جست‌وجوی استاد و پژوهشگر

Douglas Nychkaمشاهده پروفایل

استاد

• Spatial Statistics
• Nonparametric Regression
• Computational Statistics
• +۵ مورد دیگر

Douglas Nychka is a Professor in the Department of Applied Mathematics and Statistics at Colorado School of Mines since 2018. He holds an emeritus position at the National Center for Atmospheric Research (NCAR), where he previously directed the Institute for Mathematics Applied to Geosciences (IMAGe) from 2004 to 2017. Nychka earned his PhD in Statistics from the University of Wisconsin-Madison and a BA in Mathematics (with Physics emphasis) from Duke University. His research focuses on spatial statistics, nonparametric regression, and computational methods for large datasets, particularly applied to environmental and geophysical problems. He has developed influential R packages like fields and LatticeKrig , which are widely used for spatial data analysis. Nychka received prestigious awards including the Jerry Sacks Award for Multidisciplinary Research (2004) and recognition as a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. His work bridges statistical theory, computational innovation, and real-world applications in climate science and renewable energy. His academic career includes 14 years as a faculty member at North Carolina State University and roles at the National Institute of Statistical Sciences. Nychka's research emphasizes spatial statistics for climate data, statistical downscaling, and uncertainty quantification, with contributions to solar radiation modeling and extreme event analysis. He actively engages in interdisciplinary projects, collaborating with experts in climatology, environmental science, and data science. Professional service includes roles on committees for the National Research Council and leadership in statistical societies. His teaching focuses on modernizing curricula to integrate data science with applied statistics. Nychka’s work is characterized by a commitment to open-source software and reproducible research, exemplified by his R package contributions.

Lucy Bastinمشاهده پروفایل

استاد

• Biodiversity Informatics
• Remote Sensing
• GIS (Geographic Information Systems)
• +۷ مورد دیگر

Lucy Bastin is a Professor in the School of Computer Science and Digital Technologies at Aston University, part of the College of Engineering and Physical Sciences. She holds academic roles since 2003, including leadership in the Digital Observatory for Protected Areas (DOPA) project at the European Commission. Her research focuses on biodiversity informatics, remote sensing, and citizen science, with applications in conservation planning and sustainable development. She advises PhD students on topics like GIS, remote sensing, and citizen observatories. Education: BSc Zoology (University of Nottingham), MSc GIS (University of Leicester), PhD in Spatial Population Ecology (University of Birmingham). She also holds a Postgraduate Certificate in Teaching and Learning in Higher Education. Research Interests: Essential Biodiversity Variables, metadata standards for citizen science, uncertainty in conservation models, disease mapping (e.g., MRSA), and environmental policy support. She developed the DOPA toolkit for protected area monitoring and co-authored the Bari Manifesto for biodiversity variables. Key Projects: DOPA Explorer 2.0, FLIERS EU project, EuroGEOSS initiatives Recent Awards: Midlands Women in Tech Finalist (2021), Best Paper Award (2018) Teaching: Software Engineering, Professional Ethics in Computing, GIS modules Labs/Teams: Part of the Computer Science Research Group and Aston Centre for Artificial Intelligence Research and Application. Collaborates with global partners on initiatives like BIOPAMA and the Green Deal Data Space.

Paul Cohenمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analysis
• Education Informatics
• +۴ مورد دیگر

Paul Cohen is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information (SCI), where he also directs the Modeling and Managing Complicated Systems Institute (MOMACS). Previously, he served as the founding Dean of SCI from 2017 to 2020. Before joining Pitt, he was a Program Manager at DARPA (2013–2017), leading initiatives like Big Mechanism and Communicating with Computers. Earlier roles include founding director of the University of Arizona’s School of Information: Science, Technology and Arts (SISTA), and professor at the University of Southern California’s Information Sciences Institute and the University of Massachusetts. Education: PhD in Computer Science and Psychology (Stanford University), MS in Psychology (UCLA), BS in Psychology (UC San Diego). Research Interests: Focuses on artificial intelligence, machine learning, natural language processing, and modeling complex systems like cell signaling pathways and socio-environmental interactions. His work emphasizes explainable AI, human-computer communication, and interdisciplinary problem-solving. Key Contributions: Authored Empirical Methods for Artificial Intelligence and over 200 peer-reviewed articles. His research spans robotics, education technology (e.g., the AnimalWatch tutoring system), and collaborative analysis tools like COLAB. He has won a Telly Award for his video on systemic challenges and a Best Paper award for spatial language learning frameworks. Awards & Recognition: Elected Fellow of the AAAI, recipient of the Telly Award, and winner of the Best Paper Award at the IEEE Conference on Development and Learning. Leadership & Outreach: Advocates for polymathy in education to address global challenges. His work includes developing curricula for complex systems thinking and promoting diversity in STEM through initiatives like AnimalWatch.

