Vasileios Iosifidis

About Me

Hi my name is Vasileios (Bill) Iosifidis. I'm a PhD student at the Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover, under the supervision of Prof. Eirini Ntoutsi. My interests are: Fairness-Aware Machine Learning, Stream Learning, Semi-supervised Learning, Coding, Data Structures and new technologies. My moto is: Design, Implement, Debug, Repeat :D

Research Interests

Fairness-Aware Machine Learning

Data Stream Mining

Semi-Supervised Learning

Data Augmentation

Ensemble Learning

Previous Experience

T.A, Seminar: Data Mining, Leibniz University of Hannover


T.A, Data Mining 1, Leibniz University of Hannover


T.A, Data Mining 2, Leibniz University of Hannover


T.A, Artificial Intelligence, Leibniz University of Hannover


T.A, Seminar: Advanced Topics in Data Mining, Leibniz University of Hannover


Researcher, Computer Technology Institute

February 2015 - April 2016

T.A., JAVA/C++ LAB, University of Patras

February 2015 - June 2015

T.A., ANSI C LAB, University of Patras

October 2014 - February 2015 / November 2016 - January 2016

Python Tutor, University of Patras

September 2014 - December 2014

Intern Software Engineer, SAMSUNG NANORADIO

May 2014 - August 2014


February 2015 - April 2016


Ph.D. in Machine Learning

June 2016 - Present Leibniz University Hannover & L3S Research Center | Hannover

Supervisor: Prof. Eirini Ntoutsi

M.Sc. in Software Engineering

2014 - 2016 Computer Engineering and Informatics Department, University of Patras | Greece

Thesis title: A Fully Persistent Encryption Binary Tree For Range Queries

Supervisors: Prof. Christos Makris

Diploma (M.Sc.) in Computer Engineering

2009 - 2014 Computer Engineering and Informatics Department, University of Patras | Greece

Thesis title: Compressing Inverted Files using Modified LZW

Supervisor: Prof. Christos Makris

Nerdy Skills





Linux OS

Apache Hadoop

Apache Spark

Apache Storm



Other Certificates

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, [link]

Coursera Jun 2019

Neural Networks and Deep Learning, [link]

Coursera Jun 2019

Structuring Machine Learning Projects, [link]

Coursera Jun 2019

Supervised Students

Discrimination-Aware Learning in Data Streams

Master Thesis: Thi Ngoc Han Tran SS18

Generator for Discriminatory Streams

Research project: Stefanos Stagakis SS18

Sentiment Analysis with Deep Learning

Master Thesis: Alvaro Alvaro Veizaga Campero SS18

Lexicon-based Approaches for Sentiment Analysis in Twitter

Research project: Alvaro Alvaro Veizaga Campero SS17


V. Iosifidis, B. Fetahu, E. Ntoutsi, "FAE: A Fairness-Aware Ensemble Framework", IEEE International Conference on Big Data (IEEE BigData 2019) (to appear).

V. Iosifidis, E. Ntoutsi, "AdaFair: Cumulative Fairness Adaptive Boosting", ACM International Conference on Information and Knowledge Management (CIKM 2019) (to appear).

V. Iosifidis, E. Ntoutsi, "Sentiment Analysis on Big Sparse Data Streams with Limited Labels", Knowledge and Information Systems (KAIS) journal. [local copy][bib]

V. Iosifidis, H. Tran, E. Ntoutsi, ``Fairness-enhancing interventions in stream classification'', 30th International Conference on Databases and Expert Systems Applications (DEXA19), accepted. [arxiv]

P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives.", Springer International Journal on Digital Libraries (IJDL). [local copy] [bib]

D. Melidis, A. Veizaga Campero, V. Iosifidis, E. Ntoutsi, M. Spiliopoulou, "Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams", WIMS 2018. [local copy]

V. Iosifidis, E. Ntoutsi, "Dealing with Bias via Data Augmentation in Supervised Learning Scenarios", BIAS workshop in conjunction with iConference 2018. [local copy]

P. Fafalios, V. Iosifidis, E. Ntoutsi, S. Dietze, "TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets", ESWC, 2018.

Mohapatra, N., Iosifidis, V., Ekbal, A., Dietze, S., & Fafalios, P. " Time-aware and corpus-specific entity relatedness", ESWC, 2018. [arxiv]

V. Iosifidis, E. Ntoutsi, "Large scale sentiment annotation with limited labels",KDD, Halifax, Canada, 2017.[local copy][bib]

V. Iosifidis, E. Ntoutsi, "Sentiment Classification over Opinionated Data Streams through Informed Model Adaptation",TPDL, Thessaloniki, Greece, 2017.[local copy]

P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Multi-aspect Entity-centric Analysis of Big Social Media Archives", TPDL, Thessaloniki, Greece, 2017.[local copy]

V. Iosifidis, and C. Makris, "Compressing Inverted Files using Modified LZW." WEBIST 2016.

Ispoglou, K., Makris, C., Stamatiou, Y. C., Stavropoulos, E. C., Tsakalidis, A. K., & Iosifidis, V., "Partial order preserving encryption search trees" In Database and Expert Systems Applications (pp. 49-56). Springer, Cham.

Data Mining Group   |   L3S Research Center