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Arpita Howlader

Assistant Professor
Department of Computer and Communication Engineering
Faculty of Computer Science and Engineering

Office Address

Room No 403, CSE Building (3rd Floor) Department of Computer and Communication Engineering

Phone

01833760618

Email

Personal Profile


Biography

ARPITA HOWLADER is currently working as an Assistant Professor of Department of Computer and Communication Engineering (CCE), Faculty of Computer Science and Engineering (CSE), Patuakhali Science and Technology University (PSTU), Bangladesh. She was awarded a Master’s degree in Computer Science and Engineering from Dhaka University of Engineering and Technology (DUET), Bangladesh in the year 2020. Earlier she completed her B.Sc degree in CSE in 2015 from Patuakhali Science and Technology University (PSTU), Bangladesh. Miss Arpita contributed to the area of Computer Networks, Image Processing, Pattern Recognition, Machine Learning and Data Analytic. She has published a number of publications and research articles in reputed journals and conferences including IEEE/Springer/Elsevier. She is a graduate student member of Institute of Electrical and Electronics Engineers (IEEE). Miss Arpita has served as a technical committee member and reviewer for different international journals and conferences worldwide.
 

Research Interest

  • Human-Computer Interaction
  • Machine Learning, Deep Learning
  • Internet of Things (IoT)
  • Wireless Communication & Sensor Network
  • Cyber Security
  • Quantum Computing
  • Image Processing
  • Data Mining


Qualifications

  • M.Sc, Dhaka University of Engineering and Technology (DUET) (2020)
  • B.Sc, Patuakhali Science and Technology University (2015)

Previous Positions

  • 2016-2019
    Lecturer Dhaka International University

Teaching overview

  • CCE - 211Data Communication and Engineering
  • CCE - 310Software Development Project-I
  • CCE - 321Computer Peripheral and Interfacing
  • CCE - 322Computer Peripheral and Interfacing Sessional
  • CCE - 323Optical Fiber and Communication
  • CCE - 413VLSI Design
  • CCE - 415Network Routing and Switching
  • CCE - 416Network Routing and Switching Sessional
  • CCE - 421Cryptography and Network Security

Membership

Expertise related to UN Sustainable Development Goal


Publications

Journal (10)

Arpita Howlader

FetalDenseNet: multi-scale deep learning for enhanced early detection of fetal anatomical planes in prenatal ultrasound

Journal of Perinatal Medicine. https://doi.org/10.1515/jpm-2025-0249

Arpita Howlader

Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach

Neuroscience Informatics Volume 5, Issue 2, June 2025, 100193, https://doi.org/10.1016/j.neuri.2025.100193

Arpita Howlader

Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan images

Journal Scientific reports, Volume 12, Issue 1, Pages 21796, Publisher Nature Publishing Group UK

Arpita Howlader

Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

Intelligent Systems with Applications, Volume 16, November 2022, 200144, https://doi.org/10.1016/j.iswa.2022.200144

Arpita Howlader

Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach

Dey SK, Rahman MM, Howlader A, Siddiqi UR, Uddin KMM, Borhan R, et al. (2022) PLoS ONE 17(7): e0270933. https://doi.org/10.1371/journal.pone.0270933

Arpita Howlader

Epidemic trend analysis of SARS-CoV-2 in South Asian Association for Regional Cooperation countries using modified susceptible-infected-recovered predictive model

Journal Engineering Reports, Volume 5, Issue 1, Pages e12550, Publisher John Wiley & Sons, Inc.

Arpita Howlader

Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis

Human vaccines & immunotherapeutics, Volume 18, Issue 1, Publisher Taylor & Francis

Arpita Howlader

Exploring epidemiological behavior of novel coronavirus (COVID-19) outbreak in Bangladesh

SN comprehensive clinical medicine, Volume 2, Issue 10, Pages 1724-1732, Publisher Springer International Publishing

Arpita Howlader

Exploring Epidemiological Behavior of Novel Coronavirus Outbreak through the Development and Analysis of COVID-19 Daily Dataset in Bangladesh

 medRxiv , preprint for Health Science, doi: https://doi.org/10.1101/2020.06.30.20143909 

Arpita Howlader

Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach

SK Dey, MM Rahman, UR Siddiqi, A Howlader;(2020 ) Journal of medical virology, Volume 92, Issue 6, Special Issue on New coronavirus (2019‐nCoV or SARS‐CoV‐2) and the outbreak of the respiratory illness (COVID‐19): Part‐III June 2020, Pages 632-638


 

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    Arpita Howlader
    Department of Computer and Communication Engineering
    Faculty of Computer Science and Engineering
    Email: arpita.cse@pstu.ac.bd
    Phone: 01833760618
    SL Code Title File Uploaded Date File Download Link
    1 CCE - 211 Data Communication and Engineering 2024-04-01
    2 CCE - 310 Software Development Project-I 2024-04-01
    3 CCE - 321 Computer Peripheral and Interfacing 2024-04-01
    4 CCE - 322 Computer Peripheral and Interfacing Sessional 2024-04-01
    5 CCE - 323 Optical Fiber and Communication 2024-04-01
    6 CCE - 413 VLSI Design 2024-04-01
    7 CCE - 415 Network Routing and Switching 2024-04-01
    8 CCE - 416 Network Routing and Switching Sessional 2024-04-01
    9 CCE - 421 Cryptography and Network Security 2024-04-01