جستجوی استاد راهنمای دانشگاهی

Michele Amorettiمشاهده پروفایل

دانشیار

• Parallel and Distributed Computing
• Quantum Computing
• High Performance Computing
• +۳ مورد دیگر

Prof. Michele Amoretti is an Associate Professor at the Department of Engineering and Architecture of the University of Parma, Italy, since December 2018. He holds a PhD in Information Technology from the same university (2006) and was a research fellow there from 2007 to 2015. He directs the Quantum Software Laboratory under the Department of Information Engineering and participates in the University's Scientific Computing Working Group. A Senior Member of IEEE and ACM member, he is fluent in Italian, English, and French. His academic journey began with a Degree in Electronic Engineering from the University of Parma (2002), followed by a PhD in Information Technology (2006). He gained international experience as a Visiting Researcher at CNRS LIG Lab in Grenoble (2013), collaborating on IPv6-based wireless sensor networks. Amoretti's research spans parallel and distributed systems, with current emphasis on Quantum Computing, High Performance Computing, and IoT. His 140+ publications reveal a pronounced shift toward quantum algorithms, distributed quantum infrastructure, and quantum machine learning, alongside IoT applications in precision agriculture. This evolution aligns with his leadership in European quantum initiatives. Honors include IEEE Senior Membership and ACM affiliation. He serves on the Editorial Board of IEEE Transactions on Quantum Engineering and reviews for major journals. His project leadership includes Horizon Europe's Quantum Internet Alliance and PNRR-funded quantum machine learning initiatives. As Principal Investigator for 20+ projects since 2002, he has secured funding from ESA, EU, and regional bodies. Current roles include Node Coordinator for UNIPR in CINI HPC-KTT National Laboratory and Co-coordinator of its Quantum Computing Focus Group. He leads the Quantum Software Laboratory, driving quantum software development and simulation capabilities. His work bridges theoretical quantum computing with practical HPC and IoT implementations, positioning him at the forefront of Europe's quantum technology ecosystem.

• Numerical Analysis
• High-Performance Computing (HPC)
• Scientific Computing
• +۳ مورد دیگر

Matteo Cicuttin is a Researcher at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino. His academic work spans teaching and research, with affiliations to the Numerical Analysis and Scientific Computing research group. He contributes to PhD and undergraduate courses, including High-Performance Scientific Computing and Linear Algebra. Department of Mathematical Sciences (DISMA), Politecnico di Torino Research Interests : Cicuttin specializes in high-performance computing (HPC) solvers for partial differential equations (PDEs) in complex and large-scale domains. His work focuses on hybrid high-order methods, generic programming for polytopal meshes, and computational approaches to oscillatory elliptic problems. He actively develops numerical frameworks for scientific computing applications in solid mechanics and fluid dynamics. Publication Trends : His recent publications emphasize hybrid high-order methods for PDEs, mesh generation for polygonal/polyhedral domains, and spectral approximation techniques. Collaborative efforts with Ern, Burman, and Di Pietro highlight interdisciplinary applications of numerical analysis in engineering and computational mathematics. Labs and Teams : Cicuttin is affiliated with the Numerical Analysis and Scientific Computing group at DISMA. His work intersects with the development of computational tools for academic and industrial applications, particularly in aerospace engineering and mathematical engineering curricula.

• Particle Physics
• Experimental Physics
• Fundamental Interactions
• +۲ مورد دیگر

Andrea Bressan is an Associate Professor in the Physics Department at the University of Trieste, specializing in Experimental Physics of Fundamental Interactions and Applications. He holds an active research position with Staff/Student ID number 7240 and maintains professional affiliations through the university's physics department infrastructure. Position: Associate Professor Field: Experimental Physics of Fundamental Interactions and Applications Institutional Roles: Member and President of the Commissione per la Valutazione della Ricerca (CVR), Member of Department's Board, Member of Boards of Studies Professor Bressan's research focuses on experimental approaches to fundamental physics interactions with applications. His work intersects with computational physics as evidenced by his participation in major national research initiatives. While specific research projects aren't detailed in the available information, his involvement in advanced physics research suggests expertise in experimental methodologies for studying fundamental particles and interactions. He actively contributes to the National Centre for HPC, Big Data and Quantum Computing research project, which runs from September 1, 2022 to February 28, 2026, funded by the Italian Ministry of University and Research. This project represents a significant national initiative in advanced computing where Professor Bressan serves as a participant. As an academic leader, Professor Bressan serves in multiple governance roles including the Department's Board and Boards of Studies, contributing to academic administration and curriculum development for the Physics program (SM20) at the University of Trieste.

