EXTERNAL PROFILES
Professor
Prof. Dr. Abidur Rahaman
Born in 1984, Joined in Dept. of ICE, NSTU as a Lecturer in 26th May 2013, Post-doc and PhD in Information Display from the Kyung Hee University, South Korea.
Information and Communication Engineering
BIOGRAPHY
Born in 1984, Joined in Dept. of ICE, NSTU as a Lecturer in 26th May 2013, Post-doc and PhD in Information Display from the Kyung Hee University, South Korea.
RESEARCH INTERESTS
2023 - 2024
Post-Doc
Information Display
Kyung Hee University, South Korea
2016 - 2020
PhD
Information Display
Kyung Hee University, South Korea
2008 - 2009
MSc (Thesis) in Applied Physics Electronics and Communication Engineering
Applied Physics Electronics and Communication Engineering
Dhaka University
2003 - 2006
B.Sc (Hons) in Applied Physics Electronics and Communication Engineering
Applied Physics Electronics and Communication Engineering
Dhaka University
2001 - 2002
HSC
Science
Dhaka College
1996 - 2000
SSC
Science
Bamni High School
Last updated on 2025-09-23 10:31:45
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AWARDS AND ACHIEVEMENTS
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2024
Journal
High Speed Level-Down Shifter Using LTPO TFTs for Low Power and Interface Electronics
Authors: Sunaina Priyadarshi; Abidur Rahaman; Mohammad Masum Billah; Sabiqun Nahar; Md. Redowan Mahmud Arnob; Jin Jang
Journal: IEEE Journal of the Electron Devices Society, Publisher: IEEE
, Volume: 12
, Issue: --
, Page: 587-593
DOI: 10.1109/JEDS.2024.3438210
2024
Journal
Design and analysis of performance parameters for achieving high efficient ITO/PEDOT: PSS/P3HT: PCBM/Al organic solar cell
Authors: Chandra Shekhar Kundu, Apurba Adhikary, Md Shamim Ahsan, Abidur Rahaman, Md Bipul Hossain, Avi Deb Raha, Saydul Akbar Murad, Farid Ahmed
Journal: Journal of Optics, Publisher: Springer India
, Volume: 53
, Issue: 01
, Page: 342-353
DOI: 10.1007/s12596-023-01230-w
2024
Journal
A Study on High Performance, Dual-Gate a-IZO/a-IGZTO TFTs with Excellent Stability
Authors: Sabiqun Nahar; Sunaina Priyadarshi; Mohammad Masum Billah; MD Redowan Mahmud Arnob; Abidur Rahaman; Jung Bae Kim
Journal: IEEE Electron Device Letters, Publisher: IEEE
, Volume: 45
, Issue: 10
, Page: 1835-1838
DOI: 10.1109/LED.2024.3442152
2023
Journal
A compact DC–DC converter using low-temperature poly-Si oxide thin-film transistors
Authors: Sunaina Priyadarshi, Abidur Rahaman, Mohammad Masum Billah, Sabiqun Nahar, Jin Jang
Journal: IEEE Electron Device Letters, Publisher: IEEE
, Volume: 44
, Issue: 10
, Page: 1640-1643
DOI: 10.1109/LED.2023.3311459
2022
Journal
Bioinformatics Approach to Identify Significant Biomarkers, Drug Targets Shared Between Parkinson’s Disease and Bipolar Disorder: A Pilot Study
Authors: Md. Bipul Hossain, Md. Kobirul Islam, Apurba Adhikary, Abidur Rahaman, and Md. Zahidul Islam
Journal: SAGE Bioinformatics and Biology Insights, Publisher: SAGE
, Volume: 16
, Issue: 00
, Page: --
DOI: https://doi.org/10.1177/11779322221079232
2022
Journal
Performance evaluation of micro lens arrays: Improvement of light intensity and efficiency of white organic light emitting diodes
