Research area 05

Explainable AI

Models whose decisions can be inspected, questioned and trusted, especially where errors are costly.

Scope

Interpretable architectures and post-hoc explanation methods such as saliency maps and feature attribution, applied to medical diagnosis, plant disease detection and industrial inspection.

Our approach

[PLACEHOLDER: how Applied Perception approaches explainable AI, and two or three open questions, written by Dr. Al Farid]

Publications

Journal article

A Modified Gorilla Troops Optimizer-Based Explainable Machine Learning for Early Cardiovascular Disease Prediction

Israt Jahan, Afsana Begum, Bibhas Roy Chowdhury Piyas, Fahmid Al Farid, Fatama Jannat Tisha, Shahrin Islam, Abu Saleh Musa Miah, Hezerul Abdul Karim

Computers, Materials & Continua, 2026

DOI

Journal article

An efficient and interpretable intrusion detection framework for software-defined networks with multi-class imbalanced data using genetic and GAN-based optimization

Md. Tamim Hasan Saykat, Md. Ehsanul Haque, Fahmid Al Farid, Rakib Hossen, Jia Uddin, Hezerul Bin Abdul Karim

Scientific Reports, 2026

DOI

Journal article

An explainable framework for dementia risk prediction based on lifestyle data using machine learning and deep learning

Md. Kowsar Ahmed, Anichur Rahman, Dipanjali Kundu, Md. Alve Authi Alam, Maharabe Uddin Sarker Ovi, Shahariar Hossain Mahir, Md Tanjum An Tashrif, Abu Saleh Musa Miah, Fahmid Al Farid, Sarina Mansor

Discover Artificial Intelligence, 2026

DOI

Preprint

An explainable transformer framework for sentiment analysis in aviation workforce data

Sovon Chakraborty, Protiva Das, Fuyad Hasan Bhuiyan, Farig Yousuf Sadeque, Jia Uddin, Fahmid AL Farid, Hezerul Abdul Karim

Decision Analytics Journal, 100693, 2026

DOI

Journal article

An ROI-Guided Optimized Machine Learning Framework for Orange Disease Recognition with Feature Selection and Explainability

Israt Jahan Munny, Anup Majumder, Bibhas Roy Chowdhury Piyas, Fahmid Al Farid, Md. Rafsan Jani, Fatama Jannat Tisha, Israt Jahan, Abu Saleh Musa Miah, Hezerul Abdul Karim

Computers, Materials & Continua, 2026

DOI

Journal article

Bearfusionnet: A multi-stream attention-based deep learning framework with explainable ai for accurate detection of bearing casting defects

Md. Ehsanul Haque, Md. Nurul Absur, Fahmid Al Farid, Md Kamrul Siam, Jia Uddin, Hezerul Abdul Karim

Computers, Materials & Continua, 2026

DOI

Journal article

DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric data

Anika Rahman, Fahmid Al Farid, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul Bin Abdul Karim

Frontiers in Computer Science, 2026

DOI

Journal article

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images

Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul bin Abdul Karim

PLOS One, 2026

DOI

Journal article

Predicting preterm birth with privacy-preserving AI models: Federated learning and explainable AI

Md Tanjum An Tashrif, Shahariar Hossain Mahir, Dipanjali Kundu, Anichur Rahman, Fahmid Al Farid, Sarina Mansor, Abu Saleh Musa Miah

Egyptian Informatics Journal, 2026

DOI

Journal article

Predicting Students’ Cognitive Profiles Using Explainable Machine Learning

Sonia Corraya, Fahmid Al Farid, M Shamim Kaiser, Shamim Al Mamun, Jia Uddin, Hezerul Abdul Karim

International Journal of Advanced Computer Science and Applications, 2026

DOI

Journal article

Privacy-aware diabetic retinopathy grading and visual lesion-focused interpretability through mixture-of-experts federated deep learning with explainable AI

Md. Tanjum An Tashrif, Dipanjali Kundu, Mst. Moriom Akter Bithee, Anichur Rahman, Fahmid Al Farid, Hezerul Abdul Karim, Abu Saleh Musa Miah

Scientific Reports, 2026

DOI

Journal article

A hybrid CNN framework DLI-net for acne detection with XAI

Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

Journal of Imaging, 2025

DOI

Journal article

A lightweight CNN for multiclass retinal disease screening with explainable AI

Arjun Kumar Bose Arnob, Muhammad Hasibur Rashid Chayon, Fahmid Al Farid, Mohd Nizam Husen, Firoz Ahmed

Journal of Imaging, 2025

DOI

Journal article

A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and gan-based optimization

Md. Ehsanul Haque, Md. Nurul Absur, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

Frontiers in Artificial Intelligence, 2025

DOI

Journal article

Advanced hydro-informatic modeling through feedforward neural network, federated learning, and explainable AI for enhancing flood prediction

Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu, Anichur Rahman, Md. Amir Hamza, Fahmid Al Farid, Abu Saleh Musa Miah, Sarina Mansor

IEEE Open Journal of the Computer Society, 2025

DOI

Journal article

An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images

Md. Romzan Alom, Fahmid Al Farid, Muhammad Aminur Rahaman, Anichur Rahman, Tanoy Debnath, Abu Saleh Musa Miah, Sarina Mansor

Scientific Reports, 2025

DOI

Journal article

Leafsightx: an explainable attention-enhanced cnn fusion model for apple leaf disease identification

Md. Ehsanul Haque, Fahmid Al Farid, Md. Kamrul Siam, Md. Nurul Absur, Jia Uddin, Hezerul Abdul Karim

Frontiers in Artificial Intelligence, 2025

DOI

Journal article

SCCM: An Interpretable Enhanced Transfer Learning Model for Improved Skin Cancer Classification

Md. Rifat Aknda, Fahmid Al Farid, Jia Uddin, Sarina Mansor, Muhammad Golam Kibria

BioMedInformatics, 2025

DOI

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