جست‌وجوی استاد و پژوهشگر

Konstantin (Kostia) M. Zuevمشاهده پروفایل

استاد آموزشی

• Network Science
• Applied Probability
• Computational Statistics
• +۴ مورد دیگر

Dr. Konstantin (Kostia) M. Zuev serves as Teaching Professor in the Computing + Mathematical Sciences Department at California Institute of Technology , where he has made significant contributions to network science and computational statistics since 2016. His dual PhDs in Mathematics (Moscow State University, 2008) and Civil Engineering (HKUST, 2009) underpin his interdisciplinary research spanning differential geometry, stochastic simulation, and network dynamics. Education PhD in Mathematics, Lomonosov Moscow State University (2008) PhD in Civil Engineering, Hong Kong University of Science & Technology (2009) His research focuses on network science , particularly course-prerequisite networks and complex financial systems , with recent work extending to network navigability in cosmological models and rare event simulation. Over his career, he has developed innovative Bayesian inference methods and geometric preferential attachment theories while maintaining active collaborations across mathematics, physics, and biomedical domains. Recent publications highlight network analysis in education ( 2023 ), hyperbolic graph theory ( 2024 ), and pandemic-informed cancer mortality studies ( 2023 ). His 15 most recent articles demonstrate methodological innovations across disciplines including statistics, physics, finance, and cosmology. Scientific recognition includes Humboldt Research Fellowship (2021) Carver Mead Seed Fund Grant (2023) ASCIT Teaching Award (2018, 2023) Northrop Grumman Teaching Excellence Prize (2019) As Graduate Option Representative for Information and Data Sciences at Caltech and faculty advisor for multiple student organizations including the Caltech Karate Club and Caltech Chess Club , he actively bridges academic rigor with community engagement through outreach initiatives like the virtual math education channel and university math circles for K-12 students.

Christina Lee Yuمشاهده پروفایل

استادیار

• Algorithm Design and Analysis
• High Dimensional Statistics
• Inference over Networks
• +۵ مورد دیگر

Christina Lee Yu is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering (ORIE). She holds a PhD and MS in Electrical Engineering and Computer Science from MIT (2017, 2013) and a BS in Computer Science from Caltech (2011). Her research focuses on algorithm design, high-dimensional statistics, causal inference in networks, and reinforcement learning. She is also an Amazon Scholar and has received prestigious awards, including the NSF CAREER Award and Intel Rising Stars Award. Her work is supported by grants from the NSF and Air Force Office of Scientific Research. Education: PhD in EECS, MIT (2017) MS in EECS, MIT (2013) BS in Computer Science, Caltech (2011) Research Interests: Algorithm design and analysis Inference over networks and causal inference Sequential decision making under uncertainty Online learning and reinforcement learning High-dimensional statistics Awards and Honors: NSF CAREER Award (2024) ACM SIGMETRICS Rising Stars Award (2024) Intel® Rising Stars Award (2021) JPMorgan Faculty Research Award (2021) Simons Institute Research Fellow (2020) INFORMS Dantzig Dissertation Award Honorable Mention (2018) Grants and Funding: National Science Foundation (NSF) CAREER Grant Air Force Office of Scientific Research Grant Advising: PhD Students: Sean Sinclair, Tyler Sam, Xumei Xi Collaborators: Mayleen Cortez, Matthew Eichhorn Labs and Collaborations: Member of ORIE, Statistics, CAM, and CS graduate fields at Cornell Amazon Visiting Academic in Fulfillment Optimization (2025)

Stephen Weymouthمشاهده پروفایل

دانشیار

• International Political Economy
• Globalization
• Digital Governance
• +۶ مورد دیگر

Stephen Weymouth is Provost's Distinguished Associate Professor and Dean’s Professor at Georgetown University’s McDonough School of Business. He holds a primary academic appointment as Associate Professor and focuses on the political economy of globalization and technological change. His research bridges international business, political science, and public policy. Weymouth earned his Ph.D. in Political Science and International Affairs from the University of California, San Diego (2010), an M.A. in Latin American Studies from the same institution (2006), and a B.S. in Economics from Arizona State University (1999). His research interests include the political environment of business, digital globalization, trade and exchange rate politics, governance of the digital economy, and the societal implications of artificial intelligence. He investigates how globalization, technological disruption, and economic change influence political behavior, voting, and policy outcomes. His work often employs quantitative methods and large-scale data to analyze firm-level and electoral dynamics. His recent publications, appearing in top journals like American Political Science Review , International Organization , and British Journal of Political Science , reveal a strong thematic focus on the intersection of economic globalization and political behavior. Trends include the impact of deindustrialization on voter backlash, the effects of inflation and pandemics on elections, and the political economy of digital trade and AI. His book Digital Globalization: Politics, Policy, and a Governance Paradox (Cambridge University Press) synthesizes these themes, emphasizing the growing tension between digital innovation and regulatory governance. Weymouth is actively engaged in policy discourse, having authored issue briefs for the Atlantic Council on digital trade policies in India and Bangladesh. He teaches core MBA courses such as Business and Policy in the Global Economy and specialized courses on AI and economic transformation. While no formal awards are listed, his named professorships reflect institutional recognition. He advises students and collaborates widely, though specific advisees are not named. His research contributes significantly to understanding how global economic forces shape political institutions and public sentiment.

