Pre-Enrollment

1st December 2026

Final Paper Submission

6th December 2026

Registration Deadline

16th December`2026

Conference Date

31st Dec 2026 - 1st Jan 2027

Call for Papers

The International Conference on Deep Learning and Data Science Techniques 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 Artificial Intelligence,Data Science,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
Deep Learning Techniques For Data Analysis
02
Applications Of Deep Learning In Industry
03
Neural Networks For Image Recognition Tasks
04
Deep Learning For Natural Language Processing
05
Challenges In Training Deep Learning Models
06
Transfer Learning In Deep Learning Applications
07
Deep Learning For Time Series Forecasting
08
Ethics Of Deep Learning Technologies
09
Deep Learning In Autonomous Systems
10
Real-time Applications Of Deep Learning
11
Deep Learning For Speech Recognition
12
Generative Models In Deep Learning
13
Deep Learning For Video Analysis
14
Scalability Of Deep Learning Models
15
Deep Learning Frameworks And Libraries
16
Interdisciplinary Applications Of Deep Learning
17
Deep Learning For Anomaly Detection
18
Future Trends In Deep Learning Research
19
Deep Learning In Financial Applications
20
Deep Learning For Social Media Analysis
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