Dr Rohitash   Chandra
Senior Lecturer

Dr Rohitash Chandra

  1. PhD in Artificial Intelligence, Victoria University of Wellington (2012)
  2. MSc. in Artificial Intelligence, University of Fiji (2008)
  3. BSc. in Computer Science and Engineering Technology, University of the South Pacific (2006)
Science
Sch of Mathematics & Statistic

Dr Rohitash Chandra is a Senior Lecturer in Data Science at the UNSW School of Mathematics and Statistics. Dr Chandra leads a program of research encircling methodologies and applications of artificial intelligence; particularly in areas of Bayesian deep learning, neuro-evolution,  climate extremes, geoscientific models, and mineral exploration.  Dr Chandra has developed novel methods for machine learning inspired by neural systems and learning behaviour that include transfer and multi-task learning, with the goal of modular deep learning. His current interest is uncertainty quantification and deep learning with applications to language models,  vaccine research, and COVID-19.

Dr Chandra has attracted multi-million dollar funding with a leading international interdisciplinary team. He is the Data Theme Lead of the Australian Research Council (ARC ITTC) Training Centre for Data Analytics in Minerals and Resources (2020-2025). Dr Chandra is an Associate Editor (Topical Editor) for Geoscientific Model Development, Neurocomputing (Elsevier), and  IEEE Transactions on Neural Networks and Learning Systems. Dr Chandra is a Senior Member of IEEE and UNSW Cultural Diversity Champion (2021-2023). Dr Chandra is part of NHMRC Medical Research Future Fund (2021-2022) for COVID-19 vaccine testing research led by CSIRO.  

Prior to joining UNSW, Dr Chandra held Sydney Research Fellowship at the University of Sydney (2017 - 2019). Prior to this, he has taken roles as Research Fellow in Machine Learning at Rolls Royce @Corp Lab, Nanyang Technological University, Singapore; Postdoctoral Research Fellow in Bioinformatics at Victoria University of Wellington (January to June 2012), and Lecturer in Computing Science at the University of the South Pacific (2013- 2015). Dr Chandra is originally from Fiji with a Girmit Indian heritage.

 

 

Available PhD project with scholarship

  • Bayesian deep learning for hydrological models (PhD) with Prof. Lucy Marshall. The project is funded by the Australian Research Council (ARC ITTC) Training Centre for Data Analytics in Minerals and Resources.
  • Requirements: First Class Honours or Masters by Research in Computational Statistics, Machine Learning, or Computer Science (with good grades). At least one paper in SJR Q1/Q2 ranked journal or equivalent conference proceeding. Available to Australian and international candidates. Apply: email rohitash.chandra at unsw.edu.au

Available Research Projects 

  1. Bayesian deep learning for protein function detection (PhD), Co-supervised by Prof. Alok Sharma
  2. Cyclone path and intensity prediction with deep insight based deep learning (Masters/Honours)
  3. Indoor path navigation for disabled persons in large buildings (Masters/Honours) 
  4. Detection of electric cable hazards from Cyclones using  drones and  remote sensing and deep learning (Masters/Honours) 
  5. Dynamic Earth models, landscape dynamics and basin evolution (PhD), Co-supervised by Prof. Dietmar Muller  More details
  6. Machine learning for reef modelling and Optimisation, Co-supervised by Prof. Jody Webster More information
  7. Deep learning for the reconstruction of 3D Ore-bodies, Co-supervised by  Dr Ehsan Farahbakhsh
  8. Memory in Recurrent Neural Networks and Neural Turing Machines, Honours/PhD
  9. Bayesian deep learning with incomplete information, Honours/PhD
  10. Variational Bayes for Spatio-temporal modelling (Honours/Masters/PhD) with Prof. Robert Kohn
  11. COVID-19 Modelling with Graph Neural Networks (Honours/Masters)
  12. Pruning Bayesian deep learning (Honours/Masters)
  13. Bayesian deep learning for language models  (Honours/Masters/PhD)
  14. Sentiment analysis with deep learning during natural disasters and extreme events (Honours/Masters/PhD)
  15. Human-robot language translation using deep learning  (Honours/Masters/PhD)
  16. Deep learning for monitoring abuse in social media  (Honours/PhD)
  17. Ensemble learning for class imbalanced problems (Honours/PhD)  with Dr Rodney Beard 
  18. Bayesian deep learning for hydrological models (Honours/PhD) with Prof. Lucy Marshall

