Alberto Castellini

Curriculum

•   Curriculum vitae   (pdf, en, 338 KB, 19/05/21)

Italian version: Alberto Castellini è ricercatore a tempo determinato (Rtd-b) presso il dipartimento di informatica dell'Università di Verona. I suoi interessi di ricerca si focalizzano sullo sviluppo di tecniche di Intelligenza Artificiale, Machine Learning e Data Analysis, con applicazioni su sistemi intelligenti di vario genere, come sistemi ciberfisici, sistemi robotici, smart grid e smart building. Le principali metodologie su cui lavora sono modelli predittivi per serie temporali multivariate, metodi per pianificazione con incertezza, apprendimento con rinforzo, tecniche di regressione e clustering, interpretabilita' di modelli predittivi, situation assessment e rilevamento di anomalie. Alberto Castellini ha partecipato a numerosi progetti di ricerca nazionali ed internazionali occupandosi di tematiche relative allo sviluppo di modelli predittivi e decisionali. I suoi principali lavori sono pubblicati su riviste scientifiche internazionali di intelligenza artificiale e sistemi intelligenti (e.g., Engineering Applications of Artificial Intelligence, IEEE Intelligent Systems, Robotics and Autonomous Systems). Le conferenze internazionali a cui ha contribuito come autore sono, ad esempio, International Joint Conference on Artificial Intelligence (IJCAI), International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) e International Conference on Automated Planning and Scheduling (ICAPS). Inoltre partecipa ai comitati di programma di conferenze come AAAI Conference on Artificial Intelligence, Conference on Uncertainty in Artificial Intelligence ed altre nell'ambito dell'intelligenza artificiale.

English version: Alberto Castellini is a fixed-term researcher (Rtd-b) at the computer science department of the University of Verona. His research interests focus on the development of Artificial Intelligence, Machine Learning and Data Analysis techniques, with applications on intelligent systems of various kinds, such as, cyber-physical systems, robotic systems, smart grids and smart buildings. The main methodologies he works on are predictive models for multivariate time series, methods for planning under uncertainty, reinforcement learning, regression and clustering techniques, interpretability of predictive models, situation assessment and anomaly detection. Alberto Castellini has participated in numerous national and international research projects dealing with the development of predictive and decision-making models. His main works are published in international scientific journals on artificial intelligence and intelligent systems (e.g., Engineering Applications of Artificial Intelligence, IEEE Intelligent Systems, Robotics and Autonomous Systems). The international conferences he has contributed to as an author are, for example, the International Joint Conference on Artificial Intelligence (IJCAI) and the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) and International Conference on Automated Planning and Scheduling (ICAPS). He also participates in conference program committees such as AAAI Conference on Artificial Intelligence, the Conference on Uncertainty in Artificial Intelligence and others in the field of artificial intelligence.