CV

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Education

• Ph.D. in Computer Science, École Polytechnique, France, 2015-2019
  Thesis: “Novel Representations, Regularization & Distances for Text Classification”, DaSciM team (LIX), advisor: Prof. Michalis Vazirgiannis
• M.Sc. in Mathematics, Vision and Learning (MVA), École Normale Supérieure Paris-Saclay (Cachan), France, 2014-2015
• B.Sc. in Computer Science (4-year curriculum), Athens University of Economics and Business, Greece, 2013

Positions

• Assistant Professor of Natural Language Processing, Department of Computer Science and Engineering, University of Ioannina, Greece
• Founder, BLUAI, a Greek AI company accelerating AI adoption and incorporating novel NLP technologies
• Co-founder, PrimeHost AI, a startup building an AI superhost for short-term rentals
• Postdoctoral researcher, DaSciM, LIX, École Polytechnique, March-May 2019 (“Jeune Postdoc” scholarship)
• Ph.D. researcher, DaSciM, LIX, École Polytechnique, 2015-2019

Awards

• Best Paper Award, GREEN-AI Workshop @ ECML-PKDD 2026
• Best Paper Award, SemEval-2026 Task 6 @ ACL 2026
• Best Paper Award, TextGraphs Workshop @ NAACL 2018
• OpenAI Researcher Access Program credits, 2024
• Data science competitions: see the Competitions page

Research interests

• Natural Language Processing, Text Mining
• Machine Learning, Deep Learning
• Graph Mining, Network Science
• Big Data, Data Science
• Trustworthy and reliable models: robustness, reasoning, interpretability and explainability

Academic service

• 2026: Reviewer, ARR, ICLR, NeurIPS
• 2025: Area Chair, ARR; Reviewer, ICLR
• 2024: Reviewer, ARR
• 2019: Reviewer, LLD @ ICLR, NAACL
• 2018: Reviewer, NIPS, WWW, EMNLP, ECML-PKDD; Program Committee, Demonstration tracks of EMNLP 2018 and ECML-PKDD 2018
• 2017: Reviewer, AAAI, LLD @ NIPS, EMNLP
• 2016: Reviewer, AAAI, WSDM, IC²S²

Publications

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis, George Dasoulas, Michael Keckeisen, Konstantinos Skianis, Sotirios Kotsopoulos, Francesca Dominici. GREEN-AI Workshop @ ECML-PKDD 2026. Best Paper Award.

CSE-UOI at SemEval-2026 Task 6: A Two-Stage Heterogeneous Ensemble with Deliberative Complexity Gating for Political Evasion Detection

Christos Tzouvaras, Konstantinos Skianis, Athanasios Voulodimos. SemEval-2026 Task 6 @ ACL 2026. Best Paper Award.

GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek

Yang Zhang, Mersin Konomi, Christos Xypolopoulos, Konstantinos Divriotis, Konstantinos Skianis, Giannis Nikolentzos, Giorgos Stamou, Guokan Shang, Michalis Vazirgiannis. Findings of ACL 2026.

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets

Giannis Nikolentzos, Konstantinos Skianis. ICLR 2026.

A Greek Government Decisions Dataset for Public-Sector Analysis and Insight

Giorgios Antoniou, Giorgos Filandrianos, Angelos Vlachos, Lampros Kollimenos, Konstantinos Skianis, Giorgos Stamou, Michalis Vazirgiannis. arXiv preprint 2025.

Kgrag-ex: Explainable retrieval-augmented generation with knowledge graph-based perturbations

Georgios Balanos, Evangelos Chasanis, Konstantinos Skianis, Evaggelia Pitoura. IJCKG 2025.

Leveraging LLMs for Translating and Classifying Mental Health Data

Konstantinos Skianis, A Seza Doğruöz, John Pavlopoulos. MRL @ EMNLP 2024.

Graph Reasoning with Large Language Models via Pseudo-code Prompting

Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis. arXiv preprint 2024.

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks

Jhony Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos Malliaros. CIKM 2023.

SWIRL: Statistical downscaling for Wind Pattern Reconstruction using Machine Learning

Konstantinos Skianis, Anastasios Giannopoulos, Sotiris Spantideas, Maria Hatzaki, Aikaterini Karditsa, Panagiotis Trakadas. CEST 2023.

