جستجوی استاد راهنمای دانشگاهی

Alessia Antelmiمشاهده پروفایل

استادیار

• Complex networks
• Hypergraphs
• Hypergraph representation learning
• +۴ مورد دیگر

Alessia Antelmi is an Assistant Professor (RTD-A) in the Department of Computer Science at the University of Turin, where she contributes to the Parallel Computing Group. Her work bridges theoretical computer science with real-world applications in social and technological systems. Her educational background includes: Ph.D. in Computer Science with honors from the University of Salerno, focusing on diffusion phenomena modeling using high-order networks Her research centers on complex network structures and human behavior in digital environments: Develops hypergraph representation learning techniques for modeling complex relationships Investigates social influence diffusion and user behavior evolution in online networks Designs agent-based simulations for large-scale system analysis Creates tools for data literacy and knowledge graph education Her approach integrates mathematical modeling with computational experimentation to address challenges in social dynamics and information systems. Analysis of her 15 recent publications (2023-2025) reveals three dominant trends: hypergraph-based methods for complex data representation, large-scale analysis of online communities using agent-based models, and educational tools for data literacy. Her work increasingly incorporates LLMs for social network analysis while maintaining strong theoretical foundations in network science. Her scientific recognition includes: Best paper nominee at CSEDU 2023 for open data education research Best paper nominee at AsiaSim 2019 for Rust-based simulation frameworks She has secured competitive research funding: 55,200 DKK grant under the COCOONS project (2023) led by Prof. Luca Maria Aiello at IT University of Copenhagen Erasmus+ Traineeship grant (2018) to work with Prof. John Breslin at Galway's Data Science Institute Though no advisees are listed, her collaborative publications suggest active mentorship in computational research. She actively contributes to the Parallel Computing Group at the University of Turin, developing frameworks like SWH-Analytics for large-scale software analysis and HypergraphRepository for community-driven data curation.

Barbara Cutlerمشاهده پروفایل

دانشیار

• Computer Graphics
• Geometry Processing
• Visualization
• +۳ مورد دیگر

Barbara Cutler is an Associate Professor in the Computer Science Department at Rensselaer Polytechnic Institute (RPI), with an affiliation to EMPAC. She holds a Ph.D. and served as a Post-Doctoral Lecturer at MIT in Electrical Engineering and Computer Science, focusing on computer graphics and visualization within the CSAIL lab. Her research spans computer graphics, geometry processing, architectural design tools, and educational technology, particularly in autograding systems like Submitty and plagiarism detection (Lichen). She has contributed to open-source platforms, container-based grading solutions, and policies to reduce academic stress and misconduct. Education Background: Ph.D. and Postdoc at MIT (EECS). Research Interests: Combining computational techniques with real-world applications in architecture, visualization, and education. Key areas include erosion modeling, tangible user interfaces, and collaborative infrastructure restoration simulations. Her work bridges theory and practice through tools like Submitty for scalable programming assignment evaluation. Grants & Projects: Developed Submitty, a widely used autograding platform. Authored over 50 publications on autograding systems, plagiarism detection, and computer graphics. Collaborated across institutions on H/FOSS curriculum integration and late-day policy studies. Labs & Teams: Affiliated with RPI’s Computer Science Department and EMPAC. Active in the Submitty development community and interdisciplinary projects involving architecture and engineering.

Tarmo K Remmelمشاهده پروفایل

استاد

• Remote Sensing
• GIS (Geographical Information Systems)
• Spatial Pattern Analysis
• +۱۱ مورد دیگر