Ulrik Brandesمشاهده پروفایل

استاد

• Social Network Analysis
• Graph Theory
• Network Science
• +۳ مورد دیگر

Ulrik Brandes serves as Full Professor and Head of the Department of Humanities, Social and Political Sciences at ETH Zurich, holding the Professorship for Social Networks. He actively teaches courses including Network Analysis and Applied Network Science: Sports Networks for Fall semester 2025, with office location at WEP J 14, Weinbergstr. 109, Zurich. His research spans Social Network Analysis, Graph Theory, and Network Science, with significant applications in sociology, sports analytics (particularly soccer and Australian Football League), and archaeological networks. As a longstanding member of the International Network for Social Network Analysis (since 2001) and the Academy of Sociology (since 2017), he bridges theoretical graph algorithms with practical interdisciplinary applications, recently expanding into sports analytics through the Football Scouting Association (2023). Analysis of his recent publications reveals strong thematic continuity in network centrality, temporal dynamics, and robustness, with increasing application diversity across sports analytics, archaeological trade networks, and decentralized social media platforms. His work consistently emphasizes efficient computational methods for real-world network problems. Honors: Simmel Award (2024) Prof. Brandes maintains active research leadership through departmental oversight and course development, though specific grant details and student advisement records are not publicly documented in available sources. His departmental role indicates substantial administrative responsibilities alongside research and teaching commitments.

Igor Jankovicمشاهده پروفایل

دانشیار

• Groundwater Hydrology
• Environmental Engineering
• Contaminant Transport
• +۲ مورد دیگر

Igor Jankovic is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on groundwater flow and contaminant transport in heterogeneous aquifers, with particular emphasis on the impact of aquifer heterogeneity on solute movement and transport modeling. Education: PhD in Civil Engineering, University of Minnesota (1997) MS in Civil Engineering, University of Minnesota (1993) BS in Civil Engineering, University of Split, Croatia (1990) His work addresses critical issues in groundwater hydrology including: Advective transport mechanisms in heterogeneous media Breakthrough curve prediction and analysis Effective hydraulic conductivity modeling Upscaling of flow and transport parameters Application of the Analytic Element Method (AEM) for complex aquifer simulations Comparison of transport models (CTRW, MRMT) in heterogeneous environments Research trends in his publications reveal a focus on: Three-dimensional heterogeneous aquifer modeling Non-Fickian and anomalous transport behavior Impact of spatial variability on contaminant migration Development of numerical algorithms for large-scale groundwater simulations Validation of stochastic transport theories against field experiments (e.g., MADE and Borden aquifers) Interaction between physical and chemical heterogeneity in reactive transport

Fariba Karimiمشاهده پروفایل

استاد

• Algorithmic Fairness
• Computational Social Science
• Network Science
• +۷ مورد دیگر

Fariba Karimi is a Professor of Social Data Science at Graz University of Technology and leads the Algorithmic Fairness research group at the Complexity Science Hub (CSH) in Vienna. Her work sits at the intersection of computational social science, network science, and AI ethics, with a strong focus on fairness, inequality, and bias in algorithmic systems. She holds a PhD in Physics and Computational Science from Umeå University, Sweden (2015), and was a Postdoctoral Researcher at GESIS – Leibniz Institute for Social Sciences, Germany. Her research combines large-scale data analysis, agent-based modeling, and network science to study how social structures and algorithms interact to shape disparities, particularly for underrepresented groups. Computational Social Science Algorithmic Fairness and Bias Network Science and Homophily Digital Humanism Urban Inequality and Implicit Bias Gender and Age Equity in Academia Her recent publications reveal a consistent focus on understanding and mitigating algorithmic and structural inequities. Themes include the visibility of minorities in networks, the impact of segregation on health and cognition, gender citation gaps in physics, and the development of fair ranking and recommendation systems. She employs interdisciplinary methods to analyze both digital and real-world social systems. Fariba Karimi has received several prestigious recognitions, including: Young Scientist Award from the German Physical Society (2023) ERC Starting Grant (2024) Nomination for the Hedy Lamarr Award (2021) She leads the 'Humanized Algorithms' project at CSH, funded by the ERC, and co-leads an EU Horizon project (MAMMOth) on multi-criteria fairness in AI. She advises PhD researchers such as Lisette Espín-Noboa and collaborates with institutions like the University of Mannheim and the Centre for Social Sciences. Her work contributes to both academic knowledge and practical solutions for fairer AI systems and more equitable societies.