 

Access research papers: https://github.com/rohitash-chandra/research

 

 

Phone
0413071839
Location
School of Mathematics and Statistics UNSW Sydney NSW 2052 The Red Centre Room 4110

Publications

  • Book Chapters | 2019
    Dr Rohitash Chandra
    Deo R; Chandra R, 2019, 'Multi-step-ahead Cyclone Intensity Prediction with Bayesian Neural Networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Yanuca Island, Fiji, pp. 282 - 295, http://dx.doi.org/10.1007/978-3-030-29911-8_22
    Book Chapters | 2017
    Dr Rohitash Chandra
    Chandra R, 2017, 'Dynamic cyclone wind-intensity prediction using co-evolutionary multi-task learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 618 - 627, http://dx.doi.org/10.1007/978-3-319-70139-4_63
    Book Chapters | 2017
    Dr Rohitash Chandra
    Chandra R, 2017, 'Multi-task modular backpropagation for feature-based pattern classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 558 - 566, http://dx.doi.org/10.1007/978-3-319-70136-3_59
    Book Chapters | 2017
    Dr Rohitash Chandra
    Chandra R, 2017, 'Co-evolutionary multi-task learning for modular pattern classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 692 - 701, http://dx.doi.org/10.1007/978-3-319-70136-3_73
    Book Chapters | 2017
    Dr Rohitash Chandra
    Chandra R; Azizi L; Cripps S, 2017, 'Bayesian neural learning via langevin dynamics for chaotic time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 564 - 573, http://dx.doi.org/10.1007/978-3-319-70139-4_57
    Book Chapters | 2017
    Dr Rohitash Chandra
    Chandra R, 2017, 'Towards an affective computational model for machine consciousness', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 897 - 907, http://dx.doi.org/10.1007/978-3-319-70139-4_91
    Book Chapters | 2016
    Dr Rohitash Chandra
    Chandra R; Gupta A; Ong YS; Goh CK, 2016, 'Evolutionary multi-task learning for modular training of feedforward neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 37 - 46, http://dx.doi.org/10.1007/978-3-319-46672-9_5
    Book Chapters | 2016
    Dr Rohitash Chandra
    Chaudhry S; Chandra R, 2016, 'Unconstrained face detection from a mobile source using convolutional neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 567 - 576, http://dx.doi.org/10.1007/978-3-319-46672-9_63
    Book Chapters | 2016
    Dr Rohitash Chandra
    Nand R; Chandra R, 2016, 'Reverse neuron level decomposition for cooperative neuro-evolution of feedforward networks for time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 171 - 182, http://dx.doi.org/10.1007/978-3-319-28270-1_15
    Book Chapters | 2016
    Dr Rohitash Chandra
    Nand R; Chandra R, 2016, 'Coevolutionary feature selection and reconstruction in neuro-evolution for time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 285 - 297, http://dx.doi.org/10.1007/978-3-319-28270-1_24
    Book Chapters | 2016
    Dr Rohitash Chandra
    Wong G; Chandra R; Sharma A, 2016, 'Memetic cooperative neuro-evolution for chaotic time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 299 - 308, http://dx.doi.org/10.1007/978-3-319-46675-0_33
    Book Chapters | 2016
    Dr Rohitash Chandra
    Hussein S; Chandra R, 2016, 'Chaotic feature selection and reconstruction in time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 3 - 11, http://dx.doi.org/10.1007/978-3-319-46675-0_1
    Book Chapters | 2016
    Dr Rohitash Chandra
    Nand R; Chandra R, 2016, 'Competitive Island cooperative neuro-evolution of feedforward networks for time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 160 - 170, http://dx.doi.org/10.1007/978-3-319-28270-1_14
    Book Chapters | 2015
    Dr Rohitash Chandra
    Nand R; Chandra R, 2015, 'Neuron-synapse level problem decomposition method for cooperative neuro-evolution of feedforward networks for time series prediction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 90 - 100, http://dx.doi.org/10.1007/978-3-319-26555-1_11
    Book Chapters | 2015
    Dr Rohitash Chandra
    Bali KK; Chandra R, 2015, 'Multi-island competitive cooperative coevolution for real parameter global optimization', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 127 - 136, http://dx.doi.org/10.1007/978-3-319-26555-1_15
    Book Chapters | 2015