Authors: Apurba Adhikary, Joy Bhuiya, Saydul Akbar Murad, Md Bipul Hossain, KM Aslam Uddin, MD Estihad Faysal, Abidur Rahaman, Anupam Kumar Bairagi
Journal: Plos One, Publisher: Public Library of Science
, Volume: 17
, Issue: 05
, Page: --
DOI: https://doi.org/10.1371/journal.pone.0269134
2022
Journal
Light intensity and efficiency enhancement of n-ZnO/NiO/p-GaN heterojunction-based white light-emitting diodes using micro-pillar array
Authors: Apurba Adhikary, Md Shamim Ahsan, Md Bipul Hossain, Abidur Rahaman, SH Shah Newaz, Farid Ahmed, Hun-Kook Choi, Ik-Bu Sohn
Journal: Journal of Optics, Publisher: Springer India
, Volume: 51
, Issue: 03
, Page: 526-537
DOI: https://doi.org/10.1007/s12596-022-00836-w
2021
Journal
Prediction on Domestic Violence in Bangladesh during the COVID-19 Outbreak Using Machine Learning Methods
Authors: Md. Murad Hossain ,Md. Asadullah ,Abidur Rahaman ,Md. Sipon Miah ,M. Zahid Hasan, Tonmay Paul, andMohammad Amzad Hossain
Journal: Applied Systems Innovation, Publisher: MDPI
, Volume: 4
, Issue: 4
, Page: 77
DOI: https://doi.org/10.3390/asi4040077
2021
Journal
Enhanced current mirror circuit by dual-gate coplanar amorphous InGaZnO TFTs
Authors: Abidur Rahaman, Apurba Adhikary, Mohammad Amzad Hossain, Md Mobaidul Islam, Jin Jang
Journal: Wiley International Journal of Circuit Theory and Applications, Publisher: Wiley
, Volume: 50
, Issue: 3
, Page: 1015-1020
DOI: https://doi.org/10.1002/cta.3198
2020
Journal
A High-Gain CMOS Operational Amplifier Using Low-Temperature Poly-Si Oxide TFTs
Authors: Abidur Rahaman; Hansol Jeong; Jin Jang
Journal: IEEE Transactions on Electron Devices, Publisher: IEEE
, Volume: 67
, Issue: 02
, Page: 524-528
DOI: 10.1109/TED.2019.2958053
2019
Journal
A High Performance Operational Amplifier Using Coplanar Dual Gate a-IGZO TFTs
Authors: Abidur Rahaman; Yuanfeng Chen; Md. Mehedi Hasan; Jin Jang
Journal: IEEE Journal of the Electron Devices Society, Publisher: IEEE
, Volume: 7
, Issue: 00
, Page: 655-661
DOI: 10.1109/JEDS.2019.2923208
2019
Journal
High Speed and Wider Swing, Level Shifter Using Low-Temperature Poly-Silicon Oxide TFTs
Authors: Abidur Rahaman; Duk Young Jeong; Jin Jang
Journal: IEEE Electron Device Letters, Publisher: IEEE
, Volume: 40
, Issue: 11
, Page: 1772-1775
DOI: 10.1109/LED.2019.2941548
2018
Journal
Effect of Doping Fluorine in Offset Region on Performance of Coplanar a-IGZO TFTs
Authors: Abidur Rahaman; Mohammad Masum Billah; Jae Gwang Um; Md Mehedi Hasan; Jin Jang
Journal: IEEE Electron Device Letters, Publisher: IEEE
, Volume: 39
, Issue: 09
, Page: 1318-1321
DOI: 10.1109/LED.2018.2856760
2023
Conference
High Current Stress Analysis for p-type LTPS Thin Film Transistor with Split Active Layer for High Current Driving AMOLED Display
Authors: Sabiqun Nahar, Sunaina Priyadarshi, Abidur Rahaman, Heonbang Lee, MD Redowan Mahmud Arnob and Jin Jang
Conference: NTERNATIONAL DISPLAY WORKSHOPS, 2023, Japan
, Page: 274-277
, Publisher: PROCEEDINGS OF THE INTERNATIONAL DISPLAY WORKSHOPS, 2023
2023
Conference
Highly Stable Dual Gate a- InGaZnO Thin Film Transistor with Top Gate to Drain Offset for AC Gate Pulse Stress
Authors: Sunaina Priyadarshi, Abidur Rahaman, Sabiqun Nahar and Jin Jang
Conference: INTERNATIONAL DISPLAY WORKSHOPS'2023, Nigata, Japan
