Pre-Enrollment

30th December 2026

Final Paper Submission

4th January 2027

Registration Deadline

14th January`2027

Conference Date

29th Jan - 30th Jan 2027

Call for Papers

The International Conference on Statistical Learning and Stochastic Methods 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 Probability Theory, Statistics, 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
Stochastic Methods In Machine Learning
02
Statistical Learning For Dynamic Systems
03
Stochastic Modeling In Data Science
04
Applications Of Stochastic Methods In Finance
05
Statistical Learning In Time Series Forecasting
06
Stochastic Methods For Optimization Problems
07
Statistical Learning In Computer Vision
08
Stochastic Modeling In Healthcare Systems
09
Applications Of Stochastic Methods In Engineering
10
Statistical Learning For Anomaly Detection
11
Stochastic Processes In Artificial Intelligence
12
Statistical Learning In Social Sciences
13
Stochastic Methods For Risk Management
14
Statistical Learning In Environmental Modeling
15
Stochastic Modeling In Telecommunications
16
Applications Of Stochastic Methods In Logistics
17
Statistical Learning For User Behavior Analysis
18
Stochastic Methods In Operations Research
19
Statistical Learning In Energy Systems
20
Stochastic Modeling In Supply Chain Optimization
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