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Author

Mehshan Ahmed Khan

Observed names: Khan, Mehshan Ahmed, Mehshan Khan
Institution: Deakin University
ORCID: 0000-0002-7380-8532
Observed ORCID: 0000-0002-7380-8532
OpenAlex ID: A5007202574
A novel CNN-LSTM-based approach to predict urban expansion
2021 · Wadii Boulila, Hamza Ghandorh, et al. · Ecological Informatics · 174
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Gastrointestinal diseases segmentation and classification based on duo-deep architectures
2019 · Mehshan Ahmed Khan, Muhammad Attique Khan, et al. · Pattern Recognition Letters · 174
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
2024 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Expert Systems with Applications · 51
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels
2023 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Communications in computer and information science · 15
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
2025 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Computers · 13
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An ICU Admission Predictive Model for COVID-19 Patients in Saudi Arabia
2021 · Hamza Ghandorh, Muhammad Zubair Khan, et al. · International Journal of Advanced Computer Science and Applications · 6
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A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique
2022 · Mehshan Ahmed Khan, Fawad Ahmed, et al. · Electronics · 5
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data
2025 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Sensors · 3
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Predicting Cognitive Load in Immersive Driving Scenarios with a Hybrid CNN-RNN Model
2025 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Communications in computer and information science · 2
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Predicting ICU Admission for COVID-19 Patients in Saudi Arabia: A Comparative Study of AdaBoost and Bagging Methods
2024 · Hamza Ghandorh, Mohammad Zubair Khan, et al. · International Journal of Advanced Computer Science and Applications · 2
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A Critical Review of Recent Advances in Deep Learning and Machine Learning Models for Cognitive Load Assessment Using Eye-Tracking Technology
2026 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Preprints.org
A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification
2026 · Mehshan Khan, Houshyar Asadi, et al. · SSRN Electronic Journal
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Real Time Classification of Cognitive Load Using fNIRS and EEGNet in a Driving Simulation Task
2025 · Mehshan Ahmed Khan, Houshyar Asadi, et al. · Preprints.org
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Works count: 14
Citation count: 451
H-index: 6
I10-index: 5
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