Stefan Julichمشاهده پروفایل

استاد

• Soil physics and soil hydrology
• Influence of land use on soil hydraulic properties
• Dynamics of material and water cycles in soils and landscapes
• +۵ مورد دیگر

Stefan Julich is a Professor of Landscape Studies at Eberswalde University for Sustainable Development, where he has held a professorship since 2022. He is affiliated with the Faculty of Landscape Management and Nature Conservation, contributing to both teaching and research activities. His academic career spans multiple prestigious institutions across Europe, including TU Dresden, Justus-Liebig University Giessen, and the Potsdam Institute for Climate Impact Research. Dr. Julich earned his Diploma in Geography with minors in Geology and Soil Science from Martin-Luther University Halle-Wittenberg (1998-2004), followed by a Dr. rer. nat. (magna cum laude) from Justus-Liebig University Giessen in 2010. His dissertation focused on uncertainties in modeling water and nitrogen cycles in micro- and mesoscale river catchments. His research primarily investigates soil physics and hydrology, with particular emphasis on the influence of land use on soil hydraulic properties, dynamics of water and material cycles in landscapes, and ecosystem services of soils. He employs advanced modeling techniques to simulate water and material flows from soil to landscape scales and develops innovative monitoring concepts and laboratory methods for environmental assessment. Analysis of his recent publications reveals a strong focus on tropical and temperate hydrology, with particular attention to land use change impacts, soil erosion processes, and water resource management in data-scarce regions. His work often bridges theoretical modeling with practical applications in environmental management, particularly in African and European contexts. Professor Julich actively contributes to long-term environmental observation systems, notably the Ecosystemic Environmental Observation (ÖUB) in Brandenburg's biosphere reserves, which monitors 136 sites across various ecosystem types. His research integrates abiotic (soil and water) and biotic (vegetation and fauna) components in comprehensive ecosystem assessments. He teaches courses in soil science, hydrology, and soil-water science within the Bachelor's programs in Landscape Use and Nature Conservation and Organic Agriculture and Marketing. His research projects focus on long-term ecosystem monitoring in biosphere reserves, examining how regional ecosystems evolve under changing environmental conditions.

Mine Doganمشاهده پروفایل

استادیار

• Environmental Geophysics
• Groundwater Modeling
• Stochastic Hydrology
• +۳ مورد دیگر

Dr. Mine Dogan serves as Assistant Professor of Environmental Geophysics in the Department of Geological and Environmental Sciences at Western Michigan University, with her office located in 1121 Rood Hall (Kalamazoo, MI). She holds a Ph.D. from Michigan State University (2013) and previously held research positions at Clemson University's Department of Environmental Engineering and Earth Sciences. Education: Ph.D., Michigan State University, 2013 Her research integrates geophysics, hydrology, and environmental engineering to investigate subsurface processes using advanced methodologies including drone-based electromagnetic surveys, time-lapse monitoring, and 4D X-ray computed tomography. Key focus areas include tree root hydrology, contaminant transport in groundwater, permafrost characterization, and macropore flow dynamics in heterogeneous soils. Analysis of her recent publications (2018-2024) reveals strong emphasis on unmanned aerial systems for geophysical data acquisition, visualization of fluid transport mechanisms in porous media, and forensic/environmental applications of electromagnetic methods. Recurring themes include the role of biological structures in hydrological processes and innovative approaches to subsurface imaging. Scientific Awards: No awards documented in source material While her advising activities and grant funding remain unspecified in available information, her publication record demonstrates active collaboration across geophysics, hydrology, and environmental engineering disciplines. Laboratory facilities and research team structures are not detailed in the provided texts.

