جست‌وجوی استاد و پژوهشگر

David Boyceمشاهده پروفایل

استاد مدعو

• Metropolitan Transportation Planning
• Urban Travel Forecasting
• Transportation Network Modeling
• +۳ مورد دیگر

David Boyce is an Adjunct Professor of Civil and Environmental Engineering at Northwestern University's McCormick School of Engineering. His expertise spans metropolitan transportation planning, urban travel forecasting models, and transportation network analysis. He holds a BS from Northwestern University, an MCP from the University of Pennsylvania, and a PhD in Regional Science from the University of Pennsylvania (1965). BS: Civil Engineering, Northwestern University (1961) MCP: City and Regional Planning, University of Pennsylvania (1963) PhD: Regional Science, University of Pennsylvania (1965) His research focuses on integrating transportation networks with land use, discrete choice theory, and entropy-based methods. Notable contributions include work on the TAPAS traffic assignment model and user-equilibrium route choice problems. Boyce has authored over 50 publications, emphasizing network equilibrium models, historical analyses of transportation theory, and policy applications. His articles highlight advancements in urban travel forecasting, multi-class models, and algorithmic solutions for traffic assignment. Recent work explores the historical foundations of transportation science and computational impacts on planning practices. Robert Herman Lifetime Achievement Award (2003) Fellows Awards from ASCE (2009), INFORMS (2003), and RSAI (2002) Boyce has advised on large-scale transportation projects and contributed to interdisciplinary teams advancing regional science. His research bridges theoretical models with practical urban planning challenges, emphasizing sustainable infrastructure and policy innovation.

Dan Benardotمشاهده پروفایل

استاد

• Sports Nutrition
• Athletic Performance
• Energy Balance
• +۳ مورد دیگر

Dan Benardot is a Professor of Practice at Emory University’s Center for the Study of Human Health, following his tenure as a tenured full Professor at Georgia State University (GSU), where he remains a Professor Emeritus. He holds a BS in Foods and Nutrition from SUNY Plattsburgh and a PhD in Human Service Studies and Nutrition Sciences from Cornell University. A Fellow of the American College of Sports Medicine (ACSM) and a Registered Dietitian, he has been recognized with awards including the American Dietetic Association’s Sports Nutrition Achievement Award (1993) and an honorary doctorate from Marywood University. Roles: Professor of Practice (Emory), Former Chair of Nutrition at GSU, Former Director of the Laboratory for Elite Athlete Performance (GSU). Research Focus: Within-day energy balance in athletes, sports nutrition strategies, and nutritional impacts on athletic performance and health. Key Contributions: Co-author of the joint ACSM/AND position paper on Nutrition and Athletic Performance, inventor of NutriTiming® software, and author of seminal textbooks like Advanced Sports Nutrition and ACSM’s Nutrition for Exercise Science . His research emphasizes practical applications of nutrition for athletes, including optimizing energy timing, protein intake, and preventing energy deficits. Recent work explores youth athlete nutrition, fatigue management, and metabolic adaptations in endurance sports. Funding & Grants: Supported by the US Olympic Committee, Georgia Research Foundation, Gatorade Sports Science Institute, and others. Awards: Highlighted awards include the USA Gymnastics Outstanding Educator Award (1996) and his role as nutritionist for US Olympic teams (e.g., USA Gymnastics, USA Track and Field). Benardot’s interdisciplinary approach bridges academia and practice, influencing policies in sports medicine and nutrition education.

Irina Lyublinskayaمشاهده پروفایل

استاد

• STEM Education
• Mathematics Education
• Science Education
• +۵ مورد دیگر

Irina Lyublinskaya is a Professor of Mathematics and Education at Teachers College, Columbia University. She is affiliated with the Mathematics, Science & Technology department and specializes in STEM education, mathematics education, and educational technology. Her research interests include teacher education, international education, and curriculum development. Lyublinskaya holds a Ph.D. and M.S. in Theoretical and Mathematical Physics from Leningrad State University (now St. Petersburg State University). Her scholarly work spans over three decades, with a focus on integrating technology into mathematics and science education. Notable contributions include co-authoring textbooks such as Geometry investigations with GeoGebra and Exploring precalculus with The Geometer’s Sketchpad . Her recent research emphasizes culturally responsive teaching, TPACK framework applications, and robotics integration in elementary education. Lyublinskaya’s publications explore topics like teacher professional development, special education technology competency, and cross-cultural STEM pedagogy. She has mentored students such as Xiang Du and Alyssa Kaplon-Schilis, who co-authored impactful studies on TPACK trajectories and culturally relevant mathematics tasks. Her work bridges theoretical research and practical classroom applications, advocating for innovative educational technologies.

