Twelfth European Big Data Management & Analytics Summer School (eBISS 2024)

Local Organizers

• 

  Dr. Massimiliano de Leoni

  Associate Professor of Computer Science, Department of Mathematics, University of Padova , Padova

  Dr. Massimiliano de Leoni is an Associate Professor of Computer Science at the University of Padua (UniPd), Italy, where he leads a research group on Process Science, currently including 5 Ph.D. students and one Post-Master student. He obtained a Ph.D. in Computer Engineering in 2009 at SAPIENZA - University of Rome on a thesis on Business Process Flexibility and Adaptation. From 2014 to 2018, he was an Assistant Professor at Eindhoven University of Technology (TU/e), the Netherlands. He is currently the UniPd’s coordinator of the EU-funded Erasmus Mundus BDMA – Big Data Management and Analytics. He is a member of the IEEE Task Force on Process Mining. The research areas of Prof. de Leoni include Business Process Management and Modeling, Process Mining, Business Process Improvement, Process Simulation, Predictive Analytics, and Process-Aware Recommender Systems

  Email:   deleoni@math.unipd.it
  Web:   https://www.math.unipd.it/~deleoni/index.html

• 

  Francesco Vinci

  Department of Mathematics, University of Padova , Padova

  Francesco Vinci is a current PhD student in the Department of Mathematics at the University of Padova, specializing in Computer Science for Societal Challenges and Innovation. Currently working on a project under the supervision of Prof. Massimiliano de Leoni, he is involved in efforts to optimize public administration processes. The project focuses on integrating data and feedback from stakeholders, departing from traditional methods that rely solely on subjective feedback. Francesco Vinci employs user-evaluation techniques, Machine Learning, AI, and Process Mining for effective optimization. The project aims to interpret normative frameworks and provide insights through case studies. Additionally, it explores the use of business process simulation for "what if" experiments, assessing the impact of changes without disrupting real-world systems. The ultimate goal is to propose methodologies that leverage AI to enhance the quality of business process simulation models, contributing to advancements in the research field.

  Email:   francesco.vinci.1@studenti.unipd.it
  Web:   http://hit.psy.unipd.it/francesco-vinci



• 

  Alessandro Padella

  Department of Mathematics, University of Padova , Padova

  Alessandro Padella is a current PhD student at the University of Padova, specializing in Computer Science for Societal Challenges and Innovation. Under the supervision of Prof. Massimiliano de Leoni, Alessandro's project focuses on Process Mining to extract knowledge about business processes within organizations. The aim is to improve processes through a Process-aware Recommender System and model repairs at the design stage. The project integrates Process-Mining with Machine- and Deep-Learning techniques to develop software tools with advanced Graphical User Interfaces for process improvement suggestions. Techniques from human-computer interaction are also utilized.

  Email:   alessandro.padella@phd.unipd.it
  Web:   http://hit.psy.unipd.it/alessandro-padella-2

• 
  
  
  

  Faizan Ahmed Khan

  Department of Mathematics, University of Padova , Padova

  Faizan, a dedicated PhD student in the Department of Mathematics at the University of Padova, specializes in Computer Science for Societal Challenges and Innovation. Currently engaged in a research project under the guidance of Prof. Massimiliano de Leoni, Faizan focuses on Process Robotic Automation (PRA), a groundbreaking approach revolutionizing business operations. Through the deployment of software robots, PRA automates rule-based tasks, optimizing efficiency, and significantly reducing operational costs. Methodologically, Faizan's work involves meticulous process analysis, design, rigorous testing, and strategic deployment of PRA. The project aims to unravel the multifaceted benefits of PRA, including operational efficiency, cost reduction, enhanced accuracy, scalability, and improved compliance. Faizan's research is poised to explore the transformative impact of PRA on business processes, aiming to uncover applications, challenges, and future advancements in this dynamic and evolving field.

  Email:   faizanahmed.khan@studenti.unipd.it
  

• 

  Ngoc Diem Le

  Department of Mathematics, University of Padova , Padova

  Ngoc Diem Le is currently pursuing her Ph.D. in the "Brain, Mind, and Computer Science" program at the University of Padova, specializing in Computer Science for Societal Challenges and Innovation. Under the supervision of Prof. Massimiliano de Leoni, her research aims to enhance the efficiency of public administrations by leveraging Explainable AI techniques for the analysis of transactional data within their information systems. Moreover, the research aims to facilitate the digital transition while considering sociological aspects. It proposes solutions for a global acceptance of changes, incorporating Explainable AI techniques. Ethical considerations are paramount, ensuring fairness and responsibility in choices, avoiding discrimination based on gender, ethnicity, or social class.

  Email:   ngocdiem.le@phd.unipd.it