[CFP] CASCON 2025 - Upcoming Deadlines for Technical-Track, Tutorials and Workshops (Abstract: June 2nd)
Diego Elias Costa
Links to Tracks and Submission Deadlines
For further details on tracks and guidelines, please refer to the respective links below:
Technical Paper
https://cascon.ca/tracks/research
Technical paper abstract submission: Jun 2, 2025
Full technical paper submission: Jun 9, 2025
Acceptance notification: Aug 11, 2025
Technical paper presentation dates: Nov 10-13, 2025
Tutorial Proposal
https://cascon.ca/tracks/tutorials
Tutorial abstract submission: June 2, 2025
Full proposal submission: June 9, 2025
Acceptance notification: June 30, 2025
Tutorial dates: Nov 10-13, 2025
Workshop Proposal
https://cascon.ca/tracks/workshops
Proposal abstract submission deadline: June 2, 2025
Proposal full submission deadline: June 9, 2025
Acceptance notification: June 30, 2025
Workshop dates: Nov 10-13, 2025
Poster Proposal
https://cascon.ca/tracks/posters
Poster abstract submission: August 18, 2025
Full poster proposal submission: August 25, 2025
Acceptance notification: September 22, 2025
Poster session dates: Nov 10-13, 2025
Artifact Evaluation
https://cascon.ca/tracks/artifacts
Artifact paper abstract: Aug 18, 2025
Full artifact paper submission: Aug 25, 2025
Acceptance notification: Sep 29, 2025
Technical paper presentation dates: Nov 10-13, 2025
About CASCON
CASCON is a premier academic and industrial conference where attendees can explore cutting-edge research, trailblazing practices, and collaboration opportunities in software and computing. CASCON 2025 will be held at York University's Keele campus, which is centrally located in the Greater Toronto Area, Ontario, Canada. The conference will feature world-class keynote speakers, inspiring technical paper presentations, stimulating panels, workforce-building tutorials, community-building workshops, dynamic poster sessions, and terrific networking opportunities. CASCON is now co-sponsored by IEEE Computer Society and CS-CAN/INFO-CAN, and the proceedings will be published in IEEE Xplore.
Call for Contributions
We invite you to contribute original, unpublished, high-quality manuscripts for the technical paper track. We also invite proposals for workforce-building tutorials, community-building workshops, innovative posters, and stimulating panels accessible to a broad and diverse audience of software practitioners, developers, researchers, industry leaders, and policymakers. We encourage contributions with a mix of authors from industry, academia, and government offering innovative solutions and real-world insights.
Submissions should address challenges and opportunities spanning the full spectrum of computing and software, including but not limited to:
Emerging Software Systems & Architectures
Generative Artificial Intelligence (AI) & Large Language Models (LLMs): Exploring prompt engineering, retrieval augmented generation (RAG) techniques, and novel applications of AI.
Cloud, Edge, Accelerated Computing: Advances in cloud-native architectures, microservices, and serverless paradigms, especially in modern accelerated and heterogeneous hardware architectures like GPU, NPU, and DPU.
Big Data & Real-Time Analytics: Next-generation platforms for processing and deriving insights from massive and/or real-time datasets.
Autonomous and Adaptive Systems: Digital twins, self-healing networks, and systems that learn and evolve in real time and over extended periods.
Software-Enabled Healthcare & Bioinformatics: AI-driven diagnostics, remote monitoring, and personalized medicine applications.
Internet of Things (IoT) & Cyber-Physical Systems (CPS): Smart cities, Industry 4.0 innovations, and connected ecosystems.
Quantum Computing: Hybrid quantum-classical approaches, distributed quantum computing, quantum software engineering, quantum algorithms, and practical quantum development.
Trustworthy & Transparent AI Systems: Ensuring robustness, explainability, fairness, and accountability in AI-driven systems.
Novel Programming Models for Data-Oriented Accelerated Computing: Emerging programming models to cope with the end of Moore's Law as well as high-performance computing in the context of embedded, AI and classic scientific computing.
Evolving Software Engineering Practices
AI-Driven Development: Generative AI, automated code generation, intelligent debugging, and machine learning-powered quality assurance.
