About
This Division has been established in 2019 under the leadership of Director Prof. G N Sastry, the Advanced Computation and Data Sciences Division is located in the S S Bhatnagar Building within the official campus of CSIR-NEIST, Jorhat. Its primary focus is directed towards accomplishing the following scope:
- Documentation, digitization, deposition of data and analyse this data with Machine Learning and Artificial Intelligence applications.
- To conduct fundamental and applied research in Computational Modelling and Data Science Spanning.
- To facilitate various R&D Divisions in the Institute to perform Big data analysis by adopting contemporary scientific and technological advances.
Vision & Mandate
Vision
Data sciences has emerged as a critical technology for all basic and translational research endeavours. The abundance of natural wealth, bio-diversity, geo-diversity can be put to great use for the development of the North East region in particular and nation in general by adopting contemporary scientific and technological advances. CSIR-NEIST undertakes the path of documentation, digitization, deposition of data and analyse this data with Machine Learning and Artificial Intelligence applications, with outcomes leading to societal benefit.
Mandate
The division’s mandate is to conduct fundamental and applied research in Computational Modelling and Data Science Spanning. The division is expected to facilitate various R&D Divisions viz. Geosciences, Chemical Sciences, Materials Sciences, Biological Sciences and Engineering Sciences to perform big data analysis by adopting contemporary scientific and technological advances. Also it will undertake the path of documentation, digitization, deposition of data and subject this data for Machine Learning and Artificial Intelligence applications..
Objectives
- Developing disease specific webportals based on galaxy platform on metabolic disorders, NAFLD (non-alcoholic fatty liver disease), HIV, etc.
- Duis aute irure dolor in reprehenderit in voluptate velitChemoinformatics and developing a compound library, where each compound available in public domain is obtained and a given a special MPDS ID, akin to Aadhar card.
- Developing interaction with medical doctors and clinicians in healthcare, and kickstart the initiative of DISHA (development of informatics for societal health advancement), which was conceived a while ago.
- Employing the state of art AI, ML and statistical approaches for data analysis in chemo-, bio-, pharmaco-, geo-, plant-, and soil informatics.
- IoT based real time data generation, modeling with AI, ML.
- Documentation, digitization & deposition of plant species collected from North Eastern region of India.
- Development of potential disease modifying agent using Computer Aided Drug Design approach.
- Designing pharmacophore & drug target interaction models using structural bio informatics.
- Development of new functional materials for device designing.
- Development of new geo dynamic model to understand the lithospheric deformation pattern beneath North East Himalaya and Indo-Burmese wedge.
- Understanding the complex lithospheric and asthenospheric interaction in Shillong plateau and understanding its pop up tectonics.
Major Focus On
Computational Modeling & Simulation
Artificial Intelligence & Machine Learning
Computer Aided Drug Discovery
MPDS Software Develpment
Capacity Building
Skill Development & Training Program
Database Development
Website Development
Lab Infrastructure
Our division boasts a formidable array of computational resources, totaling an impressive 500 teraflops (TF). These state-of-the-art facilities represent a significant investment in cutting-edge computing technology, underscoring the division's commitment to advancing research in fields ranging from data science to computational biology. With this substantial computational power at its disposal, the ACDS division is poised to tackle complex scientific challenges, accelerate data-driven discoveries, and push the boundaries of computational research.
| Configuration | Quantity | Performance(TeraFlops) |
|---|---|---|
| HPC Facility | 1+5 Nodes | 8 TFlops |
| Tower Servers + GPU | 10 | 10 x 3.6(CPU) + 10 x 38(GPU) TFlops |
| Tower Big Workstations | 10 | 10 x 3.6(CPU) + 10 x 7(GPU) TFlops |
| Other Small Workstations | 12 | 10.40 TFlops |
| Intel i7-10700/16GB/3.8GHz | 14 | 3.36 TFlops |
| Intel i7-8700/32GB/3.0GHz | 19 | 2.85 TFlops |
| Intel i7-9700/8GB/3.0GHz | 5 | 0.45 TFlops |
| Intel i7-9700/16GB/3.2GHz | 3 | 1 TFlops |
- All
- Facility
- Computers