Tarmo K Remmel is a Professor at the Faculty of Environmental and Urban Change at York University , Canada. His research focuses on spatial pattern and shape analysis, particularly in boreal forest disturbance patterns, regeneration processes, and fragmentation. He develops theoretical approaches and software tools for quantifying spatial data, extending 2D and 3D analysis, and disseminating open-source solutions via the R environment . Education: B.E.S. (Honours), University of Waterloo, Geography (minor: Geology) M.Sc.F., Lakehead University, Forestry Ph.D., University of Toronto, Geography Research interests include: Shape and pattern measurement across spatial scales Forest disturbance recovery and carbon quantification 3D voxel segmentation and morphological classification Landscape configuration and boundary analysis Uncertainty and accuracy in geospatial measurements Free and Open Source Software (FOSS) for GIS Recent publications emphasize boreal wildfire/harvesting databases, 3D morphological metrics, and hyper-local spatial configuration. He has secured grants from NSERC , SSHRC , and the Canadian Space Agency for projects like Assessing forest disturbance and recovery and Accurate forest carbon quantification . Scientific awards include the Dean’s Service Award. He supervises graduate students in Geography and Environmental Studies, with ongoing projects in wildfire boundary analysis, methane cycling, and LiDAR-based forest mensuration. Labs & Teams: Leads the PATTERN Lab , which develops tools like morph and ShapePattern R packages. Collaborates with the International Ecological Footprint Learning Lab and BorealDB project.

Stuart Prescottمشاهده پروفایل

استاد

• Colloid and Surface Chemistry
• Polymers
• Surfaces and Structural Properties of Condensed Matter
• +۷ مورد دیگر

Professor Stuart Prescott is a faculty member in the Department of Chemical Engineering at the University of New South Wales (UNSW) . His research focuses on the interplay between molecular structures at interfaces and their physical properties, with applications in nanoparticle dispersions, energy technologies, and drug delivery systems. Education: PhD from CSIRO and the Cooperative Research Centre for Polymers, with postdoctoral work at the University of Melbourne and Marie Curie Fellowship in Bristol. Research Interests: Colloid and surface chemistry, polymer science, neutron scattering techniques, and solvent relaxation NMR for characterizing colloidal systems. Collaborations: Long-standing partnership with XiGo Nanotools to develop commercial NMR instrumentation (Acorn Area, AreaQuant software). Technical Contributions: Designed novel sample environments for neutron reflection experiments to study confinement effects on surface structures. Scientific Awards: Marie Curie Individual Fellowship Additional Activities: Active in the Free and Open Source Software (FOSS) movement, maintaining data analysis tools for the Debian project and contributing to open-source initiatives.

Gregor Böhlمشاهده پروفایل

پژوهشگر

• Dynamic Macroeconomics
• Macroeconometrics
• Econometrics
• +۱۲ مورد دیگر

Dr. Gregor Böhl is a Principal Investigator at the Institute for Macroeconomics and Econometrics within the Department of Economics at the University of Bonn. His research is fully funded by the German Research Foundation (DFG) under project 441540692, focusing on dynamic macroeconomics, econometrics, and public economics. He is also affiliated with the CRC TR 224 EPoS and contributes to the OSE initiative for teaching and research infrastructure. His research interests lie at the intersection of Dynamic Macroeconomics , Heterogeneous Agent Models (HANK) , DSGE modeling , and computational economics . He investigates how household heterogeneity shapes macroeconomic outcomes, particularly in the context of inequality , climate policy , monetary financing , and financial frictions . His methodological expertise includes nonlinear solution techniques, Bayesian estimation under occasionally binding constraints, and high-performance computational tools. The recent trend in his publications reveals a strong focus on the empirical and structural analysis of monetary policy , especially at the zero lower bound, the macroeconomic implications of climate policies , and the development of robust computational methods for solving complex economic models. His work combines theoretical modeling with advanced numerical techniques and open-source software development. 2017 Student Prize of the Society for Computational Economics Dr. Böhl has secured competitive research funding from the DFG and the OSE initiative. He actively mentors researchers and collaborates with leading economists such as Cars Hommes, Felix Strobel, and Gavin Goy. His academic contributions extend beyond publications to the development of widely used open-source software packages like pydsge , econpizza , and dime_sampler , which support estimation, simulation, and inference in macroeconomic models. He previously held a postdoctoral position at IMFS, Goethe University Frankfurt, with collaborations at the Hoover Institution, Stanford University. He leads a research group focused on computational macroeconomics and maintains a strong commitment to open science, reproducibility, and the use of free and open-source software (FOSS) in economic research. His team develops and maintains several GitHub repositories that provide tools for nonlinear filtering, Bayesian inference, and HANK model solutions.