Hybrid Conferencee

International Conference on Computational Mathematics and Scientific Computing (I2CMSC - 27)

6th - 7th February 2027 | Mombasa, Kenya
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

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 Mombasa. 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 Mombasa 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 Mombasa conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mombasa, 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 Mombasa."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Computational Mathematics

This track focuses on the latest developments in computational mathematics, including innovative algorithms and numerical methods. Participants are encouraged to present their research on theoretical models and their practical applications.

Track 02

Data Science Techniques and Applications

This session will explore various data science methodologies, emphasizing their application in real-world scenarios. Topics may include machine learning, big data analytics, and quantitative analysis.

Track 03

High-Performance Computing in Scientific Research

This track highlights the role of high-performance computing in advancing scientific research across various disciplines. Contributions should address computational efficiency and scalability in simulations and modeling.

Track 04

Optimization Methods in Computational Science

This session will delve into optimization techniques utilized in computational science, focusing on both theoretical and applied perspectives. Researchers are invited to share their insights on algorithmic advancements and practical implementations.

Track 05

Machine Learning and Artificial Intelligence in Data Analysis

This track examines the intersection of machine learning, artificial intelligence, and data analysis. Presenters will discuss novel approaches and case studies that demonstrate the effectiveness of these technologies in solving complex problems.

Track 06

Simulation Techniques in Applied Mathematics

This session is dedicated to the exploration of simulation techniques within the realm of applied mathematics. Participants are encouraged to present their findings on the effectiveness of simulations in modeling real-world phenomena.

Track 07

Statistical Methods for Big Data

This track focuses on the development and application of statistical methods tailored for big data challenges. Contributions should address innovative approaches to data collection, analysis, and interpretation.

Track 08

Complex Systems and Computational Modeling

This session will explore the modeling of complex systems using computational techniques. Researchers are invited to discuss their methodologies and findings related to system dynamics and emergent behavior.

Track 09

Theoretical Models in Probability and Statistics

This track emphasizes the development of theoretical models within probability and statistics. Presenters will share their research on foundational theories and their implications for practical applications.

Track 10

Applied Research in Computational Science

This session highlights applied research initiatives that leverage computational science to address real-world challenges. Participants are encouraged to showcase their projects and outcomes.

Track 11

Interdisciplinary Approaches to Computational Mathematics

This track promotes interdisciplinary research that integrates computational mathematics with other scientific domains. Contributions should reflect collaborative efforts and innovative applications across fields.