Distinguished Professor Saeid Nahavandi

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CP LimProfessor, Deakin UniversityVerified email at deakin.edu.au
Hieu TrinhProfessor, School of Engineering, Deakin University, AustraliaVerified email at deakin.edu.au
Dipti SrinivasanIEEE Fellow; Professor, National University ofVerified email at nus.edu.sg
Mohsen M.DalvandHarvard UniversityVerified email at seas.harvard.edu
Amir AtiyaCairo UniversityVerified email at alumni.caltech.edu
Tyrone FernandoProfessor, University of Western AustraliaVerified email at uwa.edu.au
Donald WlodkowicProfessor, Head of Neurotox Lab at RMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
Prakash ManiAssistant ProfessorVerified email at vit.ac.in
Bijan ShirinzadehProfessor of Mechanical and Aerospace Engineering, Monash University - Director: RMRLVerified email at monash.edu
Jean-Bernard DucheminInstitut PasteurVerified email at pasteur-cayenne.fr
Hamid GarmestaniProfessor of Materials Science, Georgia Institute of TechnologyVerified email at gatech.edu
Prasad ParadkarGroup Leader, CSIROVerified email at csiro.au
Edward TunstelMotiv Space SystemsVerified email at ieee.org
David E WilliamsProfessor of Chemistry, University of AUcklandVerified email at Auckland.ac.nz
Jon CooperUniversity of GlasgowVerified email at elec.gla.ac.uk
Anthony A. MaciejewskiProfessor of Electrical and Computer Engineering, Colorado State UniversityVerified email at colostate.edu
Peter VamplewProfessor, Information Technology, Federation University AustraliaVerified email at federation.edu.au
Adam ChrimesCore Technology Manager, Atmo BiosciencesVerified email at atmobiosciences.com
Steph HutchisonLecturer in Dance, Queensland University of TechnologyVerified email at qut.edu.au
Andrey V. SavkinProfessor of Electrical Engineering, University of New South Wales, Sydney, AustraliaVerified email at unsw.edu.au

Distinguished Professor Saeid Nahavandi

IEEE Fellow, Swinburne University of Technology, Harvard University

Verified email at ieee.org - Homepage

Intelligent Systems Intelligent Control Haptics System of systems Modelling and Simulation


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A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information fusion 76, 243-297, 2021	1334	2021
Industry 5.0—A human-centric solution S Nahavandi Sustainability 11 (16), 4371, 2019	839	2019
Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications TT Nguyen, ND Nguyen, S Nahavandi IEEE transactions on cybernetics 50 (9), 3826-3839, 2020	804	2020
Lower upper bound estimation method for construction of neural network-based prediction intervals A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE transactions on neural networks 22 (3), 337-346, 2010	648	2010
Comprehensive review of neural network-based prediction intervals and new advances A Khosravi, S Nahavandi, D Creighton, AF Atiya IEEE Transactions on neural networks 22 (9), 1341-1356, 2011	620	2011
Dielectrophoretic platforms for bio-microfluidic systems K Khoshmanesh, S Nahavandi, S Baratchi, A Mitchell, K Kalantar-zadeh Biosensors and Bioelectronics 26 (5), 1800-1814, 2011	454	2011
Comments on'Information measure for performance of image fusion' M Hossny, S Nahavandi, D Creighton Deakin University, 2008	434	2008
Deep learning for deepfakes creation and detection: A survey TT Nguyen, QVH Nguyen, DT Nguyen, DT Nguyen, T Huynh-The, ... Computer Vision and Image Understanding 223, 103525, 2022	409	2022
A review of vision-based gait recognition methods for human identification J Wang, M She, S Nahavandi, A Kouzani 2010 international conference on digital image computing: techniques and …, 2010	285	2010
Synchronization of an inertial neural network with time-varying delays and its application to secure communication S Lakshmanan, M Prakash, CP Lim, R Rakkiyappan, P Balasubramaniam, ... IEEE transactions on neural networks and learning systems 29 (1), 195-207, 2016	282	2016
Prediction intervals for short-term wind farm power generation forecasts A Khosravi, S Nahavandi, D Creighton IEEE Transactions on sustainable energy 4 (3), 602-610, 2013	266	2013
Construction of optimal prediction intervals for load forecasting problems A Khosravi, S Nahavandi, D Creighton IEEE Transactions on Power Systems 25 (3), 1496-1503, 2010	253	2010
Efficient road detection and tracking for unmanned aerial vehicle H Zhou, H Kong, L Wei, D Creighton, S Nahavandi IEEE transactions on intelligent transportation systems 16 (1), 297-309, 2014	245	2014
Epileptic seizures detection using deep learning techniques: A review A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ... International Journal of Environmental Research and Public Health 18 (11), 5780, 2021	238	2021
A new fuzzy-based combined prediction interval for wind power forecasting A Kavousi-Fard, A Khosravi, S Nahavandi IEEE Transactions on Power Systems 31 (1), 18-26, 2015	235	2015
Automated detection and forecasting of covid-19 using deep learning techniques: A review A Shoeibi, M Khodatars, R Alizadehsani, N Ghassemi, M Jafari, ... arXiv preprint arXiv:2007.10785, 2020	223	2020
Neural network-based uncertainty quantification: A survey of methodologies and applications HMD Kabir, A Khosravi, MA Hosen, S Nahavandi IEEE access 6, 36218-36234, 2018	213	2018
Interval type-2 fuzzy logic systems for load forecasting: A comparative study A Khosravi, S Nahavandi, D Creighton, D Srinivasan IEEE Transactions on Power Systems 27 (3), 1274-1282, 2012	208	2012
Characterization of conducting polymer coated synthetic fabrics for heat generation E Hakansson, A Kaynak, T Lin, S Nahavandi, T Jones, E Hu Synthetic Metals 144 (1), 21-28, 2004	186	2004
Prediction intervals to account for uncertainties in travel time prediction A Khosravi, E Mazloumi, S Nahavandi, D Creighton, JWC Van Lint IEEE Transactions on Intelligent Transportation Systems 12 (2), 537-547, 2011	183	2011

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