جست‌وجوی استاد و پژوهشگر

• Volcanology
• Volcanic Hazard Assessment
• Computational Geophysics
• +۲ مورد دیگر

Sara Barsotti is a researcher at the National Institute of Geophysics and Volcanology (INGV) specializing in volcanology and volcanic hazard assessment. Her key roles include: Associate Editor for Volcanology at Frontiers in Earth Science Review Editor for Geohazards and Georisks at Frontiers in Earth Science Contributor to the EU Center of Excellence for Exascale in Solid Earth (ChEESE) Member of the EUROVOLC citizen-science initiative Collaborator with European volcano observatories Her research focuses on computational geophysics, volcanic hazard modeling, and operational monitoring systems. She investigates tephra dispersion dynamics, lava flow behavior, and probabilistic hazard assessment using high-performance computing. Her work emphasizes European volcanic systems—particularly Icelandic eruptions—and integrates multidisciplinary approaches to improve crisis management protocols and public safety during volcanic events. Analysis of her recent publications reveals a strong trend toward operationalizing advanced computational methods for real-time hazard assessment. Key developments include exascale computing applications for solid earth simulations, refinement of the Aviation Colour Code system for aviation safety, and citizen-science data integration for eruption monitoring. These efforts consistently target practical risk mitigation strategies during active volcanic crises like the 2021 Fagradalsfjall eruption. Scientific awards: None mentioned in the provided text. While specific advised students or individual grants aren't documented, her leadership in major European projects (ChEESE, EUROVOLC) demonstrates substantial involvement in funded research initiatives. These projects coordinate transnational collaborations involving observatories, research centers, and emergency management agencies across Europe. Barsotti actively participates in integrated European volcano infrastructure teams, contributing to standardized monitoring protocols, hazard communication frameworks, and crisis response systems. Her work bridges institutional observatories (e.g., Icelandic Meteorological Office, INGV sections) with community-based monitoring tools, enhancing data collection and public engagement during volcanic unrest.

• High-Performance Computing
• Supercomputing
• Exascale Computing
• +۲ مورد دیگر

Bronis R de Supinski serves as Chief Technology Officer (CTO) for Livermore Computing (LC) at Lawrence Livermore National Laboratory (LLNL) and holds the position of Professor of Exascale Computing at Queen's University of Belfast. In his LLNL role, he formulates large-scale computing strategy, oversees implementation, and manages collaborations with industry and academia while engaging with global supercomputing leaders. His academic foundation includes a Ph.D. in Computer Science from the University of Virginia (1998), after which he joined LLNL in July 1998. De Supinski's research centers on exascale systems and high-performance computing for national security applications, with significant contributions to supercomputing architecture and scientific computing. His work bridges theoretical advances with practical deployment of cutting-edge computational infrastructure through LLNL's Center for Applied Scientific Computing. His distinguished recognition includes: Gordon Bell Prize (2005) Gordon Bell Prize (2006) R&D 100 Award (x2) Fellow of the ACM Fellow of the IEEE He provides strategic guidance for major research initiatives including the El Capitan exascale system deployment and has secured significant collaborations through his leadership roles. His conference involvement spans chairing SC21 and other ACM HPC events, shaping the global HPC research agenda. De Supinski operates within Livermore Computing (LC), LLNL's dedicated supercomputing center, and previously led research teams in LLNL's Center for Applied Scientific Computing.

• High-Performance Computing
• Computational Chemistry
• Exascale Computing
• +۳ مورد دیگر

Alistair Rendell is the Vice President and Executive Dean of the College of Science and Engineering at Flinders University, effective since 2019. Previously, he served as Director of the Research School of Computer Science at the Australian National University. His academic journey began with a chemistry undergraduate degree and a PhD in theoretical chemistry, focusing on solving the Schrödinger equation for molecular systems using high-performance computing resources. His research spans computational chemistry, high-performance computing (HPC), and exascale computing architectures. He has led collaborative projects with industry partners like IBM, Microsoft, Fujitsu, and Intel, and currently contributes to US-led exascale computing initiatives. Rendell's career includes a postdoctoral role at NASA Ames Research Center in the 1990s, where he worked on vector supercomputers. His work emphasizes optimizing computational chemistry software for emerging architectures, including GPUs and exascale platforms. He has authored numerous articles on algorithm scalability, parallel computing, and energy-efficient HPC systems. His research interests include developing robust, scalable algorithms for electronic structure calculations and advancing software for next-generation supercomputers. Notable contributions include advancements in the General Atomic and Molecular Electronic Structure System (GAMESS), RI-MP2 method scaling, and GPU-accelerated Fock matrix builds. His work bridges theoretical chemistry with computational science, addressing challenges in both algorithm design and hardware utilization.