Nancy Levesonمشاهده پروفایل

استاد

• System safety
• Organizational safety
• Safety culture
• +۵ مورد دیگر

Nancy Leveson is the Jerome C. Hunsaker Professor of Aeronautics and Astronautics and Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) within the School of Engineering. An elected member of the National Academy of Engineering, she pioneered a paradigm-changing approach to system safety that enables engineering safer critical systems globally. Her educational background includes: B.A. from UCLA M.S. from UCLA Ph.D. from UCLA Leveson's research revolutionized system safety through interdisciplinary work spanning software safety, organizational safety culture, and human-computer interaction in complex systems. Her methodologies address safety in software-controlled systems where traditional engineering approaches fail, particularly in aerospace, medical devices, and transportation. This work established foundational principles for preventing catastrophic failures in increasingly autonomous systems. Her major honors include: Member of the National Academy of Engineering (2000) ACM Allen Newell Award for outstanding computer science research (1999) AIAA Information Systems Award for developing software safety practices (1995) ACM Fellow (1995) ACM Faculty Award for Women (1990) ACM Sigsoft Outstanding Research Award (2005) Leveson consults extensively with aerospace, automotive, and healthcare industries on accident prevention methodologies. She has supervised numerous graduate students and led research initiatives translating theoretical safety frameworks into practical engineering standards. Her advisory work informs regulatory policies for safety-critical systems worldwide. She directs research through the MIT Partnership for Systems Approaches to Safety and Security (PSASS) and the Engineering Systems Lab, focusing on next-generation safety engineering for autonomous systems and AI-driven technologies.

• Software Engineering
• Equity, Diversity and Inclusion
• AI Ethics
• +۵ مورد دیگر

Professor Sue Black is a Professor of Computer Science and Technology Evangelist at Durham University's Department of Computer Science. She is renowned for leading the successful social media campaign to save Bletchley Park, a pivotal site in computing history, and for founding BCSWomen, the UK's first online network for women in tech. Holding an OBE for services to technology, she advises the UK government and sits on Comic Relief's board. Her research focuses on software engineering, AI ethics, digital inclusion, and equity in tech. She has pioneered tech training programs for underrepresented groups through initiatives like TechUP. A public speaker and author, her book Saving Bletchley Park chronicles her campaign's impact. She balances academic rigor with grassroots activism, advocating for inclusive technology ecosystems globally. Education: BSc(Hons) Computing Studies (London South Bank University, 1993), PhD in Software Engineering (2001). Single mother of three by 25, she pursued education while overcoming significant personal challenges. Awards: OBE (2016), Forbes Top 50 Women in Tech, International Social Impact Award (2017). Grants & Impact: Leads digital skills programs reaching thousands in underserved communities. Advises on national digital strategies and chairs panels on AI ethics. Her work bridges academia, industry, and social justice.

• Cybersecurity
• Computer Security
• Hardware Security
• +۶ مورد دیگر

Herbert Bos is a Full Professor at Vrije Universiteit Amsterdam, holding positions in the Faculty of Science (Computer Systems department), the Network Institute, and the Systems and Network Security group. His research focuses on hardware and software security, including transient execution attacks, memory exploitation, and vulnerability detection. He has authored over 229 research outputs, including influential papers on Spectre mitigation, Rowhammer attacks, and fuzzing techniques. Notable contributions include frameworks like PANDAcap and BinRec. Bos teaches courses such as Binary and Malware Analysis and Operating Systems. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure security. Education details are not explicitly provided, but his academic titles (prof. dr. ir.) suggest advanced degrees in computer science and engineering. Ancillary activities include roles as an author for Pearson textbooks and a member of the Kiesraad in The Hague. Research interests emphasize cutting-edge hardware vulnerabilities (e.g., Spectre, Rowhammer), memory safety, and automated testing (fuzzing). Recent work highlights practical defenses against transient data leaks (Phantom Trails) and data-only attacks. Collaborations span international institutions, reflecting his global influence in cybersecurity. Publications since 2016 showcase advancements in CPU architecture security, kernel exploitation, and embedded device defenses. His datasets (e.g., PANDAcap SSH Honeypot) provide foundational resources for the security community. Grants and lab affiliations are inferred through his research outputs and teaching roles.

