Department of Computer Science and Engineering

Sakifa Aktar

Blood Group:

Assistant Professor

Phone: +8801762899397

E-mail: sakifaaktar133089@gmail.com

Address:

Current Research working Topic


  • No Text Available

Short Biography


  • No Text Available

Current Research


  • No Current Research Topic Show

Research Interests


  • Image Processing, Deep Learning, Computer Vision, AI

Degree Name Group/Major Subject Board/Institute Country Passing Year
Not Found!

B.Sc. (Eng.) from RUET

No MPhil Information Found!
No Graduate Information Found!
No Undergraduate Information Found!
SL Collaboration & Membership Name Type Membership Year Expire Year
Membership not Found!
Award/Scholarship Type Title Year Country Description
Award Information not Found!

Teaching Experience (BSMRSTU)

Designation Joining Date
Lecturer

0000-00-00

Assistant Proffesor

0000-00-00

Associate Professor

0000-00-00

Professor

0000-00-00

Experience on other institute(Teaching, Research, Consultancy)

Title Organization Location From Date To Date
Exprience not Found!

Academic/Administrative Role


Student Guidance

Level Number
PhD

0

MPhil

0

Graduate

0

Under Graduate

0

Conference (As a Chair)

Title Organization Location From Date To Date
Data not Found!

Course Taught(Under Gradute, Graduate)


  • No data Found!!!

Course Material


Course Material 1 Not Available
Course Material 2 Not Available
Publication TypePublication TitlePublished Year
Journal ArticlesSakifa Aktar; Ashis Talukder; Md. Martuza Ahamad; A. H. M. Kamal; Jahidur Rahman Khan; Md. Protikuzzaman; Nasif Hossain; Salem A. Alyami; AKM Azad; Julian M.W. Quinn; Mathew A. Summers; Teng Liaw; Valsamma Eapen and Mohammad Ali Moni. (2021).Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19. Diagnostics, 11, 8:1383.  View2021
Journal ArticlesSakifa Aktar; Md. Martuza Ahamad; Md. Rashed-Al-Mahfuz; Shahadat Uddin; A H M Kamal; SalemA. Alyami; Ping-I Lin; Sheikh Mohammad Shariful Islam; Julian M.W. Quinn; Valsamma Eapen and Mohammad Ali Moni. (2021). Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development. JMIR Medical Informatics, Publisher: Journal of Medical Internet Research. View2021
Conference Nayeem Hossain; Md. Martuza Ahamad; Sakifa Aktar and Mohammad Ali Moni. (2021). Movie Genre Classification with Deep Neural Network using Poster Images. In International conference on information and communication technology for sustainable development (ICICTSD2020) (pp.195–199). View2021
Journal ArticlesMd. Martuza Ahamad; Sakifa Aktar; Md. Rashed-Al-Mahfuz; Shahadat Uddin; Pietro Liò; Haoming Xu; Matthew A. Summers; Julian M.W. Quinn and Mohammad Ali Moni. (2020). A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Systems with Applications, Publisher: Elsevier, 160, 113661. View2020
Conference Sakifa Aktar, Mamun, M. A., Multi-View 3D Object Retrieval using Autoencoder & Deep Embedding Network, International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong University of Engineering and Technology, Cox’s Bazar, Bangladesh. View2019
Conference Sakifa Aktar, Mamun, M. A., Hossain, M. A Comparative Study of Multi-View 3D Object Retrieval with Autoencoder & Deep Embed-ding Network, 21st International Conference of Computer and Information Technology (ICCIT), United International University, Dhaka, Bangladesh. View2018
Journal Papers Not Available
Conference Papers Not Available

Book/Book Chapter

Book Name Author Name Publish Organization Publish Year
Book not Found!
CV Not Available