M. (Mirela) Riveni, PhD

I am an Assistant Professor, working within the Information Systems Group at the Bernoulli Institute, RUG.  I earned a PhD degree while working in the Distributed Systems Group, Institute of Information Systems, Vienna University of Technology, and a M.Sc. degree in Computer Networks at KTH -The Royal Institute of Technology. 

My PhD work was focused on provisioning and management mechanisms for automating Human Computation processes in adaptive systems with humans-in-the-loop.  I have worked on ranking strategies for task-to-expert matching, trust and reputation models for crowdsourcing and social computing, team-formation mechanisms and adaptation strategies for systems that support social computing.

Currently, my work is focused on large-scale network analysis, and specifically disinformation detection and (dis)information spreading analysis, as well as polarization and eco chambers. Studying information spreading patterns in decentralized systems (i.e., the fediverse) is especially interesting. I work with network science metrics, graph-based algorithms, ML, and NLP.

A fairly new research line that I am working on is investigating provenance in large scale network analysis; other related contexts I study are: provenance of code, and provenance in workflows.

I am also interested in bias and discrimination issues in recommender systems. A special focus of mine are privacy and ethical issues, on which I write and give talks as well.

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Prospective students: If you are interested in thesis work on the aforementioned topics, or if you have another related topic in mind, feel free to contact me via email or just drop by my office.

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Reviewing/PC Work

• DAIS 2024, Program Committee Member
• EDOC 2023 local organizing committee member
• ASONAM 2023, Program Committee Member
• Transactions on the Web, 2023
• ACM Computing Surveys, Reviewer in 2021
• IEEE Internet Transactions on Services Computing, Reviewer in 2020
• PC member at the Workshop on Recommender Systems in Fashion, fashionXrecsys, Reviewer in 2021, 2020 and 2019 (collocated with ACM's RecSys)
• PC member at the Special Issue: Fashion Recommender Systems. Lecture Notes in Social Networks, Springer Journal Volume, 2019
• EEE Internet Computing, Reviewer in 2018
• Invited International Jury member for BSc thesis defense on cognitive computing, at University of Cordoba, Colombia, 2020, 2019