Pre-Enrollment

8th September 2026

Final Paper Submission

13th September 2026

Registration Deadline

23rd September`2026

Conference Date

8th Oct - 9th Oct 2026

Call for Papers

The International Conference on Blockchain Technologies and Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Blockchain Technology Applications In Ml
02
Data Integrity In Blockchain Systems
03
Smart Contracts And Machine Learning
04
Decentralized Data Sharing With Blockchain
05
Security Challenges In Blockchain Technologies
06
Machine Learning For Cryptocurrency Analysis
07
Blockchain For Supply Chain Management
08
Scalability Issues In Blockchain Networks
09
Interoperability Of Blockchain Systems
10
Machine Learning For Fraud Detection
11
Blockchain For Identity Management
12
Data Privacy In Blockchain Applications
13
Future Trends In Blockchain Technology
14
Blockchain For Iot Security
15
Machine Learning For Decentralized Finance
16
Consensus Algorithms In Blockchain Systems
17
Blockchain-based Data Marketplaces
18
Ethical Considerations In Blockchain Use
19
Machine Learning For Voting Systems
20
Collaborative Blockchain Networks
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review