    Dr Rohitash Chandra
    Wong G; Chandra R, 2015, 'Enhancing competitive island cooperative neuro-evolution through backpropagation for pattern classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 293 - 301, http://dx.doi.org/10.1007/978-3-319-26532-2_32
    Book Chapters | 2015
    Dr Rohitash Chandra
    Bali KK; Chandra R; Omidvar MN, 2015, 'Competitive island-based cooperative coevolution for efficient optimization of large-scale fully-separable continuous functions', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 137 - 147, http://dx.doi.org/10.1007/978-3-319-26555-1_16
    Book Chapters | 2015
    Dr Rohitash Chandra
    Chandra R; Dayal KS, 2015, 'Coevolutionary recurrent neural networks for prediction of rapid intensification in wind intensity of tropical cyclones in the south pacific region', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 43 - 52, http://dx.doi.org/10.1007/978-3-319-26555-1_6
    Book Chapters | 2015
    Dr Rohitash Chandra
    Bali KK; Chandra R, 2015, 'Scaling up multi-island competitive cooperative coevolution for real parameter global optimisation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 34 - 48, http://dx.doi.org/10.1007/978-3-319-26350-2_4
    Book Chapters | 2012
    Dr Rohitash Chandra
    Chandra R; Zhang M; Peng L, 2012, 'Application of cooperative convolution optimization for 13C metabolic flux analysis: Simulation of isotopic labeling patterns based on tandem mass spectrometry measurements', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 178 - 187, http://dx.doi.org/10.1007/978-3-642-34859-4_18
    Book Chapters | 2010
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2010, 'An encoding scheme for cooperative coevolutionary feedforward neural networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 253 - 262, http://dx.doi.org/10.1007/978-3-642-17432-2_26
    Book Chapters | 2009
    Dr Rohitash Chandra
    Chandra R; Zhang M; Rolland L, 2009, 'Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm', in Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, pp. 177 - 182, http://dx.doi.org/10.1109/CIRA.2009.5423213
  • Journal articles | 2021
    Dr Rohitash Chandra
    Olierook HKH; Scalzo R; Kohn D; Chandra R; Farahbakhsh E; Clark C; Reddy SM; Müller RD, 2021, 'Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models', Geoscience Frontiers, vol. 12, pp. 479 - 493, http://dx.doi.org/10.1016/j.gsf.2020.04.015
    Journal articles | 2021
    Dr Rohitash Chandra
    Diaz-Rodriguez J; Müller RD; Chandra R, 2021, 'Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model', Ore Geology Reviews, vol. 137, pp. 104300 - 104300, http://dx.doi.org/10.1016/j.oregeorev.2021.104300
    Journal articles | 2021
    Dr Rohitash Chandra
    Chandra R; Cripps S; Butterworth N; Muller RD, 2021, 'Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning', Environmental Modelling and Software, vol. 139, pp. 105002 - 105002, http://dx.doi.org/10.1016/j.envsoft.2021.105002
    Journal articles | 2021
    Dr Rohitash Chandra
    Chandra R; He Y, 2021, 'Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic', PLoS ONE, vol. 16, pp. e0253217, http://dx.doi.org/10.1371/journal.pone.0253217
    Journal articles | 2021
    Dr Rohitash Chandra
    Chandra R; Goyal S; Gupta R, 2021, 'Evaluation of deep learning models for multi-step ahead time series prediction', IEEE Access, pp. 83105 - 83123, http://dx.doi.org/10.1109/ACCESS.2021.3085085
    Journal articles | 2020
    Dr Rohitash Chandra
    Farahbakhsh E; Chandra R; Olierook HKH; Scalzo R; Clark C; Reddy SM; Müller RD, 2020, 'Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data', International Journal of Remote Sensing, vol. 41, pp. 1760 - 1787, http://dx.doi.org/10.1080/01431161.2019.1674462
    Journal articles | 2020
    Dr Rohitash Chandra
    Shirmard H; Farahbakhsh E; Pour AB; Muslim AM; Dietmar Müller R; Chandra R, 2020, 'Integration of selective dimensionality reduction techniques for mineral exploration using ASTER satellite data', Remote Sensing, vol. 12, http://dx.doi.org/10.3390/RS12081261
    Journal articles | 2020
    Dr Rohitash Chandra
