Intelligent Data Analytics Laboratory

  • All
  • About
  • Facilities
  • Lab Members
  • Sponsored Projects
  • Publications/Patents

About Lab


The Intelligent Data Analytics Laboratory (IDAL) was established in 2024 at the 2nd Floor of the Department of Computer Science and Engineering, National Institute of Technology Rourkela. The laboratory is dedicated to advancing research, innovation, and academic excellence in the areas of Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Time Series Forecasting, and Intelligent Computing.

IDAL serves as a multidisciplinary research and development center that aims to bridge the gap between theoretical foundations and real-world applications of intelligent data-driven technologies. The laboratory provides a collaborative environment for undergraduate, postgraduate, doctoral scholars, and faculty members to work on cutting-edge research problems involving big data analytics, predictive modeling, optimization techniques, pattern recognition, natural language processing, computer vision, and decision support systems.

The laboratory is equipped with modern computational resources and software tools to support advanced experimentation and high-quality research. It actively promotes innovation through sponsored research projects, industry collaborations, publications in reputed journals and conferences, and the development of intelligent solutions for societal and industrial challenges.

With a strong focus on research, training, and knowledge dissemination, the Intelligent Data Analytics Laboratory aspires to become a center of excellence in intelligent data-driven technologies and contribute significantly to the advancement of emerging areas in Computer Science and Engineering.


Facilities @ Lab


Workstations-1&2: DELL Precision 3650, Processor: 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz, RAM: 32 GB, GPU: NVIDIA GeForce RTX 3070 (8 GB)


Workstation-3: Tyrone, Processor: Intel(R) Xeon(R) W-2123 @ 3.60 GHz, RAM: 16 GB, GPU: NVIDIA GeForce RTX 2080 Ti (11 GB)


Workstation-4: Lenovo Think Station, Processor: Intel(R) Xeon(R) CPU E5-1607 V3 @ 3.10 GHz, RAM: 20 GB, GPU: NVIDIA GeForce GTX 1660 SUPER (6 GB)


Workstation-5: HP Pro Tower 280 G9 E PCI, Processor: 13th Gen Intel(R) Core(TM) i5-13500, RAM: 16 GB, GPU: Intel(R) UHD Graphics 770


System-1: HP Compaq, Processor: Intel(R) Core(TM) i7, RAM: 8 GB


System-2: Processor: Intel(R) Core(TM) i7-7700k CPU @ 4.20 GHz, RAM: 64 GB


Other Facilities: Blue Star 2 Ton AC, HP LaserJet 1020 Plus Printer, Wi-Fi Router


Members @ Lab


Current Lab Members:

Dr. Sibarama Panigrahi, Lab Head

Mr. Chinamaya Ranjan Padhan, PhD Scholar

Miss. Anindita Jena, PhD Scholar

Mr. Souveek Roy, PhD Scholar

Mr. Baikuntha Sahu, PhD Scholar

Mr. Kedar Kumar Dora, PhD Scholar


Past Lab Members:

Mr. Tapas Manna, M.Tech Scholar

Mr. Jayanth Chowdam, M.Tech Scholar

Mr. Raman Kumar Pal, M.Tech Scholar

Mr. Sunrit Banerjee, M.Tech Scholar

Mr. Aman Maurya, M.Tech Scholar




Sponsored Projects @ Lab


Project-1:

Title: Studies on Deep Learning Models for Crude Oil Price Forecasting

Sponsoring Agency: Anusandhan National Research Foundation (ANRF)

Duration: 05-Mar-2022 to 04-Dec-2025



Project-2:

Title: Consortium of Technologies for Sustainable Agriculture, Health, Energy and Environment

Sponsoring Agency: Anusandhan National Research Foundation (ANRF)

Duration: 01-Oct-2025 to 30-Sep-2030