ABOUT COE-HPC
To come out as a research hub in solving computational-intensive, scientific & real-world problems, Government of Odisha in collaboration with C-DAC Pune, has established Centre of Excellence -High Performance Computing (CoE-HPC) laboratory in Parala Maharaja Engineering College, Berhampur, Odisha in 2019. Two PARAM SHAVAK desktop supercomputers are deployed in CoE-HPC to collaborate, educate and carry out research using high performance computing in diversified area of applications.
DETAILED BROCHURE: Final_Brochure_HPC
FACULTY-IN-CHARGE: Dr. Niranjan Panigrahi, Department of CSE
TRAINING & INTERNSHIP ACTIVITIES:
- Workshop on High Performance Computing using the PARAM SHAVAK System, conducted by experts from C-DAC Pune, held from 19–22 August 2019.
- Online Training on “Machine Learning and Deep Learning using the PARAM SHAVAK DL-GPU System”, conducted by experts from C-DAC Pune, held from 11–15 January 2021.
- Online Summer Internship on the PARAM SHAVAK System, organized by the Department of Computer Science and Engineering (CSE), conducted for 45 days during May–June 2021.
- Summer Research Internship on “Computational Modelling of Human Sanitation Behavior & Decision Support System (DSS) Development”, supervised by Dr. Niranjan Panigrahi, Department of CSE, from 8 June–15 July 2026.
- Summer Research Internship on “Vehicular Ad Hoc Network-Based Dynamic Ambulance Green Corridor System for Mixed Traffic in Indian Urban Roads”, supervised by Dr. Sourav Kumar Bhoi, Department of CSE, from 17 June–17 July 2026.
RESEARCH ACTIVITIES:
[1] D. Mohapatra and S. R. Pradhan, “Achieving spectral localization of network using betweenness-based edge perturbation,” Social Network Analysis and Mining, vol. 10, no. 1, Art. no. 74, 2020, doi: 10.1007/s13278-020-00687-y .
[2] N. Panigrahi, “Artificial Intelligence Based Indian Sign Language Recognition with Accelerated Performance under HPC Environment,” in *2022 20th OITS International Conference on Information Technology (OCIT)*, 2022, pp. 235–239, doi: 10.1109/OCIT56763.2022.00051 .
[3] P. Misra, N. Panigrahi, S. G. K. Patro, A. O. Salau, and S. S. Aravinth, “Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction using deep convolutional neural network models,” *Multimedia Tools and Applications*, vol. 83, no. 9, pp. 14211–14233, 2024, doi: 10.1007/s11042-023-16084-4.
[4] A. R. Dash and M. R. Patra, “Video-Based Detection of Squint and Cataract for Accessibility-Aware Adaptive Web Interface Rendering,” *International Journal of Computer Science, Engineering and Applications (IJCSEA)*, vol. 16, no. 3, pp. 1–18, 2026, doi: 10.5121/ijcsea.2026.16301.