Dean McFarlinمشاهده پروفایل

استاد

• Cross-Cultural Management
• Organizational Justice
• Leadership
• +۳ مورد دیگر

Dean McFarlin serves as Dean and Professor of Management at the Palumbo-Donahue School of Business, Duquesne University. He has led the School since 2013, overseeing major initiatives including the renovation of Rockwell Hall, strategic planning, alumni engagement, and fundraising. His leadership includes launching the Duquesne New Venture Challenge and establishing eight centers of excellence for applied research and education. Education: Ph.D., Social/Organizational Psychology (SUNY-Buffalo); B.A., Psychology (Marquette University). Prior roles include Chair of Management and Marketing at the University of Dayton and professorships at Marquette University. Research focuses on cross-cultural management, organizational justice, leadership, and executive influence. Over 100 publications and conference presentations highlight contributions to global leadership, entrepreneurship, and intercultural dynamics. Key works include International Organizational Behavior and International Management: Strategic Opportunities and Cultural Challenges . Leadership initiatives include the Executive-in-Residence Program and diverse faculty recruitment. His work emphasizes bridging theory and practice, with centers supporting innovation in investment strategy, professional selling, and applied research.

Melissa Rogersمشاهده پروفایل

استاد

• Comparative Politics
• Political Economy
• Economic Inequality
• +۶ مورد دیگر

Melissa Rogers is a Professor of Political Science and Co-Director of the Inequality and Policy Research Center at Claremont Graduate University (CGU). She holds academic leadership roles, including former Associate Dean of the School of Social Science, Policy, and Evaluation (2019–2022). Rogers earned her PhD and MA from the University of California, San Diego, and a BA from Brown University. Her research focuses on the political economy of inequality, Native American voting rights, and spatial disparities. Key areas include territorial inequality's impact on policymaking, fiscal capacity, and voting access barriers for Native Americans. She co-authored Geography, Capacity, and Inequality I & II (Cambridge, 2022/2025) and has published in top journals like Journal of Politics and Political Analysis . Rogers’ recent work addresses voting rights, structural racism, and postal service inequities affecting Native American communities. She has secured grants totaling over $200,000, including funding from the Haynes Foundation and Fletcher Jones Foundation. Her advising spans academic, public-sector, and private-sector placements. Notable students include faculty at Pitzer College, Cairo University, and Towson University. Rogers also chairs CGU’s Faculty Research Committee and serves on the American Political Science Association (APSA) Council. Leadership roles include directing CGU’s Inequality Lab and co-chairing the APSA Political Economy Best Book Award. Her interdisciplinary work bridges comparative politics, methodology, and policy analysis.

• Evolutionary ecology
• Quantitative ecology
• Meta-analysis
• +۵ مورد دیگر

Shinichi Nakagawa is a Professor of Evolutionary Ecology and Synthesis at the University of Alberta's Faculty of Science, Biological Sciences Department. He holds the Canada Excellence Research Chair in Open Science and Synthesis in Ecology and Evolution. His research focuses on quantifying biological variation through meta-analysis and synthesis, with a strong emphasis on open science practices. He leads a lab that explores topics in ecology, evolutionary biology, and environmental sciences, while also advancing meta-science to improve research transparency and reproducibility. Dr. Nakagawa earned his BSc(Hons) at the University of Waikato and PhD at the University of Sheffield. He previously held positions at the University of Otago (2008–2015) and the University of New South Wales (2015–2024). He is the founder of EcoEvoRxiv, a preprint server for ecology and evolution, and actively promotes open science through initiatives like the Society for Open, Reliable, Transparent Ecology and Evolutionary Biology (SORTEE). His research interests include quantitative ecology, statistical methodology for meta-analysis, and understanding biological variability. Key areas of focus include thermal physiology in ectotherms, sexual selection, and the impacts of climate change on biodiversity. He has authored influential papers on meta-analytic techniques, including location-scale models and variance-based analyses. Notable contributions include the development of the 'orchard plot' visualization tool for meta-analyses and advocacy for preregistration and open data practices. His work bridges ecological theory with data synthesis, emphasizing reproducibility and methodological rigor. Awards include the Canada Excellence Research Chair, recognizing his leadership in advancing open science and ecological synthesis.

