz and Hohokam studies, emphasizing ancient economies, ceramic analysis, network analysis, GIS, and archaeological data curation. Her work integrates quantitative methods to explore prehistoric exchange systems, urbanism, and market development. Notable publications include studies on craft production in Veracruz (2024), Mesoamerican urbanism (2023), and plaza design in Mesoamerican cities (2017). She has secured grants from NSF and SUNY. Her fieldwork includes leading the 2022 Archaeology Field School at the Richardson Bates House, mentoring students in archaeological methods. Ossa advocates for database design to enhance legacy data accessibility. Awards include the Early Start Competitive Grant and NSF Grant BSC-0742324. Her interdisciplinary approach bridges archaeology with computational models and environmental studies, contributing to understanding prehistoric economic and social structures.

Daniel Jacksonمشاهده پروفایل

استاد

• Software Engineering
• Formal Methods
• Human-Computer Interaction
• +۴ مورد دیگر

Roles and Affiliations: Daniel Jackson is a Professor of Computer Science and Engineering at MIT, and Associate Director of CSAIL (Computer Science and Artificial Intelligence Lab). He leads the Software Design Group, focusing on conceptual software design, formal methods, and cybersecurity. Education and Professional Background: Jackson's work includes collaborations with NASA, Toyota, and Massachusetts General Hospital. He earned his ACM Fellow distinction and authored influential books like Software Abstractions and The Essence of Software . Research Interests: Jackson's research spans conceptual software design, formal methods using Alloy, cybersecurity, and autonomous systems. His projects include Riffle (local-first applications), Wildcard (web customization), and Certified Control (safety-critical systems). Articles Trends: Recent work emphasizes cybersecurity in autonomous vehicles, declarative diagram composition (Bluefish), and end-user software customization. His publications bridge theory and practical applications, often addressing dependability and usability. Awards and Recognition: ACM SIGSOFT Impact Award (2016), ACM SIGSOFT Outstanding Research Award (2017), MIT MacVicar Teaching Fellow, and MLK Leadership Award (2018). Grants and Labs: Supported by NSF grants and collaborations with industry, Jackson's work includes MIT’s Future of Data Initiative and cybersecurity projects. His lab, the Software Design Group, develops tools like Alloy and explores new paradigms for software development.

Adi Yoga Sidi Prabawaمشاهده پروفایل

مدرس ارشد

• Automated Software Verification
• Language-based Information Flow Control
• Type System
• +۴ مورد دیگر

Adi Yoga Sidi Prabawa is a Senior Lecturer (Educator Track) at the National University of Singapore's School of Computing, Department of Computer Science. He also serves as Deputy Director of the Centre for Nurturing Computing Excellence (CeNCE). His academic journey includes a B.Sc. in Computer Science (2011) and Ph.D. in Computer Science (2019), both from NUS. His research focuses on Automated Software Verification , Language-based Information Flow Control , Type System , and Program Analysis . His work bridges theoretical computer science with practical security applications. His teaching spans computer organization, database systems, and programming languages, where he has developed educational tools for MIPS processor simulation and compiler implementation. His research publications include work presented at VMCAI 2018 and APLAS 2019, focusing on information flow verification and lattice representation in theorem provers. These works demonstrate his expertise in formal methods and programming language theory. IBM Certified Database Associate Microsoft Certified Technology Specialist Microsoft SQL 2008 Business Intelligence Development and Maintenance As an educator, he has taught numerous courses including CS2100 Computer Organisation, CS2102 Database Systems, and CS1010E Programming Methodology across multiple semesters from 2018-2022. He has developed comprehensive educational materials including MIPS interpreter, assembler, and compiler tools that serve as valuable resources for students learning computer architecture.