    Chandra R; Jain K; Kapoor A; Aman A, 2020, 'Surrogate-assisted parallel tempering for Bayesian neural learning', Engineering Applications of Artificial Intelligence, vol. 94, http://dx.doi.org/10.1016/j.engappai.2020.103700
    Journal articles | 2020
    Dr Rohitash Chandra
    Chandra R; Azam D; Kapoor A; Dietmar Müller R, 2020, 'Surrogate-assisted Bayesian inversion for landscape and basin evolution models', Geoscientific Model Development, vol. 13, pp. 2959 - 2979, http://dx.doi.org/10.5194/gmd-13-2959-2020
    Journal articles | 2020
    Dr Rohitash Chandra
    Chandra R; Kapoor A, 2020, 'Bayesian neural multi-source transfer learning', Neurocomputing, vol. 378, pp. 54 - 64, http://dx.doi.org/10.1016/j.neucom.2019.10.042
    Journal articles | 2020
    Dr Rohitash Chandra
    Farahbakhsh E; Hezarkhani A; Eslamkish T; Bahroudi A; Chandra R, 2020, 'Three-dimensional weights of evidence modelling of a deep-seated porphyry cu deposit', Geochemistry: Exploration, Environment, Analysis, vol. 20, pp. 480 - 495, http://dx.doi.org/10.1144/geochem2020-038
    Journal articles | 2020
    Dr Rohitash Chandra
    Pall J; Chandra R; Azam D; Salles T; Webster JM; Scalzo R; Cripps S, 2020, 'Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics', Environmental Modelling and Software, vol. 125, pp. 104610 - 104610, http://dx.doi.org/10.1016/j.envsoft.2019.104610
    Journal articles | 2019
    Dr Rohitash Chandra
    Chandra R; Jain K; Deo RV; Cripps S, 2019, 'Langevin-gradient parallel tempering for Bayesian neural learning', Neurocomputing, vol. 359, pp. 315 - 326, http://dx.doi.org/10.1016/j.neucom.2019.05.082
    Journal articles | 2019
    Dr Rohitash Chandra
    Chandra R; Azam D; Müller RD; Salles T; Cripps S, 2019, 'Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands', Computers and Geosciences, vol. 131, pp. 89 - 101, http://dx.doi.org/10.1016/j.cageo.2019.06.012
    Journal articles | 2019
    Dr Rohitash Chandra
    Farahbakhsh E; Chandra R; Eslamkish T; Müller RD, 2019, 'Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization', Journal of Geochemical Exploration, vol. 204, pp. 12 - 32, http://dx.doi.org/10.1016/j.gexplo.2019.05.003
    Journal articles | 2019
    Dr Rohitash Chandra
    Chandra R; Müller RD; Azam D; Deo R; Butterworth N; Salles T; Cripps S, 2019, 'Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution', Geochemistry, Geophysics, Geosystems, vol. 20, pp. 5082 - 5104, http://dx.doi.org/10.1029/2019GC008465
    Journal articles | 2019
    Dr Rohitash Chandra
    Scalzo R; Kohn D; Olierook H; Houseman G; Chandra R; Girolami M; Cripps S, 2019, 'Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success', Geoscientific Model Development, vol. 12, pp. 2941 - 2960, http://dx.doi.org/10.5194/gmd-12-2941-2019
    Journal articles | 2018
    Dr Rohitash Chandra
    Chandra R; Gupta A; Ong YS; Goh CK, 2018, 'Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks', Neural Processing Letters, vol. 47, pp. 993 - 1009, http://dx.doi.org/10.1007/s11063-017-9718-z
    Journal articles | 2018
    Dr Rohitash Chandra
    Chandra R; Ong YS; Goh CK, 2018, 'Co-evolutionary multi-task learning for dynamic time series prediction', Applied Soft Computing Journal, vol. 70, pp. 576 - 589, http://dx.doi.org/10.1016/j.asoc.2018.05.041
    Journal articles | 2018
    Dr Rohitash Chandra
    Chandra R; Cripps S, 2018, 'Coevolutionary multi-task learning for feature-based modular pattern classification', Neurocomputing, vol. 319, pp. 164 - 175, http://dx.doi.org/10.1016/j.neucom.2018.08.011
    Journal articles | 2017
    Dr Rohitash Chandra
    Chandra R; Ong YS; Goh CK, 2017, 'Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction', Neurocomputing, vol. 243, pp. 21 - 34, http://dx.doi.org/10.1016/j.neucom.2017.02.065
    Journal articles | 2017
    Dr Rohitash Chandra
    Chaudhry S; Chandra R, 2017, 'Face detection and recognition in an unconstrained environment for mobile visual assistive system', Applied Soft Computing Journal, vol. 53, pp. 168 - 180, http://dx.doi.org/10.1016/j.asoc.2016.12.035
    Journal articles | 2016
    Dr Rohitash Chandra
    Chandra R; Chand S, 2016, 'Evaluation of co-evolutionary neural network architectures for time series prediction with mobile application in finance', Applied Soft Computing Journal, vol. 49, pp. 462 - 473, http://dx.doi.org/10.1016/j.asoc.2016.08.029
