جست‌وجوی استاد و پژوهشگر

Gary J Natrielloمشاهده پروفایل

استاد

• Education Technology
• Online Learning
• School Organization
• +۶ مورد دیگر

Gary J Natriello is the Ruth L. Gottesman Professor in Educational Research and Professor of Sociology and Education at Teachers College, Columbia University. He chairs the Department of Human Development and directs the Learning Analytics Program and the Data, Learning, and Society Program. His education includes an A.B. from Princeton University and an A.M. and Ph.D. from Stanford University. Natriello’s research focuses on the social organization of online learning, performance assessment, school organization, and education for at-risk youth. His work emphasizes digital innovation in education, learning analytics, and the intersection of technology with policy and equity. Recent publications highlight themes like adaptive learning systems, educational policy challenges, and the costs of implementing new standards. He has advised on critical issues such as New York’s school funding requirements, estimating over $3.5 billion needed for infrastructure and staff development. Natriello also leads initiatives like EdLab, exploring technology-driven educational solutions. His contributions bridge academic research with practical applications in K-12 and higher education. Education: A.B. Princeton University; A.M., Ph.D. Stanford University Research Interests: His work spans education technology, online learning systems, school organization, and policies affecting urban and at-risk students. Recent articles address learning analytics, digital innovation, and the societal impact of educational standards. Natriello’s interdisciplinary approach integrates sociology, cognitive science, and data analysis to address 21st-century educational challenges. His articles reflect a focus on leveraging technology to personalize learning and improve outcomes, while also critiquing systemic barriers to equitable access. Natriello’s leadership in programs like Data, Learning, and Society underscores his commitment to data-driven educational reform. He has no listed awards but is recognized for influential policy analysis and program development.

Maaike Matelskiمشاهده پروفایل

استادیار

• Civil Society Dynamics
• Human Rights Advocacy
• Rights-Based Development
• +۷ مورد دیگر

Dr. Maaike Matelski is an Assistant Professor in Social and Cultural Anthropology at the Vrije Universiteit Amsterdam’s Faculty of Social Sciences and Humanities. She is affiliated with the Mobilities, Beliefs and Belonging (MOBB) research group. Her work focuses on civil society activism, rights-based advocacy, and transnational solidarity, particularly in Myanmar, Kenya, and Ghana. She holds a PhD recognized by the Praemium Erasmianum Prize (2018) and has produced influential publications like her 2024 book on Myanmar’s civil society. Her research explores advocacy legitimacy, intergenerational activism in Myanmar, and long-distance activism by diaspora communities. She coordinates the Anthropology department’s education program, teaching courses on conflict, peacebuilding, and professional anthropology. Her current projects include the Ethnographic Impact for Social Justice initiative (2023–2026), collaborating with societal partners to amplify local resistance narratives. She co-produced the documentary Letter to a Friend (2025) with Shan State youth. Research Interests: Civil society dynamics, transnational advocacy, community representation, human rights, Myanmar studies, Kenya studies, gendered activism, and diaspora networks. Key Projects: Community-based legitimacy toolkit (2021–2023), follow-up studies in Ghana and Kenya, and the Starter Grant project on social justice ethnography. Matelski has advised Indonesian PhD candidates researching hydrosocial dynamics and waste recycling in Indonesia. Her work has been shortlisted for the Routledge Area Studies Impact Award (2023) and recognized through media contributions addressing Myanmar’s socio-political crises.

Ahmet Cürebalمشاهده پروفایل

پژوهشگر

• Operations Research
• Linear Programming
• Mixed-Integer Programming
• +۵ مورد دیگر

Ahmet Cürebal is an External Doctoral Researcher at the Institute of Information Systems, part of the Business School at the University of Hamburg. He holds B.S. and M.S. degrees in Industrial Engineering from Kirikkale University, Turkey, and is currently pursuing his Ph.D. His research focuses on Operations Research with specializations in Linear Programming (LP), Mixed-Integer Programming (MIP), Combinatorial Optimization, Scheduling, Assignment, and Routing problems within Supply Chain contexts. Key research interests include solving real-world optimization challenges such as staff scheduling in retail sectors, driver workload balancing in logistics firms, and pandemic-era security personnel allocation. His work often involves applying metaheuristic methods like Variable Neighborhood Search (VNS) and Fixed Set Search (FSS) to complex operational problems. Notable publications explore applications such as straddle carrier routing in container terminals, bus route optimization for high-speed rail integration, and competency-based scheduling during crises. His methodologies frequently integrate Goal Programming and Analytical Network Process (ANP) for multi-criteria decision-making scenarios. Cürebal’s research demonstrates a strong emphasis on practical implementations across diverse industries, including healthcare, logistics, and retail, with a focus on balancing efficiency and real-world constraints through advanced mathematical modeling and algorithmic approaches.

