Motto: Innovation Drives Transformation
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Centre for Research in Computational and Data Science (CRCDS)

STRATEGIC PLAN

FUTIA will establish the CRCDS to enable and promote excellence in computation- and data-enabled research and learning through strategic investments in interdisciplinary programs, advanced cyberinfrastructure and apply big data and big simulation methods across the research landscape; big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems
The Centre Philosophy
CRCDS Goals

The Centre Philosophy

The philosophy behind FUTIA’s Centre for Research in Computational and Data Science is to:

  1. Advance Interdisciplinary Research: Foster collaboration among researchers from diverse fields to tackle complex problems through computational and data-driven approaches.
  2. Drive Innovation: Develop novel computational methods, algorithms, and tools to extract insights from large datasets, leading to breakthroughs in various disciplines.
  3. Address Real-World Challenges: Apply computational and data science techniques to solve pressing societal problems, such as climate change, healthcare, and economic development.
  4. Nurture Talent: Train and mentor the next generation of researchers, equipping them with expertise in computational and data science to tackle complex problems.
  5. Foster Collaboration and Knowledge Sharing: Create a hub for researchers, industry partners, and government agencies to share ideas, resources, and expertise, promoting a culture of collaboration and innovation.
  6. Support Data-Driven Decision-Making: Provide cutting-edge data analytics and visualization capabilities to support informed decision-making in various fields, from policy to business.
  7. Push the Boundaries of Computational Science: Explore new frontiers in computational science, such as artificial intelligence, machine learning, and high-performance computing.
  8. Develop Practical Applications: Translate research findings into practical solutions, products, and services, benefiting society and driving economic growth.
  9. Encourage Entrepreneurship: Support spin-offs, start-ups, and industry partnerships, transforming research ideas into viable businesses and products.
  10. Stay at the Forefront of Technological Advancements: Continuously update and refine research focus areas to address emerging challenges and opportunities in computational and data science.

 

CRCDS Goals

The goal of the University’s Centre for Research in Computational and Data Science is to:

  1. Conduct innovative research: Advance the state-of-the-art in computational and data science, driving breakthroughs and discoveries that transform various fields and address pressing societal challenges.
  2. Foster interdisciplinary collaboration: Bring together researchers from diverse disciplines to tackle complex problems, leveraging computational and data science techniques to develop innovative solutions.
  3. Develop cutting-edge methods and tools: Create novel computational methods, algorithms, and software to extract insights from large datasets, enabling new research possibilities and applications.
  4. Train and inspire the next generation: Educate and mentor students, postdoctoral researchers, and faculty members, equipping them with expertise in computational and data science to tackle complex challenges.
  5. Translate research into impact: Collaborate with industry, government, and societal partners to apply research findings to real-world problems, driving innovation, economic growth, and social progress.
  6. Stay at the forefront of technological advancements: Continuously update and refine research focus areas to address emerging challenges and opportunities in computational and data science, ensuring the centre remains a hub for innovation and excellence.