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    CCCS

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    Centre for Computational and Complexity Sciences (CCCS)

    Centre for Computational and Complexity Sciences (CCCS)

    The Centre for Computational and Complexity Sciences (CCCS) at BML Munjal University aims to foster the research collaborations in cutting-edge areas of complex systems. The centre will be focused on achieving scientific breakthroughs by addressing the challenges from the perspective of complex systems. The centre aims to facilitate cross disciplinary research and educational opportunities in the area of non-linear and adaptive systems.

    Systems are considered complex when their dynamics cannot be easily predicted or explained as a linear summation of the individual dynamics of its components. Different components of the complex system interact with each other and its behavior is influenced by their dependencies and relationship. The behavior of the complex system analogues the famous quote by Aristotle “The whole is more than the sum of its parts”. Thus complex systems study how relationships between different parts contribute to the collective behavior of the entire system and how the system as a whole interacts with its environment. Complex systems aim to observe and explore the behavior of divergent systems such as global climate, human brain, transportation/communication systems, social networks and economic systems, etc. These systems possess the intrinsic properties of non-linearity, feedback loops, self-organization, and emergence.

    We are looking forward to solving challenging socio-economic issues such as, not limited to, energy consumption, climate change and economic complexity. The centre with diverse backgrounds such as economics, mathematics, social science, biology, physics, machine learning, complex system theory, data science and geospatial science, renewable energy systems, and system engineering will work together to shape the objectives of the Centre.

    Members of the CCCS come from a variety of fields, including economics, physics, biomedical engineering, soft computing, data science, geospatial science, clean and sustainable energy, governance, and collaborate with renowned experts from around the world to determine the objectives of the centre.

    Centre Aims and Objectives

    The primary objective of CCCS is to develop the expertise and synergy required for addressing various socio-economic issues.

    • To build networks globally among interested faculty and students, to work towards novel solutions for societal issues.
    • To promote the research culture and collaboration at national and international level.
    • To promote trans-disciplinary learning from diverse perspectives of behavioral sciences, econo-physics, socio-physics, quantum decision theory etc.
    • To address complex real-world issues to develop reliable systems using data-driven techniques.

    Courses

    • Data Science of Complex Systems
    • An Introduction to the Science of Complex World
    • Computational Complexity Theory
    • Workshop on Geospatial Science

    Research Thrust Areas

    • Computational Neuroscience
    • Stochastic Modeling
    • Statistical Modeling
    • Mathematical Modeling
    • Econo-Physics and Socio-Physics
    • Pattern Recognition
    • Network Theory
    • Science of Science
    • Geospatial Science
    • Renewable Energy Systems

    Team

    • Prof. Anirban Chakraborti, Dean, School of Engineering and Technology
    • Dr. Sarabjot Singh Anand, Director - Computer Science & Engineering
    • Dr. Kiran Khatter, Associate Professor
    • Dr. Soharab Hossain Shaikh, Associate Professor
    • Dr. Kiran Sharma, Assistant Professor
    • Dr. Hirdesh Pharasi, Assistant Professor
    • Dr. Devanjali Relan, Assistant Professor
    • Dr. Harish Puppala, Assistant Professor

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