K DHINAKARAN

@citchennai.edu.in

Chennai Institute of Technology

K DHINAKARAN


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EDUCATION

Pursuing Ph.D at Anna University, Chennai
I have completed my M.E at College of Engineering, Guindy, Anna University, Chennai
I did my B.E at Thiagarajar College of Engineering, Madurai

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Vision and Pattern Recognition, Multidisciplinary, Computer Science Applications
4

Scopus Publications

5

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Enhancing ODI Cricket Score Forecasting Using AI: A Data-Driven Approach with Machine Learning Models
    Dhinakaran Krishnan, S. Anbuchelian, P. Vanitha
    2025 International Conference on Data Science Agents and Artificial Intelligence Icdsaai 2025, 2025
  • A Web-Based System for QR Code Flag Identification and DecodingWith Python and Flask
    Semmathi G S, Dhinakaran Krishnan, G Muthupandi
    2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
    The flag-identifying tool based on QR codes here is fresh and made exclusively for a Kali Linux environment, developed in Flask for the Web. Most of them are the traditional or default QR code scanners, it's a complete zbarimg-tool, which is available as a native tool in many Linux Flavors, so it is most compatible and performs better in a Kali setup as compared to its counterparts. The tool simply does QR code reading from a very particular local machine folder along a very organized, systematic approach in handling images. Users will upload images containing QR codes over a web interface, while app.py works to process the images, decode the data, and ultimately reveal Capture The Flag (CTF) lying within the images. Indeed, only the relevant flags would return, thus saving on the user time during a CTF or cybersecurity training session. Taking advantage of native command-line utilities makes the project an offering that is indeed innovative and a first in the field of QR-code flag output extraction. This organized structure affords the tool orderly file storage and processing, a strong and scalable solution to a lover of cybersecurity and a professional. Well, this QR flag decoder is up and coming, as it emphasizes simplicity, accuracy, and using Linux-native utilities-a really big leap forward in automated QR decoding for CTF challenges and beyond.
  • Unveiling Patterns in Social Media Interactions—Recurrent Neural Networks for Deep Learning Behavioural Analysis
    Biju Balakrishnan, S. Muthumarilakshmi, Dhinakaran Krishnan, R. Kavitha, R. Amudha
    Lecture Notes in Networks and Systems, 2025
  • Predictive Modelling of Social Media Behaviour Using Deep Learning: A Big Data Analytics Approach
    Biju Balakrishnan, S. Muthumarilakshmi, Dhinakaran Krishnan, R. Sivakoumar, R. Amudha
    Lecture Notes in Networks and Systems, 2025

RECENT SCHOLAR PUBLICATIONS

  • GPS based tracking system for transit objects
    K Dhinakaran, S Srinath, S Sriram, R Venkateshwar
    2017 third international conference on science technology engineering … , 2017
    2017
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • GPS based tracking system for transit objects
    K Dhinakaran, S Srinath, S Sriram, R Venkateshwar
    2017 third international conference on science technology engineering … , 2017
    2017
    Citations: 5