• Astrophysics
• Cosmology
• Space Science
• +۳ مورد دیگر

Stefano Borgani serves as a Full Professor in the Department of Physics at the University of Trieste, specializing in Astrophysics, Cosmology, and Space Science. He actively participates in departmental governance as a member of the Department's Board, Boards of Studies for Physics programs, and Doctoral Studies Boards across multiple Physics doctoral cycles (XXIX through XXXIX). His research focuses on cosmological studies within the Galaxies and Cosmology strand, investigating the formation and evolution of cosmic structures. Borgani's work bridges theoretical astrophysics with advanced computational methods, positioning him at the forefront of computational cosmology research. Professor Borgani leads significant research initiatives including the National Centre for HPC, Big Data and Quantum Computing, and Space-based cosmology with Euclid: the role of High-Performance Computing. These projects leverage cutting-edge computational resources to analyze complex cosmological phenomena and space-based observational data. His academic contributions extend to mentoring doctoral students across multiple cycles and shaping physics education through his involvement in curriculum development and academic governance at the University of Trieste.

• Experimental Physics
• Fundamental Interactions
• High-Performance Computing
• +۳ مورد دیگر

Candelise Vieri is a fixed-term researcher at the Department of Physics, University of Trieste. She contributes to interdisciplinary research projects spanning experimental physics of fundamental interactions, high-performance computing, and quantum technologies. Her work includes participation in the National Centre for HPC, Big Data and Quantum Computing, and the Precision Timing in the quest for New Physics at LHC initiative. Affiliation: Department of Physics, University of Trieste Research Focus: Experimental physics, gravitational waves, quantum computing Her academic role involves teaching and research supervision, with technical-administrative responsibilities on departmental boards.

Gabriele Cescuttiمشاهده پروفایل

دانشیار

• Astrophysics
• Galactic Archaeology
• Chemical Evolution of Galaxies
• +۴ مورد دیگر

Gabriele Cescutti is an Associate Professor in the Department of Physics at the University of Trieste, specializing in Astrophysics, Cosmology and Space Science. He holds multiple leadership positions including membership on the Executive Board, Department's Board, and Boards of Studies. His primary research focus is Galactic Archaeology, which studies the formation process of our Galaxy and its satellites through the analysis of chemical abundances in stars. His work centers on developing and applying chemical evolution models to understand galactic formation history. Professor Cescutti leads significant research initiatives including the COSMIC-POT project investigating the nucleosynthesis of heavy elements through observations, models, and innovative instrumentation. He actively participates in major national research infrastructure projects related to high-performance computing. Scientific Manager of COSMIC-POT project (2023-2025) Participant in National Centre for HPC, Big Data and Quantum Computing Member of research group focusing on Stellar Populations and Interstellar Medium His research combines observational data from surveys like Gaia-ESO, MINCE, and WEAVE with sophisticated galactic chemical evolution models to address fundamental questions about element formation in the universe.

Pierluigi Monacoمشاهده پروفایل

دانشیار

• Astrophysics
• Cosmology
• Space Science
• +۵ مورد دیگر

Pierluigi Monaco is an Associate Professor at the Department of Physics, University of Trieste, with affiliations to INAF-OATs and INFN. He leads the development of the PINOCCHIO code for dark matter halo simulations. Research spans astrophysics, cosmology, and computational physics Develops fast cosmological simulation methods via Lagrangian Perturbation Theory Focuses on galaxy formation, dark matter dynamics, and supernova/black hole feedback His publications emphasize high-precision cosmology, with key contributions to dark matter halo clustering algorithms, modified gravity simulations, and hierarchical structure formation modeling. The PINOCCHIO code (GNU GPL v2) enables rapid generation of cosmological halo catalogs by combining ellipsoidal collapse with 3LPT displacement fields. Current projects include: PRIN-INAF 2014: High-Performance Computing for space cosmology PRIN-MIUR 2015 (PI S. Borgani): Galaxy formation simulations National Centre for HPC, Big Data, and Quantum Computing (active participant)

• High-Performance Computing
• Big Data
• Quantum Computing
• +۳ مورد دیگر

Jyoti Babbar is a Research Fellow at the University of Trieste , specifically within the Department of Physics . Her work aligns with advanced computational and quantum research initiatives. She actively participates in projects like the National Centre for HPC, Big Data and Quantum Computing , focusing on cutting-edge technologies in high-performance computing and quantum domains. Her contact details include the email JYOTI.BABBAR@units.it .

