Rudy Semola Email & Phone Number

Pisa, It

Darmstadt

Collaborating with OPS-GAA teams (ESA/ESOC) to share my ongoing research activities and contribute to innovative projects with the following objectives: i) developing, ii) integrating into existing ground segment systems, and iii) testing and validating continual learning as a technology to enhance satellite health monitoring. The approach will be tested for anomaly detection, short-term and long-term forecasting, and root cause investigation. The outcome of this research activity will advance the field of time-series analysis for space operations while strengthening the AI capabilities of ESA’s Directorate of Operations.

Pisa, Tuscany, Italy

ContinualIST is conceived as an innovative, potentially business-disruptive, startup that targets high-growth market sectors such as Automation of IT Processes (AI/MLOps), Automation of Business Processes and AI to improve customer and employer experience. ContinualIST is an approved spin-off of the University of Pisa, Italy. Its mission is to pursue technological transfer of our leading research results in lifelong/continual learning and automated machine learning (AutoML), and to promote disruptive innovation in the new generation of sustainable AI systems with methodologies and processes enabling the design, development and maintenance of data-driven systems in an automatic, adaptive, efficient and transparent way.

Active Member - A Non-profit Research Organization and Open Community on Continual Learning for AI

Il primo Social Network per l’ecosistema imprenditoriale innovativo italiano!

Pisa, Tuscany, Italy

Applied Brain Science - Computational Neuroscience (CNS) - Helped undergraduate students in laboratory sessions - topics covered were: bio-inspired neural modelling | advanced computational neural models for learning | architectures and learning methods for dynamical/recurrent NNs for temporal data- Graded assignments and helped in reviewing and guiding independent and instructor-assigned projects for students.

I work on WP4 team to build Artificial Intelligence as a Service (AIaaS) software infrastructure that supporting the development and deployment of autonomous, adaptive and dependable CPSoS applications, allowing them to exploit sustainable human feedback to drive, optimize and personalize the provisioning of their services.R&D EU-funded projectApplication/Experimentation: Autonomous Driving and Aviation

Barcelona, Catalonia, Spain

Worked in visual search and recommendation problems involving images in the fashion domain.◦ Improved the research, design and developing skills into Computer Vision (CV) and Deep Learning (DL) fields◦ Experience as Project Manager◦ Improved on managerial, coordination and teamwork skills (with CV team, SWE team)◦ Improved English languageSmart Working

Tuscany, Italy

I worked on an AI-based solutions project for PMI and Large Enterprises.In particular, it was a company R&D project with the aim to insert into a web application a smart detection and classification module of the type and variety of leaves.◦ Improved the research, design and developing skills into Computer Vision/Deep Learning fields◦ Improved the usage of tools like Github, TF ecosystem (TF 2.0,TF.js and TFX), Firebase Cloud, Docker, Jupyter, Colab, Node.js; Python, NumPy, Pandas, Scipy, Pillow, OpenCV and web languages like Javascript◦ Improved the managerial and communication skillsCompany Site: https://tuonomeregistrar.net/

Montecatini Terme, Tuscany, Italy

Sports Association results: it has achieved +120 member every year, entering for the number of members in the top ten in Italy and the first in Tuscany!Personal skills gained◦ Managerial, leadership and communication skills through training and daily practice with athletes of different ages for three sports seasons.◦ Relational and public speaking skills to promote the activity and manage the team during the three seasons.◦ Teamwork between the staff of the sports association and among competitive athletes in order to achieve the set annual objectives.

Doctor Of Philosophy (Phd) Student, Computer Science - Machine Learning

Master'S Degree, Computer Science, Curriculum Artificial Intelligence, 110/110 Cum Laude

Title Thesis: "Quantum control via Deep Reinforcement Learning using IBMQ platform and Qiskit Pulse " I discussed my thesis on 5/03/2021.

Bachelor'S Degree, Computer Engineering, 101/110

Thesis Title: "Analysis and Development of Visual Editor for creation of IoT Rules with NodeRED/NodeJS semantics" DISIT Lab - Snap4City.