High Performance Computing (HPC)
Laboratory
Department of Computer Science and Engineering
Sardar Vallabhbhai National Institute of Technology
(SVNIT)
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.
Research Areas
High Performance Computing
Big Data Analytics
Data Mining
Machine Learning
Deep learning
Imbalance Data Mining
Information Extraction
Text Embedding
Recommendation System
Resources
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: Sent 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
Associated Research Scholars
Full Time Ph.D.
Ms. Isha Agarwal (D17CO004)
Ms. Mitali Desai (DS17CO003)
Part Time Ph.D.
Ms. Shivani Vora (D17CO002)
Ms. Neha Kapadia (DS18CO002)
B. Tech.
Mr. Amogh Agrawal
Mr. Karan Chevli
Mr. Jashwanth Gummula Reddy
Mr. Rahul Lad
Laboratory In-Charge
Dr. Rupa G. Mehta
Associate Professor
Department of Computer Science and Engineering
Ph.D. Completed
Mr. Jenish Dhanani (D16CO002)
Research Project Areas
Legal Document Recommendation System
Fake News Detection System
Influence Identification and Ranking in Scholarly Data
Publications
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
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
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
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
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
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
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
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
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
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)
Agarwal, I., Rana, D., "Credibility and the science of sentiments" (2020). Journal of Advanced Research in Dynamical and Control Systems. (SCOPUS)
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
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)
Agarwal, I., Rana, D. (2020), “COVID19FN”, Mendeley Data, v3 http://dx.doi.org/10.17632/b96v5hmfv6.3
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.
.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).
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.
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.
Location
High Performance Computing Laboratory
Department of Computer Science and Engineering
Sardar Vallabhbhai National Institute of Technology
(SVNIT)
Ichchhanath
Surat - 395007