📚 Publications & Research

Peer-reviewed publications in AI, Deep Learning, and Computer Vision with 60+ citations

📝 Journal Publications

Diverse hand gesture recognition dataset

Akhavan-Pour, A., et al.

Multimedia Tools and Applications (Springer), 2023

A comprehensive dataset for hand gesture recognition addressing diversity challenges in computer vision systems.

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Maximising robustness and diversity for improving the deep neural network safety

Akhavan-Pour, A., et al.

Electronics Letters (IET), 2021

Novel approaches to enhance the safety and reliability of deep neural networks through robustness and diversity maximization.

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Early diagnosis of Alzheimer's dementia with the artificial intelligence-based Integrated Cognitive Assessment

Akhavan-Pour, A., et al.

Alzheimer's & Dementia (Wiley), 2020

AI-powered cognitive assessment tool achieving 90% sensitivity for early Alzheimer's detection with limited dataset (68 samples).

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Comparing the ability to recognize objects in the background faced with different variations in human and the new visual cortex model

Akhavan Pour, A.; Karimi, H.; Bagheri, N.; Ebrahimpour, R.

9th Iranian Conference on Machine Vision and Image Processing (ICMVIP), 2015

Master's Thesis Research - Investigating invariant object recognition mechanisms in humans and computational models.

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Object Recognition under Occlusion Conditions with Generative Models

Sharif Neuroscience Symposium, 2019

Research on handling occlusion challenges in object recognition using generative modeling approaches.

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Large Language Models (LLMs): Training, fine-tuning, and deployment of transformer-based models
Vision-Language Models (VLMs): Multimodal AI combining vision and language understanding
Graph Neural Networks (GNNs): Applications in anti-spoofing and social network analysis
Computer Vision: Object recognition, face recognition, anti-spoofing, OCR
Persian NLP: Natural language processing for low-resource languages
AI Ethics & Bias: Developing culturally-diverse datasets to reduce AI bias
Medical AI: Healthcare diagnostics and cognitive assessment

9 reviews completed in 2024-2025

Q1 journal in Artificial Intelligence and Computer Science

Focus areas: Computer Vision, Deep Learning, Applied AI

A Comparative Study of Varying Parameters in Invariant Object Recognition at Behavioural and Computational-Cognitive Model Level

Advisor: Prof. Reza Ebrahimpour, Ph.D.

Shahid Rajaee Teacher Training University, 2015 | GPA: 18.07/20

Research investigating how humans and computational models recognize objects under various transformations and occlusions.

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ORCID: 0009-0004-1335-266X

Google Scholar: View Profile

Royan Institute: Cognitive impairment detection and medical AI research
Cognetivity Neurosciences Ltd (UK): Early Alzheimer's detection (ICA project)
MCI (Mobile Communications): Predictive analytics and customer behavior modeling
Multiple Financial Institutions: KYC systems and fraud detection research