Periklis Mantenoglou
Postdoctoral Researcher
           

About Me


I am a postdoctoral researcher in artificial intelligence with a background in electrical and computer engineering. I am currently working with the Machine Perception and Interaction Lab at Örebro University in Sweden. My research involves logic, neuro-symbolic AI, stream reasoning, probabilistic inference, planning and composite event recognition.

News


Accepted paper at ECAI 2025: Sequencing in the Run-time Event Calculus

Upcoming tutorial at ECAI 2025: Making Sense of Streaming Data View

Accepted paper at EDBT 2025: Generating Activity Definitions with Large Language Models View

Accepted paper at AAAI 2025: Temporal Specification Optimisation for the Event Calculus View

Selected Publications


Periklis Mantenoglou, Alexander Artikis: Sequencing in the Run-Time Event Calculus.
In European Conference on Artificial Intelligence (ECAI). 2025.

Andreas Kouvaras, Periklis Mantenoglou, Alexander Artikis: Generating Activity Definitions with Large Language Models.
In International Conference on Extending Database Technologies (EDBT). 2025. PDF Code BibTeX DOI

Periklis Mantenoglou, Alexander Artikis: Temporal Specification Optimisation for the Event Calculus.
In AAAI Conference on Artificial Intelligence (AAAI). 2025. PDF Slides Video Poster Code

Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras: Online Event Recognition over Noisy Data Streams.
In International Journal of Approximate Reasoning (IJAR). 161(108993):1–30, 2023. PDF Code BibTeX DOI

Periklis Mantenoglou, Dimitrios Kelesis, Alexander Artikis: Complex Event Recognition with Allen Relations.
In International Conference on Principles of Knowledge Representation and Reasoning (KR). 502–511, 2023. PDF Slides Code BibTeX DOI

Click here for the complete list

Talks


2025

Temporal Specification Optimisation for the Event Calculus
In 39th Annual AAAI Conference on Artificial Intelligence (AAAI). Paper Presentation. Slides

2024

Can computers understand what is happening? An introduction to complex event recognition.
In 5th ACM Europe Summer School on Data Science. Course by Alexander Artikis, Periklis Mantenoglou. Slides

2023

Stream Reasoning with the Run-Time Event Calculus.
In University of Oslo. Invited Talk. Slides

Probabilistic Interval-based Event Recognition
In Norwegian Computing Center. Invited Talk. Slides

2022

Online Reasoning under Uncertainty with the Event Calculus.
In 9th Workshop on Probabilistic Logic Programming (PLP). Invited Talk by Alexander Artikis, Periklis Mantenoglou. Slides

2021

Stream Reasoning with the Run-Time Event Calculus
In Ludwig Maximilian University of Munich. Invited Talk by Periklis Mantenoglou, Alexander Artikis Slides

Click here for the complete list

R&D Projects


CREXDATA: Critical Action Planning over Extreme-Scale Data, 2023–2024. View

ENEXA: Efficient Explainable Learning on Knowledge Graphs, 2023. View

INFORE: Interactive Extreme-Scale Analytics and Forecasting, 2019–2022. View

Teaching Assistant


2023

Undergraduate Course on Logic Programming. View

2022

Undergraduate Course on Logic Programming. View

Undergraduate Course on Principles of Programming Languages. View

2021

Undergraduate Course on Logic Programming. View

Undergraduate Course on Object-Oriented Programming. View

2020

Undergraduate Course on Data Structures. View

PC Participation


AAAI-2026: AAAI Conference on Artificial Intelligence, 2026 View

ECAI-2025: European Conference on Artificial Intelligence, 2025 View

KR-2025: International Conference on Principles of Knowledge Representation and Reasoning, 2025 View

TIME-2025: International Symposium on Temporal Representation and Reasoning, 2025 View

Courses & Seminars I Attended


ESSAI & ACAI: 2nd European Summer School on AI & 21st Advanced Course on AI, 2024. View

Prometheus: An Innovative Tech Transfer Program in Greece, 2021.

Scholarships


Hellenic Foundation for Research & Innovation: Scholarship for PhD Candidates, 2022–2024.

Open-Source Software


I am maintaining the following software:

oPIEC: an implementation of the Event Calculus for reasoning over noisy data streams.

RTEC: an Event Calculus dialect optimised for data stream reasoning.

SimLP: a similarity metric for logic programs.

LexiCon: a benchmark for planning under temporal constraints in natural language.

Get in Touch