Our published research

Adversarial Vulnerability and Robustness of Deep Learning Models for Panoramic Dental X-ray Segmentation

Scientific Reports

Md Saidur Rahman Kohinoor, Iftekhar Ahmed, Mohammad Shorfuzzaman, Md Shafiul Alam, Farag Azzedin and Md Mahfuzur Rahman

WoS Q1Scopus Q1doi:10.1038/s41598-026-57108-x

LEUKENet: A Hybrid Deep Learning Framework for Automated Leukemia Detection Using Segmented and Non-Segmented Microscopy Images

Journal of Electrical and Computer Engineering

Nabajyoti Sharma, Anupoma Angasree Toma and Md Saidur Rahman Kohinoor

In production

A Freshwater Fish Dataset for Visual Recognition with Manually Localized ROI’s and SAM-Derived Instance Masks

Scientific Data

Shakib Absar, Iftekhar Ahmed, Md Istiaque Khalique, Mohammad Shorfuzzaman, Md. Mahfuzur Rahman, Asrar U. Haque and Md. Saidur Rahman Kohinoor

WoS Q1Scopus Q1doi:10.1038/s41597-026-07552-1

An in-depth Analysis of Machine Learning-Based Early Liver Disease Prediction with Risk Factors Analysis and a Proposed IoMT-RPA-Enhanced Mobile Application

Expert Systems With Applications, Elsevier Journal

Md. Jueal Mia, Md. Hasan Imam Bijoy, Md. Jakaria Zobair, Md. Saidur Rahman Kohinoor and Aminul Haque

Under review

Enhancing Antimicrobial Peptide Classification with Adaptation Techniques and Feature Insights for Multi-Label Drug Development

Journal of Computer Virology and Hacking Techniques

Md Saidur Rahman Kohinoor and Md Sabir Hossain

doi:10.21203/rs.3.rs-7623974/v1

A Mobile Regression Framework with Context-Aware Sensing for Real-Time WBGT Forecasting and Heatstroke Risk Assessment

IEEE Access

Md Saidur Rahman Kohinoor, Fahad Ahmed Ruhan, Md Istiaque Khalique, Tajwar Elahi Choudhury, Sultan Almuhammadi and Md Mahfuzur Rahman

Scopus Q1WoS Q2doi:10.1109/ACCESS.2025.3628732

Bone-Net: A Parallel Deep Convolutional Neural Network-based Bone Fracture Recognition

International Journal of Electrical and Computer Engineering (IJECE), , [S.l.], no. 5, pp. 4692-4704

Md. Hasan Imam Bijoy, Nusrat Islam Kohinoor, Syeda Zarin Tasnim and Md Saidur Rahman Kohinoor

In pressScopus Q3doi:10.11591/ijece.v15i5.pp4692-4704

Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification

IEEE Access, vol. 12, pp. 181009-181024

Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor, Shadman Sakib, Md Mahfuzur Rahman and Farag Azzedin

doi:10.1109/ACCESS.2024.3510224

Multi-Faceted Approach to Cardiovascular Risk Assessment by Utilizing Predictive Machine Learning and Clinical Data in a Unified Web Platform

IEEE Access, vol. 12, pp. 120454-120473

Khadiza Akther, Md. Saidur Rahman Kohinoor, Bushra Siddika Priya, Md. Jamaner Rahaman, Md. Mahfuzur Rahman and Md. Shafiullah

doi:10.1109/ACCESS.2024.3436020

TransTrack: A Cost-Effective Intelligent Transport Tracking and Monitoring System for Organizational Setup

2nd International Conference on Smart Mobility and Logistics Ecosystems (SMiLE)

Nilashish Roy, Shah Fayez Ali and Md. Saidur Rahman Kohinoor

Accepted

Performance Analysis of PyTesseract and EasyOCR for Bangla Optical Character Recognition on the Novel Bangla CrossHair Dataset

2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), pp. 716-721

Abdulla Nasir Chowdhury, Aftar Ahmad Sami, Shah Masud Parvej Mamun, Shakib Absar, Fuad Rahman and Md. Saidur Rahman Kohinoor

In pressdoi:10.1109/ISACC65211.2025.10969286

Feature Importance and Correlation for Enhancing ML Performance in Predictive Healthcare Analytics

2024 27th International Conference on Computer and Information Technology (ICCIT)

Khadiza Akther, Md Saidur Rahman Kohinoor, Sajid Al-hafiz and Humayra Nisa

doi:10.1109/ICCIT64611.2024.11021982

PAKE: PoS-Tagger Augmented Keyword Extraction System

2024 IEEE Conference on Computing Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7

Md Saidur Rahman Kohinoor, Ayesha Loylus Miah, Shah Foyez Ali, Md. Sabir Hossain, Md. Hasan Imam Bijoy and Shadman Sakib

doi:10.1109/COMPAS60761.2024.10796100

Predictive Modeling for Depression Diagnosis Using Machine Learning and DSM-5 Criteria

