“Antonio is a result driven manager - his wonderful work flow, skills, knowledge and understanding of change requests made the project a dream. Multi-skilled people manager. His background makes Antonio to view solutions instead of problems.”
Informazioni
Greetings,
Embarking on a journey in 1996 as a software developer, I've evolved into a "Digital Transformer," passionately guiding enterprises through digital innovation with nearly three decades of experience. Specializing in steering C-level executives towards leveraging cutting-edge technologies like cloud computing, machine learning, and blockchain, I aim for enhanced value creation, agility, scalability, and resilience.
My journey spans multinational companies, pioneering startups, and innovative firms in the finance and energy sectors. I've led multimillion-euro projects from conception to delivery, orchestrating diverse teams to develop systems, processes, and services on time and within budget. My project management mantra revolves around five core principles: vision, teamwork, performance, learning, and results, ensuring daily adherence. As a team lead, my coaching style is tailored to each member, fostering rapid principle integration. My technological proficiency provides decisive support under pressure.
Holding an Electronic Engineering degree, I've bolstered my expertise with courses in project management, change management, and various technologies. My academic research contributions are published in leading international journals.
Specialties:
• Organizational leadership and technological innovation.
• Project and program management according to international standards.
• Systems and processes design, reengineering, and integration.
• Outsourcing contract management for systems and business processes.
• Change management.
• Budgeting and risk assessment for new ventures.
• Digital transformation execution.
• Expert knowledge in common protocols, architectures, and systems.
• Insight into established and emerging technologies.
I invite you to connect for any business inquiries or discussions on driving your enterprise towards digital excellence through creativity and execution.
Attività
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💥💥💥 Diffusion Models Are Real-Time Game Engines | Google Abstract We present GameNGen, the first game engine powered entirely by a neural model…
💥💥💥 Diffusion Models Are Real-Time Game Engines | Google Abstract We present GameNGen, the first game engine powered entirely by a neural model…
Condiviso da Antonio Montano 🪄
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The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao Abstract…
The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao Abstract…
Condiviso da Antonio Montano 🪄
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💥💥💥 An Information-Theoretic Approach to Generalization Theory | 262 pages Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund Abstract We…
💥💥💥 An Information-Theoretic Approach to Generalization Theory | 262 pages Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund Abstract We…
Condiviso da Antonio Montano 🪄
Esperienza
Formazione
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Successfully completed and received a passing score of 100% on applied exercises and learning development at the 2021 Qiskit Global Summer School on Quantum Machine Learning, demonstrating applied understanding and comfort with and about Quantum Computing and Quantum Machine Learning using Qiskit.
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This credential earner has developed the skills and know-how to explore the world of quantum computing through Qiskit. Through completion of intensive hands-on labs, they have gained significant knowledge and skill in quantum computation, using physics, math, and python to bridge the gap between quantum theory and real-world implementation.
Licenze e certificazioni
Pubblicazioni
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Influence of three-dimensional dynamics on the training effect in ferromagnet-antiferromagnet bilayers
Phys. Rev. B
Training effect in exchange-bias systems consists of a variation in coercivity and symmetry between the first reversal after field cooling and the following loops. It has been shown, in the frame of a two-dimensional coherent-rotation approach, that training might be explained in terms of an initial noncollinear arrangement of the antiferromagnetic spins after field cooling, which relaxes to a collinear arrangement during the first reversal [A. Hoffmann, Phys. Rev. Lett. 93, 097203 (2004)]. In…
Training effect in exchange-bias systems consists of a variation in coercivity and symmetry between the first reversal after field cooling and the following loops. It has been shown, in the frame of a two-dimensional coherent-rotation approach, that training might be explained in terms of an initial noncollinear arrangement of the antiferromagnetic spins after field cooling, which relaxes to a collinear arrangement during the first reversal [A. Hoffmann, Phys. Rev. Lett. 93, 097203 (2004)]. In this paper, we extend the model to three dimensions, by numerically solving the Landau-Lifshitz-Gilbert equation describing the precession motion of magnetic moments. We are thus able to discuss the validity of Hoffmann’s model within a three-dimensional approach, with parameter values similar to those in the original publication, and to enlighten the role of out-of-plane anisotropies and Gilbert damping in determining the occurrence of training. Moreover, when realistic values are considered for the magnetocrystalline anisotropy of the system, we find that no training is reproduced within our extended model, suggesting that symmetry-driven irreversibilities might not be as relevant as previously believed for training effect.
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A model for the dynamics of rowing boats. International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids
A model of a rowing scull has been developed, comprising the full motion in the symmetry plane and the interaction with the hydrodynamics. A particular emphasis has been given to the energy dissipation due to the secondary movements activated by the motion of the rowers and the intermittent forcing terms. Numerical simulations show the effectiveness of the proposed procedure.
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Numerical simulation of tethered buoy dynamics using mixed finite elements
Computer Methods in Applied Mechanics and Engineering
In this article, we devise a simulation tool of the dynamics of a tethered buoy, which is a mooring system consisting of a rigid floating body (buoy) connected by an elastic cable (mooring line) to the bottom of the fluid environment. The accuracy and robustness of the overall solution algorithm are based on an appropriate choice of three main ingredients. The first ingredient is the use of a novel mixed finite element formulation for the mooring line, which allows a robust modeling of the…
In this article, we devise a simulation tool of the dynamics of a tethered buoy, which is a mooring system consisting of a rigid floating body (buoy) connected by an elastic cable (mooring line) to the bottom of the fluid environment. The accuracy and robustness of the overall solution algorithm are based on an appropriate choice of three main ingredients. The first ingredient is the use of a novel mixed finite element formulation for the mooring line, which allows a robust modeling of the cable even in the limit of an infinite value of the Young modulus. The second ingredient is the use of quaternions in the equations of motion of the floating body, instead of Euler angles, which avoids angle singularities in the presence of large rotations. The third ingredient is the use of an implicit method (Backward Euler) for time discretization, in conjunction with a damped Newton method for the solution of the resulting nonlinear system, which avoids computational inefficiency of explicit time integration schemes in the presence of quasi-inextensible cables and a fine spatial grid size. The physical soundness of the mooring system model and the accuracy and robustness of the proposed numerical procedure are validated in the study of a tethered buoy operating under static and dynamic industrial-like working conditions.
Progetti
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SEPy4Fi: Software Engineering and Python Programming Language for Finance
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SEPy4Fi is geared toward financial analysts, risk managers, traders and quants who would like to learn how to use the Python programming language safely and pleasantly in their day-to-day work.
Lingue
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English
Conoscenza professionale completa
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Italian
Conoscenza madrelingua o bilingue
Referenze ricevute
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Iscriviti ora per vedereAltre attività di Antonio
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Quantization-free Lossy Image Compression Using Integer Matrix Factorization Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan…
Quantization-free Lossy Image Compression Using Integer Matrix Factorization Pooya Ashtari, Pourya Behmandpoor, Fateme Nateghi Haredasht, Jonathan…
Condiviso da Antonio Montano 🪄
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Adaptive Backtracking For Faster Optimization Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson Abstract Backtracking line search is…
Adaptive Backtracking For Faster Optimization Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson Abstract Backtracking line search is…
Condiviso da Antonio Montano 🪄
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AI-assisted Automated Short Answer Grading of Handwritten University Level Mathematics Exams Tianyi Liu, Julia Chatain, Laura Kobel-Keller, Gerd…
AI-assisted Automated Short Answer Grading of Handwritten University Level Mathematics Exams Tianyi Liu, Julia Chatain, Laura Kobel-Keller, Gerd…
Condiviso da Antonio Montano 🪄
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