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ICAD 2025

Jun 24, 2025 | Massachusetts, USA

Jun24

2025 IEEE International Conference on AI and Data Analytics
ieee-icad.org

When:

About the Event

ICAD 2025, hosted by IEEE and Tufts University School of Engineering, is a new international forum spotlighting cutting-edge applications of AI and data analytics across industries. This single-day conference gathers academic leaders, industry experts, and rising technologists to explore foundational models, generative AI, and responsible deployment practices. Held at Tufts University’s Graduate Engineering campus in Medford, Massachusetts, ICAD offers attendees a blend of high-impact keynotes, research sessions, workshops, and real-world case studies.

Designed as both a technical and community-building event, ICAD 2025 aims to equip participants with future-forward insights, practical skills, and networking opportunities within the fast-evolving AI ecosystem.

Why Attend

  • Develop insights from top AI researchers and industry leaders
  • Explore real-world use cases in healthcare, aerospace, and robotics
  • Join workshops on interpretable models and responsible AI
  • Connect with IEEE members and AI-focused startups
  • Access exclusive exhibition showcases and networking events

Key Focus Areas

Foundation Models and Generative AI

Deep dive into capabilities and challenges of large-scale multimodal models

Ethical and Responsible AI

Focus on mental health, explainability, and emotion recognition

Domain-Specific Innovation

Explore AI use cases in space technology, industrial automation, and public health

Education and Workforce

Empower the next generation through workshops, panels, and IEEE engagement

Who Should Attend

  • Academic researchers in AI and data science
  • Industry professionals applying AI in engineering, healthcare, or defense
  • Graduate students seeking research exposure and networking
  • IEEE members and STEM educators supporting AI curriculum

Notable Speakers Include

  • Matthias Scheutz – Professor, Tufts University; expert in foundation models and human-robot interaction
  • Sadid Hasan – AI Lead at Microsoft, M365 and Azure AIOps
  • Dr. Mark Maybury – VP of Commercialization at Lockheed Martin; former Chief Scientist of the U.S. Air Force

If you’re interested in other IEEE-affiliated gatherings, read about DSC Next 2026, focused on scalable infrastructure for enterprise AI.

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