Lidia Alecci
Research Services
I have served as a reviewer for the following conferences and journals: IMWUT and CSCW. Additionally, I have been a member of the Technical Program Committee for WellComp 2024 and WellComp 2025 (the Workshop on Wellbeing Computing at UbiComp/ISWC 2024 and 2025).

I served as a student volunteer at UbiComp/ISWC 2022 in Cambridge and UbiComp/ISWC 2023 in Cancún.
Teaching Assistant
As part of the PhD program, I have been a teaching assistant for the following courses:

Computer Networking

Teaching Assistant for the Computer Networking course during the Spring Semesters of 2021, 2022 and 2023 at Università della Svizzera italiana (USI).

Tasks: design assignments, assess assignment submissions, hold exercises sessions, proctor and assess exams, mentor and assess group projects, attend lectures and hold office hours.

Course Informaton

Introduction to Programming (Python)

Teaching Assistant for the Introduction to Programming (Python) course at Università della Svizzera italiana (USI) during the Autumn Semesters of 2023-2024, 2024-2025 and 2025-2026.

Tasks: hold exercises sessions, design exams, proctor and assess exams, hold office hours.

Course Informaton
Student Supervision
Overall, during my PhD, I co-supervised a total of three Bachelor's theses, two Master's theses, a Master's student for a summer project, and a student under the Master's Research Scholarship (MaRS) program:
  • Dario Rasic - Bachelor's thesis on "Predicting missing sensor data for sleep monitoring systems" (2022)
  • Arianna Bianchi - Bachelor's thesis on "Data Augmentation for Sensor-Based Sleep and Wake Recognition" (2022)
  • Alessandro Zanzi - Bachelor's thesis on "Multi-User Identification through Photoplethysmography: Evaluation on a Longitudinal Dataset" (2024)
  • Emilio Lingenthal - Master's thesis on "Re-Identifying Users Using Photoplethysmography Data Collected from Wearable Devices" (2024)
  • Mohammed Salaymeh - Master's thesis on "User De-anonymization from Physiological Data: Opportunities and Pitfalls" (2024)
  • Daniel Sergio Vega Rodriguez - Summer project on "User Re-Identification from Wearable PPG Signals via Signal-to-Image Deep Learning Techniques" (2023)
  • Krishna Sajeev Menon - Master's Research Scholarship (MaRS) project on "Personalization for stress and mood recognition in diverse user groups" (2024)