APANConf 2025

International Conference on AI & HPC

Join leading researchers, practitioners, and innovators in exploring the convergence of Artificial Intelligence and High Performance Computing. Submit your original research and be part of shaping the future of technology.

March 15–17, 2025
Virtual & Hybrid
Submit Your Paper View Guidelines
500+
Participants
50+
Research Papers
25+
Countries
15+
Keynotes

Call for Papers

Original contributions are sought in topics under the theme: Artificial Intelligence (AI) and High Performance Computing (HPC)

Research Topics

Topics may include but not be limited to:

AI in Modeling and Simulation

Advanced computational modeling techniques

AI and Policies

Governance and regulatory frameworks

AI in Scheduling and Optimization

Resource allocation and optimization

Automotive Control Systems

Intelligent vehicle systems

Biological/Molecular Computing

Bio-inspired computing systems

Cloud Computing

Distributed cloud architectures

Collaborative Environments

Multi-agent systems and collaboration

Computer Communication Networks

Network protocols and architectures

Computer Vision

Image processing and recognition

Data Mining

Knowledge discovery techniques

Data Science

Analytics and big data processing

Database Applications

Advanced database systems

Distributed Systems and Applications

Scalable distributed computing

Embedded Systems

IoT and edge computing

Ethics and Policies of AI

Responsible AI development

Full Papers

12–15+ pages of original research following LNCS format

Learn More

Short Papers

6–8 pages for work in progress and innovative ideas

Learn More

Poster Presentations

Visual presentations of research findings and demonstrations

Learn More

Conference Publication

Your research will be published with prestigious academic publishers

Springer CCIS book series covers on bookshelf

Springer CCIS

Communications in Computer and Information Science

The Conference Proceedings are to be published with Springer in their Communications in Computer and Information Science (CCIS) series (final approval pending), similar to the proceedings of APANConf 2023 and APANConf 2024.

Indexed Publication

All papers indexed in major academic databases

Peer Review Process

Rigorous double-blind peer review by experts

Global Distribution

Worldwide accessibility through Springer platform

DOI Assignment

Each paper receives a unique Digital Object Identifier

95%
Acceptance Rate
2–3 weeks
Review Time

Guidelines and Instructions

Follow these guidelines to ensure your submission meets all requirements

Submission Requirements

Manuscripts should be submitted as a single PDF (Full papers: 12–15+ Pages), following LNCS format through EDAS at https://edas.info/N33622

Submit via EDAS

Format Requirements

  • LNCS Springer format mandatory
  • Single column layout
  • 10pt font size minimum
  • A4 page size

Content Guidelines

  • Original unpublished work
  • Clear abstract (150–250 words)
  • 5–7 keywords included
  • Proper citations and references

Review Process

  • Double-blind peer review
  • Minimum 3 reviewers per paper
  • Notification within 4 weeks
  • Revision period: 2 weeks

Important Notes

  • • All submissions must be in English
  • • Plagiarism check will be conducted
  • • At least one author must register
  • • Camera-ready must include reviewer feedback

Download Templates

LaTeX Template Word Template Guidelines PDF

Need Help?

Our support team is here to help you.

support@conference.com +1 (555) 123-4567

Important Dates

Mark your calendar with these critical deadlines for the conference

Submission Deadline

January 15, 2025

Final deadline for submitting full papers through EDAS system. No extensions will be granted.

23:59 AoE Anywhere on Earth
Notification Date

February 10, 2025

Authors will be notified about acceptance status and reviewer feedback via email.

Email Check your inbox
Camera-Ready Submission

February 25, 2025

Submit final camera-ready version incorporating all reviewer comments and suggestions.

Final Version No further changes
Registration Deadline

March 1, 2025

Early bird registration closes. At least one author must register for paper to be published.

Required For publication
Conference Dates

March 15-17, 2025

Three days of inspiring talks, workshops, and networking opportunities

Register Now
45
Days Until Submission
71
Days Until Notification
86
Days Until Camera-Ready
90
Days Until Conference

Conference Line-up

Detailed schedule of events, sessions, and activities across three days

Time Session / Activity
08:00 - 09:00
60 minutes

Registration & Welcome Coffee

Check-in, collect materials, and network over refreshments
09:00 - 09:30
30 minutes

Opening Ceremony

Welcome address by conference chairs and distinguished guests

Keynote Speakers

Learn from world-renowned experts and thought leaders in AI and HPC

Professional female scientist in modern tech lab, AI researcher, portrait photography

Dr. Sarah Mitchell

Professor of Computer Science, MIT

Day 1

The Future of AI in High Performance Computing

Dr. Mitchell will explore the convergence of artificial intelligence and supercomputing capabilities, discussing breakthrough innovations in neural architecture search, automated machine learning, and the role of quantum computing in advancing AI research. Her presentation will cover real-world applications in climate modeling, drug discovery, and materials science.

Expertise
Machine Learning, HPC
Research Focus
AI Optimization
Deep Learning Neural Networks Supercomputing Quantum ML
Professional male professor in university setting, AI ethics expert, portrait photography

Prof. James Chen

Director, Stanford AI Ethics Lab

Day 1

Ethics and Policies in AI Development

Professor Chen will address critical ethical considerations and policy frameworks necessary for responsible AI development. His talk will cover algorithmic bias, transparency in AI systems, privacy concerns in machine learning, and the development of international standards for AI governance. He'll share insights from his work with policymakers and industry leaders.

Expertise
AI Ethics, Policy
Research Focus
Responsible AI
AI Ethics Policy Framework Governance Bias Mitigation
Professional female data scientist working with visualization, tech industry leader, portrait photography

Dr. Maria Rodriguez

Chief Data Scientist, Google AI

Day 2

Scaling AI: From Research to Production

Dr. Rodriguez will share insights from deploying large-scale AI systems at Google, covering infrastructure challenges, model optimization techniques, and best practices for production ML systems. Her presentation will include case studies from Google's AI initiatives and lessons learned from scaling models to billions of users.

Expertise
Data Science, MLOps
Research Focus
Production ML
MLOps Scalability Infrastructure Model Optimization

Conference Chairs

Meet the distinguished academics and industry leaders organizing this conference

Prof. David Thompson

Prof. David Thompson

General Chair

Carnegie Mellon University

Leading expert in distributed systems and cloud computing with over 25 years of research experience. Former director of NSF Computer Systems Research.

Distributed Systems Cloud Computing
Prof. Lisa Wang

Prof. Lisa Wang

General Co-Chair

UC Berkeley

Pioneer in neural network architectures and deep learning optimization. Recipient of the ACM Grace Murray Hopper Award for contributions to AI.

Deep Learning Neural Networks
Dr. Michael Anderson

Dr. Michael Anderson

General Co-Chair

Oxford University

Renowned for work in high-performance computing architectures and parallel algorithms. Lead architect of several European supercomputing initiatives.

HPC Parallel Computing

Organizers & Partners

In collaboration with leading academic institutions and industry partners

MIT university logo
Stanford university logo
Oxford university logo
Carnegie Mellon university logo

For Queries on APAN58 Conference

Have questions? Our team is here to help you with any inquiries about the conference

Email Us
+1 (555) 123-4567
Virtual & Hybrid Event