Roman Lukyanenkoمشاهده پروفایل

دانشیار

• Conceptual Modeling
• Information Quality
• Artificial Intelligence and Machine Learning
• +۵ مورد دیگر

Roman Lukyanenko is an Associate Professor of Commerce at the University of Virginia’s McIntire School of Commerce. He teaches courses in global strategy, systems, and business analytics. Prior to academia, he worked in IT roles including web programming, database development, and consulting for organizations like ExxonMobil and CapitalOne. His research focuses on conceptual modeling, information quality, AI/ML, and design science research. Notable contributions include work on citizen science data quality and transparency in design science. His research has been published in top journals like Nature , MIS Quarterly , and Information Systems Research . Education : Ph.D. in Operations and Information Management (University of Newfoundland), Bachelor of Technology, and IT Diploma (New Brunswick Community College). Key awards include the Gold Medal from Canada’s Governor General, INFORMS Design Science Research Award, and AIS Dissertation Award. He has led professional organizations, serving as Vice President and President of the AIS Special Interest Group on Systems Analysis & Design. Lukyanenko’s work bridges academic and practical domains, emphasizing information systems’ societal impact. He contributes to interdisciplinary initiatives at UVA’s Centers for Business Analytics and Management of IT. His prior industry experience enriches his teaching and research on real-world IT challenges.

Patrick Floranceمشاهده پروفایل

مدرس ارشد

• Geographic Information Systems (GIS)
• Geospatial Technology
• Crisis & Humanitarian Mapping
• +۷ مورد دیگر

Patrick Florance is the Director of Research Technology at Tufts University, where he leads Tufts Technology Services’ support for High-Performance Computing, research storage, scientific instrumentation, and data science. He is concurrently an affiliate of the Department of Urban & Environmental Policy & Planning in the School of Arts and Sciences and a senior instructor at the Fletcher School of Law and Diplomacy. Education Bachelor of Arts, University of Oregon, Eugene, United States Master of Arts, Geography – Geographic Information Science, City University of New York – Hunter College, New York, United States Research & Scholarly Interests Florance’s scholarship and service converge on the design, deployment, and governance of open-source geospatial infrastructures. His work encompasses: Global and humanitarian mapping, crisis mapping, and geospatial support for disaster response Development of the Open Geoportal (OGP) Federation — a Sloan-funded collaborative platform for sharing geospatial data across universities 3D GIS, remote sensing, UAV/drone workflows, and spatial data infrastructures for urban modeling Digital humanities, natural language processing, and data-mining approaches to historical and textual geodata Geospatial pedagogy, open-data advocacy, and capacity-building in the developing world Publications & Intellectual Trajectory Across more than two decades, Florance has authored or co-authored scholarly articles, software reviews, and special journal issues that advance both technical architectures and sociotechnical practices for geospatial information curation. His writings trace a trajectory from foundational concerns of GIS collection development in academic libraries to contemporary challenges of real-time, open, and ethical crisis mapping. Scientific Awards & Grants Alfred P. Sloan Foundation – Open Geoportal Cloud (OGP) Federation (US$ grant, 2013) University Service & Leadership Patrick chairs or serves on multiple university committees driving data-intensive research strategy: Data Analytics Steering Committee, School of Arts & Sciences Digital Humanities Steering Committee, Tufts University Data-Intensive Scholarship Center (DISC) Advisory Committee on Infrastructure and Services (ACIS) GIS Steering Committee Research Data Services Committee Labs, Teams & Infrastructure He directs the Tufts Data Lab , a campus hub for GIS, statistics, visualization, and machine-learning services, and oversees the Open Geoportal Project , a multi-institutional consortium providing federated discovery and access to geospatial data sets. His team supports thousands of researchers university-wide with high-performance compute clusters, research storage arrays, and discipline-specific scientific instrumentation.

