HIGH PERFORMANCE COMPUTING LABORATORY

The High Performance Computing (HPC) laboratory was inaugurated in the year of 2018 in the presence of Smt. Jaya Panvalkar (Chair Person, Core Expert Group of NSM, HRD), Mr. Ashish Kuvelkar (Sr. Director, HPC Technologies, C-DAC, Pune) and Dr. V. C. V. Rao (Associate Director / Head of the Division (HPC-FTE) Group, C-DAC, Pune). It is equipped with GPU-based machines to conduct intensive research and to solve complex computational problems.

People

Dr. Rupa G. Mehta

Lab In-charge

Mr. Bhavin Rana

Technical Assistant

Ph.D. Scholars

Ms. Shivani Vora (D17CO002)
Ms. Neha Kapadia (DS18CO002)
Ms. Mayur Makwana (DS18CO003)
Ms. Nikita (DS21CO001)

Gallery

HPC Lab
HPC Lab
HPC Lab
HPC Lab
HPC Lab
HPC Lab

Research Project Areas

Legal Document Recommendation System

Fake News Detection System

Influence Identification and Ranking in Scholarly Data

Publication

1. Agarwal, Isha Y. and Dipti P. Rana, Devanshi Bhatia, Jay Rathod, Kaneesha J. Gandhi, and Harshit Sodagar. "Detection of Bot Accounts on Social Media Considering Its Imbalanced Nature." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 162-176. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch009
2. Agarwal, Isha Y., Dipti P. Rana, Kshitij R. Suri, Punitkumar Jain, Saumya Awasthi, and Krittika Roy. "Behaviour Anomaly Detection With Similarity-Based Sampling for Imbalanced Data." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 177-194. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch010
3. Agarwal, Isha Y., and Dipti P. Rana. "Fake News and Imbalanced Data Perspective." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 195-210. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch011
4. Dhanani, Jenish, Rupa G. Mehta, Dipti P. Rana, Rahul Lad, Amogh Agrawal, Karan Chevli, and Jashwanth Gummula Reddy. "Indian Judgment Categorization for Practicing Similar Judgment Identification." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 232-241. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch013
5. Mitali Desai, Rupa G. Mehta, and Dipti P. Rana. "A Survey on Techniques for Indexing and Hashing in Big Data", in 4th IEEE International Conference on Computing Communication and Automation (ICCCA), 2018, pp. 1-6. DOI: 10.1109/CCAA.2018.8777454
6. Mitali Desai, Rupa G. Mehta, and Dipti P. Rana. "Issues and Challenges in Big Graph Modelling for Smart City: An Extensive Survey", International Journal of Computational Intelligence & IoT, Vol. 1, No. 1, 2018. Available at SSRN: https://ssrn.com/abstract=3354388
7. Mitali Desai, Rupa G. Mehta, and Dipti P. Rana. "An Empirical Analysis to Identify the Effect of Indexing on Influence Detection using Graph Databases", International Journal of Innovative Technology and Exploring Engineering, Vol. 8, No. (9S), July 2019, pp. 414-421. DOI: 10.35940/ijitee.I1066.0789S19
8. Mitali Desai, Rupa G. Mehta, and Dipti P. Rana. “RGNet: The Novel Framework to Model Linked ResearchGate Information into Network Using Hierarchical Data Rendering”, Advances in Machine Learning and Computational Intelligence, Algorithms for Intelligent Systems, Springer, Singapore, pp. 37-45, July 2020. https://doi.org/10.1007/978-981-15-5243-4_4
9. Mitali Desai, Rupa G. Mehta, and Dipti P. Rana. "An Experimental Analysis to Learn Data Imbalance in Scholarly Data: A Case Study on ResearchGate." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, pp. 242-254. Hershey, PA: IGI Global, 2021. http://doi:10.4018/978-1-7998-7371-6.ch014
10. Dhanani J., Mehta R., Rana D., Tidke B. Back-Propagated Neural Network on MapReduce Frameworks: A Survey. In: Tiwari S., Trivedi M., Mishra K., Misra A., Kumar K. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 851. Springer, 2019. https://doi.org/10.1007/978-981-13-2414-7_35)
11. Agarwal, I., Rana, D., "Credibility and the science of sentiments" (2020). Journal of Advanced Research in Dynamical and Control Systems. (SCOPUS)
12. Agarwal, I., Rana, D., & More, A., "Predicting the Veracity of Fake Information on Smart Media for Reducing Misinformation Diffusion" (2018). International Journal of Computational Intelligence & IoT, Vol. 1, No. 2, 2018, Available at SSRN: https://ssrn.com/abstract=3354570
13. Rana, D., Agarwal, I., & More, A. (2018, December). "A Review of Techniques to Combat The Peril of Fake News". In 2018 4th International Conference on Computing Communication and Automation (ICCCA) (pp. 1-7). IEEE (SCOPUS)
14. Agarwal, I., Rana, D. (2020), “COVID19FN”, Mendeley Data, v3 http://dx.doi.org/10.17632/b96v5hmfv6.3
15. G. Pandiyath, P. Patil, S. Singh, Neha Kapadia, Dr. R. G. Mehta “Smart Dustbin with Route Optimization” Proceedings of International Conference on Intelligent Computing and Networking 2020 in association with Springer.
16. Dr. R.G. Mehta, Ms. Neha Kapadia “An Optimal Path Recommendation Algorithm for Waste Carrier Vehicle” International Conference on Intelligent Computing & Networking (IC-ICN-2021).
17. Shivani Vora, Rupa G. Mehta, "Investigating People’s Sentiment from Twitter Data for Smart Cities: a Survey", International Conference on Computational Intelligence & Internet of Things (ICCIIoT) 2018, NIT, Agartala, Tripura, India, December 14 - December 15, 2018.
18. Vora, Shivani Vasantbhai, Rupa G. Mehta, and Shreyas Kishorkumar Patel, "Impact of Balancing Techniques for Imbalanced Class Distribution on Twitter Data for Emotion Analysis: A Case Study." Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance. IGI Global, 2021. 211-231.

Equipment


Param Shavak HPC

Processor: Dual Socket Intel Xeon E5-2680 v4 with 14 cores each with 2.4 GHz clock speed, RAM: 8x8 GB DDR4, HDD: 8 TB SATA, OS: Cent OS, GPU Memory: 12 GB GDDR5X, GPU CUDA Core: 2880


Param Shavak DL-GPU

Processor : Dual Socket Intel Xeon E5-2680 v4 with 14 cores each with 2.4 GHz clock speed, RAM: 8x8 GB DDR4, HDD: 8 TB SATA, OS: UBUNTU, GPU Memory: 16 GB GDDR5X, GPU CUDA Core: 2560

Contact


COED-302,
3rd Floor , New Docs Building,
SVNIT , Surat - 395007
Gujarat , India