Saeid Nahavandi

University of British Columbia — Canada

Engineering · Physical Sciences

90h-index36.5kcitations1.4kworks15.02yr avg
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Research Topics

Teleoperation and Haptic Systems(100), Neural Networks and Applications(74), EEG and Brain-Computer Interfaces(59), Virtual Reality Applications and Impacts(56), Fault Detection and Control Systems(56)

Publications1.4k total

Integrating human–machine systems and digital twin technologies: navigating trust, interoperability, and ethical challenges
Cognitive Systems Research·2025· 1 cited
Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Learning Human-Robot Interactions in Perturbed Teleoperations
2025
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data
Sensors·2025Open Access
Enhancing Oral Surgery Simulation: A Systematic Review of 3D‐Printed Patient‐Specific Models Compared to Traditional Animal Jaw Models for Presurgical Training
Journal of Dental Education·2025· 3 citedOpen Access
The Emergence of Deep Reinforcement Learning for Path Planning
ArXiv.org·2025Open Access
Real Time Classification of Cognitive Load Using fNIRS and EEGNet in a Driving Simulation Task
Preprints.org·2025Open Access
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data
Preprints.org·2025Open Access
The Role of Human-Centered Design in Enhancing Trust and Satisfaction in E-Commerce within Industry 5.0
2025
Feature Extraction and AI Model-Based Detection of Driving Distraction Utilizing a Motion Platform
2025· 1 cited
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
ACM Computing Surveys·2025Open Access
A Comprehensive Review on Autonomous Navigation
ACM Computing Surveys·2025· 39 citedOpen Access
The non-invasive diagnostic modality for the detection of oral squamous cell carcinoma by an infrared sensor (feasibility study) (Conference Presentation)
2025Open Access
A nonlinear real time capable motion cueing algorithm based on deep reinforcement learning
arXiv (Cornell University)·2025Open Access
Evaluating the impact of music tempo on drivers and their performance using an artificial intelligence model: a multi-source data approach
Neural Computing and Applications·2025· 6 citedOpen Access
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
Computers·2025· 6 citedOpen Access
Design and Development of a Deployment System for Small Satellites (1U-4U)
IEEE Aerospace and Electronic Systems Magazine·2025
Predicting Cognitive Load in Immersive Driving Scenarios with a Hybrid CNN-RNN Model
Communications in computer and information science·2025
The Role of AI in Optimizing Human-Centered Complex Systems
Lecture notes in computer science·2025
Leveraging Motion Platform Simulator for Detecting Driver Distraction: A CNN-LSTM Approach Integrating Physiological Signal and Head Motion Analysis
Communications in computer and information science·2025· 2 cited
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Frequent Co-authors

Abbas Khosravi(25), Roohallah Alizadehsani(13), Afshin Shoeibi(10), U. Rajendra Acharya(9), Fahime Khozeimeh(8), Sadiq Hussain(6), Parisa Moridian(6), Thanh Thi Nguyen(5), Navid Ghassemi(5), Parham M. Kebria(5), J. M. Górriz(5), Moloud Abdar(4), Doug Creighton(4), Amir F. Atiya(4), Marjane Khodatars(4), Mahboobeh Jafari(4), Maryam Panahiazar(4), Assef Zare(4), Chee Peng Lim(4), Delaram Sadeghi(4)