• High-Performance Computing (HPC)
• Big Data Analytics
• Quantum Computing
• +۳ مورد دیگر

Davide Bidoggia is a Research Fellow at the Department of Physics , University of Trieste, actively contributing to advanced research initiatives. He is involved in the National Centre for HPC, Big Data and Quantum Computing , focusing on computational methodologies and data-driven physics. His research intersects with gravitational wave astronomy and astroparticle physics, particularly through participation in the Virgo Collaboration. Key Projects : National Centre for HPC, Big Data and Quantum Computing (Participant; Active) Research Focus : High-performance computing, quantum technologies, and gravitational wave data analysis.

• High Performance Computing
• Grid Computing
• Cloud Computing
• +۴ مورد دیگر

Giovanni Aloisio serves as full professor of Information Processing Systems at the University of Salento's Department of Innovation Engineering, where he leads the HPC laboratory. Concurrently, he directs the Supercomputing Center and Scientific Computing and Operations (SCO) Division at the Euro-Mediterranean Center on Climate Change (CMCC), holding key roles in CMCC's Governance bodies, Strategic Council, and Executive Committee. His research spans high performance computing, grid/cloud systems, and distributed data management with strong climate science applications. A co-founder of the European Grid Forum (Egrid), he has driven major EU initiatives including EGEE, IS-ENES1/2, and EESI/EESI2 projects while chairing the Weather, Climate and solid Earth Sciences (WCES) European Working Group. His work focuses on integrating HPC, big data, and machine learning for climate modeling and environmental analysis. Recent publications reveal a convergence of computational techniques addressing climate science challenges, featuring end-to-end workflows, climate data spaces in the European Open Science Cloud, and AI applications for tropical cyclone tracking and epidemiological modeling. The research demonstrates systematic integration of simulation, analytics, and machine learning across climate and public health domains. No specific scientific awards are documented in the source material. Professor Aloisio has secured substantial European research funding through leadership roles in critical infrastructure projects: EU-FP7 IS-ENES1/IS-ENES2 projects as CMCC responsible EU-FP7 EESI/EESI2 projects as ENES responsible Chair of WCES European Working Group Key expert in International Exascale Software Project (IESP) He operates at the intersection of academic and research institution leadership, directing both the University of Salento's HPC laboratory and CMCC's Supercomputing Center while collaborating with the ENES HPC Task Force and European Grid Initiative to advance computational climate science infrastructure.

• Parallel and Distributed Programming
• Functional Programming
• High-Level Programming Models
• +۳ مورد دیگر

Professor Phil Trinder is a Professor of Computing Science at the University of Glasgow's School of Computing Science. He leads the Glasgow Parallelism Group (GPG) and is a member of the Glasgow Systems Section (GLASS). His research focuses on parallel and distributed programming models, functional programming, and scalable systems. Education: DPhil (Doctor of Philosophy) from the University of Oxford. Research Interests: Design and implementation of high-level distributed/parallel programming models, computational algebra applications, and collaboration with industry (Ericsson, Microsoft, etc.). Publications span over 78 works, emphasizing parallel algorithms, distributed systems, and functional programming frameworks like Erlang. Recent work explores tierless IoT architectures and reliability in distributed platforms. Grants/Projects: Principal Investigator on 12 major projects, including EU funding and EPSRC grants. Notable contributions to SD Erlang and SymGrid-Par frameworks. Labs/Teams: Glasgow Parallelism Group (GPG), GLASS section, and involvement in the Scottish Programming Languages Seminar (SPLS).

• Computer Architecture
• High Performance Computing
• GPU Programming
• +۵ مورد دیگر

Josie Esteban Rodriguez Condia is a Fixed-term Assistant Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. She is a member of the CARS@PoliTO Interdepartmental Center - Center for Automotive Research and Sustainable Mobility and serves as an invited member of both the College of Electronic, Telecommunications, and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Her research focuses on computer architecture reliability, particularly in GPU and AI accelerator systems. Key areas include functional testing, general purpose graphics processing units (GPGPUs), hardware accelerators, hardware architecture, and parallel processing. Her work addresses critical challenges in reliability assessment of AI-based automotive systems, self-test libraries for tensor cores, and hardening techniques for neural networks on GPUs. Her recent publications demonstrate a strong trend toward reliability engineering for AI hardware, with particular emphasis on automotive applications and GPU-based neural network implementations. The research spans fault injection methodologies, error modeling, and architectural solutions to enhance system resilience against soft errors and permanent faults. Dr. Rodriguez Condia actively supervises PhD students including Gustavo Vilar De Farias, Giuseppe Esposito, and Robert Alexander Limas Sierra, all working on reliability evaluation and enhancement of neural networks. She is a member of the PNRR Research Group for the National Center for HPC, Big Data and Quantum Computing (2022-2025). She teaches multiple courses including GPU Programming and High Performance Computing for both Computer Engineering and Quantum Engineering programs. Her editorial work includes serving as Guest Editor for APPLIED SCIENCES in 2024.

