Dr. Md. Khairul Islam

Chairman and Associate Professor

ID: 290386
Md. Rabiul Islam

Assistant Professor

ID: 290383
S M Jahurul Haque

Assistant Professor

ID: 290384
Ariful Islam

Assistant Professor

ID: 290385
MD. ABU SAYED

Lecturer

ID: 290387

Profile Experience Publication Contact CV

Dr. Md. Khairul Islam

Chairman and Associate Professor BE birlbme.com About:

Md Khairul Islam is an assistant professor in the department of Biomedical Engineering at Islamic University. He is pursuing a PhD in Biomedical Engineering and is recognized for his expertise in machine learning, deep learning, medical image processing, biosignal processing, bioinformatics, and disease diagnosis. Islam has published over 20 papers in international journals and conferences and serves as a reviewer for reputable journals and conferences. He is actively involved in mentoring BSc and MSc students in their research projects and is known for his collaborative and interdisciplinary approach to tackling complex problems in biomedical engineering. Islam's passion for research, dedication to teaching, and commitment to advancing the field of biomedical engineering have earned him a respected reputation in the academic and research communities.

Research interest:

Image processing, Bio-signal processing, Machine learning, Deep learning, Internet of health things, Cognitive radio networking

ResearchGate:

Google Scholar:

https://scholar.google.com/citations?user=8ty0-XsAAAAJ

Experience

Assistant Professor Department of Biomedical Engineering, Islamic University 2019-12-29 - Present Lecturer Department of Biomedical Engineering, Islamic University 2018-07-15 - 2019-12-28 Lecturer Prime University 2015-10-12 - 2018-07-13 Research fellow Ministry of ICT Division, Dhaka 2014-01-01 - 2015-06-30

Publications

PERFORMANCE ANALYSIS OF DOWNLINK POWER CONTROL IN WCDMA SYSTEM INTERNATIONAL JOURNAL OF SCIENTIFIC & ENGINEERING RESEARCH

Journal Article

2012-12-24 Click Here

Investigation and Performance Analysis of Call Admission Control in WCDMA system to find optimum parameters International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015

Conference

2015-06-05 Click Here

Investigation and Improving of Call Admission Control and Load Estimation in WCDMA system INTERNATIONAL JOURNAL OF SCIENTIFIC & ENGINEERING RESEARCH

Journal Article

2015-12-26 Click Here

Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System Big Data Cognitive Computing

Journal Article

2018-12-17 Click Here

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm Big Data Cognitive Computing

Journal Article

2019-03-25 Click Here

Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things Sensors

Journal Article

2020-02-04 Click Here

Human Brain Tumor Detection using K-means Segmentation and Improved Support Vector Machine INTERNATIONAL JOURNAL OF SCIENTIFIC & ENGINEERING RESEARCH

Journal Article

2020-12-06 Click Here

Melanoma Skin Lesions Classification using Deep Convolutional Neural Network with Transfer Learning Conference: 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)

Conference Paper

2021-05-11 Click Here

Alzheimer’s Disease Detection Using m-Random Forest Algorithm with Optimum Features Extraction Conference: 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA)

Conference Paper

2021-05-11 Click Here

An Enhanced Technique of Skin Cancer Classification using Deep Convolutional Neural Network with Transfer Learning Models. Machine Learning with Application (Elsevier)

Journal Article

2021-04-29 Click Here

Brain Tumor Detection in MR Image using Superpixels, Principal Component Analysis and Template Based K-Means Clustering Algorithm Machine Learning with Application (Elsevier)

Journal Article

2021-05-25 Click Here

Automated detection and characterization of colon cancer with deep convolutional neural networks Journal of Healthcare Engineering

Journal Article

2022-08-24 Click Here

Transfer learning and local interpretable model agnostic based visual approach in monkeypox disease detection and classification: A deep learning insights arXiv preprint arXiv:2211.05633

Journal Article

2022-11-01 Click Here

A novel approach for best parameters selection and feature engineering to analyze and detect diabetes: Machine learning insights BioMed Research International

Journal Article

2023-05-04 Click Here

Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI Informatics in Medicine Unlocked

Journal Article

2023-10-04 Click Here

An Enhanced Technique of COVID‐19 Detection and Classification Using Deep Convolutional Neural Network from Chest X‐Ray and CT Images BioMed Research International

Journal Article

2023-12-11 Click Here

Machine Learning and Blockchain-based Privacy-aware: Cognitive Radio Internet of Things Applied Intelligence for Industry 4.0/ Chapman and Hall/CRC

Book Chapter

2023-11-11 Click Here

Deep transfer learning approaches for Monkeypox disease diagnosis Expert Systems with Applications

