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International Conference on Optimization and Control in Applied Science and Engineering

ICOCASE

17th Jun – 18th Jun 2027 Lahore, Pakistan

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

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Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

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Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 3 SDG 4 SDG 9 SDG 11
01 Advanced Optimization Techniques +
This track focuses on the latest advancements in optimization methodologies, including both theoretical and practical aspects. Researchers are encouraged to present innovative algorithms and frameworks that enhance optimization processes in various applied fields.
SDG 9 SDG 12
02 Control Systems in Engineering Applications +
This session explores the role of control systems in engineering, emphasizing their application in real-world scenarios. Contributions that demonstrate the integration of control theory with engineering practices are particularly welcome.
SDG 9 SDG 11
03 Mathematical Modeling in Applied Sciences +
This track invites discussions on the development and application of mathematical models to solve complex problems in applied sciences. Papers should highlight the significance of modeling in understanding and predicting real-world phenomena.
SDG 3 SDG 4
04 Numerical Methods for Optimization Problems +
This session is dedicated to numerical techniques that address optimization challenges across various domains. Submissions should focus on the effectiveness and efficiency of numerical methods in achieving optimal solutions.
SDG 9 SDG 12
05 Probability and Risk Analysis in Decision Making +
This track examines the application of probability theory and risk analysis in decision-making processes. Researchers are invited to present methodologies that quantify uncertainty and enhance decision-making frameworks.
SDG 16
06 Data Science and Predictive Analytics +
This session highlights the intersection of data science and predictive analytics, showcasing techniques that leverage data for forecasting and decision support. Contributions should demonstrate the practical implications of data-driven insights in various sectors.
SDG 9 SDG 17
07 Machine Learning Algorithms for Optimization +
This track focuses on the application of machine learning algorithms to solve optimization problems. Papers should explore novel approaches that utilize machine learning to improve optimization outcomes in diverse applications.
SDG 9 SDG 12
08 Quantitative Methods in Engineering Research +
This session encourages the use of quantitative methods to address engineering challenges. Submissions should illustrate how quantitative analysis contributes to innovation and efficiency in engineering practices.
SDG 9 SDG 12
09 Simulation Techniques in Applied Mathematics +
This track emphasizes the role of simulation techniques in applied mathematics, particularly in modeling complex systems. Researchers are invited to present case studies that demonstrate the effectiveness of simulation in practical applications.
SDG 9 SDG 12
10 Systems Theory and Its Applications +
This session explores systems theory and its relevance in various applied science and engineering contexts. Contributions should focus on theoretical advancements and their practical implications in system design and analysis.
SDG 9 SDG 12
11 Forecasting Methods in Applied Sciences +
This track invites papers on forecasting methods used in applied sciences, emphasizing their role in predicting future trends and behaviors. Researchers are encouraged to present innovative approaches that enhance forecasting accuracy and reliability.
SDG 9 SDG 12