Dr. Vinod Desai

@saividya.ac.in

Associate Professor, Dept. of Computer Science and Engineering
Sai Vidya Institute of Technology, Bengaluru affiliated to VTU

Dr. Vinod Desai


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https://researchid.co/vinodcd0891

EDUCATION

BE, M.Tech, Ph.D

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Computer Science, Computer Engineering, Computer Science Applications
2

Scopus Publications

39

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A Hybrid Approach to Data Pre-processing Methods
    Vinod Desai, Dinesha H A
    2020 IEEE International Conference for Innovation in Technology Inocon 2020, 2020
    This is an era of big data, as data is growing exponentially and resources are running out of infrastructure, so it is required to accommodate all the data that gets generated. We collect data in enormous amounts to derive meaningful conclusions, perform effective data analytics and improve decision making. As we don't have enough infrastructures to support data storage for huge volumes, it is needed to clean the data in compulsion. It is a mandatory to carry out a step before doing anything with the data. We call it pre-processing of data and this is carried out in various steps. Pre-processing includes data cleaning, data integration, data filtering, and data transformation and so on. As such preprocessing is not limited to the number of steps or a number of methods or definitive methods. We must innovatively preprocess the data before it is being consumed for data analytics. It has become a responsibility for every data analyst or big data researcher to handpick data for his or her analytics. Considering all these techniques in mind we are proposing a hybrid technique to leverage various algorithms available to pre-process our data along with minor modifications such as at the run time, choosing an algorithm or technique wisely based on the data that we have.
  • Comparative Analysis of different Algorithms for scheduling of tasks in Cloud Environments
    Murgesh V. Jambigi, Vinod Desai, Shrikanth Athanikar
    Proceedings of the International Conference on Computational Techniques Electronics and Mechanical Systems Ctems 2018, 2018
    Cloud computing provides on demand scalable resources for large scale distributed computing tasks. Scheduling of the large scale user tasks plays a significant role in improving performance of the cloud services. This paper presents a performance analysis of STFQ (Start Time Fair Queuing), WRR (Weighted Round Robin)and BVT (Borrowed Virtual Time) task scheduling algorithms for the cloud environment. The simulation results using CloudSim are used for comparing the performance of these three algorithms.

RECENT SCHOLAR PUBLICATIONS

  • Deepfakes Spark Implementation for Big Data Analytics
    A Muruganantham, A Balakumar, N Srinivas, CS Gupta, V Desai, ...
    Handbook of Research on Advanced Practical Approaches to Deepfake Detection … , 2023
    2023
    Citations: 1
  • Secure efficient task communication mechanisms for Big Data Environment
    VDD Annappaiah
    International Journal on Information Technologies and Security 15 (1), 3–14 , 2023
    2023
    Citations: 3
  • Reputation-based security model for detecting biased attacks in Bigdata
    VDDH Annappaiah
    Indonesian Journal of Electrical Engineering and Computer Science 29 (3 … , 2023
    2023
    Citations: 3
  • Efficient reputation-based Cyber attack detection mechanism for Big Data Environment
    VDHA Dinesh
    Indian Journal of Science and Technology 15 (13), 592–602 , 2022
    2022
    Citations: 1
  • Detection of DDoS Attack in TCP protocol using Hybrid Machine Learning Techniques
    V Desai, A Pradhani, S Majukar
    2020
  • Distributed Denial-of-Service Attack by SVM and KNN using Hybrid Machine Learning Techniques
    V Desai, MN Ambiger, MV Khanapuri
    2020
  • A Hybrid Approach to Data Pre-processing Methods
    DDHA Vinod Desai
    IEEE International Conference for Innovation in Technology (INOCON) Bangaluru , 2020
    2020
    Citations: 15
  • Comparative analysis of different algorithms for scheduling of tasks in cloud environments
    MV Jambigi, V Desai, S Athanikar
    2018 International Conference on Computational Techniques, Electronics and … , 2018
    2018
    Citations: 3
  • E-RTO management system
    MS Patil, BK Madagouda, VC Desai
    International Journal of Engineering Research & Technology (IJERT), ISSN … , 2013
    2013
    Citations: 10
  • Comparative analysis of dynamic programming algorithms to find similarity in gene sequences
    S Biradar, V Desai, B Madagouda, M Patil
    Int. J. Res. Eng. Technol 2 (8), 312-316 , 2013
    2013
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • A Hybrid Approach to Data Pre-processing Methods
    DDHA Vinod Desai
    IEEE International Conference for Innovation in Technology (INOCON) Bangaluru , 2020
    2020
    Citations: 15
  • E-RTO management system
    MS Patil, BK Madagouda, VC Desai
    International Journal of Engineering Research & Technology (IJERT), ISSN … , 2013
    2013
    Citations: 10
  • Secure efficient task communication mechanisms for Big Data Environment
    VDD Annappaiah
    International Journal on Information Technologies and Security 15 (1), 3–14 , 2023
    2023
    Citations: 3
  • Reputation-based security model for detecting biased attacks in Bigdata
    VDDH Annappaiah
    Indonesian Journal of Electrical Engineering and Computer Science 29 (3 … , 2023
    2023
    Citations: 3
  • Comparative analysis of different algorithms for scheduling of tasks in cloud environments
    MV Jambigi, V Desai, S Athanikar
    2018 International Conference on Computational Techniques, Electronics and … , 2018
    2018
    Citations: 3
  • Comparative analysis of dynamic programming algorithms to find similarity in gene sequences
    S Biradar, V Desai, B Madagouda, M Patil
    Int. J. Res. Eng. Technol 2 (8), 312-316 , 2013
    2013
    Citations: 3
  • Deepfakes Spark Implementation for Big Data Analytics
    A Muruganantham, A Balakumar, N Srinivas, CS Gupta, V Desai, ...
    Handbook of Research on Advanced Practical Approaches to Deepfake Detection … , 2023
    2023
    Citations: 1
  • Efficient reputation-based Cyber attack detection mechanism for Big Data Environment
    VDHA Dinesh
    Indian Journal of Science and Technology 15 (13), 592–602 , 2022
    2022
    Citations: 1
  • Detection of DDoS Attack in TCP protocol using Hybrid Machine Learning Techniques
    V Desai, A Pradhani, S Majukar
    2020
  • Distributed Denial-of-Service Attack by SVM and KNN using Hybrid Machine Learning Techniques
    V Desai, MN Ambiger, MV Khanapuri
    2020