Digital Twin for Automated Industrial Optimization: Intelligent Machine Selection via Process Modelling

Konstantinos Skianis, Anastasios Giannopoulos, Alexandros Kalafatelis, Panagiotis Trakadas. IAICT 2023.

Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks

Konstantinos Skianis, Giannis Nikolentzos, Benoit Gallix, Rodolphe Thiebaut, Georgios Exarchakis. Scientific Reports 2023.

Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers

Konstantinos Katserelis, Konstantinos Skianis. arXiv preprint 2022.

Moderate COVID-19: Clinical Trajectories and Predictors of Progression and Outcomes

Apostolos G. Pappas, Andreas Panagopoulos, Artemis Rodopoulou, Michaella Alexandrou, Anna-Louiza Chaliasou, Konstantinos Skianis, Eleftheria Kranidioti, Eleftheria Chaini, Ilias Papanikolaou, Ioannis Kalomenidis. Journal of Personalized Medicine 2022.

Evaluation of Machine Translation Methods applied to Medical Terminologies

Konstantinos Skianis, Florent Desgrippes, Yann Briand. LOUHI @ EMNLP 2020.

Boosting Tricks for Word Mover’s Distance

Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis. ICANN 2020.

Evaluation of Greek Word Embeddings

Stamatis Outsios, Christos Karatsalos, Konstantinos Skianis, Michalis Vazirgiannis. LREC 2020.

Rep the Set: Neural Networks for Learning Set Representations

Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis. AISTATS 2020.

GraKeL: A Graph Kernel Library in Python

Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis. JMLR 2020.

Scientometrics for Success and Influence in the Microsoft Academic Graph

George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis. Complex Networks 2019.

Word Embeddings from Large-scale Greek Web Content

Stamatis Outsios, Konstantinos Skianis, Polykarpos Meladianos, Christos Xypolopoulos, Michalis Vazirgiannis. arXiv preprint 2018.

Orthogonal Matching Pursuit for Text Classification

Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis. W-NUT @ EMNLP 2018.

Kernel Graph Convolutional Neural Networks

Giannis Nikolentzos, Polykarpos Meladianos, Antoine J.-P. Tixier, Konstantinos Skianis, Michalis Vazirgiannis. ICANN 2018.

Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification

Konstantinos Skianis, Fragkiskos Malliaros, Michalis Vazirgiannis. TextGraphs @ NAACL 2018. Best Paper Award.

Data Management for the World Wealth & Income Database

Christos Giatsidis, Antonis Skandalis, Konstantinos Skianis, Michalis Vazirgiannis, Facundo Alvaredo, Lucas Chancel, Thomas Piketty, Emmanuel Saez, Gabriel Zucman, Ben Grillet, Francois Prosper, Brice Terdjman, Anthony Veyssiere. ParisBD 2017.

SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks

Konstantinos Skianis, Maria Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis. ICDM 2016 (Demo).

Regularizing Text Categorization with Clusters of Words

Konstantinos Skianis, Francois Rousseau, Michalis Vazirgiannis. EMNLP 2016.

GoWvis: A web application for Graph-of-Words-based text visualization and summarization

Antoine J.-P. Tixier, Konstantinos Skianis, Michalis Vazirgiannis. ACL 2016 (Demo).

Graph-Based Term Weighting for Text Categorization

Fragkiskos Malliaros, Konstantinos Skianis. SoMeRiS @ ASONAM 2015.

Talks

Using Large Language Models Critically and Effectively as a Soft Skill

May 25, 2025

Talk at University of Ioannina, Ioannina, Greece

Large Language Models for Greek

November 03, 2023

Talk at Department of Computer Science and Engineering, University of Ioannina, Ioannina, Greece

A Machine Translation Pipeline for Medical Terminologies

October 26, 2022

Novel Representations, Regularization & Distances for Text Classification (Ph.D. defense)

March 01, 2019

Ph.D. defense at École Polytechnique, Palaiseau, France

Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification

June 06, 2018

Workshop talk at TextGraphs-12 Workshop, NAACL 2018, New Orleans, LA, USA

An Introduction to Deep Learning for NLP

June 15, 2017

The Question-Answering and Chatbot Challenges

January 27, 2017

Graph-Based Term Weighting for Text Categorization

August 25, 2015

Workshop talk at SoMeRiS Workshop, ASONAM 2015, Paris, France

Teaching

Linear Algebra

Data Mining and Science

Learning for Text and Graph Data (Labs)