The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Automated Planning and Scheduling
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Automated Planning and Scheduling.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Automated Planning and Scheduling.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Automated Planning and Scheduling are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
20. International Conference on Automated Planning and Scheduling has teamed up with the Special Journal Issue on
Automated Planning and Scheduling.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Artificial Intelligence in Management Simulators
Nuno Biga
-
Preliminary Study of Hand Gesture Classification in Upper-Limb Prosthetics Using Machine Learning with Electromyographic Signals
Linghui “Jeff” Meng, James Atlas, Deborah Munro
-
Unsupervised Echocardiogram View Detection via Autoencoder-Based Representation Learning
Andrea Treviño Gavito, Diego Klabjan, Sanjiv J. Shah
-
A Fine-Grained Scheduling Algorithm for Heterogeneous Supercomputing Clusters Based on Graph Convolutional Networks and Proximal Policy Optimization
Jiahao Zhou, Lei Wang
-
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
-
Using Historical Data for Stock Prediction of a Tech Company
Sofia Stoica
-
Identifying Autism Spectrum Disorder Using Optimization-Based Clustering
Sharifah Mousli, Sona Taheri, Jiayuan He
-
Climate Change in Albania and Its Effect on Cereal Yield
L. Basha, E. Gjika
-
PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System
Ioannis Andrianakis, Vasileios Gkatas, Nikos Eleftheriadis, Alexios Ellinidis, Ermioni Avramidou
-
AI-Driven Cloud Security: Proactive Defense Against Evolving Cyber Threats
Ashly Joseph
-
Case-Based Reasoning Application to Predict Geological Features at Site C Dam Construction Project
S. Behnam Malekzadeh, I. Kerr, T. Kaempffer, T. Harper, A Watson
-
A Text Classification Approach Based on Natural Language Processing and Machine Learning Techniques
Rim Messaoudi, Nogaye-Gueye Gning, François Azelart
-
Safe and Efficient Deep Reinforcement Learning Control Model: A Hydroponics Case Study
Almutasim Billa A. Alanazi, Hal S. Tharp
-
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
-
Metrology-Inspired Methods to Assess the Biases of Artificial Intelligence Systems
Belkacem Laimouche
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
anytime planning and scheduling
applications and case studies fielding planning and scheduling
complexity analysis for planning and scheduling
conformant/contingent planning
constraint reasoning and OR for planning and scheduling
deductive planning
distributed and multi-agent planning and scheduling
domain analysis for planning and scheduling
domain-independent classical planning
dynamic planning and scheduling
hierarchical task network planning
knowledge acquisition and engineering for planning and scheduling
machine learning for planning and scheduling
methodologies and tools for specification, design, implementation and validation of planning and scheduling systems
mixed-initiative planning and scheduling
model-based reasoning for planning and scheduling
plan and schedule execution, monitoring and repair
plan recognition
planning and scheduling under uncertainty
planning as model checking
planning with resources and time constraints
real-time planning and scheduling
reasoning about actions
robot planning
search for planning and scheduling
visualization of plans and schedules
| Abstracts/Full-Text Paper Submission Deadline |
|
July 01, 2025 |
| Notification of Acceptance/Rejection |
|
July 15, 2025 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 24, 2026 |
| Conference Dates |
|
April 13-14, 2026 |
