Call for Papers

Call for Research Papers

ACOMPA 2024 solicits high-quality papers in the following non-exhaustively populated themes. Please check ACOMPA'2024 submission guidelines out before submitting your papers.

We call for papers in two separate stages, giving you to more opportunities to submit your work. Authors whose paper(s) are accepted but located in distance might request to give an online presentation. There is no guarantee such a request will be approved by the organizing team. Please bear in mind that papers presented online are not considered for the post-conference publication, tentatively with Springer Nature of Computer Science.

Upcoming Important Dates Stage 1

Topics

Software Intelligence & Process Automation
Theme 1
  • Program Synthesis
  • Software Visualization
  • Blockchain-empowered Businesses
  • Process Mining
  • Wearable Computing in Healthcare information systems
  • Business Analytics, Contextual Analytics, Software Analytics and Process Analytics
  • Digital business, digital transformation and innovation
  • Social media, digital and mobile commerce
  • Dashboard Engineering
  • Robotic Process Automation
  • Digital Twins for the Energy Sector
  • Healthcare information systems
  • Digital Twin of Organizations
High Performance & Scientific Computing
Theme 2
  • Parallel and Distributed Algorithms
  • Load Balancing, Scheduling and Resource Management
  • Cluster, Cloud, and Grid Computing
  • Peer-to-peer Applications and Algorithms
  • Scalable Servers and Systems
  • High Performance/Scalable Storage Systems
  • Map-Reduce Architecture, Algorithms and Applications
  • Research Supporting Environments and Applications
  • Mathematical Modelling and Optimisation
  • Numerical Simulation and Control
  • Probabilistic and Statistical Modelling
  • Computational Science, including, but not limited to the following: Computational Biology, Computational Chemistry and Material Sciences, Computational Environment and Climate Changes, Computational Fluid Dynamics, Computational Geometry, Computational Mechanics
Hardware-enabled AI & Security
Theme 3
  • AI for System-on-chip and IC Design
  • Processing hardware accelerators-based SoC
  • Parallel deep learning neural network processing
  • Wearable Health Monitoring
  • Chip Security and Intelligent Sensors
  • Security Event Handling and Multiple Security Sensors
  • Computer Architecture, Simulation and Modeling
  • Mobile application processors
  • Sensor network systems and LSI
  • Energy harvesting systems
  • Low-power network systems and hardware design for low-power IoT systems
  • Data Analytics, Web-based and Mobile technologies for IoT
  • Autonomous Mobile and Intelligent Robots
Machine Learning
Theme 4
  • Imitation Learning
  • Learning to Rank
  • Meta-Learning
  • Multi-objective, Multiple-instance, Multi-task, Multi-strategy learning
  • Neuro-symbolic methods
  • Reinforcement learning and Relational learning
  • Self-supervised learning and Semi-supervised learning
  • Weakly-supervised learning
  • Large-language models and other foundation models
  • ML datasets and benchmarks
  • Knowledge refinement and theory revision
  • Trustworthy machine learning: Accountability, Explainability, Transparency, Causality, Fairness, Privacy, Robustness, AutoML
  • Applications: Bioinformatics, Biomedical informatics, Climate science, Collaborative filtering, Human activity recognition Information retrieval
conf@acompa.live

Conference Publication

ACOMPA 2023 Proceedings will be published by the Conference Publishing Services. All the presented papers are to be submitted to the IEEE Xplore and IEEE CS Digital Library. Post-conference publication opportunities include a special issue with Springer Nature of Computer Science. ACOMPA proceedings have been indexed by Scimago, Scopus Preview, DBLP and other major bibliography portals since 2015.