Projects per year
Personal profile
Quote
"Unsupervised online learning from event streams is essential for applications with limited domain knowledge and real time demands."
Research profile
Marwan Hassani is leading a small research group on streaming process mining within the Process Analytic cluster. Marwan focuses in his research on online knowledge extraction from streaming event data and its applications in stream process mining. Marwan’s main interests are developing and applying unsupervised learning methods such as clustering, outlier detection and sequential pattern mining over streaming data. His main use case is optimizing customer journey and similar applications where scalable solutions are needed in an online manner and with limited availability of domain knowledge.
Academic background
Marwan Hassani has received a PhD in Computer Science in 2015 from RWTH Aachen University in Germany where he was a PhD candidate under the supervision of Thomas Seidl in the Data Management and Data Exploration Group. During his PhD, Marwan visited the School of Computing at Portsmouth University, UK. Marwan acted as a postdoctoral researcher at RWTH Aachen University from 2015 till July 2016. Since August 2016 he is an assistant professor in computer science at Eindhoven University of Technology TU/e where he is also leading the Customer Journey track of the Data Science Center Eindhoven (DSC/e). He has published over 65 scientific papers on Data Mining and Process Mining. Marwan has served in the program committees of major conferences and journals related to data mining, including ECML/PKDD, SDM, CIKM, KAIS, DAMI, JMLR. He has also co-chaired numerous scientific events on various data mining and process mining topics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Business Process Re-engineering and functional toolkit for GDPR compliance
van Dongen, B. F. (Project Manager), Hassani, M. (Project member), Medeiros de Carvalho, R. (Project member), Verbeek, H. M. W. (Project member), Zaman, R. (Project member) & Mozafari Mehr, A. (Project member)
1/05/18 → 30/04/21
Project: Research direct
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Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events
Verwijst, I., Mennens, R., Scheepens, R. & Hassani, M. (Corresponding author), 14 Feb 2025, Cooperative Information Systems: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings. Comuzzi, M., Grigori, D., Sellami, M. & Zhou, Z. (eds.). Cham: Springer, p. 111-128 18 p. (Lecture Notes in Computer Science (LNCS); vol. 15506).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction
Verbeek, T. & Hassani, M. (Corresponding author), 14 Feb 2025, Cooperative Information Systems - 30th International Conference, CoopIS 2024, Proceedings: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings. Comuzzi, M., Grigori, D., Sellami, M. & Zhou, Z. (eds.). Cham: Springer, p. 225-242 18 p. (Lecture Notes in Computer Science (LNCS); vol. 15506).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Outlier-Weighted Traffic Flow Prediction Using Online Autoencoders
Choudhary, H., Alkhodre, A. B. & Hassani, M. (Corresponding author), 16 Mar 2025, Database Engineered Applications: 28th International Symposium, IDEAS 2024, Bayonne, France, August 26–29, 2024, Proceedings. Chbeir, R., Ilarri, S., Manolopoulos, Y., Revesz, P. Z., Bernardino, J. & Leung, C. K. (eds.). Cham: Springer, p. 203-219 17 p. (Lecture Notes in Computer Science (LNCS); vol. 15511).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions
Tariq, H. (Corresponding author) & Hassani, M., 1 Jan 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part V. Meo, R. & Silvestri, F. (eds.). Cham: Springer, p. 402-419 18 p. (Communications in Computer and Information Science (CCIS); vol. 2137).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders
Musaj, Z. & Hassani, M. (Corresponding author), 14 Feb 2025, Cooperative Information System: 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings. Comuzzi, M., Grigori, D., Sellami, M. & Zhou, Z. (eds.). Cham: Springer, p. 93-110 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)
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Process Science (Journal)
Hassani, M. (Editorial board member)
1 Aug 2024Activity: Publication peer-review and editorial work types › Editorial activity › Scientific
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Data & Knowledge Engineering (Journal)
Hassani, M. (Guest editor)
15 Oct 2023Activity: Publication peer-review and editorial work types › Editorial activity › Scientific
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AI-Powered Customer Journey Transformation
Hassani, M. (Speaker)
27 Sept 2023Activity: Talk or presentation types › Invited talk › Scientific
Courses
Press/Media
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Findings from Eindhoven University of Technology Broaden Understanding of Data Retention (Conformance Checking of Process Event Streams With Constraints On Data Retention)
van Dongen, B. F. & Hassani, M.
14/07/23
1 item of Media coverage
Press/Media: Expert Comment