World's Best Scientists 2026 revealed!
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Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
91
Citations
33850
World Ranking
582
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2020 - IEEE Fellow For contributions to haptically-enabled robotic systems

Overview

Saeid Nahavandi is affiliated with Swinburne University of Technology in Australia. Their research spans multiple fields with a focus on Engineering and Computer Science, contributing notably to subfields such as Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, and Radiology, Nuclear Medicine and Imaging.

The main topics covered in Saeid Nahavandi's work include:

  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Aerospace and Aviation Technology
  • Autonomous Vehicle Technology and Safety
  • AI in cancer detection
  • EEG and Brain-Computer Interfaces
  • Vehicle Dynamics and Control Systems

They have published extensively in various venues, with frequent publications in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Systems Man and Cybernetics Magazine
  • 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Notable recent papers include:

  • A review of uncertainty quantification in deep learning: Techniques, applications and challenges (2021), Information Fusion
  • Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications (2020), IEEE Transactions on Cybernetics
  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2021), International Journal of Environmental Research and Public Health
  • Deep learning for deepfakes creation and detection: A survey (2022), Computer Vision and Image Understanding
  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review (2020), arXiv (Cornell University)

Frequent co-authors collaborating with Saeid Nahavandi include:

  • Abbas Khosravi
  • Enrique Herrera-Viedma
  • Sam Kwong
  • Roohallah Alizadehsani
  • Houshyar Asadi

Among awards received, Saeid Nahavandi was named an IEEE Fellow in 2020 for contributions to haptically-enabled robotic systems.

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

    Thanh Thi Nguyen;Ngoc Duy Nguyen;Saeid Nahavandi

  • Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

    A Khosravi;S Nahavandi;D Creighton;A F Atiya

  • Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

    A. Khosravi;S. Nahavandi;D. Creighton;A. F. Atiya

  • Comments on 'Information measure for performance of image fusion'

    M. Hossny;S. Nahavandi;D. Creighton

  • Dielectrophoretic platforms for bio-microfluidic systems.

    Khashayar Khoshmanesh;Saeid Nahavandi;Sara Baratchi;Arnan Mitchell

  • Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

    Afshin Shoeibi;Marjane Khodatars;Navid Ghassemi;Navid Ghassemi;Mahboobeh Jafari

  • Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

    Shanmugam Lakshmanan;Mani Prakash;Chee Peng Lim;Rajan Rakkiyappan

  • A Review of Vision-Based Gait Recognition Methods for Human Identification

    Jin Wang;Mary She;Saeid Nahavandi;Abbas Kouzani

  • Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts

    A. Khosravi;S. Nahavandi;D. Creighton

  • Construction of Optimal Prediction Intervals for Load Forecasting Problems

    Abbas Khosravi;Saeid Nahavandi;Doug Creighton

  • Machine learning-based coronary artery disease diagnosis: A comprehensive review.

    Roohallah Alizadehsani;Moloud Abdar;Mohamad Roshanzamir;Abbas Khosravi

  • Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

    H. M. Dipu Kabir;Abbas Khosravi;Mohammad Anwar Hosen;Saeid Nahavandi

  • A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting

    Abdollah Kavousi-Fard;Abbas Khosravi;Saeid Nahavandi

  • Efficient Road Detection and Tracking for Unmanned Aerial Vehicle

    Hailing Zhou;Hui Kong;Lei Wei;Douglas Creighton

  • Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

    Marjane Khodatars;Afshin Shoeibi;Afshin Shoeibi;Delaram Sadeghi;Navid Ghaasemi

  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    Moloud Abdar;Maryam Samami;Sajjad Dehghani Mahmoodabad;Thang Doan

  • Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

    A. Khosravi;S. Nahavandi;D. Creighton;D. Srinivasan

  • Prediction Intervals to Account for Uncertainties in Travel Time Prediction

    A Khosravi;E Mazloumi;S Nahavandi;D Creighton

  • An expert system for selecting wart treatment method

    Fahime Khozeimeh;Roohallah Alizadehsani;Mohamad Roshanzamir;Abbas Khosravi

  • Bag-of-words representation for biomedical time series classification

    Jin Wang;Ping Liu;Mary Fenghua She;Saeid Nahavandi

  • Deep Learning for Deepfakes Creation and Detection: A Survey

    Thanh Thi Nguyen;Minh C. Nguyen;Dung Tien Nguyen;Duc Thanh Nguyen

  • Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

    Marjane Khodatars;Afshin Shoeibi;Navid Ghassemi;Mahboobeh Jafari

Frequent Co-Authors

Abbas Khosravi
Abbas Khosravi Deakin University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Abbas Z. Kouzani
Abbas Z. Kouzani Deakin University
Houshyar Asadi
Houshyar Asadi Deakin University
Khashayar Khoshmanesh
Khashayar Khoshmanesh RMIT University
Ben Horan
Ben Horan Deakin University
Hieu Trinh
Hieu Trinh Deakin University
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University
Kourosh Kalantar-zadeh
Kourosh Kalantar-zadeh University of Sydney
Lingxue Kong
Lingxue Kong Deakin University

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