2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 20-22 December 2024

Murchona Acharjee, Showmik Debnath, Sujoy Chandra Das, Rana M Luthfur Rahman Pir and Md. Saidur Rahman Kohinoor

doi:10.1109/ICCIT64611.2024.11022325

Deep Learning and Context-Aware Mobile Computing for Improved Academic Supervisory Processes

Innovations in Electrical and Electronics Engineering. ICEEE 2024. Lecture Notes in Electrical Engineering, vol 1295, pp 469–483, Springer, Singapore

Nayem Ali, Md. Mahdi Hossain Hira, Irin Shorme, Md. Abdul Munim and Md. Saidur Rahman Kohinoor

In pressdoi:10.1007/978-981-97-9112-5_28

Comprehensive Analysis of Machine and Deep Learning Models for Breast Cancer Diagnosis and Risk Assessment with Diverse Datasets

2024 4th International Conference on Intelligent Technologies (CONIT), pp. 1-7

Rajon Dash, Md Saidur Rahman Kohinoor and Promise Ghosh Chowdhury

doi:10.1109/CONIT61985.2024.10626618

Enhancing Poultry Farm Productivity Using IoT-Based Smart Farming Automation System

2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6

Mahbubur Rahman, Md Saidur Rahman Kohinoor and Aftar Ahmad Sami

doi:10.1109/ICCIT60459.2023.10441525

Efficient Segmentation Techniques for the Automated Detection of Acute Lymphoblastic Leukemia (ALL) in Microscopic Images

2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6

Nabajyoti Sharma, Anupoma Angasree Toma and Md. Saidur Rahman Kohinoor

doi:10.1109/ICCIT60459.2023.10441472

Deep Learning-Based Local Fish Classification: A Comparative Study of VGG16 Models and Multiple Classifiers

2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), pp. 589-594

Kazi Shahadat Hossain Shozib and Md. Saidur Rahman Kohinoor

doi:10.1109/R10-HTC57504.2023.10461885

Performance Evaluation of Deep Learning-Based Facial Recognition Models on Mobile Computing Environments

2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), pp. 13-18

MD Abdul Munim and Md Saidur Rahman Kohinoor

doi:10.1109/R10-HTC57504.2023.10461876

Assessing the Robustness of Machine Learning Algorithms for Cardiovascular Disease Detection Across Diverse Clinical Datasets

2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC), pp. 298-303

Moulia Das Proma, Khadiza Akther, Bushra Siddika Priya, Md. Jamaner Rahaman and Md. Saidur Rahman Kohinoor

doi:10.1109/ICONNIC59854.2023.10467465

A Comparative Study on Different Machine Learning Techniques in Diabetes Risk Assessment

2023 3rd International Conference on Intelligent Technologies (CONIT), pp. 1-6

Mahnur Akther, Zahara Rahman Chowdhury, Anika Tabassum and Md. Saidur Rahman Kohinoor

doi:10.1109/CONIT59222.2023.10205382

Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1-5

Bilas Halder, Md. Hridoy Chowdhury and Md. Saidur Rahman Kohinoor

doi:10.1109/GCAT55367.2022.9971827

Enhancing Poultry Farm Productivity using IoT-Based Smart FarmingAutomation System

IEEE CS BDC Summer Symposium 2023, Islamic University, Kushtia, Bangladesh, 09-10 June 2023

Mahbubur Rahman, A. Ahmad Sami and Md. S. Rahman Kohinoor

Deep Learning-Based Mobile Application for Skin Cancer Detection:Enhancing Accuracy and Efficiency using Diverse Datasets

IEEE CS BDC Summer Symposium 2023, Islamic University, Kushtia, Bangladesh, 09-10 June 2023

Iftekhar Ahmed, B. Bushon Routh, Md. S. Rahman Kohinoor and Shadman Sakib

TransTrack: Cost Effective Intelligent Transport Tracking and Monitoring System for Organizational Setup

IEEE CS BDC Summer Symposium 2023

Shah Fayez Ali, Nilashish Roy and Md. S. Rahman Kohinoor

MachWala: A Deep Learning-Powered Android Application for Accurate Fish Detection and Information Retrieval in Bangladesh

IEEE CS BDC Summer Symposium 2023, Islamic University, Kushtia, Bangladesh, 09-10 June 2023

Kazi Shahadat Hossain Shozib and Md. S. Rahman Kohinoor

Deep Learning-based Automated Attendance for Blended Environment with Real-Time Synchronization

(J)

Md Abdul Munim, Md. Saidur Rahman Kohinoor and Marziya Shyamali

Draft