ACM Irving Tech Talk April 2026 – Call for Speakers

Event Date: Saturday April 11 2026 

Event Time: 12 PM - 3PM CDT (10 AM - 1PM PST)

The ACM Irving Chapter invites researchers, engineers, architects, and technology leaders to submit session proposals for the ACM Irving Tech Talk 2026, a community-driven event focused on advancing knowledge in modern computing and software systems.

This Tech Talk aims to bring together professionals and academics to exchange ideas, share real-world experiences, and explore innovations shaping the future of technology. We welcome speakers from industry, academia, and the broader developer community. 

We welcome submissions on topics including, but not limited to, the following areas:

• Artificial Intelligence & Machine Learning - Advances in artificial intelligence and machine learning are transforming industries and enabling new classes of intelligent applications. Topics may include applied machine learning, generative AI systems, deep learning architectures, model training and deployment, AI platforms, reinforcement learning, AI safety, and practical applications of AI in production environments.
• AI Infrastructure & ML Systems - Engineering systems that support large-scale machine learning and AI workloads. Topics may include ML infrastructure design, distributed training systems, model serving architectures, MLOps practices, feature stores, experiment tracking, scalable inference systems, and operational challenges of deploying ML systems in real-world environments.
• Data Engineering & Data Platforms - Designing and operating scalable data systems that enable analytics and intelligent applications. Topics may include data pipelines, batch and streaming architectures, modern data stacks, data quality and reliability, data orchestration, lakehouse architectures, data governance, metadata management, and building resilient data platforms.
• Distributed Systems & Cloud Architecture - Architecting large-scale distributed systems that power modern applications and services. Topics may include microservices architecture, distributed coordination, resilience engineering, fault tolerance, scalability strategies, cloud-native system design, container orchestration, and multi-region or multi-cloud architectures.
• Real-Time Stream Processing - Technologies and architectures for processing data streams in real time. Topics may include event-driven systems, streaming analytics, real-time data pipelines, stateful stream processing, event sourcing, event streaming platforms, and applications of streaming systems in domains such as finance, media, and IoT.
• Knowledge Graphs & Metadata Intelligence - Design and applications of knowledge graphs and metadata-driven systems for organizing and discovering information. Topics may include graph-based data models, semantic technologies, data lineage, metadata platforms, entity resolution, graph analytics, and building intelligent data discovery and governance systems.
• Cybersecurity & Privacy Engineering - Engineering secure systems and protecting data in modern computing environments. Topics may include security architecture, privacy-preserving technologies, threat detection, identity and access management, secure data systems, compliance engineering, and approaches to integrating privacy and security into system design.
• Software Engineering & Developer Productivity - Advances in software engineering practices and tools that improve developer efficiency and software quality. Topics may include modern development workflows, testing strategies, engineering culture, code quality practices, large-scale software development, developer experience, and techniques for building reliable and maintainable systems.
• DevOps, Platform Engineering & Observability - Practices and tools that enable reliable software delivery and system operations. Topics may include continuous integration and deployment (CI/CD), platform engineering, infrastructure automation, service reliability engineering (SRE), observability frameworks, monitoring, logging, and incident management.
• Systems, Databases & Infrastructure - Innovations in the systems and infrastructure that power modern applications. Topics may include database systems, storage architectures, distributed databases, high-performance computing infrastructure, networking systems, performance optimization, and large-scale infrastructure management.
• Human-Centered Computing & Developer Experience - Designing systems and tools that prioritize usability, accessibility, and human interaction. Topics may include human-computer interaction, developer tooling, inclusive technology design, user-centered software development, collaboration tools, and improving the experience of engineers and technology users.
• Emerging Technologies - New and rapidly evolving technologies that are shaping the future of computing. Topics may include edge computing, quantum computing, extended reality (XR), Web3 technologies, autonomous systems, AI-assisted development, and other innovations that are redefining the boundaries of modern computing.

Sessions should emphasize practical insights, research contributions, lessons learned from real-world deployments, and emerging trends in computing.

The ACM Irving Tech Talk aims to foster knowledge sharing, professional growth, and collaboration within the global computing community.

Speakers will have the opportunity to present their work to a diverse audience of engineers, researchers, and technology leaders.