Laura Toranمشاهده پروفایل

استاد

• Hydrogeology
• Urban Hydrology
• Karst Hydrology
• +۴ مورد دیگر

Dr. Laura Toran is a Professor in the Department of Earth and Environmental Science at Temple University, part of the College of Science and Technology. Her research focuses on urban hydrology, karst hydrology, and groundwater-surface water interactions. She has held the Weeks Chair in Environmental Geology since 1997 and served as Executive Editor of Groundwater (2021–2023). Her work includes over $20 million in grants from NSF, the William Penn Foundation, and others. Education: Ph.D. Geology, University of Wisconsin–Madison (1986) B.A. Geology, Macalester College (1980) Research Interests: Urban stream health, stormwater control measures, karst spring dynamics, hydrogeophysics, and fractured rock modeling. Her interdisciplinary approach integrates field monitoring, modeling, and geochemical analysis to address environmental challenges in urban and natural systems. Recent Articles: Focus on urban runoff modeling, stormwater infrastructure efficacy, karst flow path analysis, and critical zone processes. Highlights include studies on nitrogen cycling in basins and temperature dynamics in urban streams. Awards: Fellow, Geological Society of America (2005) Deans Distinguished Research Award (2018) High Value Research Award (AASHTO, 2018) Advising & Grants: Mentored over 40 undergraduates and numerous graduate students. Current projects include the Delaware River Watershed Initiative and Urban Critical Zone studies. Collaborates with institutions like Villanova University and the U.S. Geological Survey.

Antonio Alves Meira Netoمشاهده پروفایل

استادیار

• Hydrology
• Water Engineering
• Catchment-scale Hydrologic Theory
• +۶ مورد دیگر

Antonio Alves Meira Neto is an Assistant Professor in the Department of Civil and Environmental Engineering at Colorado State University. His research focuses on hydrologic processes across spatial and temporal scales, integrating field observations, modeling, and remote sensing. He leads the Hydrologic Processes Lab , established in 2024, which examines water movement in ecosystems, climate interactions, and human-water systems. Ph.D. (2019) - University of Arizona, Hydrology M.Sc. (2013) - University of São Paulo, Hydraulic and Sanitary Engineering B.Sc. (2011) - Federal University of Bahia, Civil Engineering His work employs hydrogeophysics, tracer experiments, and empirical analysis to study catchment-scale hydrology, ecohydrology, and socio-hydrology in arid regions. Recent publications highlight water security in Brazil, groundwater dynamics, and climate impacts on streamflow. Contact: ameira@colostate.edu

• Hydrogeology
• Groundwater Contamination
• Numerical Modeling
• +۴ مورد دیگر

Dr. Thomas Demmel is a Researcher at the Hydrogeology Department of RWTH Aachen University , where he has worked since 2006. He serves as Deputy Head of the Hydrogeology Teaching and Research Area and coordinates the "groundwater modelling" working group. Research Areas Geogenic and anthropogenic groundwater contamination Hydrogeological and numerical groundwater modeling Transport dynamics of contaminants (uranium, nitrate, heavy metals) Contaminant retention in aquifers Key Projects 2023-ongoing: Modeling water balance and Rhenania tailings pile 2017-2022: Remediation studies at Bergehalde Beythal 2016-2020: Preferential flow paths in loess soils 2012-2014: Uranium contamination in Southern Bavaria

Marten Brienenمشاهده پروفایل

دانشیار

• Weak Institutions and Political Instability
• Drug Trade in Latin America
• Energy Security
• +۱۲ مورد دیگر

Marten Brienen is an Associate Professor at Oklahoma State University, affiliated with OSU Global. His career spans multiple disciplines including Political Science, Global Studies, and Fire and Emergency Management Administration at R1 institutions. He is a historian of twentieth-century Latin America with interdisciplinary expertise shaped by diverse teaching experiences. PhD in Social and Political Sciences from University of Amsterdam (2011) Currently teaches Global Crisis Management, Complex Emergencies, and advanced research courses His research focuses on weak institutions and their consequences, such as: Drug trade dynamics in Bolivia, Peru, and Colombia Resource populism and energy security Communal violence and prison overpopulation Corruption and disaster response failures Article trends show evolving expertise from Latin American politics (2015-2019) to pandemic trade analysis (2022-2024) and synthetic opioid studies (2025). Scientific recognition includes: Hargis Fellowship (2023) Two Outstanding Research Awards (2017, 2018) He supervises graduate research and advises on academic integrity, while engaging in media outreach about Latin American political developments.

