FUZZ-IEEE 2027 — IEEE International Conference on Fuzzy Systems

FUZZ-IEEE 2027, the IEEE International Conference on Fuzzy Systems, takes place 10–13 July 2027 in Sydney, Australia, with general chairs Jie Lu and Chin-Teng Lin of the University of Technology Sydney. It is a premier conference for fuzzy systems and computational intelligence, and describes itself as a unique meeting point for scientists and engineers from academia and industry to discuss the latest advances in the field. The 2027 call spans fuzzy machine learning, fuzzy logic fundamentals, trustworthy AI and explainable AI, human-computer interaction, image and speech processing, systems design, data analysis, optimisation and cybersecurity applications. Special session proposals are due 1 November 2026, papers on 15 January 2027 and camera-ready versions on 1 May 2027. The venue within Sydney has not yet been announced.

• Special session proposal deadlineNov 1, 2026
• Special session acceptance notificationDec 1, 2026
• Paper submission deadlineJan 15, 2027
• Notification to authorsApr 1, 2027
• Camera-ready deadlineMay 1, 2027

Date

July 10–13, 2027

Location

Sydney, Australia

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

IEEE Computational Intelligence Society

Added

Sep 13, 2026

Updated

Sep 13, 2026

• ✓Computational intelligence researchers
• ✓Explainable-AI and model-risk practitioners
• ✓Control and systems engineers
• ✓Data scientists
• ✓Heads of AI in regulated industries
• ✓PhD students

Fuzzy systems are among the longest-established interpretable AI methods, and FUZZ-IEEE is where their modern forms, including fuzzy machine learning, are published. For a CIO or head of AI in a regulated industry facing explainability requirements, the explicit trustworthy and explainable AI topics make it a practical place to find methods that produce human-readable decision rules. It is also a place to meet the academic groups behind them for partnerships and to recruit specialist PhD talent in Sydney.

• ✓Fuzzy machine learning
• ✓Trustworthy AI and explainable AI
• ✓Fuzzy logic fundamentals
• ✓Image and speech processing
• ✓Human-computer interaction
• ✓Data analysis and optimisation
• ✓Cybersecurity applications
• ✓Special sessions (proposals due 1 November 2026)

• ★The main IEEE venue for fuzzy logic, an interpretable, rule-based strand of AI
• ★The 2027 call explicitly lists trustworthy AI and explainable AI as topics
• ★Both general chairs, Jie Lu and Chin-Teng Lin, are from the University of Technology Sydney
• ★Topic list goes well beyond fuzzy theory into image and speech processing, HCI, data analysis, optimisation and cybersecurity
• ★Special sessions are proposed and accepted months ahead (1 November and 1 December 2026), so the programme's shape is visible early

Registration fees for FUZZ-IEEE 2027 are not yet published on the official site.

When is FUZZ-IEEE 2027?

FUZZ-IEEE 2027 takes place July 10–13, 2027 in Sydney, Australia.

Where is FUZZ-IEEE 2027 held?

FUZZ-IEEE 2027 is held in Sydney, Australia. The event format is in-person.

What is the FUZZ-IEEE 2027 submission deadline?

The next FUZZ-IEEE 2027 deadline is special session proposal deadline on Nov 1, 2026. Remaining dates: Special session acceptance notification — Dec 1, 2026; Paper submission deadline — Jan 15, 2027; Notification to authors — Apr 1, 2027; Camera-ready deadline — May 1, 2027.

How much does FUZZ-IEEE 2027 cost?

FUZZ-IEEE 2027 is paid. Registration fees for FUZZ-IEEE 2027 are not yet published on the official site.

Who should attend FUZZ-IEEE 2027?

FUZZ-IEEE 2027 is aimed at Computational intelligence researchers, Explainable-AI and model-risk practitioners, Control and systems engineers, Data scientists, Heads of AI in regulated industries, PhD students.

What topics does FUZZ-IEEE 2027 cover?

FUZZ-IEEE 2027 covers Fuzzy systems, Fuzzy machine learning, Explainable AI, Trustworthy AI, Data analysis, Optimisation, Cybersecurity applications of AI.

This page was written from 3 sources, 2 on domains other than attend.ieee.org.

1. 1.attend.ieee.org — fuzz 2027vendor
2. 2.cs.utep.edu — travel
3. 3.clocate.com — b3ItMTgreXI=