Emmanouil Sylligardos
PhD Student · École Normale Supérieure, Paris
Education
PhD Candidate
Département Informatique · École Normale Supérieure · Paris, France
Supervisors: Prof. Paul Boniol, Prof. Pierre Senellart
Thesis: Accuracy and Execution Time Trade-off in Ensembling and Model Selection for Time Series Analytics (defense expected May 2027)
M.Sc. in Computer Science and Engineering
Computer Science · University of Crete · Greece
Supervisor: Prof. Panos Trahanias
Thesis: Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series
GPA: 9.29/10
B.Sc. in Computer Science
Computer Science · University of Crete · Greece
Supervisor: Prof. Panos Trahanias
Thesis: A Deep Learning Approach to Detect Ventilatory Over-Assistance
GPA: 8.64/10
Erasmus+ M.Sc. in Computer Science and Engineering
Electrical Engineering and Computer Science · TU Berlin · Germany
Supervisor: Prof. Georgios Smaragdakis
GPA: 7.5/10
Research Experience
Research Intern
Aristotle University of Thessaloniki
Host supervisor: Prof. John Paparrizos
Associate Researcher
Data Intensive and Knowledge Oriented Systems (diNo) group · Université Paris Cité
Supervisors: Prof. Themis Palpanas, Prof. Paul Boniol
Postgraduate Research Engineer
Computational Vision and Robotics Laboratory (CVRL) · ICS, FORTH
Supervisor: Prof. Panos Trahanias
Undergraduate Research Fellow
Computational Vision and Robotics Laboratory (CVRL) · ICS, FORTH
Supervisors: Prof. Panos Trahanias, Dr. Markos Sigalas
Undergraduate Research Student
Laboratory of Energy and Photovoltaic Systems (LEPS) · TEI of Crete
Supervisors: Er. Pantelis Sylligardos, Prof. Fotis Mavromatakis
Publications
Accurate or Interpretable? Both! Joining Accuracy and Interpretability Evaluation Measures for Time Series Anomaly Detection
Doan, T. T. H., Sylligardos, E., et al.
VLDB 2027Under reviewBreaking the Model Selection Barrier? Three Learning Paradigms for Supervised Ensembling in Time Series Anomaly Detection
Rozzio, A., Sylligardos, E., Boniol, P.
ICLR 2027Under reviewToward a Scalable and Adaptive Evaluation Measure for Time Series Anomaly Detection
Sylligardos, E., Huang, M., Paparrizos, J., Senellart, P., Boniol, P.
ICDE 2027In preparationPyxida: What Do Time Series Anomaly Detection Benchmarks Really Say?
Sylligardos, E., Stanzione, R., Paparrizos, J., Senellart, P., Boniol, P.
ICDE Demo 2027In preparationAutoVUS
Sylligardos, E., Huang, M., Paparrizos, J., Senellart, P., Boniol, P.
ICDE Demo 2027In preparationMSAD: A Deep Dive into Model Selection for Time series Anomaly Detection
Sylligardos, E., Paparrizos, J., Palpanas, T., Senellart, P., Boniol, P.
The VLDB Journal, 34, article 72 2025Reproducibility badgeInterpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control
Nguyen, N.-T., Skålvik, A. M., Sylligardos, E., et al.
IEEE Big Data 2025Fast or Accurate? Rethinking Time Series Anomaly Detection
Sylligardos, E.
VLDB and BDA PhD Workshops 2025ADecimo: Model Selection for Time Series Anomaly Detection
Boniol, P., Sylligardos, E., et al.
ICDE 2024Best Demonstration Runner-UpChoose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series
Sylligardos, E., et al.
VLDB 2023Soundoulounaki, S., Sylligardos, E., et al.
Journal of Personalized Medicine 2023A Deep Learning Approach to Detect Ventilatory Over-Assistance
Sylligardos, E., et al.
ICPRAI 2022Baka, E., Mishra, N., Sylligardos, E., et al.
HCI International 2022
Teaching Experience
Teaching Assistant, The Art of Programming
PSL University, France
Teaching Assistant, Big Data and AI
Prof. Vassilis Christophides · ENSEA, France
Assistant, Tutorial on Anomaly Detection for Time Series
1st diiP Interdisciplinary Summer School on Data Science (dSDS), France
Teaching Assistant, Pattern Recognition
Prof. Panos Trahanias · University of Crete, Greece
Teaching Assistant, Computer Networks
Prof. Maria Papadopouli · University of Crete, Greece
Academic Service
Program Committee Member: WSDM 2027
2026External Invited Reviewer: KDD 2026, Pattern Recognition
2026External Invited Reviewer: VLDB 2025, KAIS 2025, EDBT 2025, NeurIPS 2025 (workshop)
2025External Invited Reviewer: ICDE 2024, DSAA 2024
2024Co-supervisor (with Prof. Paul Boniol): Thu T. H. Doan, PhD student, Gran Sasso Science Institute (January - March)
2026Co-supervisor (with Prof. Paul Boniol): Adam Rozzio, M.Sc. intern, ENS Paris-Saclay (February - June)
2025Distinctions & Honors
- 2025Reproducibility badge for MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection, VLDB Journal
- 2025Invited participant at the Meta Paris Open House Event
- 2025Participant, 1st TwinODIS Summer School “Responsible Data & Decision Intelligence: AI and OR Societal Impact”, FORTH, Crete, Greece
- 2024Best Demonstration Runner-Up for ADecimo: Model Selection for Time Series Anomaly Detection at ICDE 2024
- 2022Designed the ML pipeline for Horizon Europe funded project PERCEIVE
- 2021, 2023Awarded a bachelor's and a master's degree with Excellent Performance
- 2019Awarded student fellowship in Computer Networks, Prof. X. Dimitropoulos
- 2018First place in the CTF Student Competition, Prof. E. Markatos