1. Vivek Parganiha, Soorya Prakash Shukla, and Lokesh Kumar Sharma. "GOA-IDBN-SC: An Improvised Feature Extraction and Classification Approach for Cloud Intrusion Detection." Design Engineering (2021): 1667-1689. [SCOPUS]
2. Vivek Parganiha, Soorya Prakash Shukla, and Lokesh Kumar Sharma. “An Optimized Approach for Feature Selection and Clustering using Grasshopper Optimization Algorithm.” Turkish Online Journal of Qualitative Inquiry (TOJQI). Volume 12, Issue 10, October 2021: 4734-4741. [SCOPUS]
3. Vivek Parganiha, Soorya Prakash Shukla, and Lokesh Kumar Sharma. “Cloud Intrusion Detection Model based on Deep Belief Network and Grasshopper Optimization.” International Journal of Ambient Computing and Intelligence (IJACI). Volume 13, Issue 01, April 2022: DOI: 10.4018/IJACI.293123. [SCOPUS]
4. Y.Puja, Vivek Parganiha, Dinesh Kumar Bhawnani,”Stock Market prediction using machine learning & python“ International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), JAN2022, Vol.4, Issue No 1, ISSN 2582-5208.
5.  Y.Puja, Vivek Parganiha, Dinesh Kumar Bhawnani,”Stock market closing price prediction using ARNN“ International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), JAN2022, Vol.4, Issue No 1, ISSN 2582-5208.
6. Sanjeev Shrivastava, Vivek Parganiha, “Performance Evaluation of Routing Protocols, Mobility Models and Simulation in MANET”, Journal of Emerging Technologies and Innovative Research (JETIR), April 2019, Volume 6, Issue 4, ISSN-2349-5162.
7. Sanjeev Shrivastava, Vivek Parganiha, “Survey of Routing Protocols, Simulation, Testing Tools and Mobility Models in MANET”, International Journal of Management, Technology and Engineering, Volume IX, Issue III, MARCH/2019, ISSN NO : 2249-7455
8. Revati Raman Dewangan, Vivek Parganiha, and Deepali Thombre. "An Approach of Cryptography for Web User Authentication using Secure Remote Password Protocol." International Journal of Computer Science Engineering & Technology 2.1 (2012).
9. Singh, V. K., Shah, V., Jain, Y. K., Shukla, A., Thoke, A. S., Singh, & Parganiha, V. (2008). Proposing an efficient method for frequent pattern mining. World Academy of Science, Engineering and Technology, 61(48), 384-390.
10. Parganiha. V. et al. 2018, Survey of routing protocol simulation, testing tools and mobility models in MANET. International Journal of advanced in management technology & Engg. Sciences
11. Parganiha. V. et al. 2019 Performance evaluation of routing protocols mobility models and simulation in MANET. Journal of emerging technologies & innovative research
12. Parganiha. V. et al. 2016. Big Data Analytics Approach to Measure Actual Customer Behaviour. International Journal of Engineering Science Invention Research & Development
13. Parganiha. V., et al. 2012. An Approach of Cryptography For Web User Authentication Using Secure Remote Password Protocol. International Journal of Computer Science Engineering and Technology.
14. Parganiha. V. et al. 2008, Mining Pattern Activity from Video Data. National Conference Technologia.
15. Parganiha. V., Sarda. A., and Dewangan. K. 2008. Security By Image Processing. International Conference on Recent Development in Mechnical Engineering.
16. arganiha. V. et al. 2008. Proposing An Efficient Method For Frequent Pattern Mining. World Academy of Science, Engineering and Technology.
17. Parganiha. V. et al. 2007. SAP/BANN (ERP) Implementation using Artificial Nural Network. International Conference on RASIET.

Book Chapter

1.  Parganiha, V., Shukla, S. P., & Sharma, L. K. (2022). Developing Decision Making and Risk Mitigation: Using CRISP?Data Mining. Data Mining and Machine Learning Applications, 281-315.

International Conference

1. Security by Image Processing. International Conference on Recent Development in Mechnical Engineering, 2008, pp. 722-725.
2. SAP/BANN (ERP) Implementation using Artificial Neural Network. International Conference on RASIET. 2007
3. Proposing an Efficient Method for Frequent Pattern Mining. World Academy of Science, Engineering and Technology, vol. 24, 2008, pp. 384-389.
4. Application of Artificial Neural Network for prevention of Power Theft. CONIAPS-X, University International Conference, GGU, Bilaspur.

MAJOR COURSES/ WORKSHOPS ATTENDED

1. National Workshop of two days on Robotics Related Programming organized by Department of Mechanical Engineering, MPCCET, Bhilai.
2. National Workshop of two days on Application of Mathematics in Engineering and Technology organized by Department of Mathematics of Science and Humanities, MPCCET, Bhilai.
3. AICTE Sponsored Summer School of two weeks on Data Mining and Data Warehousing organized by Department of Electronics and Computer Science Engineering, VNIT, Nagpur.
4. National Workshop of two days on Cryptography & Security organized by Department of Electronics & Telecommunication Engineering, CCET, Bhilai.
5. ISTE STTP of four weeks on Introduction to Design of Algorithms (25th May - 30th May, 2015), conducted under the National Mission on Education through ICT (MHRD, Govt. of India), from IITB at Department of CSE, BIT, Durg
6. AICTE Training and Learning (ATAL) Academy online FDP attended on "Artificial Intelligence and Machine Learning" from 04/10/2021 to 08/10/2021 at National Institute of Technology Raipur.
7. AICTE-CSVTU MoU TTP on Machine Learning Using Python from 26th May to 31st May 2021 at BIT, Durg.
8. Workshop on LINUX Basics and GitHub from 25th June to 30th June 2020 organized by Department of CSE, SSTC - SSGI, Bhilai in association with Spoken Tutorial IIT-BOMBAY.
9.  AICTE approved FDP on Big data analytics using Hadoop and Spark from 26th Nov. to 1st Dec. 2018 organized by BIT, Durg.
10. TEQIP III sponsored STTP on Deep Learning Techniques and its Applications from 28th Sept. 02nd Oct. 2017 at NIT, Raipur.