Profile

Faculty and Department Affiliation

Faculty of Science and Engineering
Department of Computer Science and Engineering

Degrees and Universities Attended

PhD  in  Information  and  Communication  Technology  at  BUET  (On  going)
MSc    in    Computer    Science    and    Engineering    from    United    International    University
BSc    in    Computer    Science    and    Engineering    from    City    University

Short Introduction

Sharmin Akter received her BSc degree in Computer Science and Engineering from City University, Bangladesh and MSc degree in Computer Science and Engineering from United International University . Her Research interest include IoT, software coding, AI, Data Mining and Machine Learning. Currently conducted research on Machine learning and Data Mining. She teaches senior courses such as- Digital System Design, System Programming, Internet and Internet Technology, and also teaches entry level programming courses.

Teaching experience

Lecturer,    City    University,    Department    of    CSE,    from    August    2017    to    Present.
Gust  Lecturer  at  MH  Samorita  Nusring  College  from  02  May,  2017-31  October,  2023    

Research Interest

IoT,  Machine  Learning,  Data  Mining,  AI.

Publications

Journal

●  Rahman,  M.,  Islam,  M.  R.,  Akter,  S.,  Akter,  S.,  Islam,  L.,  &  Xu,  G.  “DiaVis:  Exploration  and
Analysis  of  Diabetes  through  Visual  Interactive  System.”  Human-Centric  Intelligent
Systems(HCIS),  Volume  1,  Issue  3-4,  December  2021,  pp  75  –  85.
doi:10.2991/hcis.k.211025.001.
●  Sharmin  Akter,  Md.  Imtiaz  Nayeem  "Cancer  Registry  Importance  in  Bangladesh:  A  Review  and
A  Mobile  Application  Based  Solution”,  City  University  Journal,  Volume  5,  Number  1,
December  2020,  pp.8-15,  ISSN:  2412-2823.
●  Sharmin  Akter,  Imtiaz  Nayeem"Automated  Solar  Panel  With  Web  Monitoring”  American
Journal  of  Engineering  Research  (AJER),  vol.  7,  no.  2,  2018,  pp.  35-44.ISSN:2320-0847.

Conference

●  Md.  Maidul  Islam  ,  Tanzina  Nasrin  Tania,  Sharmin  Akter,  Kazi  Hassan  Shakib,”  An  Improved
Heart  Disease  Prediction  Using  Stacked  Ensemble  Method”,  International  Conference  on
Machine  Intelligence  and  Emerging  Technologies  2022  (MIET  2022  vol  490.  Springer,  Cham.
https://doi.org/10.1007/978-3-031-34619-4_8.
●  P.  B.  Kabir  and  S.  Akter,  "Emphasized  Research  on  Heart  Disease  Divination  Applying  Tree
Based  Algorithms  and  Feature  Selection,"  2021  International  Conference  on  Innovative
Computing,  Intelligent  Communication  and  Smart  Electrical  Systems  (ICSES),  2021,  pp.  1-6,
doi:  10.1109/ICSES52305.2021.9633870.
●  M.  Rahman,  S.  Akter  and  P.  Kabir,  "Exploring  Psychosocial  Effects  of  the  COVID-19  on
University  Students  Using  Visual  Analytics,"  2021  International  Conference  on  Innovative
Computing,  Intelligent  Communication  and  Smart  Electrical  Systems  (ICSES),  2021,  pp.  1-6,
doi:  10.1109/ICSES52305.2021.9633846.
●  S.  Akter  and  M.  Huda,  "A  Machine  Learning  Based  Movie  Status  Evaluation  System  for
Bangladesh  Movies,"  2021  International  Conference  on  Computing,  Communication,  and
Intelligent  Systems  (ICCCIS),  2021,  pp.  624-629,  doi:  10.1109/ICCCIS51004.2021.9397206.
●  M.  M.  Islam,  T.  N.  Tania  and  S.  Akter,  "HDVis:  An  Interactive  Heart  Disease  Analysis
Through  Visualization  System,"  2022  IEEE  International  Conference  on  Data  Science  and
Information  System  (ICDSIS),  Hassan,  India,  2022,  pp.  1-6,  doi:
10.1109/ICDSIS55133.2022.9915972.
●  F.  Sarder,  S.  Akter  and  S.  Akter,  "Predicting  Dengue  Outbreak  from  Climate  Data  Using
Machine  Learning  Algorithms,"  2022  IEEE  International  Conference  on  Data  Science  and
Information  System  (ICDSIS),  Hassan,  India,  2022,  pp.  1-6,  doi:
10.1109/ICDSIS55133.2022.9915862.

Thesis
●  Akter,   Sharmin.   Evaluation   On   Dhallywood   Movies   Based   On   Machine   Learning.   Diss.
 United   International   University,   2020.
Google  Scholar:  https://scholar.google.com/citations?user=UxSLf48AAAAJ&hl=en&authus  er=3.