Christopher Esteppمشاهده پروفایل

دانشیار

• Agricultural Education
• Teaching Methods
• Student Engagement
• +۵ مورد دیگر

Christopher Estepp is an Associate Professor in the Department of Agricultural Education, Communications & Technology at the University of Arkansas's Dale Bumpers College of Agricultural, Food and Life Sciences. He holds a B.S. in Animal Science from Texas A&M University (1997), an M.Ed. in Agricultural Education (2006), and a Ph.D. in Agricultural Education from the University of Florida (2012). His research focuses on agricultural education pedagogy, student engagement, technology integration in STEM education, and teacher professional development needs. He has published extensively on topics including student retention in agriculture programs, AI's role in programming education, and culturally responsive teaching strategies. Dr. Estepp's work emphasizes practical applications of educational theory in agricultural contexts, with particular attention to novice learners' challenges in technology-driven coursework. His recent studies explore the efficacy of generative AI tools like ChatGPT in supporting microcontroller programming education and the impact of intercultural sensitivity training on preservice teachers' classroom management skills. He also investigates structural factors influencing FFA chapter performance and student belongingness in agricultural colleges. His teaching responsibilities include courses integrating Arduino technology and agricultural systems engineering, where he designs curricula to enhance self-efficacy and interest among novices. Estepp collaborates with industry partners to develop experiential learning programs and contributes to national discussions on diversity and inclusion within agricultural education organizations.

Abigail Phillipsمشاهده پروفایل

استادیار

• Neurodiversity
• Disability Studies
• Accessibility in Libraries
• +۵ مورد دیگر

Abigail Phillips is an Assistant Professor at the University of Wisconsin-Milwaukee's School of Information Studies. She holds a PhD in Information Studies from Florida State University, with a focus on leadership and management, and a Specialist degree in Library and Information Studies. Her research explores neurodiversity, disability inclusion in libraries, makerspaces, cyberbullying, and empathetic library practices. She advocates for libraries as vital public spaces, particularly in rural and underserved communities. Phillips has taught courses such as Foundations of Library and Information Science, Trauma-Informed Librarianship, and Critical Librarianship. Education: PhD in Information Studies, Florida State University (2016) Specialist in Library and Information Studies (2014) MS in Library and Information Studies (2008), focusing on children/youth services BA in Anthropology, University of Georgia (2006) Her research interests emphasize libraries' role in fostering empathy, accessibility, and equity, with a focus on youth and neurodivergent populations. Recent work addresses mental health in online learning environments, inclusive makerspaces, and LIS education reforms. Phillips has collaborated on projects such as the #ProtectLibraryWorkers movement and participatory design of library programs. Her publications highlight themes like disability inclusion in LIS frameworks, cyberbullying prevention, and trauma-informed practices. Phillips actively bridges academic research with practical library services, emphasizing community-driven solutions.

Penny Diebelمشاهده پروفایل

دانشیار

• Agricultural and Food Policy
• Agricultural Conservation Policy
• Natural Resource Economics
• +۳ مورد دیگر

Penny Diebel is an Associate Professor in the Department of Applied Economics at Oregon State University (OSU), affiliated with the College of Agricultural Sciences. She teaches agricultural and food policy while conducting research on conservation policy, no-till/direct seed adoption, and pedagogical methods. After serving as Assistant Dean of Academic Programs from 2013–2020, she returned to her faculty role in 2020, maintaining a commitment to student mentorship and curriculum innovation. Education : PhD in Agricultural Economics from Virginia Tech (1990); MS and BS from Colorado State University in Agricultural and Resource Economics and Outdoor Recreation Management, respectively. Her research focuses on agricultural conservation policy, student retention in STEM, and diversity in agricultural education. She has published extensively on these topics, emphasizing the recruitment and support of underrepresented minority students. Her work also addresses environmental economics, sustainable farming, and the integration of technology in education. Key trends in her recent publications include student retention strategies, equity in STEM, and climate change adaptation in agriculture. She has contributed to journals like NACTA Journal , Journal of Agribusiness , and Frontiers in Ecology and Evolution , with subfields spanning soil conservation, learning outcomes assessment, and ethical frameworks in agricultural education. Scientific Awards : Lead21 Leadership Program participant; multiple teaching awards including the Wade Excellence in Teaching Award (2002), Western Agricultural Economics Association Undergraduate Teaching Award (2000), and inclusion in the Registry of Distinguished Teachers (1999). Grants & Projects : Coordinated AFBM Internships and research projects, including STEEP (Solutions to Environmental and Economic Problems) and studies on soil conservation in the Palouse region. Labs/Teams : Collaborates with interdisciplinary teams at OSU and University of Idaho on agricultural policy and conservation research.

