SUSL Staff Directory

Mr. Charith Atapattu

Lecturer (prob.)

charith@geo.sab.ac.lk

Office: +94-0453453019

Fax: +94-0453453019

Qualifications

Master of Computer Science (2017 -2019)

  • University: Southern Illinois University, Illinois USA.
  • Category: Deep Learning / Machine Learning

Bachelor of Science in Computer Science

  • University: University of Peradeniya, Sri Lanka
  • Category: Artificial Intelligence

Profile

  • Interests and Specialties:

I am interested in Interdisciplinary research topics, Deep Learning/ Machine Learning, Computer security and big data related fields. My research field encompasses two areas: 1) developing/optimize neural networks and their application to Artificial intelligence modernization due to emerging machine learning techniques, which is a topic within the Computer Science discipline, and 2) modernizing insecure legacy information systems with software reengineering-based smart and secure computing, in which Information Assurance and Cybersecurity is a focus. Each area is further expanded into specific topics below:

 

  1. Machine Learning for Emerging Artificial Intelligent Techniques
    1. Deep learning with Generative Adversarial Networks (GANs)
    2. Implementation of Deep learning algorithms using Python / Tensorflow / Keras/ Pandas
    3. Neural network Applications & Tools
    4. Data analyzing and prediction – Recurrent Neural network and applications
    5. IOT fraud detection – Neural network approach to fraud detection

 

  1. Information Assurance & Cybersecurity
    1. Software Reengineering Based Gray Box Penetration Testing
    2. Real-Time Intelligent Intrusion Detection, Analysis, and Response - Insider Attacks
    3. Software Reengineering-Based Secure Coding
    4. Model-Driven Secure Scrum
    5. Secure Applications deployment and maintaining- Cloud Computing

Membership of Professional Bodies/Associations

  • Asterisk call center management certificate

Research Interests

Interests and Specialties:

I am interested in Interdisciplinary research topics, Deep Learning/ Machine Learning, Computer security and big data related fields. My research field encompasses two areas: 1) developing/optimize neural networks and their application to Artificial intelligence modernization due to emerging machine learning techniques, which is a topic within the Computer Science discipline, and 2) modernizing insecure legacy information systems with software reengineering-based smart and secure computing, in which Information Assurance and Cybersecurity is a focus. Each area is further expanded into specific topics below:

 

  1. Machine Learning for Emerging Artificial Intelligent Techniques
    1. Deep learning with Generative Adversarial Networks (GANs)
    2. Implementation of Deep learning algorithms using Python / Tensorflow / Keras/ Pandas
    3. Neural network Applications & Tools
    4. Data analyzing and prediction – Recurrent Neural network and applications
    5. IOT fraud detection – Neural network approach to fraud detection

 

  1. Information Assurance & Cybersecurity
    1. Software Reengineering Based Gray Box Penetration Testing
    2. Real-Time Intelligent Intrusion Detection, Analysis, and Response - Insider Attacks
    3. Software Reengineering-Based Secure Coding
    4. Model-Driven Secure Scrum
    5. Secure Applications deployment and maintaining- Cloud Computing

Current Research Projects

RESEARCH AND CREATIVE ACTIVITY

  • Ethereum Wallet Manager for MetaMask, Ledger, Trezor and WalletConnect – Pen-testing and localization (Adding Sinhala & Tamil languages) for BalanceIO app.
  • UKC2018 Conference Registration System – Customized Wordpress plugin implemented for the registration management system. Plugin name – ukc2018.
  • Introduction to the Decentralized applications using Ethereum blockchain at SIUC – Truffle Framework

Recent Publications

2018

      Refereed Oral Presentation / Abstract publication

  • Atapattu C., Chung, S, An Architectural Analysis of a Blockchain-Based Web Application for Supporting Smart Contracts and Hardening Security. ACM SIGITE 2018
  • Hong.J, Atapattu, C.,Chung,S., Architectural Modeling of a Web App using MEAN Full Stack. UKC2018 New York. (Poster presentation 3rd place- Presenter: Charith Atapattu)

Manuscripts in preparation

  • Atapattu C., Khamesipour A., Moradi M., Chung, S., SIU online prospect student contact management system using MEAN full stack
  • Moradi, M., Chung, S., Atapattu, C., Khamesipour, A., A Case Study of using Google Adwords for advertising Information systems technologies degree program

Submitted Book Chapter

  • Chung, S., Jung H., Khamesipour A., Atapattu C., Moradi M., Evidence-Based Practices for Development and Operations with Security (EBP4DevSecOps) for Early Security Education

2017

Undergraduate Research Refereed Poster

    • Jeremy Y. Kim, Khamesipour, A., Atapattu, C, Mahdi Moradi, Abdallah Jameel Al-Khayri. (Poster Presentation). A Case Study of Applying Node.js in Basic Drone Programming and Web Development. CASA Symposium, 2017 (Second Place)

2015

Refereed Oral Presentation / Abstract publication

    • P.M.P.C.Gunathilake,P.D.C.R. Jayarathna, Charith Atapattu,Sachith Premasiri, Vajira Karunathilake and Motoki Furue. An Intelligent Approach to Electricity Wastage Minimization. Presentation at the Sri Lanka Japan collaborative research International Symposium on, Kandy, Sri Lanka. November, 2015

Completed Research Projects

  • Student Registration application – MEAN full stack application (Web and mobile)
  • Summer course registration system - MEAN full stack application (Web and mobile)
  • Summer code camp – Drone programming (Nodejs)
  • Student Registration System Dashboard – Ionic 3/Angular 4, WordPress JSON API- Apple & Android mobile App
  • Offline student information backup system - PHP/ MySQL/ AJAX
  • Introduction to the Decentralized applications using Ethereum blockchain – Truffle Framework