Nic Freemanمشاهده پروفایل

مدرس

• Probability
• Stochastic Processes
• Random Geometry
• +۳ مورد دیگر

Dr Nic Freeman is a Lecturer in Applied Probability and Programme Leader for Financial Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. He holds an academic position within the Department of Mathematics and is a member of the Probability research group. His research focuses on probability theory, stochastic processes, random geometry, fractals, and applications to population genetics and financial mathematics. Dr Freeman teaches courses such as MAS350 Measure and Probability, MAS352 Stochastic Processes and Finance, MAS451 Measure and Probability, and MAS452 Stochastic Processes and Finance. His work integrates theoretical probability with practical applications, including the study of preferential attachment models, coalescent processes, and spatial stochastic systems. He is affiliated with the Hicks Building, located in Room I20. Research interests span topics such as tightness criteria for random processes, Brownian web/net structures, and cluster dynamics in network models. His recent publications explore foundational aspects of stochastic processes and their convergence properties, contributing to both pure and applied probability theory. Dr Freeman collaborates within interdisciplinary teams and maintains an active research profile in mathematical probability.

Suryanarayana Sankagiriمشاهده پروفایل

پژوهشگر

• Discrete Choice Models
• Recommendation Systems
• Blockchain Security
• +۴ مورد دیگر

Suryanarayana Sankagiri is a postdoctoral researcher at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, affiliated with the Information and Network Dynamics (INDY1) group under Professor Matthias Grossglauser. Previously, he earned his Ph.D. in Electrical & Computer Engineering (2018-2022) from the University of Illinois at Urbana-Champaign , where he was supervised by Bruce Hajek and participated in the Coordinated Science Lab . He also holds an M.S. in Electrical & Computer Engineering from the University of Illinois (2016-2018) and a B.Tech. in Electrical Engineering from the Indian Institute of Technology Bombay (2012-2016). Education : Ph.D., Electrical & Computer Engineering, University of Illinois (2018-2022) M.S., Electrical & Computer Engineering, University of Illinois (2016-2018) B.Tech., Electrical Engineering, IIT Bombay (2012-2016) Suryanarayana's research focuses on discrete choice models and their application to recommendation systems , with a particular emphasis on learning from choice data and developing novel models for human decision-making. His broader interests include blockchain security under adverse network conditions, network dynamics , probabilistic modeling , and algorithm design . Recent work explores nonconvex matrix factorization and contextual dueling bandits for recommendation systems. His publications span theoretical and applied domains, including high-impact venues like ICML , Stochastic Systems , and IEEE Transactions on Networking . Themes include blockchain efficiency , hidden community detection in preferential attachment graphs, and temporal analysis of Indian classical music. Current projects involve refining recommendation systems through sparse comparison data and designing protocols for resilient blockchain networks. Scientific Awards : zkCapital Paper of the Week (2021) Rambus Fellowship (2021) Mavis Future Faculty Fellowship (2019) List of Teachers Ranked as Excellent (2019) Nomination for IIT Bombay Undergraduate Colloquium (2016) Best Poster Award, IIT Bombay Undergraduate Research Symposium (2013) Suryanarayana has advised no students listed in the provided materials. His work has been supported by fellowships such as the Mavis Future Faculty Fellowship and Rambus Fellowship . He contributes to the INDY1 group at EPFL, which investigates information and network dynamics through interdisciplinary approaches combining probability , network theory , and algorithmic design .

Mohamed Houssem Kasbaouiمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Multiphase Flows
• Particle-Laden Flows
• +۴ مورد دیگر

Mohamed Houssem Kasbaoui is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. His research focuses on Computational Fluid Dynamics and Multiphase Flow simulations, with expertise in particle-laden flows, immersed boundary methods, and high-fidelity numerical tools. PhD, Aerospace Engineering (Cornell University, 2017) MSc, Aerospace Engineering (Cornell University, 2015) MSc, Theoretical Physics (Université Paris-Sud, 2014) Diplôme d'Ingénieur (Ecole Centrale Paris, 2013) BSc, Theoretical Physics (Université Paris-Sud, 2011) His work spans particle-resolved DNS , turbulent flow modulation , and environmental applications like microplastic transport in riverbeds. He leads the Kasbaoui Research Group , developing open-source tools like LEAP for CFD simulations. Recent publications highlight expertise in: Vortex dynamics in dusty flows Drag reduction mechanisms Immersed boundary modeling Microplastic trapping in sediment Swirling flow simulations Scale-separated combustion modeling Awarded the 2021 ACS Petroleum Research Fund Doctoral Investigator Award , his group actively seeks students with skills in Applied Mathematics and Parallel Programming . Research spans NSF-funded projects on Environmental Microplastics and Planetary Dust Clouds .