International Conference on Deep Neural Networks and Optimization Techniques
(ICDNNOT-26)

24th October 2026 || Chandigarh - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Deep Neural Networks and Optimization Techniques (ICDNNOT), scheduled to be held on 24th October 2026 in Chandigarh, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational Science,Data Science.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Deep Neural Network Architectures
    This track focuses on the latest innovations in deep neural network designs and their applications in various fields. Researchers are invited to present their findings on novel architectures that enhance performance and efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 02 – Optimization Techniques in Machine Learning
    This session explores various optimization methods employed in machine learning to improve model accuracy and convergence. Contributions that discuss gradient descent variants and other optimization algorithms are particularly welcome. Aligned SDGs: SDG 8 – Decent Work and Economic Growth
  • Track 03 – Reinforcement Learning: Theory and Applications
    This track highlights the theoretical foundations and practical applications of reinforcement learning. Papers that investigate algorithmic advancements and case studies in real-world scenarios are encouraged. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Predictive Analytics in Big Data Environments
    This session addresses the challenges and methodologies associated with predictive analytics in big data contexts. Contributions that demonstrate the integration of deep learning techniques for predictive modeling are sought. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Simulation Techniques in Computational Science
    This track emphasizes the role of simulation in computational science, particularly in modeling complex systems. Researchers are invited to share their insights on simulation methodologies and their applications in various domains. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 13 – Climate Action
  • Track 06 – Data Mining Approaches Using Deep Learning
    This session focuses on the intersection of data mining and deep learning, exploring how advanced neural networks can enhance data extraction and analysis. Papers that present novel data mining techniques leveraging deep learning are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Pattern Recognition with Neural Networks
    This track investigates the application of neural networks in pattern recognition tasks across diverse fields. Researchers are invited to present their work on innovative methods and their effectiveness in real-world applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 08 – Automation in Scientific Research through AI
    This session explores the role of artificial intelligence in automating scientific research processes. Contributions that demonstrate how AI can streamline research workflows and enhance productivity are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 09 – Gradient Descent and Its Variants in Optimization
    This track delves into gradient descent algorithms and their various adaptations for optimizing deep learning models. Researchers are encouraged to present empirical studies and theoretical advancements in this area. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Neural Architectures for Complex Problem Solving
    This session focuses on the development and application of neural architectures designed to tackle complex problems in various domains. Papers that highlight innovative solutions and their impact on problem-solving are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 11 – Interdisciplinary Applications of Deep Learning
    This track showcases interdisciplinary research that applies deep learning techniques across different scientific fields. Contributions that highlight collaborative efforts and novel applications are particularly welcome. Aligned SDGs: SDG 4 – Quality Education  |  SDG 17 – Partnerships for the Goals
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production
  • SDG 13 SDG 13
    Climate Action
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

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