    Journal articles | 2016
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2016, 'The forward kinematics of the 6-6 parallel manipulator using an evolutionary algorithm based on generalized generation gap with parent-centric crossover', Robotica, vol. 34, pp. 1 - 22, http://dx.doi.org/10.1017/S0263574714001362
    Journal articles | 2015
    Dr Rohitash Chandra
    Chandra R, 2015, 'Competition and collaboration in cooperative coevolution of elman recurrent neural networks for time-series prediction', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, pp. 3123 - 3136, http://dx.doi.org/10.1109/TNNLS.2015.2404823
    Journal articles | 2015
    Dr Rohitash Chandra
    Chandra R; Rolland L, 2015, 'Global–local population memetic algorithm for solving the forward kinematics of parallel manipulators', Connection Science, vol. 27, pp. 22 - 39, http://dx.doi.org/10.1080/09540091.2014.948385
    Journal articles | 2014
    Dr Rohitash Chandra
    Chandra R, 2014, 'Memetic cooperative coevolution of Elman recurrent neural networks', Soft Computing, vol. 18, pp. 1549 - 1559, http://dx.doi.org/10.1007/s00500-013-1160-1
    Journal articles | 2012
    Dr Rohitash Chandra
    Chandra R; Zhang M, 2012, 'Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction', Neurocomputing, vol. 86, pp. 116 - 123, http://dx.doi.org/10.1016/j.neucom.2012.01.014
    Journal articles | 2012
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2012, 'Crossover-based local search in cooperative co-evolutionary feedforward neural networks', Applied Soft Computing Journal, vol. 12, pp. 2924 - 2932, http://dx.doi.org/10.1016/j.asoc.2012.04.010
    Journal articles | 2012
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2012, 'On the issue of separability for problem decomposition in cooperative neuro-evolution', Neurocomputing, vol. 87, pp. 33 - 40, http://dx.doi.org/10.1016/j.neucom.2012.02.005
    Journal articles | 2012
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2012, 'Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks', Soft Computing, vol. 16, pp. 1009 - 1020, http://dx.doi.org/10.1007/s00500-011-0798-9
    Journal articles | 2011
    Dr Rohitash Chandra
    Chandra R; Rolland L, 2011, 'On solving the forward kinematics of 3RPR planar parallel manipulator using hybrid metaheuristics', Applied Mathematics and Computation, vol. 217, pp. 8997 - 9008, http://dx.doi.org/10.1016/j.amc.2011.03.106
    Journal articles | 2011
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M; Omlin CW, 2011, 'Encoding subcomponents in cooperative co-evolutionary recurrent neural networks', Neurocomputing, vol. 74, pp. 3223 - 3234, http://dx.doi.org/10.1016/j.neucom.2011.05.003
    Journal articles | 2009
    Dr Rohitash Chandra
    Chandra R; Knight R; Omlin CW, 2009, 'Renosterveld conservation in South Africa: A case study for handling uncertainty in knowledge-based neural networks for environmental management', Journal of Environmental Informatics, vol. 13, pp. 56 - 65, http://dx.doi.org/10.3808/jei.200900140
  • Software / Code | 2020
    Dr Rohitash Chandra
    Farahbakhsh E; Hezarkhani A; Eslamkish T; Bahroudi A; Chandra R, 2020, 3DWofE: An open-source software package for three-dimensional weights of evidence modeling, Elsevier BV, Published: 2020, Software / Code, http://dx.doi.org/10.1016/j.simpa.2020.100039
    Conference Presentations | 2019
    Dr Rohitash Chandra
    Chandra R; Azam D; Dietmar Müller R, 2019, 'Probabilistic modelling of sedimentary basin evolution using Bayeslands', Vol. 2019, pp. 1 - 5, http://dx.doi.org/10.1080/22020586.2019.12073181
    Conference Papers | 2018
    Dr Rohitash Chandra
    Wong G; Sharma A; Chandra R, 2018, 'Information Collection Strategies in Memetic Cooperative Neuroevolution for Time Series Prediction', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489184
    Conference Papers | 2018
    Dr Rohitash Chandra
    Chandra R; Cripps AS, 2018, 'Bayesian Multi-task Learning for Dynamic Time Series Prediction', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489323
    Conference Papers | 2018
    Dr Rohitash Chandra
    Chandra R, 2018, 'Multi-Task Modular Backpropagation for Dynamic Time Series Prediction', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489740
