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Anomaly Detection in Big Data and Mid-Term Event


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Anomaly Detection in Big Data and Mid-Term Event
Anomaly Detection in Big Data and Mid-Term Event

Time & Location

09 Nov 2026, 09:00 EET – 13 Nov 2026, 19:00 EET

Strada Teodor Mihali 58-60, Strada Teodor Mihali 58-60, 400591 Cluj-Napoca, Romania

About the event

Anomaly Detection in Big Data and Mid-Term Event


Zoom link for online participation:

https://econ-ubbcluj-ro.zoom.us/j/81509036962 


Monday, 9th of November

9:00 – 9:15 Opening of the training school, room 118, Prof. Codruța MARE (UBB)

9:20 – 10:00 Anomaly Detection Fundamentals (1st part), room 118, trainer Eduard STAN (Data Scientist at Dell Technologies)

10:00 – 10:15 Coffee break, room 317

10:15 - 11:45 Anomaly Detection Fundamentals (2nd part), room 127, trainer Eduard STAN (Data Scientist at Dell Technologies)

11:45 – 12:00 Coffee break, room 317

12:00 – 13:00 Rare Event Detection and Model Interpretability (1st part), room 127, trainer Oana SÎRBU (Data Scientist at Dell Technologies)

13:00 – 14:00 Lunch break, room 317

14:00 – 15:15 Rare Event Detection and Model Interpretability (2nd part), room 127, trainer Oana SÎRBU (Data Scientist at Dell Technologies)

15:15 – 15:30 Coffee break, room 317

15:30 – 17:00 Temporal Anomalies in Time Series Data, room 127, trainer Luiza Adelina CIUCU (Data Scientist at Dell Technologies)

17:00 – 17:15 Coffee break, room 317

17:15 – 19:00 Day wrap up, room 317, Prof. Codruța MARE & Prof. Monica ACHIM (UBB)


Tuesday, 10th of November

9:00 – 9:50 Day opening – discussions on Anomaly Detection 1st day topics, room 317, Prof. Codruța MARE (UBB)

9:50 – 10:00 Coffee break, room 317

10:15 - 11:45 Forecast Accuracy and Anomaly Detection in the Age of Machine Learning, (1st part), room 127, trainer Prof. Anastas DZUROVSKI (University St. Kliment Ohridski)

11:45 – 12:00 Coffee break, room 317

12:00 – 13:00 Forecast Accuracy and Anomaly Detection in the Age of Machine Learning, (2nd part), room 127, trainer Prof. Anastas DZUROVSKI (University St. Kliment Ohridski)

13:00 – 14:00 Lunch break, room 317

14:00 – 15:15 Anomaly Detection: The Silent guardian of Our Digital World (1st part), room 127, trainer Prof. Liana STANCA (UBB)

15:15 – 15:30 Coffee break, room 317

15:30 – 17:00 Anomaly Detection: The Silent guardian of Our Digital World (2nd part), room 127, trainer Prof. Liana STANCA (UBB)

17:00 – 17:15 Coffee break, room 317

17:15 – 19:00 Day wrap up, room 317, Prof. Codruța MARE & Prof. Monica ACHIM (UBB)


Wednesday, 11th of November

9:00 – 9:50 Day opening – discussions on Anomaly Detection 2nd day topics, room 317, Prof. Codruța MARE (UBB)

9:50 – 10:00 Coffee break, room 317

10:15 - 11:45 Anomaly Detection in the S&P 500 Using Isolation Forest and Long Short-Term Memory (LSTM) Networks (1st part), room 127, trainer Prof. Anastas DZUROVSKI (University St. Kliment Ohridski)

11:45 – 12:00 Coffee break, room 317

12:00 – 13:00 Anomaly Detection in the S&P 500 Using Isolation Forest and Long Short-Term Memory (LSTM) Networks, (2nd part), room 127, trainer Prof. Anastas DZUROVSKI (University St. Kliment Ohridski)

13:00 – 14:00 Lunch break, room 317

14:00 – 15:30 FINDER-LLM: FINancial Anomaly DEtection and Recognition using Large Language Models, room 127, trainer PhD. Student David Siang-Li JHENG (ASE)

15:30 – 15:45 Coffee break, room 317

15:45 – 17:00 Spatial and Spatio-Temporal Anomaly Detection, room 127, trainer Prof. Codruța MARE (UBB)

17:00 – 17:15 Coffee break, room 317

17:15 – 19:00 Day wrap up, room 317, Prof. Codruța MARE & Prof. Monica ACHIM (UBB)


Thursday, 12th of November – Mid-Term Event

9:00 – 9:45 Day opening and participant registration, room 317, Prof. Codruța MARE (UBB)

10:00 – 10:15 Opening session Mid-Term event, room 127, Prof. Joerg Osterrieder (UT)

10:15 – 11:45 Doctoral candidates research progress and plan, room 127, chair Prof. Monica ACHIM (UBB)

11:45 – 12:00 Coffee break, room 317

12:00 – 13:00 Beneficiary and Associate Partners research updates – current output and future plan, room 127, chair Prof. Codruța MARE (UBB)

13:00 – 14:00 Lunch break, room 317

14:00 – 15:30 WPs research updates – status and plan, room 127, chair Prof. Joerg Osterrieder (UT) and Prof. Monica Achim

15:15 – 15:30 Coffee break, room 317

15:30 – 16:15 Future of MSCA Digital, room 127, chair Prof. Joerg Osterrieder (UT) and Prof. Codruța MARE (UBB)

16:15 – 17:00 Closing ceremony, room 127, chair Prof. Joerg Osterrieder (UT) & Prof. Codruța MARE (UBB)


Friday, 13th of November

9:00 – 9:50 Day opening – discussions on Anomaly Detection 3rd day topics topics, room 317, Prof. Codruța MARE (UBB)

9:50 – 10:00 Coffee break, room 317

10:15 - 11:45 Final industry prototypes for data quality tools: Industry report on business challenges addressed related to the financial data space (1st part), room 127, trainer Prof. Codruța MARE (UBB)

11:45 – 12:00 Coffee break, room 317

12:00 – 13:00 Data generation results and impacts related to data quality and methodologies (1st part), room 127, trainer Prof. Codruța MARE (UBB)

13:00 – 14:00 Lunch break, room 317

14:00 – 15:45 Final industry prototypes for data quality tools: Industry report on business challenges addressed related to the financial data space (2nd part), room 127, trainer Prof. Codruța MARE (UBB)

15:45 – 16:00 Coffee break, room 317

16:00 – 18:00 Data generation results and impacts related to data quality and methodologies (2nd part), room 127, trainer Prof. Codruța MARE (UBB)

18:00 – 18:15 Coffee break, room 317

18:15 – 19:00 Closing session and event wrap up, room 317, Prof. Codruța MARE & Prof. Monica ACHIM (UBB)


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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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