Zilverling

dr.ir. M. Zangiabady (Mahboobeh)

Lecturer
EEMCS-CS-DACS
Zilverling
m.zangiabady@utwente.nl
+31534892168
Business card

Mah Zangiabady is a lecturer in the Design and Analysis of Communication Systems (DACS) group at the University of Twente. Her research focuses on understanding and combating online hate speech at scale, using artificial intelligence and machine learning to detect, classify, and track hateful content across large social media datasets.

She develops and applies natural language processing techniques including transformer-based models such as BERT alongside clustering and network analysis methods to uncover patterns in how hate speech spreads, evolves, and clusters around political and social topics online. Her work combines these AI-driven methods with social network analysis and graph theory to study the structure of online communities and how they influence the spread of harmful content, drawing on her broader expertise in graph analytics, routing, and network systems.

Alongside her research, Mah Zangiabady is committed to innovative, student-centered teaching, aiming to create a safe and interactive learning environment where students are encouraged to experiment, take risks, and develop creative solutions to real-world problems.

Expertise

  • Computer Science

    • Virtual Networks
    • Virtual Network Embedding
    • Dashboards
    • Bidirectional Encoder Representations From Transformers
    • Directed Acyclic Graph
    • Software Defined Networking
    • Software-Defined Network

  • Social Sciences

    • Logopedics

Organisations

Publications

2026

Assessing the Effectiveness of Large Language Models and Social Media Data for Early Traffic-Incident Detection (2026)In Emerging Trends in Artificial Intelligence and Applications: 12th International Conference on Computational Science and Computational Intelligence, CSCI 2025, Las Vegas, NV, USA, December 3–5, 2025, Proceedings (pp. 286-298) (Communications in Computer and Information Science; Vol. 2967). Springer. Ece, C., Garcia-Robledo, A. & Zangiabady, M.https://doi.org/10.1007/978-3-032-28454-9_20A Software Platform for Orchestrating, Monitoring, and Evaluating Distributed Actor–Learner Urban Routing Systems (2026)[Contribution to conference › Paper] 26th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2026 (Accepted/In press). Schram, D., Garcia-Robledo, A. & Zangiabady, M.Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality (2026)In Euro-Par 2026: Parallel Processing: 32nd European Conference on Parallel and Distributed Processing, Pisa, Italy, August 24–28, 2026, Proceedings (pp. 3-17). Springer. Damink, N., Garcia-Robledo, A. & Zangiabady, M.https://link.springer.com/chapter/10.1007/978-3-032-35251-4_1Large-Scale Hate Speech Analysis with BERT and HDBSCAN: Tracking Political Influence Across 55M Reddit Posts (2026)In 2025 International Conference on Electrical and Computer Engineering Researches (ICECER). Zangiabady, M., Andrei, R. & Garcia-Robledo, A.https://doi.org/10.1109/ICECER65523.2025.11401350Tracking Online Hate During the COVID-19 Pandemic in the Netherlands: A Hybrid Machine Learning and Keyword-Based Analysis of Dutch Social Media (2026)In 2025 International Conference on Electrical and Computer Engineering Researches (ICECER). Zangiabady, M., Garcia-Robledo, A., Lotgerink, W. & Savarese, V.https://doi.org/10.1109/ICECER65523.2025.11401145Comparing gravity-based centralities across divergent network topologies: Evidence from internet AS and citation DAGs (2026)In Fifth International Conference on Artificial Intelligence, Automation, and Algorithms (AI2A 2025): Proceedings volume 14073. Article 1407309 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 14073). SPIE. te Poel, J., Garcia-Robledo, A. & Zangiabady, M.https://doi.org/10.1117/12.3097387

2025

Exploring the gravitational model for ranking influential nodes in directed acyclic networks (2025)Social Network Analysis and Mining, 15. Article 83. Garcia-Robledo, A., Zangiabady, M. & Sonneveld, J.https://doi.org/10.1007/s13278-025-01500-4

2024

Tracer: A Tool for Race Detection in Software Defined Network Models (2024)[Working paper › Preprint]. ArXiv.org. Caltais, G., Zangiabady, M. & Zvirbulis, E.https://doi.org/10.48550/arXiv.2410.23763Tracer: A Tool for Race Detection in Software Defined Network Models (2024)[Contribution to conference › Paper] 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2024. Caltais, G., Zangiabady, M. & Zvirbulis, E.Decoding Online Hate in the United States: A BERT-CNN Analysis of 36 Million Tweets from 2020 to 2022 (2024)In 18th IEEE International Conference on Semantic Computing (ICSC2024) (pp. 329-334). IEEE. Sekhar Pandey, S., Garcia-Robledo, A. & Zangiabady, M.https://doi.org/10.1109/ICSC59802.2024.00059

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Address

University of Twente

Zilverling (building no. 11)
Hallenweg 19
7522 NH Enschede
Netherlands

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