    Conference Papers | 2018
    Dr Rohitash Chandra
    Zhang Y; Chandra R; Gao J, 2018, 'Cyclone Track Prediction with Matrix Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489077
    Conference Presentations | 2018
    Dr Rohitash Chandra
    Alac R; Zahirovic S; Salles T; Muller D; Cripps S; Ramos F; Chandra R, 2018, 'Surface Process Models of The Lake Eyre Basin Using Badlands Software', Vol. 2018, pp. 1 - 1, http://dx.doi.org/10.1071/aseg2018abp011
    Conference Papers | 2017
    Dr Rohitash Chandra
    Tan AW; Sagarna R; Gupta A; Chandra R; Ong YS, 2017, 'Coping with Data Scarcity in Aircraft Engine Design', in 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, American Institute of Aeronautics and Astronautics, presented at 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, http://dx.doi.org/10.2514/6.2017-4434
    Conference Papers | 2016
    Dr Rohitash Chandra
    Chandra R; Deo R; Bali K; Sharma A, 2016, 'On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 4823 - 4830, http://dx.doi.org/10.1109/CEC.2016.7744408
    Conference Papers | 2016
    Dr Rohitash Chandra
    Deo R; Chandra R, 2016, 'Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction', in Proceedings of the International Joint Conference on Neural Networks, pp. 489 - 496, http://dx.doi.org/10.1109/IJCNN.2016.7727239
    Conference Papers | 2016
    Dr Rohitash Chandra
    Chandra R; Deo R; Omlin CW, 2016, 'An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks', in Proceedings of the International Joint Conference on Neural Networks, pp. 4865 - 4872, http://dx.doi.org/10.1109/IJCNN.2016.7727839
    Conference Papers | 2016
    Dr Rohitash Chandra
    Hussein S; Chandra R; Sharma A, 2016, 'Multi-step-ahead chaotic time series prediction using coevolutionary recurrent neural networks', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 3084 - 3091, http://dx.doi.org/10.1109/CEC.2016.7744179
    Conference Papers | 2016
    Dr Rohitash Chandra
    Rana M; Chandra R; Agelidis VG, 2016, 'Cooperative neuro-evolutionary recurrent neural networks for solar power prediction', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 4691 - 4698, http://dx.doi.org/10.1109/CEC.2016.7744389
    Conference Papers | 2016
    Dr Rohitash Chandra
    Bali K; Chandra R; Omidvar MN, 2016, 'Contribution based multi-island competitive cooperative coevolution', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 1823 - 1830, http://dx.doi.org/10.1109/CEC.2016.7744010
    Conference Papers | 2015
    Dr Rohitash Chandra
    Chandra R, 2015, 'Multi-objective cooperative neuro-evolution of recurrent neural networks for time series prediction', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 101 - 108, http://dx.doi.org/10.1109/CEC.2015.7256880
    Conference Papers | 2015
    Dr Rohitash Chandra
    Chandra R; Dayal K; Rollings N, 2015, 'Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2015.7280394
    Conference Papers | 2015
    Dr Rohitash Chandra
    Chandra R; Wong G, 2015, 'Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2015.7280349
    Conference Papers | 2015
    Dr Rohitash Chandra
    Chandra R; Dayal K, 2015, 'Cooperative neuro-evolution of Elman recurrent networks for tropical cyclone wind-intensity prediction in the South Pacific region', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 1784 - 1791, http://dx.doi.org/10.1109/CEC.2015.7257103
    Conference Papers | 2015
    Dr Rohitash Chandra
    Chandra R; Bali K, 2015, 'Competitive two-island cooperative coevolution for real parameter global optimisation', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 93 - 100, http://dx.doi.org/10.1109/CEC.2015.7256879
    Conference Papers | 2014
    Dr Rohitash Chandra
    Chand S; Chandra R, 2014, 'Multi-objective cooperative coevolution of neural networks for time series prediction', in Proceedings of the International Joint Conference on Neural Networks, pp. 190 - 197, http://dx.doi.org/10.1109/IJCNN.2014.6889442
    Conference Papers | 2014
    Dr Rohitash Chandra
    Chand S; Chandra R, 2014, 'Cooperative coevolution of feed forward neural networks for financial time series problem', in Proceedings of the International Joint Conference on Neural Networks, pp. 202 - 209, http://dx.doi.org/10.1109/IJCNN.2014.6889568
