Academics > Departments

Computer Science & Engineering (CSE)

Dr. Veeraraghavan Jagannathan

Associate Professor |

Teaching Experience: 16 yrs
Research Experience: 8 yrs


SVCEW Emp ID: 50008

  • Machine Learning,
  • Data Science
Degree Organization/Institution Specialization Year of Passing
Ph.D. NIT-Trichy Data Analytics 2017
M.Tech Anna University CSE 2008
B.Tech NIL    

Publications in Conferences (National/International)

  • Vidya, S., Veeraraghavan Jagannathan, T. Guhan, and Jogendra Kumar. “Long-term and short-term rainfall forecasting using deep neural network optimized with flamingo search optimization algorithm.” Journal of Intelligent & Fuzzy Systems Preprint: 1-19.(SCIE)
  • Gunisetti, Loshma, Shirin Bhanu Koduri, and Veeraraghavan Jagannathan. “Optimized deep learning system for smart maize leaf disease detection in IoT platform via routing algorithm.” Multimedia Tools and Applications 82.9 (2023): 13533-13555.(SCIE)
  • Jagannathan, Veeraraghavan. “Bayesian Probability and Tanimoto Based Recurrent Neural Network for Question Answering System.” Journal of web engineering 20.3 (2021): 903-934.(SCIE)
  • Jagannathan, Veeraraghavan, Senthilarasu Balasubramanian, and Thamaraiselvan Natarajan. “A modified approach for information systems success in the context of internet banking using structural equation modelling with R: an empirical study from India.” International Journal of E-Business Research (IJEBR) 12.3 (2016): 26-43.(Scopus)
  • ME, Veeraraghavan Jagannathan. “Information systems success in the context of internet banking: Scale development.” Journal of Internet Banking and Commerce 19.3 (2014): 1.(Scopus)

Publications in Journals (National / International)

  • Participated and Presented a paper titled “ A Signature and Anomaly Based Intrusion
  • Detection System” in the National Conference “Emerging Trends in Engineering
  • Technology” at Rajarajeswari Engineering College, Chennai, India on April 2008
  • Jagannathan, Veeraraghavan, Senthilarasu Balasubramanian, and Thamaraiselvan Natarajan. “An extension to the Delone and Mclean information systems success model and validation in the internet banking context.” Advanced Methodologies and Technologies in Business Operations and Management. IGI Global, 2019. 61-75.
  • Smart fruit picker for fruit categorization and quality identification – Published
    Date: 11/09/2020.

Certifications (Coursera)

  • Introduction to Artificial Intelligence, Tensorflow for Machine Learning, and Deep
    Learning
  • Python Data Structures
  • Neural Networks and Deep Learning(Part of Deep Learning.ai Specialization)
  • Programming for Everybody
  • Processing Data with Python
  • Linear Regression with Numpy and Python
  • Improving Deep Neural Networks: Hyperparameter
  • Attended Five day FDP on Artificial and Machine Learning at CMR Technical Campus,Hyderabad from 18/05/2020 to 22/05/2020
  • Attended one week FDP on Big Data tools at St. Martyn’s Engineering College
    Hyderabad from 18/05/2020 to 23/05/2020
  • Attended one week FDP on Art of Writing Papers at Gokha Raju Rengaraju Institute of Technology , Hyderabad from 07/05/2020 to 13/05/2020
  • Attended five day workshop on Artificial Intelligence and Deep Learning at BennetUniversity, New Delhi from 04/05/2020 to 08/05/2020
  • A 6 day FDP on Soft Computing techniques for Analysis of Large Datasets, organized by NIT-Andhra Pradesh, Tadepalligudem, Feb-2019
  • Attended a 6 day workshop on “Computer Oriented Optimization Techniques and their applications in Engineering at Sri Vasavi Engineering College, Tadepalligudem organized by E&ICT Academy, NIT Warangal, on November,2017
  • 6 Day Workshop on Cloud computing using VMware organized by CSG, NIT, Trichy on June 2013.
  • Teaching advanced courses like Machine Learning and Data Science to both B.Tech and M.Tech Students
  • Internal BoS Member, Department of CSE
  • Guiding B.Tech, and M.Tech Students in their final year Projects.

UG Level:

  • Machine Learning, Data Structures and Algorithms, DBMS, Operating Systems, Computer Networks, Computer Organization and Architecture, Micro processor 8086 Programming and interfacing, Digital Logic Design, Cryptography and Network Security, Mobile Computing, Web technologies.
  • Programming Languages: C, Java, Python, JavaScript

 
PG Level:

  • Advanced Data Structures, Advanced Operating Systems, Cloud computing

The recent publications and research contributions can be viewed from the following URLs:

Profile Link
Google Scholar https://scholar.google.com/citations?hl=en&user=k2dNVecAAAAJ
Vidwan NIL
Research Gate NIL
ORCID https://www.scopus.com/authid/detail.uri?authorId=56506778100
Scopus https://www.scopus.com/authid/detail.uri?authorId=56506778100