Agentic Software & Intelligent Agents: Investigations into self-governing, context-aware software that autonomously adapts to changing environments and user needs.
Modern DevOps & Continuous Delivery: Innovations in microservices, containerization, and rapid deployment strategies, genAI-driven and agent-driven automation and toolchains.
Software Analytics: Mining software repositories, software supply chains, and data-driven decision-making in software engineering.
Secure Software Lifecycle: Integrating security best practices into agile and DevOps pipelines, including zero trust architectures.
Innovations in Compiler Design: Novel compiler optimizations, domain-specific languages, just-in-time compilation techniques, and tools that enhance developer productivity and system performance.
Compile-time and Run-time Software Quality Assurance: Software vulnerabilities, software testing, and verification.
Open Source Engineering: Innovation and policies to enable and nourish open source for large-scale projects and initiatives like open source LLMs as well as best practices for establishing open source program offices.
Innovations in AI
Next-Generation AI Techniques: Advances in deep learning, reinforcement learning, diffusion models, and beyond.
Explainable & Responsible AI: Research for ensuring transparency, ethical considerations, fairness, and societal accountability.
Federated and Edge AI: Distributed AI approaches that preserve data privacy while harnessing edge computing capabilities.
AI for Social Impact: Applications addressing environmental sustainability, disaster response, public health, and social equity.
Cybersecurity & Digital Privacy
Zero Trust Security Models: Novel frameworks and strategies for threat detection, intrusion prevention, and risk mitigation.
Privacy-Enhancing Technologies: Innovations in differential privacy, homomorphic encryption, and secure multi-party computation.
Blockchain & Decentralized Systems: Emerging trends in decentralized finance (DeFi), trustless systems, and secure distributed ledgers.
Human-Computer Interaction (HCI) & Immersive Experiences
Immersive & Extended Reality: Advances in augmented reality (AR), virtual reality (VR), and mixed reality for next-gen user experiences.
Next-Gen User Interfaces: Designing intuitive, multimodal interfaces for smart devices, wearables, and mobile ecosystems.
Digital Collaboration & Social Media Analytics: Enhancing interaction and productivity in hybrid work environments, enhancing understanding of online engagement.
Sustainable and Responsible Computing
Green Computing & Sustainability: Energy-efficient algorithms, sustainable system designs, and eco-friendly computing practices.
Responsible AI: low resource models, energy-efficient training strategies and practices that reduce the energy footprint of Foundation Models like Large Language Models (LLMs).
Digital Transformation for Smart Ecosystems: Leveraging technology to build sustainable smart cities and transformative digital platforms.
Submission Types
CASCON 2025 calls for the following types of submissions:
Regular Papers: Novel and mature research work (up to 10 pages including references).
Short Papers: Work in progress with some validation results, experience reports, new ideas and visionary papers based on supporting theory or evidence, and application papers (up to 6 pages including references).
Applications/Industrial Papers: Practical case studies, benchmark tools, and empirical studies addressing real-world industrial challenges (up to 6 pages, including references).
Artifacts Evaluation: Authors of regular, short papers and applications/industrial papers accepted for CASCON 2025 can submit an artifact for evaluation. If their corresponding artifacts meet certain conditions, papers will be given the IEEE Open Research Object or Research Object Reviewed badges. The papers will display the awarded badges to recognize their contributions to open science.
Posters: New ideas, experiences, ongoing results, and challenges in building Intelligent Systems and Software (up to 2 pages including references).
Workshops: Proposals for interactive sessions that provide a forum to present, discuss, and debate issues, problems, ideas, technology gaps, work-in-progress, and/or directions. The workshop format may include position papers, expert panels, and panel discussions. Workshops may be half-day or full-day.
Tutorials: These are proposals for interactive sessions that provide excellent opportunities for researchers, practitioners, and technology experts to offer lectures, demos and/or hands-on experience with state-of-the-art tools or emerging technologies, or deep dives into advanced research methodology or industrial best practices. Tutorials may be 1.5 hours, half-day or full-day.
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