Ilias Stogiannidis profile picture

Ilias Stogiannidis

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The University of Edinburgh

About Me

My name is Ilias (pronounced “ee-lee-ahs” or “ee-ly-ahs”), and I’m a PhD student at The University of Edinburgh. I’m part of the Vios Science Lab under the guidance of Prof. Sotos Tsaftaris and Dr. Steven McDonagh.

Before embarking on my PhD, I completed my MSc in Computer Science at Athens University of Economics and Business (AUEB). I was supervised by Prof. Ion Androutsopoulos. Furthermore, I had the opportunity to work as an Applied Machine Learning Researcher at helvia.ai, specializing in Natural Language Processing and Large Language Models.

I’m also an active member of the NLP Group at AUEB, where we conduct research in NLP and Machine Learning.

Current time in Edinburgh: --:--

Feel free to reach out to me if you are interested in collaborating or if you have any questions about my research!

Research Interests

🧠
Foundation Models Vision, Language, and Multimodal models
🕓
4D Reasoning Spatiotemporal understanding of the world
🔄
Self-Supervised Learning Representation learning without labels
🤖
Embodied AI & HRI Embodied agents and Human-Robot Interaction

News

Jul. 2026
Attending Greeks in AI in Athens (15-17 July).
Jun. 2026
Attending the HERON 1st Robotics School in Athens (29-30 June).
May 2026
PhenoAssistant has been accepted in Nature Communications.
May 2026
Our paper "Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models" has been accepted to MIDL (Medical Imaging with Deep Learning) 2026.
Mar. 2026
Attended the ELLIS Winter School on Foundation Models in Amsterdam.
Dec. 2024
Visiting AUEB (20th) to give a talk about pursuing a PhD abroad.
Aug. 2024
Started PhD at The University of Edinburgh.
Dec. 2023
MSc thesis available on NLP Group website.
Nov. 2023
Poster presentation at EMNLP 2023 (Singapore).
Oct. 2023
Thesis under final review.
Oct. 2023
LLM caching paper accepted to Findings of EMNLP 2023.

Experience & Education

🎓
2024 – Present

PhD Student

The University of Edinburgh

Researching spatial and temporal reasoning in foundational models, under Prof. Sotos Tsaftaris and Dr. Steven McDonagh.

🤖
2022 – 2024

Applied ML Researcher

helvia.ai

Specializing in Natural Language Processing and Large Language Models. Developed cost-aware teacher-student frameworks.

📜
2022 – 2023

MSc in Computer Science

Athens University of Economics and Business

Supervised by Prof. Ion Androutsopoulos. Active member of the NLP Group at AUEB.

Publications

Mind the Gap: Diagnosing Spatial Reasoning Failures in Multimodal Large Language Models thumbnail
Preprint
Mind the Gap: Diagnosing Spatial Reasoning Failures in Multimodal Large Language Models
Ilias Stogiannidis, Steven McDonagh, Sotirios A. Tsaftaris
Preprint, 2025.
PDF Code Project Page
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models thumbnail
EMNLP2023
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models
Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis, Ion Androutsopoulos
In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
PDF Code Project Page Poster Presentation
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Finance thumbnail
ICAIF2023
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Finance
Lefteris Loukas, Ilias Stogiannidis, Odysseas Diamantopoulos-Pantaleon, Stavros Vassos, Prodromos Malakasiotis
In Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF), New York, NY, USA, 2023.
PDF Project Page Oral Presentation
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance thumbnail
FINNLP2023
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas, Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis
In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting of the International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 2023.
PDF Oral Presentation