Hybrid Conferencee

International Conference on Feature Engineering in Engineering Datasets (ICFEED - 26)

3rd - 4th October 2026 | Luxembourg City, Luxembourg

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Luxembourg City. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Luxembourg City event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Luxembourg City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Luxembourg City, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Luxembourg City."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICFEED aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Feature engineering techniques for engineering datasets
02
Importance of feature selection in data science
03
Case studies of feature engineering in practice
04
Automated feature extraction methods
05
Challenges in high-dimensional feature spaces
06
Feature engineering for time series data
07
Applications of domain knowledge in feature design
08
Feature engineering for machine learning models
09
Visualization techniques for feature analysis
10
Impact of feature engineering on model performance
11
Future trends in feature engineering practices
12
User experience design for feature engineering tools
13
Ethical considerations in feature selection
14
Collaborative feature engineering approaches
15
Scalability issues in feature engineering
16
Integrating feature engineering with data pipelines
17
Data quality issues in feature engineering
18
Frameworks for evaluating feature importance
19
Real-time feature engineering for streaming data
20
Interdisciplinary approaches to feature engineering