Hybrid Conferencee

International Conference on Simulation and Modeling in Engineering and Technology (ICSMET - 27)

25th - 26th May 2027 | Mississauga, Canada
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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 Mississauga. 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 Mississauga 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 Mississauga conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mississauga, 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 Mississauga."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advanced Computational Methods in Engineering

This track focuses on the development and application of advanced computational methods in engineering disciplines. It aims to explore innovative algorithms and numerical techniques that enhance simulation accuracy and efficiency.

Track 02

Statistical Modeling and Data Analysis

This session emphasizes the role of statistical modeling in extracting insights from complex data sets. Researchers are invited to present methodologies that leverage statistical techniques for effective data analysis in engineering contexts.

Track 03

Machine Learning Applications in Engineering

This track highlights the integration of machine learning techniques in various engineering applications. Participants are encouraged to share case studies and research that demonstrate the transformative impact of AI on engineering processes.

Track 04

Optimization Techniques for Engineering Problems

This session is dedicated to exploring optimization methods that address real-world engineering challenges. Contributions that showcase novel approaches to optimization in design, resource allocation, and operational efficiency are welcome.

Track 05

High-Performance Computing in Simulation

This track investigates the role of high-performance computing in enhancing simulation capabilities. Presentations should focus on computational frameworks and architectures that enable large-scale simulations in engineering.

Track 06

Numerical Methods for Complex Systems

This session aims to discuss the application of numerical methods to model and simulate complex engineering systems. Researchers are invited to present innovative solutions that address computational challenges in this domain.

Track 07

Risk Analysis and Management in Engineering

This track explores methodologies for risk analysis and management within engineering projects. Contributions should focus on quantitative approaches that assess and mitigate risks in engineering applications.

Track 08

Quantitative Methods in Engineering Research

This session highlights the application of quantitative methods in engineering research. Participants are encouraged to present studies that utilize statistical and mathematical techniques to solve engineering problems.

Track 09

Simulation Techniques in Engineering Design

This track focuses on simulation techniques that enhance the engineering design process. Contributions should demonstrate how simulation tools can optimize design decisions and improve product performance.

Track 10

Artificial Intelligence in Engineering Systems

This session examines the application of artificial intelligence in engineering systems and processes. Researchers are invited to discuss innovative AI solutions that enhance decision-making and operational efficiency.

Track 11

Emerging Trends in Computational Science

This track is dedicated to exploring emerging trends and technologies in computational science relevant to engineering. Participants are encouraged to share insights on future directions and innovations in computational methodologies.