Welcome to my GitHub profile! 🚀
Data Scientist and PhD-qualified Computer Science researcher with 10+ years of experience in predictive mod- elling, machine learning, data analysis, research analytics, and higher education across Australia and interna- tionally. Strong hands-on capability in Python, SQL, R, statistical analysis, machine learning, feature engi- neering, data preprocessing, and model evaluation. Experienced in developing predictive models using XGBoost, CNN, LSTM, RNN, and Transformer architectures and translating complex datasets into evidence-based insights and recommendations.

• PhD in Computing, Mathematics, and Engineering
  Charles Sturt University, Bathurst, NSW, Australia (2022–2026)
  Specialization: Quantum image computing, AI in big data analytics.

• M.Sc. in Electrical, Electronic, and Systems Engineering
  National University of Malaysia, Malaysia (2012–2015)
  Specialization: Topology construction and maintenance protocols for WSN networks.

• Sessional Academic
  Charles Sturt University, Bathurst, NSW, Australia (Dec 2022–Nov 2023)

• Senior Lecturer
  Feni University, Bangladesh (2019–Present)

• Lecturer
  Z.H. Sikder University of Science and Technology, Bangladesh (2017–2019)

• Research Scholar (AGRTP Scheme)
  Charles Sturt University, Bathurst, Australia (2022–2025)

• Graduate Research Assistant
  SUCOMBS Lab, National University of Malaysia, Malaysia (2012–2014)

• Book Chapter: Toward Optimum Topology Protocol in Health Monitoring, Springer Nature.
• Book: Optimum Topology Investigation Technique in Wireless Sensor Network (Available on Amazon).
• Key Journal Articles:
  • Advanced quantum image representation and compression (Scientific Reports, 2023, IF: 4.9).
  • Impact analysis of COVID-19 recovery using deep learning (Multimedia Tools and Applications, 2024, IF: 3.6).
  • Hybrid approaches for enhancing WSN lifespan (Scientific Reports, 2022, IF: 4.9).

For a detailed list of publications, visit my Google Scholar Profile.

• Programming Languages: Python, MATLAB, C, C++, R
• Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
• Tools: Tableau, QGIS, HFSS, Atarraya Simulator
• Research Specializations: Quantum computing, deep learning, IoT, WSN

• Awards:

  • Travel Grant Award, CSU (2024)
  • RTP Scholarship, Charles Sturt University (2021–2024)
  • UKM Research Fellowship Scheme (2013–2014)

• Professional Activities:

  • Reviewer: IEEE Computer Society Journal, EAI, IEEE Sensors Journal
  • Member: IEEE Region 10 and IEB Accreditation Committee

• Email: ershadul.ruet05@gmail.com
• Google Scholar: Scholar Profile