Emile Rugamika Chimusaمشاهده پروفایل

استاد

• Computational Population Genomics
• Bioinformatics
• Genome-Wide Association Studies
• +۵ مورد دیگر

Prof. Emile Rugamika Chimusa is a Professor at Northumbria University , College of Engineering and Science, specializing in Computational Population Genomics and Bioinformatics . Previously, he served as Associate Professor and Programme Director at the University of Cape Town for postgraduate programs in Computational Health Informatics and Human Genetics. His research focuses on genomic methodologies for analyzing large-scale genomic data, including Genome-wide association studies Admixture mapping in mixed-ancestry populations Pharmacogenetics of disease treatments Multi-omics integration for disease-drug associations Development of bioinformatics tools Population-specific disease risk prediction He has received over £17.7 million in research funding from organizations like the NIH , Wellcome Trust , and National Research Foundation . His work spans translational genomics in both non-communicable and infectious diseases .

Jung-ran Parkمشاهده پروفایل

دانشیار

• Library & Information Science
• Data Science
• Knowledge Organization
• +۴ مورد دیگر

Jung-ran Park is an Associate Professor in the Department of Information Science at Drexel University's College of Computing & Informatics. Her research focuses on knowledge organization systems, metadata standards, multilingual information access, and cross-cultural communication in digital environments. She holds a Ph.D. in Linguistics (University of Hawaii, 2003) and an MLIS (2000), along with prior degrees from institutions in South Korea. Her work bridges linguistics and information science, addressing challenges in semantic interoperability, metadata quality, and professional development for cataloging and metadata specialists. Notable projects include studies on BIBFRAME implementation, RDA adoption barriers, and automated metadata generation systems for digital repositories. Research trends in her publications emphasize: 1) Metadata standardization (e.g., BIBFRAME, Dublin Core) and their practical applications; 2) Cross-cultural communication dynamics in social media and virtual reference services; 3) Professional training needs for evolving library technologies. Though no formal awards are listed, her contributions to metadata education and digital library systems are significant. Her advising focuses on preparing professionals for evolving information organization challenges, reflected in collaborative projects like metadata harvesting tools and continuing education resource repositories. Labs/Teams: Involved in digital repository development initiatives, metadata workflow optimization studies, and cross-cultural communication analysis teams within the College of Computing & Informatics.

Giovanni Dalmassoمشاهده پروفایل

دانشیار

• Computational Biology
• Developmental Biology
• Biomedical Image Analysis
• +۴ مورد دیگر

Giovanni Dalmasso is an Associate Professor in the Department of Mathematics and Data Analytics at the IQS School of Engineering, Ramon Llull University. His research focuses on computational modeling of biological systems, including morphogenesis, cellular homeostasis, and biomedical image analysis. He specializes in developing tools for 3D/4D visualization of developmental processes and agent-based models of cellular dynamics. Key research areas include: 3D/4D reconstruction of embryonic development (e.g., limb bud morphogenesis) Biological shape correspondence algorithms (μMatch) Systems biology approaches to mitochondrial function and stress responses Mathematical modeling of calcium signaling dynamics His work contributes to UN Sustainable Development Goals related to innovation and infrastructure through advances in bioimaging and computational tools. Collaborations span institutions globally, including projects with the University of Edinburgh and University Pompeu Fabra. He has developed open-source software like LimbLab and veda for scientific visualization. Research outputs emphasize interdisciplinary methods combining engineering, mathematics, and biology to address fundamental questions in developmental biology and cellular systems. Current efforts focus on integrating moral decision frameworks into AI agents through contractualist models.

Matthew R. Helmusمشاهده پروفایل

دانشیار

• Ecology
• Evolutionary Biology
• Invasion Biology
• +۸ مورد دیگر

Matthew R. Helmus is an Associate Professor of Ecology at Temple University in Philadelphia, USA. His research focuses on the intersection of ecological and evolutionary processes in generating biodiversity, with emphasis on invasion biology, island biogeography, and quantitative methods. He employs big data statistics, mathematical modeling, and field research in systems across the Eastern U.S. and Caribbean Islands, with additional work in entomology, ichthyology, and herpetology. Ph.D. in Zoology, University of Wisconsin Madison (2008) B.S. in Biology and Sociology, University of Central Arkansas (2001) Postdoctoral Fellow, Amsterdam Global Change Institute, Vrije Universiteit (2012-2016) Postdoctoral Fellow, University of Chicago (2010-2011) Postdoctoral Fellow, Xishuangbanna Tropical Botanical Garden (2009-2010) Dr. Helmus specializes in invasive species forecasting , particularly the spotted lanternfly's global threat to the wine industry. His work merges island biogeographic theory with anthropogenic drivers to update classical models for the Anthropocene. He also develops open-access quantitative frameworks like the R package lydemapr to enhance biodiversity science communication and stakeholder engagement. Recent publications (2022-2024) emphasize mathematical models for pest resistance , anthropogenic extinction patterns , and climate-buffered invasive species dynamics . While no explicit awards are listed in the provided text, his work has been published in high-impact journals including Nature , Communications Biology , and Global Ecology and Biogeography . Dr. Helmus leads the iEcoLab , which actively engages in ecological forecasting and software development for invasive species research. The lab recently advertised a postdoctoral position focused on urban ecology of invasive pests and host-plant phenology through the 2023 job posting .

