Professor Saeid Nahavandi

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Citations	22947	17270
h-index	68	60
i10-index	498	394

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Asim BhattiAssociate Professor; Deakin UniversityVerified email at deakin.edu.au
CP LimProfessor, Deakin UniversityVerified email at deakin.edu.au
roohallah alizadehsaniAlfred Deakin Postdoctoral Research Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au
Thanh Thi NguyenSenior Lecturer, Deakin UniversityVerified email at deakin.edu.au
Khashayar KhoshmaneshRMIT University, Co-Leader, Mechanobiilogy & Microfluidics Research GroupVerified email at rmit.edu.au
Lei WeiDeakin UniversityVerified email at deakin.edu.au
Hailing ZhouDeakin UniversityVerified email at deakin.edu.au
fahime khozeimehFaculty of Medicine, Mashhad University of Medical Sciences, Mashhad, IranVerified email at mums.ac.ir
Hieu TrinhProfessor, School of Engineering, Deakin University, AustraliaVerified email at deakin.edu.au
Samer HanounAssociate Professor with Institute for Intelligent Systems Research and Innovation, DeakinVerified email at deakin.edu.au
Syed Moshfeq SalakenPhD student, Deakin UniversityVerified email at research.deakin.edu.au
Imali Thanuja HettiarachchiCentre for Intelligent Systems Research, Deakin UniversityVerified email at deakin.edu.au
Kourosh Kalantar-ZadehARC Laureate Fellow, Prof at UNSW & Honorary Prof at the University of Sydney & RMITVerified email at UNSW.edu.au
Arnan MitchellDistinguished Professor and Director Micro Nano Research Facility, RMIT UniversityVerified email at rmit.edu.au
Anwar HosenInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong WaurnVerified email at deakin.edu.au
Michael JohnstoneInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin UniversityVerified email at deakin.edu.au
Lingxue KongProfessor, Institute for Frontier Materials, Deakin UniversityVerified email at deakin.edu.au
Dipti SrinivasanIEEE Fellow; Professor, National University ofVerified email at nus.edu.sg
Lakshmanan ShanmugamAssociate Professor, Division of Mathematics, School of Advanced Sciences, Vellore Institute ofVerified email at vit.ac.in
Kyle NelsonInstitute for Intelligent Systems Research and Innovation (IISRI), Deakin UniversityVerified email at deakin.edu.au

Professor Saeid Nahavandi

IEEE Fellow, Director, IISRI, Deakin University and Harvard University

Verified email at deakin.edu.au - Homepage

Intelligent Systems Intelligent Control Haptics System of systems Modelling and Simulation


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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	501	2011
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	498	2010
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	439	2020
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	414	2011
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	402	2021
Comments on'Information measure for performance of image fusion' M Hossny, S Nahavandi, D Creighton Electronics letters 44 (18), 1066-1067, 2008	365	2008
Industry 5.0—A human-centric solution S Nahavandi Sustainability 11 (16), 4371, 2019	348	2019
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	259	2010
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	233	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	231	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	212	2016
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	212	2015
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	211	2014
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	195	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	178	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	164	2011
Bag-of-words representation for biomedical time series classification J Wang, P Liu, MFH She, S Nahavandi, A Kouzani Biomedical Signal Processing and Control 8 (6), 634-644, 2013	156	2013
Automatic inspection of metallic surface defects using genetic algorithms H Zheng, LX Kong, S Nahavandi Journal of materials processing technology 125, 427-433, 2002	153	2002
Electromagnetic interference shielding and radiation absorption in thin polypyrrole films E Håkansson, A Amiet, S Nahavandi, A Kaynak European polymer journal 43 (1), 205-213, 2007	144	2007
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	138	2020

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