Raja Jurdakمشاهده پروفایل

استاد

• Distributed Systems
• Blockchain Technology
• Network Modeling
• +۷ مورد دیگر

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

• Marketing
• Sustainability
• Technology in Business
• +۳ مورد دیگر

Carolina Luis Bassa is a Research Professor at the Universitat Pompeu Fabra Barcelona School of Management (UPF-BSM), serving as Academic Director and leading the Department of Business and Strategic Management. She directs multiple master’s programs and heads the Mercadona UPF-BSM Chair of Circular Economy. Her expertise spans Marketing, Sustainability, and Technology applied to business strategy, with a focus on digital transformation and circular economy practices in industries like agri-food distribution. Her academic journey includes roles as Vice-Dean of Teaching Staff and Academic Director, reflecting her commitment to educational innovation. Research interests emphasize sustainable consumer behavior, data-driven business models, and the integration of technology in CRM and customer experience management. Over 35 years, she has advised students and professionals on strategic applications of marketing and technology. Research Trends: Recent publications highlight circular economy adoption in agriculture, transparency in sharing economies, and data-driven strategies in customer-centric models. She bridges academic insights with industry challenges, particularly in leveraging technology for sustainable business practices. Awards & Grants: No specific awards are listed, but her leadership roles and chair position indicate significant institutional recognition. Grants and partnerships likely stem from her involvement with initiatives like the Mercadona Chair. Labs & Teams: Leads the Mercadona UPF-BSM Chair, focusing on circular economy research and collaboration with industry partners.

Kan Wuمشاهده پروفایل

دانشیار

• Data interpretation and forward modeling of distributed fiber optic strain sensing
• Hydraulic fracture modeling, monitoring, and optimization
• Subsurface monitoring of carbon storage and enhanced geothermal systems
• +۲ مورد دیگر

Kan Wu is an Associate Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University, part of the College of Engineering. He holds the Class of ’75 DVG Associate Professorship and is a Chancellor EDGES Fellow. His research focuses on advanced modeling techniques for subsurface systems, including data interpretation of fiber optic sensing, hydraulic fracture optimization, and carbon storage monitoring. He earned his Ph.D. from the University of Texas at Austin and degrees from China University of Petroleum (East). Education : Ph.D., Petroleum Engineering, University of Texas at Austin M.S., Petroleum Engineering, China University of Petroleum (East) B.S., Petroleum Engineering, China University of Petroleum (East) Research Highlights : Dr. Wu’s work bridges physics-based and data-driven approaches, addressing challenges in fracture propagation, subsurface monitoring, and multi-scale modeling. His team develops real-time data interpretation tools for distributed fiber optic measurements and investigates fracture interactions in unconventional reservoirs. Key Awards : 2024: Completions Optimization and Technology Award (SPE Gulf Coast) 2023: Best of Paper Award (URTEC) 2023: Karen E. Olson & Louis H. Turner Research Award Grants & Leadership : He leads the Advanced Geomechanics Fracture & Reservoir Application Consortium (AGFRAC), focusing on subsurface engineering systems. His Chevron Corporation Faculty Fellowship (2017–2022) supported collaborative industry research. Office: RICH 501Q.

