Hybrid Conferencee

International Conference on Chemical Engineering Analytics and Data Mining (I2CEADM - 26)

7th - 8th July 2026 | Singapore, Singapore
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Singapore. 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 Singapore 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 Singapore conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Singapore, 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 Singapore."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The I2CEADM 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 Mining, 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
Data mining applications in chemical engineering
02
Predictive analytics for chemical processes
03
Machine learning in process optimization
04
Data-driven safety assessments in chemicals
05
Chemical data visualization techniques
06
Big data challenges in chemical engineering
07
Data mining for material discovery
08
AI applications in chemical manufacturing
09
Sustainability metrics in chemical processes
10
Data-driven innovations in pharmaceuticals
11
Real-time monitoring in chemical plants
12
Data mining for environmental compliance
13
Machine learning for reaction engineering
14
Data analytics in petrochemical industries
15
Integration of IoT in chemical engineering
16
Data-driven decision making in chemistry
17
Case studies of successful chemical analytics
18
Data mining for product formulation
19
Ethics in chemical engineering data usage
20
Future trends in chemical engineering analytics