    Conference Papers | 2014
    Dr Rohitash Chandra
    Chandra R, 2014, 'Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction', in Proceedings of the International Joint Conference on Neural Networks, pp. 565 - 572, http://dx.doi.org/10.1109/IJCNN.2014.6889421
    Conference Papers | 2014
    Dr Rohitash Chandra
    Singh V; Bali A; Adhikthikar A; Chandra R, 2014, 'Web and mobile based tourist travel guide system for Fiji's tourism industry', in Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2014, http://dx.doi.org/10.1109/APWCCSE.2014.7053840
    Conference Papers | 2013
    Dr Rohitash Chandra
    Chandra R, 2013, 'Adaptive problem decomposition in cooperative coevolution of recurrent networks for time series prediction', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2013.6706997
    Conference Papers | 2011
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2011, 'A memetic framework for cooperative coevolution of recurrent neural networks', in Proceedings of the International Joint Conference on Neural Networks, pp. 673 - 680, http://dx.doi.org/10.1109/IJCNN.2011.6033286
    Conference Papers | 2011
    Dr Rohitash Chandra
    Chandra R; Frean M; Zhang M, 2011, 'Modularity adaptation in cooperative coevolution of feedforward neural networks', in Proceedings of the International Joint Conference on Neural Networks, pp. 681 - 688, http://dx.doi.org/10.1109/IJCNN.2011.6033287
    Conference Papers | 2010
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2010, 'On solving the forward kinematics of the 6-6 general parallel manipulator with an efficient evolutionary algorithm', in CISM International Centre for Mechanical Sciences, Courses and Lectures, pp. 117 - 124, http://dx.doi.org/10.1007/978-3-7091-0277-0_13
    Conference Papers | 2009
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2009, 'Forward kinematics of the 6-6 general parallel manipulator using real coded genetic algorithms', in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, pp. 1637 - 1642, http://dx.doi.org/10.1109/AIM.2009.5229824
    Conference Papers | 2009
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2009, 'Forward kinematics of the 3RPR planar parallel manipulators using real coded Genetic Algorithms', in 2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009, pp. 381 - 386, http://dx.doi.org/10.1109/ISCIS.2009.5291810
    Conference Papers | 2009
    Dr Rohitash Chandra
    Chandra R; Frean M; Rolland L, 2009, 'A meta-heuristic paradigm for solving the forward kinematics of 6-6 general parallel manipulator', in Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, pp. 171 - 176, http://dx.doi.org/10.1109/CIRA.2009.5423212
    Conference Papers | 2009
    Dr Rohitash Chandra
    Chandra R; Zhang M; Rolland L, 2009, 'Solving the Forward Kinematics of the 3RPR Planar Parallel Manipulator using a Hybrid Meta-Heuristic Paradigm', pp. 1 - 6, http://dx.doi.org/10.1109/cira.2009.5423213
    Conference Papers | 2009
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2009, 'Forward Kinematics of the 6-6 general Parallel Manipulator Using Real Coded Genetic Algorithms', in 2009 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3, IEEE, Singapore, SINGAPORE, pp. 1630 - +, presented at IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Singapore, SINGAPORE, 14 July 2009 - 17 July 2009, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000277062800278&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2009
    Dr Rohitash Chandra
    Rolland L; Chandra R, 2009, 'Forward Kinematics of the 3RPR planar Parallel Manipulators Using Real Coded Genetic Algorithms', in 2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES, IEEE, Guzelyurt, CYPRUS, pp. 380 - 385, presented at 24th International Symposium on Computer and Information Sciences, Guzelyurt, CYPRUS, 14 September 2009 - 16 September 2009, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000275024200067&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2008
    Dr Rohitash Chandra
    Chandra R; Omlin CW, 2008, 'Hybrid evolutionary one-step gradient descent for training recurrent neural networks', in Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, GEM 2008, pp. 305 - 311
