ESCI/SCOPUS Articles

Harshvardhan Khimsuriya, Mohd Aquib Ansari, and Naveen Kumar. "Advancing clinical Alzheimer’s diagnosis with end-to-end deep learning on MRI data." Life Cycle Reliability and Safety Engineering (2026): 1-12.

Shahnawaz Ahmad, Shahadat Hussain, Mohd Arif, and Mohd Aquib Ansari. "Early-Stage Diabetes Prediction Using a Stacked Ensemble Model Enhanced with SHAP Explainability." Biomedical and Pharmacology Journal 19, no. 1 (2026).

Mohd Nazim, Shahnawaz Ahmad, Mohd Aquib Ansari, Mohd Arif, Javed Ahmad, and Safdar Tanweer. "A holistic strategy for choosing software requirements through multi-criteria intuitionistic fuzzy TOPSIS." International Journal of System Assurance Engineering and Management (2026): 1-14. 

Goldy Saini, Rakesh Kumar, Lokesh Malviya, Arvind Mewada, and Mohd Aquib Ansari.  "Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction." Life Cycle Reliability and Safety Engineering 15.1 (2026): 113-130.

Arvind Mewada, Shahnawaz Ahmad, and Mohd Aquib Ansari. "ViT-HAR: Vision Transformer-Based Human Activity Recognition in Cluttered Environments." Sakarya University Journal of Computer and Information Sciences Advanced Online Publication (2026): 190-204. (Scopus)

Mohd. Nazim, Mohd. Aquib Ansari, Shahnawaz Ahmad, Mohd. Arif, "AI-Based Learning Models for the Life Cycle Prediction and Detection of Diabetes Disorders: A Comprehensive Perspective", Medical Data Mining, TMR Publishing Group, 2025. (Scopus)

Mohd. Aquib Ansari, Shahnawaz Ahmad, Arvind Mewada, "Multi-Scale Parallel Feature Aggregation Network with Attention Fusion (MPFAN-AF): A Novel Approach to Cataract Disease Classification", Medical Data Mining, TMR Publishing Group, 8(4):23, 2025. (Scopus)

Goldy Saini, Rakesh Kumar, Lokesh Malviya, Arvind Mewada,  Mohd. Aquib Ansari, "Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction", Life Cycle Reliab Saf Eng (2025). https://doi.org/10.1007/s41872-025-00375-w. (Scopus)

Shahnawaz Ahmad, Mohd. Aquib Ansari, Arvind Mewada, Singh P, Manoj Diwakar, Salman Akhtar, Shivahare B, "MPFAN: A Novel Multiscale Network for Brain Tumor MRI Classification", Open Bioinform J, 2025; 18: e18750362391710. (Scopus)

Shahnawaz Ahmad, Mohd. Aquib Ansari, Mohd. Arif, Javed Ahmad, Shabana Mehfuz, Justin Onyarin Ogala & O. S. Adewale, "Hybrid recommender system for personalized healthcare: integration of content-based and collaborative filtering approaches," Int J Syst Assur Eng Manag (2025).  (ESCI, Scopus)

Shahnawaz Ahmad, Mohd. Arif, Mohd. Aquib Ansari, Mohd. Nazim, "AI-Driven Fuzzy Requirement Engineering for Cybersecurity: Integrating Linguistic Decision Models", Iran Journal of Computer Science, 2025. (Scopus)

Ruchi Jayaswal, Mohd. Aquib Ansari, Arvind Mewada, Shahnawaz Ahmad, "Catch Before They Fall: A Pose-Guided Attention Framework for Indoor Safety", Iran Journal of Computer Science, 2025. (Scopus)

Shahnawaz Ahmad, Mohd. Aquib Ansari, Arvind Mewada, “Advancing Reliability and Safety in IoT: Engineering Cyber-Physical Human Systems for the Future”, Life Cycle Reliability and Safety Engineering, 2025, 1-15. (Scopus)

Mohd. Aquib Ansari, Shahnawaz Ahmad, Arvind Mewada, “Mitigating Risk in Medical AI: Balancing X-Ray Datasets for Reliable Detection”, Life Cycle Reliability and Safety Engineering, 2025, 1-14. (Scopus)

Ruchi Jayaswal, Mohd. Aquib Ansari, Arvind Mewada, “Smart food choices: the role of reliable and safe AI in nutrition recommender systems”, Life Cycle Reliability and Safety Engineering,  2025, 1-11. (Scopus)

Manish Tiwari, Nagendra Singh, Arvind Mewada,  Mohd. Aquib Ansari, "Machine Learning Empowered Breast Cancer Diagnosis: Insights from Coimbra Dataset Analysis", Recent Advances in Computer Science and Communications 18.3 (2025): E26662558297605. (Scopus)

Arvind Mewada, Sushil Kumar Maurya, Mohd. Aquib Ansari, “Seeing Beyond: Advanced Image and Thermal Analysis for Early Detection of Diabetic Retinopathy and Diabetes”, Special Issue – AI-Driven and Multimodal, Biomedical and Pharmacology Journal, vol 18, pages 191-202, 2025. (Scopus)

Mayank Kumar Rusia, Dushyant Kumar Singh, and Mohd Aquib Ansari, “A Novel Deep Transfer Learning-Based Approach for Face Pose Estimation”, Cybernetics and Information Technologies Vol. 24, No. 2, pp. 105-121, 2024. (ESCI, Scopus)

Mohd. Aquib Ansari and Dushyant Kumar Singh, “Optimized Parameter Tuning in a Recurrent Learning Process for Shoplifting Activity Classification”, Cybernetics and Information Technologies (Bulgarian Academy of Sciences), Vol. 15, No.1, pp. 141-160, 2023. (ESCI, Scopus)

Mohd. Aquib Ansari and Dushyant Kumar Singh, “A Review of Machine Learning Approaches for Human Detection Through Feature Based Classification”, International Journal of Computing and Digital Systems, Vol. 12, No. 1, pp. 569-586, 2022. (Scopus)

Mohd. Aquib Ansari and Dushyant Kumar Singh, “ESAR, An Expert Shoplifting Activity Recognition System”, Cybernetics and Information Technologies (Bulgarian Academy of Sciences), Vol. 22, No. 1, pp. 190-200, 2022. (ESCI, Scopus)

Mohd. Aquib Ansari and Dushyant Kumar Singh, “Significance of Color Spaces & their Selection for Image Processing: A Survey”, Recent Advances in Computer Science and Communications (Bentham), Vol. 15, No. 7, 2022. (Scopus)

Diksha Kurchaniya, Mohd. Aquib Ansari and Durga Patel, “An Enhanced Approach for Number Plate Detection and Recognition”, Recent Advances in Computer Science and Communications (Bentham), Vol. 15, No. 3, pp. 412-420, 2022. (Scopus)

Mohd. Aquib Ansari and Dushyant Kumar Singh, “Monitoring Social Distancing Through Human Detection for Preventing/Reducing COVID Spread”, International Journal of Information Technology, Springer Nature, Vol. 13, No. 3, 2021. (Scopus)