University of Science and Technology Chittagong

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Shyama Barna Bhattacharjee

Shyama Barna Bhattacharjee

Lecturer
Computer Science and Engineering
Email: shyama@ustc.ac.bd

Profile

I am a career-oriented individual with a strong focus on technology. I completed my SSC in 2010 and HSC in 2012 under the Chittagong board. Following that, I pursued a Bachelor of Technology in 2018. After graduation, I joined Veerera Private Limited as an Executive Officer, providing administrative support to the company’s E-commerce and ERP system. I excelled in maintaining customer relationships, public dealing, and aligning customer demands with the company’s supply chain management. I successfully managed official targets, achieved business goals, and balanced my personal life.

Subsequently, I was awarded a fully-funded ICCR scholarship, enabling me to complete a Master of Technology in Computer Engineering with a performance exceeding 80%.I’ve published research paper on optimizing load balancing in the realms of cloud computing and also I have authored a research paper titled “An Efficient Framework for Secure Data Transmission using Blockchain in IoT Environment” in Journal of Autonomous Intelligence.

Education

  • Master of Technology in Computer Engineering  ( 2020-2022),  University of Engineering and Technology,  Kurukshetra University Kurukshetra.

Program Affiliated

  • B.Sc. in Computer Science and Engineering

Areas of Interest

  • Cloud Computing
  • Blockchain Technology
  • Artificial Intelligence.
  • Machine Learning

Courses Taught

  • Database Management System

Journals & Articles

  • Load Balancing in Cloud Computing Using Multi-agent-Based Algorithms(https://link.springer.com/book/10.1007/978-981-99-2271-0 Au)
  • An Efficient Framework for Secure Data transmission using Blockchain in IoT Environment ( Journal of Autonomous Intelligence)
  • Performance Evaluation of Various Load Balancing Techniques in Cloud Computing.( IEEE Conference, ICIIP, 2023)
  • Reliable Communication in Underwater Acoustic Sensor Networks using Machine Learning Approaches. ( submitted)
  • Privacy preserved federated learning ecosystem for analyzing verbal communication. (Submitted).