Journal Article

2023-04-04 Click Here

Enhancing Atrial Fibrillation detection accuracy: A wavelet transform filtered single lead ECG signal analysis with artificial neural networks and novel feature extraction Machine Learning with Applications

Journal Article

2023-06-15 Click Here

Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach for accurate diagnosis Machine Learning with Applications

Journal Article

2023-12-15 Click Here

Enhancing monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning Informatics in Medicine Unlocked

Journal Article

2024-01-01 Click Here

Unlocking the potential of XAI for improved Alzheimer’s disease detection and classification using a ViT-GRU model IEEE Access

Journal Article

2024-01-09 Click Here

Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach Image and Vision Computing

Journal Article

2024-01-02 Click Here

Dr. Md. Khairul Islam

Chairman and Associate Professor Contact Information: Phone: +8801737722198 Email: khairul.bme2@gmail.com, khairul@bme.iu.ac.bd Web: birlbme.com Facebook:

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Md. Rabiul Islam

Assistant Professor BE 0 About:

Research interest:

ResearchGate:

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Experience

Assistant Professor Northern University of Business and Technology Khulna 2007-02-01 - 2018-07-14 Lecturer Islamic University Kushtia 2018-07-15 - 2019-07-14 Assistant Professor Islamic University Kushtia 2019-07-15 -

Publications

Md. Rabiul Islam

Assistant Professor Contact Information: Phone: +8801718860019 Email: rabinub@gmail.com Web: 0 Facebook:

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S M Jahurul Haque

Assistant Professor BE www.bmeiu.ac.bd About:

Research interest:

Tissue Culture, Tissue Engineering, Genetics, Bio-materials, Bioinformatics

ResearchGate:

https://www.researchgate.net/profile/Jahurul_Haque2

Google Scholar:

Experience

Senior research assistant icddr,b 2017-08-01 - 2018-07-14 Research fellow icddr,b 2015-11-01 - 2016-12-31 Research fellow Islamic University 2014-06-01 - 2015-09-30 Lecturer Islamic University 2018-07-14 -

Publications

Distribution of rotavirus genotypes in Dhaka, Bangladesh, 2012–2016: Re-emergence of G3P[8] after over a decade of interval Vaccine

Article

2018-10-15 Click Here

Detection of enteric‐and non‐enteric adenoviruses in gastroenteritis patients, Bangladesh, 2012‐2015 Journal of Medical Virology

Article

2017-12-15 Click Here

Rotavirus genotypes circulating in Bangladesh prior to the introduction of vaccine, 2012-16: re-emergence of G3 genotype Asian Conference on Diarrheal Disease and Nutrition (ASCODD)

Conference Paper

2017-11-01 Click Here

S M Jahurul Haque

Assistant Professor Contact Information: Phone: +8801722989804 Email: jaheer.iu@gamil.com Web: www.bmeiu.ac.bd Facebook:

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Ariful Islam

Assistant Professor BE www.bme.iu.ac.bd About:

Ariful Islam is an Assistant Professor in the Department of Biomedical Engineering at Islamic University, Kushtia, Bangladesh. He completed his M.Sc. (2016) and B.Sc. (2014) in Applied Physics, Electronics, and Communication Engineering from the same university. His research involvement spans multiple laboratories, including the Bioimaging, Biophysics, and Basic Biomedical Engineering Labs. His academic and research interests focus on Biomedical Signal Processing, Medical Imaging, Instrumentation, and Applied Physics in Healthcare. He has contributed to several peer-reviewed publications and serves as an Associate Editor for reputed international journals, reflecting his dedication to advancing biomedical engineering education and research in Bangladesh.

Research interest:

Medical Device Fabrication, Biomedical Instrumentation, Biosensors, Bio-signal Processing, Nuclear Medicine, Biomaterials, Rehabilitation Engineering, Biosystem Modeling and Simulation, Telemedicine System, Biomechanics, Bioinformatics .

ResearchGate:

https://www.researchgate.net/profile/Ariful-Islam-59?ev=hdr_xprf

Google Scholar:

https://scholar.google.com/citations?user=_LfLHNEAAAAJ&hl=en

Experience

Assistant Class Teacher SEQAEP 2016-01-01 - 2015-12-31 Associate Member Bangladesh Computer Society (BCS) 2017-07-19 - 2019-07-18

Publications

Ariful Islam

Assistant Professor Contact Information: Phone: +8801793626264 Email: arif@bme.iu.ac.bd/ arifbme07@gmail.com Web: www.bme.iu.ac.bd Facebook:

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MD. ABU SAYED

Lecturer BE About:

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Experience

Publications

MD. ABU SAYED

Lecturer Contact Information: Phone: 8801 Email: Web: Facebook:

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Islamic University
Bangladesh

Biomedical Engineering

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