• Project Management
• Remote Working
• Higher Education
• +۳ مورد دیگر

Dr. Aartee Huzooree is a Lecturer at Edinburgh Napier University's Business School, where she serves as Programme Leader for the BA Business Management and teaches Strategy and Project Management in the MBA Strategic Project Management programme. She holds a PhD in Computer Science from the University of Mauritius alongside MSc and BSc degrees in Software Engineering Projects and Computer Science Engineering. Her research spans multiple domains: Project management methodologies and remote work dynamics AI applications in education and healthcare systems Digital transformation in organizational contexts Health informatics with focus on chronic disease management Her recent publications (2021-2025) demonstrate strong emphasis on AI-driven solutions across sectors, particularly in sports analytics, personalized education, healthcare technology, and sustainable business practices. Awards include: Best Oral Presenter Award (2018) for diabetes sensor technology research As Programme Leader, she oversees student advising and curriculum development. Her work connects to the Centre for Business Innovations and Sustainable Solutions, focusing on technology-enabled solutions for contemporary business challenges.

Xiwen Luمشاهده پروفایل

استادیار

• Teaching Chinese as a Second Language
• Learning Sciences and Technology
• Computer-Based Language Education
• +۳ مورد دیگر

Xiwen Lu is an Assistant Professor in Chinese at Brandeis University, serving as Director of the Chinese Language Program, Undergraduate Advising Head, Study Abroad Liaison, and Co-Director of the Master of Arts Program in Chinese Language and Culture (Language Track). She holds a Ph.D. (Candidate) in Learning Sciences and Technology from Worcester Polytechnic Institute, an MA from Beijing Language and Culture University, and a BA from PLA University of Foreign Languages. Her research focuses on Teaching Chinese as a Second Language (TCSSL) , with specialties in Learning Sciences and Technology , Computer-Based Language Education , and Secondary Chinese Curriculum Design . She has developed innovative online platforms and textbooks, including Journeys (启程) and a computer-based advanced intermediate Chinese course pack. Dr. Lu has received significant recognition, including the 2019–2020 Provost’s Teaching Innovation Grant and multiple teaching fellowships. She teaches a broad range of courses from foundational to advanced levels, emphasizing conversation, composition, pedagogy, and practicum in the Chinese language curriculum. Her publications explore topics like handwriting efficiency in language learning, feedback mechanisms in online assignments, and bridging K-12 to college curricula. She has contributed to conferences globally, including the ACM Conference on Learning at Scale and the International Conference on Computer Supported Education.

Joonha Parkمشاهده پروفایل

استادیار

• Computational Statistics
• Sequential Monte Carlo Methods
• Markov Chain Monte Carlo (MCMC)
• +۵ مورد دیگر

Joonha Park is an Assistant Professor in the Department of Mathematics at the University of Kansas (since 2020), affiliated with the College of Liberal Arts & Sciences. His research focuses on computational statistics, including sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods, with applications to public health, Bayesian analysis, and spatio-temporal systems. He holds a Ph.D. in Statistics from the University of Michigan (2018), an M.A. from KAIST (2012), and a B.S. from MIT (2007). Education: Ph.D. in Statistics, University of Michigan, 2018 M.A. in Mathematical Sciences, KAIST, 2012 B.S. in Mathematics, MIT, 2007 Research Interests: Computational methods for statistical inference, spatiotemporal modeling, Bayesian statistics, and applications to public health. His work emphasizes developing scalable algorithms for implicitly defined models and high-dimensional systems. Publications: Recent work includes cross-cultural studies on well-being, computational inference methods (e.g., the sbi R package), and epidemiological modeling. His research bridges statistical methodology and real-world applications, often involving international collaborations. Labs/Teams: Active in computational statistics research groups, contributing to open-source tools like sbi and athmc . Collaborates with interdisciplinary teams on public health data analysis and spatiotemporal dynamics.