    Conference Papers | 2007
    Dr Rohitash Chandra
    Chandra R; Omlin CW, 2007, 'A hybrid recurrent neural networks architecture inspired by hidden Markov models: Training and extraction of deterministic finite automaton', in International Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007, pp. 278 - 285
    Conference Papers | 2007
    Dr Rohitash Chandra
    Chandra R; Omlin CW, 2007, 'The comparison and combination of genetic and gradient descent learning in recurrent neural networks: An application to speech phoneme classification', in International Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007, pp. 286 - 293
    Conference Papers | 2006
    Dr Rohitash Chandra
    Chandra R; Omlin CW, 2006, 'Training and extraction of fuzzy finite state automata in recurrent neural networks', in Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006, pp. 271 - 275
    Conference Papers | 2006
    Dr Rohitash Chandra
    Chandra R; Omlin CW, 2006, 'Evolutionary Training of Hybrid Systems of Recurrent Neural Networks and Hidden Markov Models', in Ardil C (ed.), PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 15, WORLD ACAD SCI, ENG & TECH-WASET, Barcelona, SPAIN, pp. 58 - +, presented at Conference of the World-Academy-of-Science-Engineering-and-Technology, Barcelona, SPAIN, 22 October 2006 - 24 October 2006, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000259633400012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R; Krishna A, COVID-19 sentiment analysis via deep learning during the rise of novel cases, http://dx.doi.org, http://arxiv.org/abs/2104.10662v1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R; Bhagat A; Maharana M; Krivitsky PN, Bayesian graph convolutional neural networks via tempered MCMC, http://dx.doi.org, http://arxiv.org/abs/2104.08438v1
    Working Papers |
    Dr Rohitash Chandra
    Renanse A; Chandra R; Sharma A, Memory Capacity of Neural Turing Machines with Matrix Representation, http://dx.doi.org, http://arxiv.org/abs/2104.07454v1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R; Jain M; Maharana M; Krivitsky PN, Revisiting Bayesian Autoencoders with MCMC, http://dx.doi.org, http://arxiv.org/abs/2104.05915v1
    Working Papers |
    Dr Rohitash Chandra
    Tiwari A; Gupta R; Chandra R, Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown, http://dx.doi.org, http://arxiv.org/abs/2102.10551v1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R; Jain A; Chauhan DS, Deep learning via LSTM models for COVID-19 infection forecasting in India, http://dx.doi.org, http://arxiv.org/abs/2101.11881v1
    Working Papers |
    Dr Rohitash Chandra
    Abel D; Gavidi B; Rollings N; Chandra R, Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji, http://dx.doi.org, http://arxiv.org/abs/1503.00810v1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R, Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks, http://dx.doi.org, http://arxiv.org/abs/1701.04518v1
    Working Papers |
    Dr Rohitash Chandra
    Chandra R, An affective computational model for machine consciousness, http://dx.doi.org, http://arxiv.org/abs/1701.00349v1
    Working Papers |
    Dr Rohitash Chandra
    Reddy E; Kumar S; Rollings N; Chandra R, Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji, http://dx.doi.org, http://arxiv.org/abs/1503.00814v1

Awards

  1. Doctoral Completion Award, Victoria University of Wellington (2012)
  2. Sydney Fellowship Award, University of Sydney (2017-2019)

Grants

  1. S. Vasan and R. Chandra et al. COVID-19 vaccine testing research. NHMRC Medical Research Future Fund  (MRFF) 2021-2022,  led by CSIRO.  
  2. S. Cripps, R. Chandra, et al., ARC training centre in data analytics for resources and environments (ARC ITTC DARE): UNSW Grant number: RG201207, 2020 - 2024. More information: https://darecentre.org.au/
  3. R. Chandra, Sydney Fellowship Awards, DVC Research, University of Sydney,  2017 -2019
  4. D. Muller, R. Chandra,  et al., Understanding the deep carbon cycle from icehouse to greenhouse climates, Sydney Research Excellence Initiative (SREI), DVC Research, University of Sydney, 2017 - 2018

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