• Leadership
• Organizational Culture
• Job Attitudes
• +۹ مورد دیگر

Gary J. Greguras is a Professor of Organisational Behaviour & Human Resources at Singapore Management University's Lee Kong Chian School of Business, where he has held continuous faculty appointments since 2003, achieving full Professorship in 2014. He previously served as Area Coordinator for Organisational Behaviour & Human Resources (2008-2011) and maintains active research and teaching roles across undergraduate and postgraduate programs. His academic credentials include: Ph.D. in Industrial/Organisational Psychology, Bowling Green State University (1998) M.A. in Industrial/Organisational Psychology, Bowling Green State University (1996) B.A., University of Nebraska-Lincoln (1991) Professor Greguras's research critically examines leadership humility , emotional dynamics in organizations , and cross-cultural value interactions , with significant contributions to understanding how leader authenticity shapes follower vulnerability and how power distance manifests across cultural contexts. His work integrates self-determination theory with organizational behavior frameworks to explore person-environment fit and employee well-being, frequently employing advanced quantitative methods in multinational settings. Analysis of his 2008-2023 publications reveals an evolving focus from foundational work on job attitudes and performance to contemporary investigations of humility-driven leadership, with consistent emphasis on emotional labor and cultural contingencies. These studies appear predominantly in top-tier outlets like Journal of Applied Psychology and Organizational Behavior and Human Decision Processes , demonstrating methodological rigor and theoretical innovation in organizational science. His scholarly impact is recognized through: Lee Kong Chian Research Fellowship (2017-2018) Multiple Dean's Teaching Honour List distinctions across undergraduate and postgraduate programs (2006, 2014-2015, 2016-2017, 2020-2021) Semi-finalist for SIOP's Owens Scholarly Achievement Award (2005) Exemplary Institutional Review Board Award (2015) While specific student mentorship details aren't documented in the source material, his sustained research productivity—including collaborative work with international scholars across 20+ publications since 2015—indicates active graduate supervision and grant-funded research. His role as Area Coordinator further demonstrates departmental leadership in curriculum development and academic governance. No dedicated laboratory or formal research team structure is referenced in the available profile, though his multi-institutional collaborations suggest participation in distributed research networks focused on organizational behavior and cross-cultural management.

Leon Liegelمشاهده پروفایل

استاد

• Soil Science
• Forest Health
• Tropical Forestry
• +۶ مورد دیگر

Leon Liegel is Courtesy Faculty in the Department of Forest Ecosystems & Society, College of Forestry , Oregon State University , where he teaches and conducts research focused on soil science, tropical forestry, and sustainable natural-resource management. Off-campus by appointment, he remains actively engaged through distance education and collaborative research networks. Education B.S. Forestry, University of Wisconsin–Stevens Point, 1970 M.S. World Forestry, State University of New York College of Environmental Science and Forestry, Syracuse, 1973 Ph.D. Forestry/Soil Science Co-Majors, North Carolina State University, Raleigh, 1981 Research & Teaching Interests Liegel’s scholarship integrates the soil-plant-atmosphere continuum with social-science dimensions of natural-resource policy. His work spans: Soil–site relationships for fast-growing exotic and native tropical tree species Forest-health monitoring and disturbance ecology Non-timber forest products (especially mushrooms) and their socioeconomic valuation Interdisciplinary methods merging biological, sociocultural, and managerial sciences Design of effective scientific posters for diverse audiences These themes are delivered to graduate students worldwide through OSU Ecampus, emphasizing sustainable resource management across temperate and tropical ecosystems. Publication Patterns Across more than four decades, Liegel’s publications reveal sustained emphasis on forest productivity , soil-site interactions , and socio-ecological dimensions of forest use . Early work quantified growth of Caribbean pines in Puerto Rican trials and hurricane impacts, while later studies expanded into non-timber forest products, integrative monitoring protocols, and science-communication tools. The corpus reflects increasing interdisciplinarity, moving from silvicultural experiments to coupled human–natural-system analyses. Awards & Honors No specific awards, fellowships, or medals are listed in the provided materials. Teaching, Grants & Student Mentoring Liegel co-developed and teaches the graduate online course SOIL 511 Soil: A Natural and Societal Resource (offered Winters 2019–2020, Summer 2021) and previously co-taught SNR 533 Nontimber Forest Products within the Sustainable Natural Resources Graduate Certificate Program (2007–2016). While no individual graduate advisees are named, his courses reach a global audience of natural-resource professionals. Laboratories & Collaborative Networks Though physically off-campus, Liegel collaborates closely with faculty in OSU’s Crop and Soil Science Department and with colleagues at North Carolina State University’s Crop and Soil Sciences Department. Joint course development and long-term research projects in Puerto Rico, California, and the Pacific Northwest constitute his distributed scholarly network.

