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 KR 2026: Efficient Temporal Datalog Materialisation for Composite Event Recognition View
Accepted paper at AAAI 2026: Two Constraint Compilation Methods for Lifted Planning View
Accepted paper at Journal of Artificial Intelligence Research: Reasoning over Streams of Events with Delayed Effects View
Accepted paper at NeurIPS 2025: LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language View
Accepted paper at ECAI 2025: Sequencing in the Run-time Event Calculus 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:
Efficient Temporal Datalog Materialisation for Composite Event Recognition.
In International Conference on Principles of Knowledge Representation and Reasoning (KR). 2026.
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Periklis Mantenoglou,
Luigi Bonassi,
Enrico Scala,
Pedro Zuidberg Dos Martires:
Two Constraint Compilation Methods for Lifted Planning.
In AAAI Conference on Artificial Intelligence (AAAI). 2026.
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Code
Periklis Mantenoglou,
Alexander Artikis:
Composite Event Recognition with Arbitrary Specifications.
In Information and Computation Journal. 307, 2025.
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Code
DOI
Periklis Mantenoglou,
Manolis Pitsikalis,
Alexander Artikis:
Reasoning over Streams of Events with Delayed Effects.
In Journal of Artificial Intelligence Research (JAIR). 84:1–37, 2025.
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Code
Periklis Mantenoglou,
Rishi Hazra,
Pedro Zuidberg Dos Martires,
Luc De Raedt:
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language.
In Annual Conference on Neural Information Processing Systems (NeurIPS). 2025.
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Code
Periklis Mantenoglou,
Alexander Artikis:
Sequencing in the Run-Time Event Calculus.
In European Conference on Artificial Intelligence (ECAI). 2025.
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Slides
Code
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.
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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.
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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.
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Slides
Code
BibTeX
DOI
Periklis Mantenoglou,
Manolis Pitsikalis,
Alexander Artikis:
Stream Reasoning with Cycles.
In International Conference on Principles of Knowledge Representation and Reasoning (KR). 533–553, 2022.
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Slides
Code
BibTeX
DOI
Talks
2026
NeuroSymbolic AI for Making Sense of Streaming Data
In 23rd International Conference on Principles of Knowledge Representation and Reasoning (KR). Tutorial
by
Alexander Artikis,
Periklis Mantenoglou.
Slides
2025
Making Sense of Streaming Data
In 28th European Conference on Artificial Intelligence (ECAI). Tutorial
by
Alexander Artikis,
Periklis Mantenoglou,
Manolis Pitsikalis
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
Teaching Experience
2026
Object-Oriented Programming. Contributing Lecturer. View
2025
Programming Fundamentals. Course Lecturer, Teaching Material Development, Examination Design and Grading. View
2023
Logic Programming. Project Evaluation. View
2022
Logic Programming. Project Evaluation. View
Principles of Programming Languages. Project Evaluation. View
2021
Logic Programming. Project Evaluation. View
Object-Oriented Programming. Project Evaluation, Oral Examiner. View
2020
Data Structures. Project Evaluation. View
Academic Service
Conference Program Committee Member
AAAI (2026-2027) View
KR (2025-2026) View
NeurIPS (2026) View
ECAI (2025) View
ISWC (2026) View
TIME (2025-2026) View
SETN (2026) View
Journal Reviewer
Theory and Practice of Logic Programming View
IEEE Systems Journal View
Journal of Machine Learning Research View
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.
LiftedTCORE: a lifted compiler for PDDL qualitative state constraints.