, Page: 1049-1052
, Publisher: PROCEEDINGS OF THE INTERNATIONAL DISPLAY WORKSHOPS, 2023
2020
Conference
25-2: LTPO TFT Technology for Level Shifter Integrated Gate Driver in UHD 4K Displays
Authors: Abidur Rahaman, Hyunho Kim, Jin Jang
Conference: Society for Information Display Conference'2020, USA
, Page: 363-366
, Publisher: Society for Information Display
DOI: https://doi.org/10.1002/sdtp.13879
2018
Conference
(Invited) Channel Length Dependence of Mechanical Strain for Flexible (a-IGZO) TFT
Authors: Abidur Rahaman, Md Mehedi Hasan, Mohammad Masum Billah and Jin Jang
Conference: 2018 ECS - The Electrochemical Society, Cancun ,Mexico
, Page: --
, Publisher: IOP
DOI: 10.1149/MA2018-02/36/1212
2017
Conference
Excellent Temperature Sensing Device with Coplanar a-IGZO TFT Ring Oscillator
Authors: Abidur Rahaman, MM Hasan, Y Chen, Jae Gwang Um, MM Billah, J Jang
Conference: International Display Workshop, IDW'2017, Sendai, Japan
, Page: 1322-1325
, Publisher: ITE and SID
2013
Book Chapter
Lightning protection practices in Bangladesh: An Overview (Chapter 2)
Authors: Abidur Rahaman Md. Zahirul Hoque MozumderNo Data Found
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Masters - 2019-20
Piata Binte Nahar
IT Officer, Sonali Bank PLC
Thesis Title: Machine learning–based prediction model for oxygen requirement in hospitalized COVID-19 patients
Overview: Enter ProjeThe COVID-19 pandemic has created severe global shortages of essential resources, particularly oxygen, which is critical for saving lives in patients with respiratory complications. This study develops predictive models to forecast the need for oxygen therapy among hospitalized COVID-19 patients, aiming to ensure timely and adequate oxygen supply within healthcare facilities. We utilized real-world data from 1000 PCR-positive patients admitted to three hospitals in Dhaka, Bangladesh. The dataset included demographics, symptoms, laboratory results, and comorbidities. Six machine learning (ML) models were implemented, including logistic regression (LR), eXtreme gradient boosting (XGBoost), random forest (RF), decision tree (DT), K-nearest neighbors (KNN), and Naïve Bayes (NB). After data preprocessing and tenfold cross-validation, model performance was evaluated on a separate test set. Key predictors identified were oxygen saturation (SpO₂), respiratory distress, blood clots, pneumonia, hypertension, cardiovascular disease, kidney disease, lung infection, and age. Among the models tested, random forest demonstrated the best performance, achieving an accuracy of 93.69%, a recall of 97.5%, a precision of 93.9%, an F1-score of 97.8% and an AUC of 0.919. These results underscore the potential of machine learning techniques to enhance healthcare planning and resource management. By enabling early identification of oxygen needs, predictive models can reduce preventable deaths and strengthen healthcare resilience in future pandemics.
- Institutional Email: abidur@nstu.edu.bd
- Personal Email: abid317509@gmail.com
- Mobile number: 01914317509
- Emergency Contact: 01954260136
- PABX: N/A
- Website: N/A
SOCIAL PROFILES
Department
Information and Communication Engineering
Noakhali Science and Technology University