• Optimization
• Big Data Analytics
• Complex Networks
• +۵ مورد دیگر

Foad Mahdavi Pajouh is an Associate Professor at the School of Business, Stevens Institute of Technology, where he holds the Jack Howe Fellowship. Previously, he served as an Assistant Professor at the University of Massachusetts Boston (2014–2021) and a Research Assistant Professor at the University of Florida (2012–2014). He earned his PhD in Industrial Engineering from Oklahoma State University (2012), and earlier degrees from Tarbiat Modares University (MS, 2006) and Sharif University of Technology (BS, 2004). His research focuses on theoretical, computational, and algorithmic optimization, with applications in big data analytics of complex networks. Key areas include business analytics, social network analysis, financial network analysis, and cybersecurity. His work emphasizes clique relaxations, network interdiction, and resilient network design. Recent studies address influential group detection, risk-averse clustering, and robust infrastructure planning. Publications highlight contributions to clique detection algorithms, network resilience, and optimization models. Over 30 peer-reviewed articles appear in top journals like European Journal of Operational Research , INFORMS Journal on Computing , and Annals of Operations Research . His work bridges graph theory and real-world network challenges in finance, cybersecurity, and environmental systems. Notably absent are explicit mentions of awards or grants, though his prolific publication record and academic roles suggest significant professional recognition. No student advisees are listed in the provided information.

Colin Studdsمشاهده پروفایل

استادیار

• Animal Migration
• Biogeography
• Population Ecology
• +۳ مورد دیگر

Colin Studds is an Assistant Professor in the Department of Geography & Environmental Systems at the University of Maryland, Baltimore County (UMBC). He holds a Ph.D. from the University of Maryland, College Park (2009). His research focuses on animal migration, biogeography, and population ecology, with a particular emphasis on migratory birds and the impacts of environmental changes. Studds' work integrates field studies, stable isotope analysis, and geolocators to track migratory patterns. His research spans topics such as shorebird population declines on the East-Asian Australasian flyway, dragonfly migration phenology, and migratory connectivity of songbirds. He teaches courses in biogeography and physical geography at UMBC. His lab, the Studds Lab, investigates ecological processes regulating animal distributions and population dynamics, emphasizing species that migrate or undertake long-distance movements. Recent projects include studying climate and human impacts on bird communities and developing methods to improve migratory tracking accuracy. Studds has advised numerous projects but no formal student names are listed. He collaborates widely, with co-authors including prominent ecologists like Peter Marra and Bridget Stutchbury. His work has been published in journals such as Conservation Biology , Proceedings of the Royal Society B , and Ecology Letters .

Wang Fengjiaoمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Social Network Analysis
• +۳ مورد دیگر

Wang Fengjiao is an Assistant Professor and Lecturer at the Kahlert School of Computing, University of Utah. Her research focuses on machine learning, data mining, and social network analysis, with notable contributions to semi-supervised learning, generative models, and social media analysis. She holds a position in one of the founding institutions of the internet (ARPANET), leveraging computational advancements for interdisciplinary challenges. Her work spans theoretical innovations and applied systems, including algorithms for tabular data, image generation via Fréchet distance minimization, and probabilistic text recommendation models. Recent trends in her publications emphasize scalable learning frameworks, spatial-temporal event modeling, and privacy-preserving techniques in multi-platform social networks. Wang's research has addressed challenges such as user geolocation inference, collaborative co-clustering in heterogeneous data, and steering information diffusion under attention constraints. Her contributions to content-aware POI recommendations and distance-based social discovery further highlight her expertise in integrating machine learning with real-world social systems. No scientific awards or grants are explicitly mentioned in the provided materials. Contact information is available at fengjiao@cs.utah.edu, and her office is located in MEB 3102.