• Quantum Chemistry
• High-Performance Computing
• GPU Computing
• +۳ مورد دیگر

Dr. Giuseppe Maria Junior Barca is a researcher at The Australian National University's School of Computing, specializing in high-performance computing and quantum chemistry. His work focuses on developing and optimizing GPU-accelerated algorithms for large-scale quantum chemistry simulations, including Fock matrix construction, distributed GPU architectures, and molecular fragmentation techniques. Research Interests: His research emphasizes computational methods for biomolecular systems, electronic structure calculations, and parallel computing strategies to enhance computational efficiency. Key areas include GPU-based distributed computing, MP2 potentials, and Coulomb-perturbed fragmentation approaches. Advising & Grants: Barca leads projects such as the development of exascale software for catalysis and energy-optimal algorithms for FPGA implementations. He is also registered to supervise research students in computational chemistry and high-performance computing. Labs/Teams: He contributes to research groups focused on computational chemistry and GPU-accelerated scientific computing, collaborating with experts in parallel algorithms and supercomputing infrastructure.

Giuseppe Barcaمشاهده پروفایل

مدرس

• High-Performance Computing
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Giuseppe Barca is a Lecturer of High-Performance Computing (HPC) in the School of Computing at the Australian National University (ANU), part of the ANU College of Systems & Society. He holds leadership roles in multi-institutional collaborations, including PaCER projects and the GAMESS Exascale Computing Project. His research focuses on integrating HPC, AI, and quantum chemistry to revolutionize computational science, enabling transformative digital technologies in materials science, drug discovery, and sustainable manufacturing. Barca’s work has led to world records in computational-driven chemical modeling and the 2024 ACM Gordon Bell Prize for the EXESS software. His research interests span high-performance algorithms, machine learning for digital chemistry, and autonomous discovery protocols. He leads a group advancing quantum chemistry software like EXESS, optimized for exascale supercomputers. The group’s digital workflows automate and accelerate chemical R&D by combining quantum mechanics with AI-driven predictions. Barca’s contributions bridge computational efficiency and scientific impact, addressing challenges in scalable HPC algorithms and AI integration. Awards: 2024 ACM Gordon Bell Prize, World Record in Material Structure Modelling (2020–2021) Leadership Roles: Pawsey Centre for Extreme-scale Computing (PaCER), GAMESS Exascale Project Software: EXESS (winner of Gordon Bell Prize), AliSim-HPC, CONQUEST Barca’s team offers competitive graduate and postdoctoral openings in HPC, AI, and digital chemistry, emphasizing programming skills in C/C++, GPU architectures, and version control systems. Research themes include algorithmic innovation for quantum chemistry, generative AI for material discovery, and autonomous digital workflows for drug design.

Gianluca Demartiniمشاهده پروفایل

استاد

• Information Retrieval
• Semantic Web
• Human Computation
• +۹ مورد دیگر

Professor Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow at the School of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology at the University of Queensland, Australia. He also serves as an affiliate of the Centre for Enterprise AI. His research focuses on human-in-the-loop artificial intelligence systems with applications for public good, bridging structured knowledge graphs and unstructured text analytics to address societal challenges. Dr. Demartini earned his Ph.D. in Computer Science from Leibniz University of Hannover in Germany in 2011, with a focus on Semantic Search. His academic journey includes positions as a Lecturer at the University of Sheffield (UK), post-doctoral researcher at the eXascale Infolab at the University of Fribourg (Switzerland), visiting researcher at UC Berkeley, junior researcher at the L3S Research Center (Germany), and intern at Yahoo! Research (Spain). His research interests span four major interconnected domains: Misinformation (studying human interaction with misinformation and AI-based mitigation strategies), Crowdsourcing and Human Computation (improving efficiency of human-in-the-loop systems), Big Data Analytics (designing scalable algorithms for large datasets), and AI for Public Good (applying AI for societal and environmental benefits). His work consistently addresses real-world challenges in information quality, human-AI collaboration, and ethical technology deployment. Analysis of Professor Demartini's recent publications reveals a clear trajectory toward addressing misinformation through sophisticated human-AI collaboration frameworks, with increasing emphasis on cognitive aspects of fact-checking, data bias management, and strategic application of large language models. His research bridges theoretical advances in information retrieval with practical applications for societal challenges, particularly in media literacy, online safety, democratic discourse, and environmental conservation. Professor Demartini has received numerous prestigious awards recognizing the quality and impact of his work: Best Paper Award at ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023 Best Paper Award at AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018 Best Paper Awards at European Conference on Information Retrieval (ECIR) in 2016 and 2020 Best Demo award at International Semantic Web Conference (ISWC) in 2011 Honorable Mention Award at CSCW 2020 (Top 2% of submissions) As an active supervisor, Professor Demartini currently guides PhD students working on cutting-edge topics including Retrieval Augmented Generation, Human-in-the-Loop Decision Systems for Online Safety, Human-Centred Artificial Intelligence for Democracy, and Bias in Data Pipelines. His research program is generously funded through multiple major grants: ARC Future Fellowships (2025-2028): PBIAS - A Principled Approach to Data Bias Management Swiss National Science Foundation (2022-2025): Large-Scale Political Participation: Issue Identification, Deliberation, and Co-creation ARC Training Centre for Information Resilience (2021-2026) Previous funding from Wikimedia Foundation, Meta, Google, and Facebook for projects on misinformation detection and human-AI collaboration Professor Demartini's work sits at the critical intersection of human computation, information retrieval, and AI ethics. Through extensive collaborations with industry partners including Facebook, Google, Microsoft, Yahoo!, IBM, SAP, and The National Archives (UK), he has developed practical systems that address real-world challenges in misinformation detection, data quality, and human-AI collaboration. His research group actively explores how to make AI systems more transparent, accountable, and beneficial for society through principled human-in-the-loop approaches that leverage both machine intelligence and human expertise.

