PhD Student Session

The scope of this session is to provide an opportunity interact with colleagues and leading experts working on foundations, techniques, tools, and applications of software engineering. Students should consider active participation in the session if they have settled on a dissertation topic and have already outlined a research proposal. Participation of students at different stages of their own PhD program is welcome: both initial stage (first or second year) and mature stage (third or fourth year) students can benefit from the session. The major goals of the session are:

  • provide participants with useful comments and constructive feedback on their current/future research activity;
  • provide an opportunity for student to increase their body of knowledge in a collaborative and friendly environment;
  • provide an opportunity for student to interact with established researchers and practitioners in the software engineering community;

To participate students have to send the following information to Matteo Camilli by Friday June 26, 2020:

  • Personal information (first and last name, affiliation)
  • PhD program stage: either initial or mature
  • Title of the outlined research activity

Participants have to prepare a short presentation that should cover the following points:

  • The problem to be solved with a justification of its importance
  • Brief overview of related work pointing out open issues
  • Short description of the proposed approach and expected contribution
  • Current activity or plan for evaluating your work and results
  • Progress in solving the stated problem
Initial stage students might find difficult to address some of these points. Nevertheless, they should attempt with best effort. The first slide of the presentation should clearly state if the presentation describes an initial or mature work.

The session includes a number of:

  • student presentations (mature stage: 10 minutes each, initial stage: 8 minutes each); followed by
  • Q&A sessions (mature stage: 5 minutes each, initial stage: 4 minutes each)
During the session, all the participants (both students and experts) will fill out a small online form for each speaker in order to provide them with useful comments and constructive feedback on the quality of the presentations.

Mature-stage presentations:

  • Risk-Based Data Validation in Machine Learning-Based Software Systems, Harald Foidl, University of Innsbruck, Austria
  • An Approach for Building Domain Specific Search Engines, Lalit Mohan Sanagavarapu, International Institute of Information Technology, Hyderabad

Initial-stage presentations:

  • Measuring quality of interactive autonomous systems, Davide Molinelli, Università della Svizzera Italiana
  • Quality of Medical Software and Systems, Andrea Bombarda, University of Bergamo, Italy
  • Automated Model-Based Testing for the Continuous Improvement of Cyber-Physical Systems using Artificial Intelligence Technologies, Daniel Kopp, University of Innsbruck, Austria
  • Machine Learning for Continuous Integration, real time incident detection and root cause analysis, Guillaume Haben, University of Luxembourg
  • Data-Driven Log Recommendation, Jeanderson Barros Candido, Delft University of Technology, Netherlands
  • Software testing of autonomous systems, Qunying Song, Lund University, Sweden