Call for Chapters: Stochastic Processes and Their Applications in Artificial Intelligence


Christo Ananth, Samarkand State University,Uzbekistan, Missing Country
Anbazhagan N, Alagappa University, Karaikudi - 630 003, India, Missing Country
Mark Goh, National University of Singapore,Singapore, Missing Country

Call for Chapters

Proposals Submission Deadline: September 28, 2022
Full Chapters Due: December 11, 2022
Submission Date: December 11, 2022


Using Stochastic Processes is a key tool in real-time mathematical model of systems which has a continuous random varying nature. It has a wide beach of applications ranging from Image Processing, Neuroscience, Bio Informatics, Financial Management, Statistics, etc. Mathematical Physical and Engineering Systems use Stochastic Processes for Modelling and Reasoning phenomena. While Comparing AI-Stochastic Systems with Other Counterpart Systems, we are able to understand its significance thereby applying new techniques to obtain new real-time results and solutions.


Stochastic Processes and their Applications in Artificial Intelligence provides promisingly recent trends in Artificial Intelligence techniques in Stochastic Processes, the various Examples involved, Application of Stochastic Processes in Artificial Intelligence and Comparison of Stochastic Systems with Stochastic-AI Systems. The book will open doors for AI Experts to use Stochastic Processes as an Effective tool in Real-world Problems in Computational Biology, Speech Recognition, Natural Language Processing and Reinforcement Learning. This Book will be a Key Reference for Students, Practitioners, Professionals, Scientists and Engineer – Researchers to combat the shortcomings of the non-deterministic Probability Models

Target Audience

The target audience will be Students, Practitioners, Professionals, Scientists, Industrialists and Engineer – Researchers of various sectors.

Recommended Topics

1. Auto Regressive Techniques, Processes and its Artificial Intelligence Solutions
2. Brownian motion processes and its Machine Learning
3. Correlation AI related Models and Stochastic Processes in Control Theory
4. Differential Equations, Computer vision and Artificial Intelligence Models
5. Discrete Time-Dynamics, Stochastic Processes and Artificial Intelligence
6. Dynamic Bayesian Networks and its Modelling in Artificial Intelligence
7. Gaussian Modelling with Expected Maximization and its Role in Artificial Intelligence
8. Information Processing, Learning and Artificial Intelligence
9. Markov Chain Monte Carlo Methods and its Relevance to Artificial Intelligence
10. Markov decision processes and its Artificial Intelligence
11. Pattern Recognition, Imaging Models and Artificial Intelligence
12. Poisson processes and its Artificial Intelligence
13. Principal Component Analysis, Solutions and Artificial Intelligence Tools
14. Random Walk Processes and its Machine Learning
15. Reinforcement Learning Methods and Artificial Intelligence Models
16. State Space Models & Equations and its Application in Machine Learning
17. Subspace Methods, Trajectories and its Artificial Intelligence Solutions
18. Supervised Learning Approaches and its Artificial Intelligence Involved
19. Transfer Functions, Stability Problems and its Artificial Intelligence
20. Unsupervised Models and Artificial Intelligence Solutions

Submission Procedure

Researchers and practitioners are invited to submit on or before September 28, 2022, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 12, 2022 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by December 11, 2022, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Stochastic Processes and Their Applications in Artificial Intelligence. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2023.

Important Dates

September 28, 2022: Proposal Submission Deadline
October 12, 2022: Notification of Acceptance
December 11, 2022: Full Chapter Submission
January 24, 2023: Review Results Returned
March 7, 2023: Final Acceptance Notification
March 21, 2023: Final Chapter Submission


Christo Ananth
Samarkand State University

Anbazhagan N
Alagappa University, Karaikudi - 630 003

Mark Goh
National University of Singapore


Business and Management; Computer Science and Information Technology; Education; Science and Engineering
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