Wenwen Liمشاهده پروفایل

استاد

• Geographic Information Science
• Cyberinfrastructure
• Big Data
• +۸ مورد دیگر

Wenwen Li is a Professor at Arizona State University (ASU), holding roles as Director of the CyberInfrastructure and Computation Intelligence (CICI) Lab and Research Director at the Spatial Analysis Research Center (SPARC). She specializes in geographic information science, cyberinfrastructure, and geospatial big data. Her work focuses on developing intelligent cyberinfrastructure for environmental and urban studies, leveraging AI and semantic technologies. Li's research has been supported by NSF, USGS, and Google.org, among others. Education: Ph.D. in Earth System and Geoinformation Science (George Mason University, 2010), M.S. in Signal and Information Processing (Chinese Academy of Sciences, 2007), and B.S. in Computer Science (Beijing Normal University, 2004). Research Interests : Cyberinfrastructure, spatial-temporal data mining, semantic interoperability, GeoAI applications in climate science, and urban studies. Her lab, CICI, pioneers projects like the Arctic Permafrost Thaw analysis and disaster response systems. Awards : 2023 AAG and UCGIS Fellowships, 2021 NSF Mid-Career Award, 2015 NSF CAREER Award, and the 2024 Greg Leptoukh Lecture Award (AGU). She chairs AAG's Cyberinfrastructure Specialty Group and serves on editorial boards of key journals. Grants & Service : Leads NSF-funded projects on GeoAI, climate modeling, and Arctic science. Active in AAG leadership roles and global initiatives like the Polar Cyberinfrastructure Portal. Recruits Ph.D. students in Geography and Computer Science. Labs & Teams : Directs the CICI Lab, advancing interdisciplinary GeoAI research and training. Collaborates with global partners on environmental and computational geography projects.

Stephen G. Brooksمشاهده پروفایل

استاد

• International Security
• U.S. Foreign Policy
• Interaction of Economics and Security
• +۱ مورد دیگر

Stephen G. Brooks is a Professor of Government at Dartmouth College, affiliated with the John Sloan Dickey Center for International Understanding. His expertise spans International Security, U.S. Foreign Policy, and the interplay between economics and security. Brooks has held academic appointments since at least 1999, contributing extensively to policy-relevant research. Education: B.A. (Highest Honors, Phi Beta Kappa) from the University of California, Santa Cruz; M.A., M.Phil., and Ph.D. (with Distinction) from Yale University. His research emphasizes U.S. global strategy, economic power dynamics, and the resilience of American primacy. Notable books include World Out of Balance (2008) and Command of Commerce (2025), co-authored with Ben Vagle. His work frequently analyzes how economic interdependence shapes security outcomes, with a focus on Sino-U.S. relations. Courses taught include International Politics and U.S. Security Policy. Brooks' articles address topics like European defense capabilities, multipolarity myths, and forest-linked livelihoods in globalization. His scholarship challenges assumptions about China's rise and advocates for sustained U.S. global engagement. Active in peer review for journals like International Organization , he also contributes to policy discussions on forest governance and land rights in developing nations.

Jonathan Pakianathanمشاهده پروفایل

استاد

• Algebraic Topology
• Cohomology of Groups
• Lie Algebras
• +۳ مورد دیگر

Jonathan Pakianathan is a Professor of Mathematics at the University of Rochester's School of Arts & Sciences, Department of Mathematics. He holds a PhD from Princeton University (1997) and a BS in Mathematics and Physics from Caltech (1992). His research focuses on algebraic topology, cohomology of groups and Lie algebras, geometric combinatorics, and finite fields. He has held leadership roles, including Director of Graduate Studies (2014–2020) and Director of Undergraduate Studies (2003–2010). Notable awards include the Goergen Award for Excellence in Teaching (2014) and the Sloan Foundation Doctoral Dissertation Fellowship (1996). His research explores applications of topology and algebra in discrete geometry, often collaborating with Alex Iosevich and students. Recent work addresses topics like Fuglede's conjecture over finite fields, geometric configurations, and probabilistic methods in combinatorics. His articles frequently intersect harmonic analysis, group theory, and number theory, reflecting interdisciplinary strengths. Education : PhD, Princeton University, 1997 BS in Mathematics and Physics, Caltech, 1992 Awards : Goergen Award for Excellence in Undergraduate Teaching, 2014 Sloan Foundation Doctoral Dissertation Fellowship, 1996 H. J. Ryser Scholarship, 1991 Grants include an NSA Mathematical Sciences Grant (2016–2017, $110,000 total) with A. Iosevich. He advises numerous PhD students, many of whom now hold academic or research positions. His teaching spans undergraduate to graduate courses, including algebra, topology, and financial mathematics. Research groups and collaborations extend to geometric combinatorics, algebraic topology, and applications in physics and data science. Ongoing projects explore topological methods in discrete geometry and probabilistic structures over finite fields.

