Important Dates
Early Bird Registration :5th July 2026
Paper Submission Deadline :10th July 2026
Last Date of Registration : 20th July 2026
Date of Conference : 4th - 5th August 2026
Conference Session Tracks
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.
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 17 — Partnerships for the Goals
Track 01
Advancements in Computational Physics
This track focuses on the latest developments in computational physics, emphasizing innovative algorithms and simulation techniques. Researchers are encouraged to present their findings on how these advancements can enhance our understanding of physical phenomena.
Track 02
Applied Mathematics in Scientific Computing
This session explores the role of applied mathematics in solving complex scientific computing problems. Contributions should highlight mathematical models and methods that facilitate simulations in various scientific domains.
Track 03
Machine Learning Techniques in Computational Science
This track examines the integration of machine learning methodologies within computational science. Papers should discuss novel applications and the impact of these techniques on data analysis and simulation accuracy.
Track 04
Numerical Methods for Differential Equations
This session is dedicated to numerical methods for solving differential equations, a cornerstone of computational science. Submissions should present new approaches, algorithms, and their applications in various scientific fields.
Track 05
Optimization Techniques in Simulation
This track focuses on optimization strategies that enhance simulation performance and accuracy. Researchers are invited to share their insights on optimization algorithms and their practical applications in computational models.
Track 06
Statistical Modeling and Data Science
This session highlights the intersection of statistical modeling and data science within computational frameworks. Contributions should address innovative statistical techniques that improve data interpretation and predictive modeling.
Track 07
High-Performance Computing in Simulation Technologies
This track explores the role of high-performance computing in advancing simulation technologies. Papers should discuss the challenges and solutions associated with utilizing HPC resources for large-scale simulations.
Track 08
Quantitative Methods in Computational Research
This session focuses on quantitative methods that underpin computational research across various disciplines. Authors are encouraged to present methodologies that enhance the rigor and reproducibility of computational studies.
Track 09
Artificial Intelligence in Computational Physics
This track investigates the application of artificial intelligence techniques in computational physics. Submissions should explore how AI can be leveraged to solve complex physical problems and improve simulation outcomes.
Track 10
Innovations in Computational Methods
This session is dedicated to innovative computational methods that push the boundaries of traditional approaches. Researchers are invited to share their breakthroughs and the implications for future research in computational science.
Track 11
Research Applications of Computational Techniques
This track emphasizes the practical applications of computational techniques in various research fields. Contributions should demonstrate how computational methods can be applied to solve real-world problems and advance scientific knowledge.