Subashish

Email: subashishkundu@ce.buet.ac.bd
PABX No:
Room No: 648
Personal web page

Nishatee Binte Shahid

Lecturer
DEPARTMENT OF CIVIL ENGINEERING

Specialization: Structural Engineering

Islam, S. R., Sunny, S. K., Ali, M. A. (2022). “Prediction of the Concentration of Particulate Matter in the Air of Dhaka City considering the Seasonal Factors using Multiple Linear Regression,” In proceedings of 5th Annual Paper Meet and 2nd Civil Engineering Congress, 25-29

Education

  • M.Sc. in Civil Engineering (Environmental), BUET, Dhaka, Bangladesh, 2024.
  • B.Sc. in Civil Engineering, BUET, Dhaka, Bangladesh, 2021.

Research Interest

  • Air Quality Modelling, Climate Resiliency, Hazard Risk Mitigation

Research Awards

  • Dean’s Award: For outstanding academic performance in each academic year of undergraduate study
  • University Merit Scholarship: For outstanding academic performance in each term of undergraduate study

Professional Work at National and International Levels

  • Member, organizing committee, a seminar on the challenges faced during the construction of the Padma Multipurpose Bridge Project (August 4, 2022)

Selected Publications

  1. Jadid, R., Shahriar, A. R., Rahman, M. R., & Sunny, S. K. (2023). “Three-dimensional finite element analysis of a vertical anchor embedded in granular soil,” International Journal of Geotechnical Engineering, 17(2), 209–218.
  2. Sunny, S. K., Rahman, S. M. (2023). “Recovery and Resilience of Bangladesh Railway Network under Flood Disaster Scenarios,” In proceedings of 9th International Conference on Water and Flood Management, 172-173
  3. Islam, S. R., Shorno, S. A., Sunny, S. K., Ali, M. A. (2022). “Meteorological Parameters as Covariates in Artificial Neural Network for the Prediction of Particulate Matter Concentration,” In proceedings of 6th International Conference on Advances in Civil Engineering, 127-131.
  4. Islam, S. R., Sunny, S. K., Ali, M. A. (2022). “Prediction of the Concentration of Particulate Matter in the Air of Dhaka City considering the Seasonal Factors using Multiple Linear Regression,” In proceedings of 5th Annual Paper Meet and 2nd Civil Engineering Congress, 25-29