Md. Jahin Alam
Lecturer
jahin.alam@bracu.ac.bd
Address
CSE Department
4th floor, Room No # 4N136,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh
Md. Jahin Alam joined BRAC University as a Lecturer in the Department of Computer Science and Engineering (CSE) on June 2023. He is currently pursuing his M.Sc. degree in Electrical and Electronic Engineering (EEE) with a focus on Medical Image and Signal Processing at Bangladesh University of Engineering and Technology (BUET). He acquired his B.Sc. degree from EEE, BUET on May 2022. His higher secondary journey began at Notre Dame College (NDC) in science; whereas he completed his primary and secondary school in Engineering University School and College (EUSC).
As Jahin continues his M.Sc. studies, his research interests lie in the field of biomedical image and signal processing, specifically focusing on computer vision, segmentation strategies, prediction models, and diagnostic tools. Currently, he aims to better understand Ultrasound image reconstruction techniques as well as develop methods (signal/image processing & deep learning based) that can outperform conventional approaches in quality measures.
SL. | Manuscript Name | Journal Name | Avail- able |
01 | Md. Jahin Alam, Shaikh Anowarul Fattah. “SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images”. | Computers in Biology and Medicine, Elsevier (Impact Factor 7.7) | [Link] |
02 | Md. Jahin Alam, Mir Sayeed Mohammad, Md Adnan Faisal Hossain, Ishtiaque Ahmed Showmik, Munshi Sanowar Raihan, Shahed Ahmed, Talha Ibn Mahmud. “S2C-DeLeNet: A Parameter Transfer Based Segmentation-Classification Integration for Detecting Skin Cancer Lesions from Dermoscopic Images”. | Computers in Biology and Medicine, Elsevier (Impact Factor 7.7) | [Link] |
03 | Md. Jahin Alam, Rifat Bin Rashid, Shaikh Anowarul Fattah, Mohammad Saquib. “RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy”. | IEEE Journal of Translational Engineering in Health and Medicine (Impact Factor 3.4) | [Link] [PDF] |
04 | Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali, Md Maisoon Rahman, Shaikh Anowarul Fattah, and Mohammad Saquib. “CovTANet: A Hybrid Tri-level Attention-based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans”. | IEEE Transactions on Industrial Informatics (Impact Factor 12.3) | [Link] [PDF] |
SL. | Paper Name | Conference Name | Avail- able |
01 | M. J. Alam, S. N. Ali and M. Z. Hasan, “A Robust CNN Framework with Dual Feedback Feature Accumulation for Detecting Pneumonia Opacity from Chest X-ray Images”. | The 11th International Conference on Electrical and Computer Engineering (ICECE), 2020. | [Link] [PDF] |
02 | S. Chowdhury, M. L. Rahman, S. N. Ali and M. J. Alam, “A RNN Based Parallel Deep Learning Framework for Detecting Sentiment Polarity from Twitter Derived Textual Data”. | The 11th International Conference on Electrical and Computer Engineering (ICECE), 2020. | [Link] [PDF] |
03 | S. N. Ali and M. J. Alam, “Development of a Wearable 3-Risk Factor Accumulated Epileptic Seizure Detection System with IoT Based Warning Alarm”. | IEEE 5th International Conference on Computing Communication and Automation (ICCCA), 2020. | [Link] [PDF] |
04 | M. L. Rahman, M. J. Alam, N. Rashid, L. H. Tithy, A. U. Ahmed and M. T. Arafat, “IoT Based Cost Efficient Muscle Stimulator for Biomedical Application”. | IEEE Region 10 Symposium (TENSYMP), 2020. | [Link] [PDF] |
(Jun 2023 – Present)
(Dec 2022 – Nov 2023)
Description: A collaborative Project with FujiFilm Healthcare (US & Japan) and RISE-BUET in the concept proof for the efficacy of Deep Learning reconstruction methods in Ultrasound Shear Wave Elastography.
(Nov 2022 – May 2023)
Courses Taught: Digital Signal Processing Lab; Biomedical Signals, Instrumentation and Measurement Lab; Wireless Communication Lab; Electrical Circuits Lab; Communication Systems Lab.
(Aug 2022 – Nov 2022) [Link]
Courses Taught: Digital Signal Processing Lab; Digital Communication Lab; Electronics Circuits Lab.
(April 2021 – April 2022) [Link]
(August 2019 – April 2020)
I. Honda Y-E-S (Young Engineer and Scientist’s) Award 2021 in Bangladesh [News]
II. 1st Runners-Up in IEEE VIP Cup 2020 (ICIP 2020) : “Real-time vehicle detection and tracking at junction using a fisheye camera” : Team Multi-layer Perceptron [Link]
III. 3rd Runners-Up in IUT Meccelaration : Line-Follower-Robot Competition (2017)
According to the BRAC University Curriculum:
Not Accepting
As: |
|
Level: |
Undergraduate |
Type: |
|
