Profile

Rubia Yasmin

Lecturer in Statistics
rubiayasmin0179@yahoo.com
01795450580
Faculty and Department Affiliation

Faculty of Science and Engineering
General Education Department

Degrees and Universities Attended

M.Sc.  in  Statistics,  First  Class  First;  Department  of  Statistics,  Pabna  University  of  Science  and  Technology,  Pabna,  Bangladesh
B.Sc.  in  Statistics,  First  Class  First;  Department  of  Statistics,  Pabna  University  of  Science  and  Technology,  Pabna,  Bangladesh
H.S.C.  (Science);  Pabna  Govt.  Women’s  College,  Pabna,  Bangladesh
S.S.C.  (Science);  Chak  Chhatiani  High  School,  Pabna,  Bangladesh.

Short Introduction

Rubia Yasmin is a dedicated Lecturer of Statistics in the General Education Department at City University, Dhaka, Bangladesh. She completed her B.Sc. (Honours) in Statistics in 2019 (examination held in 2021) and her M.Sc. in Statistics in 2021 (examination held in 2023) from Pabna University of Science and Technology. With a strong academic background and a passion for research, her areas of expertise include Machine Learning, Transfer Learning, Image Analysis, and Data Science. Skilled in tools like Python, R, SPSS, C++, and Microsoft Office. Rubia is not only proficient in data analysis but also deeply passionate about teaching and guiding students in their academic journeys. She is particularly interested in applying machine learning techniques to solve real-world problems, especially in the field of public health. In recognition of her exceptional research potential, Rubia is a proud holder of the NST Fellowship for Research, awarded by the Ministry of National Science and Technology, Bangladesh.

Teaching experience

• Lecturer,  General  Education  Department,  City  University,  February  14,  2025  to  Present.

Research Interest

• Machine  Learning
• Image  Analysis
• Artificial  Intelligence
• Data  Science  

Publications

 Md.  Shamim  Reza,  Ruhul  Amin,  Rubia  Yasmin,  Woomme  Kulsum,  Sabba  Ruhi,  “Improving  Diabetes  Disease  Patients  Classification  Using  Stacking  Ensemble  Method  with  PIMA  and  Local  Healthcare  Data”,  Heliyon,  Volume  10,  Issue  2,  2024,  e24536,  ISSN  2405-8440.

 Md.  Shamim  Reza,  Umme  Hafsha,  Ruhul  Amin,  Rubia  Yasmin,  and  Sabba  Ruhi.”  Improving  SVM  Performance  for  Type  II  Diabetes  Prediction  with  an  Improved  Non-Linear  Kernel:  Insights  from  the  PIMA  Dataset.”  Computer  Methods  and  Programs  in  Biomedicine  Update,  Volume  4,  2023,  100118,  ISSN  2666-9900,  https://doi.org/10.1016/j.cmpbup.2023.100118.

 Rubia  Yasmin,  Ruhul  Amin,  &  Dr.  Md.  Shamim  Reza,  “Effects  of  hybrid  non-linear  feature  extraction  method  on  different  data  sampling  techniques  for  liver  disease  prediction,”  Journal  of  Future  Sustainability,  vol.  2,  no.  2,  pp.  57–64,  2022,  doi:  10.5267/j.jfs.2022.9.005.

 Ruhul  Amin,  Rubia  Yasmin,  Sabba  Ruhi,  Md.  Habibur  Rahman,  Md.  Shamim  Reza,  “  Prediction  of  chronic  liver  disease  patients  using  integrated  projection  based  statistical  feature  extraction  with  machine  learning  algorithms”,  Informatics  Medicine  Unlocked,  vol.  36,  no.  June  2022,  p.  101155,  2023,  doi:  10.1016/j.imu.2022.101155.

 Rubia  Yasmin,  Ruhul  Amin,  &  Dr.  Md.  Shamim  Reza,  “Effect  of  Integrated  Kernel  PCA  Function  on  Data  Sampling  Techniques  for  Liver  Disease  Prediction,”  BAUET  Journal,  vol.  03,  issue  02:  page:  40–47,2022.

Conference  Proceedings:
 Rubia  Yasmin,  Ruhul  Amin,  and  Md  Shamim  Reza.  “Design  of  Novel  Feature  Union  for  Prediction  of  Liver  Disease  Patients:  A  Machine  Learning  Approach.”  In  The  Fourth  Industrial  Revolution  and  Beyond:  Select  Proceedings  of  IC4IR+,  pp.  515-526,  Lecture  Notes  in  Electrical  Engineering,  2023  (Springer  Nature).

 Rubia  Yasmin,  Md.  Shamim  Reza.  “Diagnosing  Tuberculosis  from  Chest  X-Ray  Images  with  Deep  Transfer  Learning  Based  Feature  extraction”.  8th  International  Conference  on  The  Role  of  Statistics  and  Data  Science  in  4IR,  pp.130,  December  26-28,  2024,  University  of  Rajshahi,  Bangladesh.

Certifications  and  Licenses:
Online  non-credit  courses  authorized  by  different  university  and  offered  through  Coursera:

 Predictive  Modeling,  Model  Fitting,  and  Regression  Analysis;  University  of  California,  Irvine  (2021).

 Data  Science  in  Real  Life;  Johns  Hopkins  University  (2021).

 Structuring  Machine  Learning  Projects;  DeepLearning.AI  (2021).

 Intro  to  Analytic  Thinking,  Data  Science,  and  Data  Mining;  University  of  California,  Irvine  (2021).

 Fitting  Statistical  Models  to  Data  with  Python;  University  of  Michigan  (2020).

 Understanding  and  Visualizing  Data  with  Python;  University  of  Michigan  (2020).