• High Performance Computing
• Sparse Matrix Computations
• Parallel Computing
• +۳ مورد دیگر

Michele Martone is a Researcher at the High Performance Systems Division of the Leibniz Supercomputing Centre (LRZ) in Garching, Germany. His work focuses on High Performance Computing (HPC) , sparse matrix computations , and code restructuring techniques , with a strong emphasis on OpenMP/MPI parallelization and semantic patching using the Coccinelle tool. Research Interests : HPC, automated code restructuring, sparse matrix optimization, semantic patching, and free/open source software (FLOSS) development. Key Tools : Author of the librsb library for sparse matrix operations, SparseRSB for Octave, PyRSB for Python integration, and the FIM image viewer. Publications : His recent work includes semantic patching for HPC refactorings, Coccinelle-based tooling, and performance optimization of sparse linear algebra libraries. Teaching : Delivers trainings and talks on Coccinelle, OpenMP/MPI, and FLOSS at events like HIPS25 , FOSDEM , and deRSE conferences. Advocacy : Strongly promotes free software, transparency in science, and public access to code developed with taxpayer funding.

Roberto Espositoمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۴ مورد دیگر

Roberto Esposito is an Associate Professor at the Department of Computer Science, University of Turin. His research focuses on Machine Learning, Deep Learning, and Fairness in AI, with collaborations at Johannes Gutenberg University Mainz and INRAE. He leads the European PILOT project (H2020) and participates in initiatives like NextPerception and HPC4AI. He received the SELEX Innovation Award for territory monitoring systems and achieved notable results in the DREAM Challenge. He teaches courses on Neural Networks and Deep Learning and supervises PhD students in Modeling and Data Science. Education: Details not explicitly provided in text. Research interests include AI ethics, semi-supervised learning, and HPC integration with AI. He has contributed to projects like the European PILOT (30M€), NextPerception (smart sensors), and HPC4AI. His work on gene expression prediction via neural networks has been highly cited (>1300 citations). Awards include the SELEX Innovation Award and top placements in the DREAM Challenge. He advises PhD students and collaborates with industry partners like Intesa San Paolo and Leonardo/SELEX.

Alessandro Tasoraمشاهده پروفایل

استاد

• Theoretical Mechanics
• Numerical Methods in Multibody Dynamics
• Robotics
• +۷ مورد دیگر

Alessandro Tasora is a Full Professor at the University of Parma in the Department of Industrial Engineering and Department of Engineering and Architecture . He directs the Digital Dynamics Lab and serves as Scientific Director of the Smart Production Lab 4.0 . His work spans theoretical mechanics, robotics, and high-performance computing. Director, Digital Dynamics Lab (2019–present) Scientific Director, Smart Production Lab 4.0 (2017–present) National Scientific Qualification for Full Professor (2016) Honorary Associate, University of Wisconsin-Madison (2009–present) Research focuses on non-smooth multibody dynamics , GPU-accelerated simulation , and industrial robotics . He developed the Chrono::Engine software for multibody physics and HyperOCTANT for NLCP problems. His work addresses granular flows in nuclear reactors, vehicle mobility on deformable terrain, and historical structural analysis. Key article trends include GPU-based HPC for large-scale simulations, cone complementarity in contact dynamics, and isogeometric beam formulations for flexible bodies. Collaborations with Argonne National Laboratory and Fraunhofer ITWM highlight his international impact. Top-SNIP Paper (2017) International CAE Conference Poster Award (2015) Best Paper, Asian Conference on Multibody Dynamics (2010) TOP4 Paper, RAAD Robotics Workshop (2011) He has supervised over 40 theses in automation, tribology, and robotics. Grants include FFABR-MIUR , US Army RIF , and CNR projects . Projects involve seismic protection, autonomous AGVs, and Industry 4.0 consulting.