Francesco Bulloمشاهده پروفایل

استاد

• Control Theory
• Network Systems
• Distributed Control
• +۵ مورد دیگر

Francesco Bullo is a Distinguished Professor of Mechanical Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. He holds joint appointments in Electrical and Computer Engineering, Computer Science, and the Center for Control, Dynamical Systems, and Computation. His research focuses on distributed control, network systems, and neural networks, with notable contributions to contraction theory and social dynamics analysis. Education: Laurea (1994, University of Padova), PhD (1998, Caltech). Leadership roles: Former IEEE CSS President, SIAG CST Chair. Research interests include biological/artificial neural networks, distributed control of robotic networks, and synchronization in power grids. He authored books like Lectures on Network Systems and Contraction Theory for Dynamical Systems . His work spans 300+ publications, including impactful articles on Hopfield networks, power grid stability, and optimization. Awards include IEEE Fellow, ASME Fellow, and SIAM Fellow. Advising and grants: Mentored over 30 PhD students and led major projects like the NSF MURI on team behavior modeling. Current research includes neural synchronization and AI-driven control. Labs/teams: Directs the UCSB Center for Control, Dynamical Systems, and Computation, and collaborates on interdisciplinary initiatives like the Network Science for Medicine white paper.

Rocco Servedioمشاهده پروفایل

استاد

• Computational Complexity Theory
• Computational Learning Theory
• Property Testing
• +۳ مورد دیگر

Rocco Servedio is a Professor in the Department of Computer Science at Columbia University, where he leads research in theoretical computer science with a focus on computational complexity theory, learning theory, and the role of randomness in computation. He previously served as Chair of the Computer Science Department from 2018 to 2021. He holds a Ph.D., MS, and AB in Mathematics from Harvard University. His research interests include property testing, computational learning theory, and algorithmic lower bounds. He has contributed to foundational work in areas like junta testing, trace reconstruction, and convexity testing. Servedio has held leadership roles in major conferences such as STOC, CCC, and COLT, and has mentored students through courses like Unconditional Lower Bounds and Derandomization . Education: Ph.D. in Computer Science, Harvard University MS in Computer Science, Harvard University AB in Mathematics, Harvard University His research bridges theoretical computer science and applied mathematics, with recent work exploring the intersection of Gaussian processes, convex geometry, and algorithmic efficiency. Servedio's contributions to the field are exemplified through his involvement in high-impact conferences and his leadership in advancing fundamental computational theories.

• Civil Law
• Succession Law
• Family Law
• +۱۰ مورد دیگر

Maria Elena Cobas Cobiella is an Associate Professor in the Department of Civil Law at the Faculty of Law, University of Valencia. Her academic work is deeply rooted in civil and private law, with significant contributions to inheritance, family, mediation, and European private law. She is an active member of two research groups: the GPF Research Group on Person and Family and the GEDPED Study Group on European Private and Digital Law. Research Interests: Her research spans civil law, succession law, bio-law, legal mediation, reproductive rights, and legal education. She has explored the legal implications of posthumous reproduction, European succession instruments, Cuban property law, and innovative teaching methods such as concept mapping and cooperative learning in legal education. Her work often bridges doctrinal analysis with practical and ethical considerations. The trends in her scholarly publications from 2001 to 2017 reflect a sustained focus on succession law and legal modernization, with increasing attention to European harmonization, digital law, and interdisciplinary issues in bio-law. Her articles also reveal a strong commitment to pedagogical innovation and comparative legal analysis, particularly between Spanish and U.S. legal systems. Scientific Contributions: PhD from the University of Valencia (2001) on testamentary executorship. Active researcher in European private and digital law. Prolific author on mediation, inheritance, and legal education. Advising and Grants: While no specific grants are listed, she has supervised PhD research, as evidenced by her role as advisor to Dr. Lorenzo Prats Albentosa’s thesis. She actively contributes to academic discourse through publications and research group leadership. Her work in legal education suggests involvement in curriculum development and pedagogical projects. Labs and Teams: She collaborates with the GPF Research Group on Person and Family and the GEDPED Study Group on European Private and Digital Law, indicating active participation in team-based legal research focused on contemporary civil law challenges.