• Hardware/Software Interaction
• High-Performance Exascale Computing
• Heterogeneous Systems Architecture
• +۱ مورد دیگر

Dr. Mohamed Zahran is a Professor at the Computer Science Department, Courant Institute of Mathematical Sciences, New York University. His research focuses on hardware/software interaction, high-performance exascale computing, heterogeneous systems architecture, and biologically inspired computing. He has authored over forty refereed papers and a book on heterogeneous computing from hardware and software perspectives. Ph.D. in Electrical and Computer Engineering from University of Maryland at College Park He has served on organizing committees for ACM and IEEE conferences, including Computing Frontiers (CF), IPDPS, HPCA, ICS, and SC. Zahran has also participated in review panels at the National Science Foundation (NSF) and Department of Energy (DoE). Senior Member of ACM Senior Member of IEEE Sigma Xi Scientific Honor Society member

David Pettyمشاهده پروفایل

مدرس

• Hypersonics
• Turbulence Modelling
• Combustion
• +۴ مورد دیگر

Dr David Petty is a Lecturer at the School of Engineering and Information Technology (UNSW Canberra). He joined in 2022 after serving as a research scientist at the University of Illinois at Urbana-Champaign's Center for Exascale Simulation of Plasma-Coupled Combustion. PhD in Aerospace Engineering (University of Queensland, 2015) BE (Mechanical & Space) with Honors / BSc in Mathematics (University of Queensland, 2009) His research focuses on: High-fidelity variable-density turbulence modelling and hypersonic boundary-layer transition using spectral methods and automatic differentiation Thermochemical nonequilibrium gasdynamics in supersonic flows, including vibrational nonequilibrium and real-gas physics DSMC implementations on FPGAs for exascale simulations of plasma-coupled combustion Recent work emphasizes stochastic learning machines , supersonic nozzle flows , and uncontrolled re-entry dynamics . Dr Petty teaches Thermodynamics (ZEIT2500) and Fluid Mechanics (ZEIT2503), integrating his expertise in hypersonic systems and turbulence modelling.

• Numerical Geophysics
• Groundwater Modelling
• Mantle Convection
• +۳ مورد دیگر

Dr. Sia Ghelichkhan is a Tenure-Track Lecturer at the Research School of Earth Sciences (RSES) and member of the Institute for Water Futures at ANU. She holds a PhD in Geophysics from Ludwig Maximilian University of Munich (2019). Her expertise lies in numerical geophysics, particularly in developing large-scale models for groundwater systems, mantle convection, and glacio-isostatic adjustment. As co-lead of the Geoscientific Adjoint Optimisation Platform (G-ADOPT), she integrates advanced numerical methods to address Earth system dynamics. Her research combines adjoint data assimilation techniques with observational data to constrain mantle flow and geodynamic processes. Research interests focus on continental-scale groundwater modelling, mantle rheology, and dynamic topography. She leads projects on mantle convection retrodictions (e.g., early Cenozoic Atlantic region) and collaborates on global geodynamic models. Supervised student: Ruby Turner. Affiliations include the Environmental Geodesy Research Group and Climate & Ocean Geoscience Department. Active in high-resolution mantle flow simulations and exascale computing initiatives (e.g., TerraNeo). Awards: Not explicitly listed in provided texts. Grants include ANU Futures Scheme 2.0 and projects on sea-level modelling, geodynamic inversion, and mantle flow reconstructions. Laboratory involvement through G-ADOPT platform development.