Hovhannes A. Harutyunyanمشاهده پروفایل

استاد

• Combinatorics of Networks
• Algorithmic Graph Theory
• Parallel and Distributed Algorithms
• +۳ مورد دیگر

Hovhannes A. Harutyunyan is a Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, Canada. His research focuses on network structure and communication efficiency, with expertise in combinatorics of networks, algorithmic graph theory, and parallel/distributed algorithms. He has supervised numerous graduate students, including Ph.D. candidates such as Narek Hovhannisyan and Saber Gholami. His work addresses information dissemination in networks, minimum broadcast graphs, and temporal graph problems. Research Interests: - Combinatorics of Networks - Algorithmic Graph Theory - Parallel and Distributed Algorithms - Temporal Graphs and Social Network Analysis - Network Diagnosis and Efficient Communication Protocols Teaching: Courses include Discrete Mathematics (COMP 232), Theoretical Computer Science (COMP 335), Combinatorics (COMP/MATH 339), Data Structures and Algorithms (COMP 352), and advanced topics like Parallel Algorithms (COMP 7241). Service: - Graduate Program Director (various terms) - Undergraduate Program Director (2016–2017) - Associate Professor (2004–2011)

Kim Wickmanمشاهده پروفایل

دانشیار

• Special Education
• Sport Sociology
• Disability Studies
• +۳ مورد دیگر

Kim Wickman is an Associate Professor in the Department of Education at Umeå University, affiliated with the Umeå School of Education. Their research focuses on identity constructions, power relations, and inclusion in sport and special education, particularly addressing ability, disability, gender, and equality. They coordinate interdisciplinary research collaborations for Special Education at the university and contribute to the DISLIFE project on disability and life courses. Key areas include policy analysis, inclusive pedagogy, and organizational change in sports federations. Awards include Docent and Distinguished University Teacher titles. Recent work explores AI's role in special education, remote consultation in rural schools, and parasport inclusion. Publications span academic journals and conferences, emphasizing equity in education and sport. Research Projects: DISLIFE (Liveable Disabilities), Swedish Floorball Federation inclusion studies Teaching: Special Education and Sports Pedagogy Publications highlight structural barriers in sports, policy implementation, and participatory methodologies. Awards reflect recognition for teaching excellence and scholarly contributions.

• Computational Social Science
• Data Science
• Multivariate Social Networks
• +۱۰ مورد دیگر

Termeh Shafie is a full-time Professor in the Department of Politics and Public Administration at the University of Konstanz, specializing in Computational Social Science and Data Science. With a strong statistical foundation, she develops advanced methodologies for analyzing multivariate social networks while bridging archaeological network reconstruction with modern data science techniques through projects like NEXUS 1492. Key Research Areas: Multigraph modeling, network entropy analysis, isotope geoprovenance, and hypergraph representations Projects: NEXUS 1492 archaeological network reconstruction Her 15 most recent publications demonstrate significant contributions to network methodology (random multigraph models, centrality index analysis), archaeological applications (Caribbean attack networks, Iroquoian settlement patterns), and data privacy frameworks. Articles span 2012–2025 with interdisciplinary focus on statistical sociology, archaeological theory, and computational modeling. Current teaching includes courses on social network analysis, data science, and statistical learning. Office hours available via ILIAS booking system. Contact details provided for both academic and administrative correspondence.

• Artificial Intelligence
• Bioinformatics
• Machine Learning
• +۷ مورد دیگر

Enrico Blanzieri is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science. His research focuses on artificial intelligence, bioinformatics, quantum computing, machine learning, and computational biology. He actively contributes to interdisciplinary projects such as Vitis OneGenE for gene network analysis and quantum machine learning pipelines. His teaching includes courses like Algorithms for Bioinformatics, Quantum Machine Learning, and Data Mining. Blanzieri's work bridges theoretical foundations and practical applications, with notable contributions in quantum annealing-based algorithms, gene network expansion using distributed computing, and socially-competent artificial agents. His research integrates computational methods with biological systems, addressing challenges in precision agriculture and systems biology. His recent publications emphasize quantum machine learning advancements, causal role attribution in gene networks, and ethical AI frameworks for language models. Collaborative projects include the GENE@HOME volunteer computing initiative for bioinformatics tasks. Blanzieri also engages in educational activities, supervising courses that blend theoretical computer science with real-world applications.