+ Lab trainee
* Joint senior author
^ Joint first author


  1. D. Stoliker+, K. Preller, A. Anticevic, G. Egan, F. Vollenweider*, and A. Razi*, (2022) ‘‘Neural mechanisms of imagery under psilocybin", medRxiv. Link

  2. D. Stoliker+, L. Novelli+, F. Vollenweider, A. Anticevic, G. Egan, K. Preller*, and A. Razi*, (2022) ‘‘Effective connectivity of emotion and cognition under psilocybin", medRxiv. Link

  3. J. Liu, H. Li, T. Huang, E. Ahn, A. Razi, W. Xiang, (2022) ‘‘Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation", arXiv. Link

  4. G.E.C. Thomas, P. Zeidman, T. Sultana, A. Zarkali, A. Razi, R.S. Weil, (2022) ‘‘Changes in both top-down and bottom-up effective connectivity drive visual hallucinations in Parkinson's disease", bioRxiv. Link

  5. L.Q. Uddin, R.F. Betzel, J.R. Cohen, J.S. Damoiseaux, F. De Brigard, S.B. Eickhoff, A. Fornito, C. Gratton, E.M. Gordon, A.R. Laird, L. Larson-Prior, A.R. McIntosh, L.D. Nickerson, L. Pessoa, A.L. Pinho, R.A. Poldrack, A. Razi, S. Sadaghiani, J.M. Shine, A. Yendiki, B.T.T. Yeo, and R. N. Spreng, (2022) ‘‘Controversies and current progress on large-scale brain network nomenclature from OHBM WHATNET: Workgroup for HArmonized Taxonomy of NETworks", Aperture Neuro. Link

  6. A. Paul+, N. Sajid, M. Gopalkrishnan, A. Razi, (2021) ‘‘Active inference for stochastic control", arXiv. Link

Special Issue

  1. A. Razi, Andreea Diaconescu, Pamela K. Douglas, Michael Breakspear, (2022) “Generative modelling of brain dynamics in health and disease”, NeuroImage. Call for Paper. Submission deadline: 30 Sep 2022.

  2. B. Li, A. Razi, K. J. Friston, (2017) “Mapping psychopathology with fMRI and effective connectivity analysis”, Frontiers in Human Neuroscience. Editorial

Journal Papers


  1. B. J. Kagan, A. C. Kitchen, N. T. Tran, B. J. Parker, A. Bhat, B. Rollo, A. Razi, & K. J. Friston, (2022) ‘‘In vitro neurons learn and exhibit sentience when embodied in a simulated game-world", Neuron. In press. Link. Also see the neural cultures playing the game of pong here.

  2. K. Rasheed+, A. Qayyum, M. Ghaly, A. Al-Fuqaha, A. Razi, J. Qadir, (2022) ‘‘Explainable, Trustworthy, and Ethical Machine Learning for Healthcare: A Survey", Computers in Biology and Medicine. In press. Link

  3. D. Stoliker+, L. Novelli, F. X. Vollenweider, G. F. Egan, K. Preller* A. Razi*, (2022) ‘‘Effective connectivity of functionally anticorrelated networks under LSD", Biological Psychiatry. In press. Link

  4. D. Stoliker+, G. F. Egan, K. J. Friston, A. Razi, (2022) ‘‘Neural mechanisms and psychology of psychedelic ego dissolution", Pharmacological Reviews. vol. 74, no.4, pp. 874-915. Link

  5. M. A. Ahsan, A. Qayyum, A. Razi, J. Qadir (2022) ‘‘An active learning method for diabetic retinopathy classification with uncertainty quantification", Medical & Biological Eng & Computing. Link

  6. K. J. Friston, G. Flandin, A. Razi, (2022) ‘‘Dynamic causal modelling of mitigated epidemiological outcomes", Scientific Reports, no. 12, ID: 12419 . Link

  7. L. Novelli+, A. Razi, (2022) ‘‘A mathematical perspective on edge-centric brain functional connectivity", Nature Communications. vol. 13, article no. 2693. Link

  8. K. Voigt, Z. B. Andrews, I. H. Harding, A. Razi, A. Verdejo-Garcia, (2022)‘‘Hypothalamic effective connectivity at rest is associated with body weight and energy homeostasis”, Network Neuroscience. In press. Link

  9. S. Sacu+, C. Wackerhagen, S. Erk, N. Romanczuk-Seiferth, K. Schwarz, J. I. Schweiger, H. Tost, A. Meyer-Lindenberg, A. Heinz, A. Razi*, H. Walter*, (2022) ‘‘Effective connectivity during faces processing in major depression: Distinguishing markers of pathology, risk, and resilience", Psychological Medicine. In press. Link

  10. K. Sabaroedin, A. Razi, S. Chopra, N. Tran, A. Pozaruk, Z. Chen, A. Finlay, B. Nelson, K. Allott, M. Alvarez-Jimenez, J. Graham, L. Baldwin, S. Tahtalian, H. P. Yuen, S. Harrigan, V. Cropley, S. Sharma, B. Saluja, R. Williams, C. Pantelis, S. J Wood, B. O'Donoghue, S. Francey, P. McGorry, K. M Aquino, A. Fornito, (2022),‘‘Effective Connectivity and Dopaminergic Function of Fronto-Striato-Thalamic Circuitry in First-Episode Psychosis, Established Schizophrenia, and Healthy Controls", Brain. In press. Link

  11. D. Stoliker+, G. F. Egan, A. Razi, (2022) ‘‘Reduced precision underwrites ego dissolution and therapeutic outcomes under psychedelics", Frontiers in Neuroscience. vol. 16, no. 827400. Link

  12. A. Jamieson, B. Harrison, A. Razi, C. Davey, (2022) ‘‘Rostral anterior cingulate network effective connectivity in depressed adolescents and associations with treatment response in a randomized controlled trial", Neuropsychopharmacology. vol. 47, no. 6, pp. 1240-1248. Link

  13. A. Nair, A. Razi, S. Gregory, R. R. Rutledge, G. Rees, S. J Tabrizi, (2022)‘‘Imbalanced basal ganglia connectivity is associated with motor deficits and apathy in Huntington’s disease”, Brain.vol. 145, no.3, pp. 991-1000. Link


  1. K. Rasheed+, J. Qadir, T. J. O'Brien, L. Kuhlhmann, A. Razi, (2021) ‘‘A generative model to synthesize EEG data for epileptic seizure prediction", IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 29 ,pp.2322 - 2332. Link

  2. M. Krylova, S. Skouras, A. Razi, A. Nicholson, A. Karner, D. Steyrl, O. Boukrina, G. Rees, F. Scharnowski, Y. Koush, (2021) ‘‘Progressive modulation of resting‐state brain activity during neurofeedback of positive‐social emotion regulation networks", Scientific Reports, vol. 11, article no. 23363. Link.

  3. L. Bian+, T. Cui, B. T. T. Yeo, A. Fornito, A. Razi*, J. Keith*, (2021) ‘‘Identification of community structure-based brain states and transitions using functional MRI", NeuroImage. vol. 244, article no. 118635. Link

  4. K. Voigt, A. Razi, I. H. Harding, Z. B. Andrews, A. Verdejo-Garcia, (2021)‘‘Neural network modelling reveals changes in directional connectivity between cortical and hypothalamic regions in obesity”, International Journal of Obesity. vol. 45, pp. 2447–2454. Link

  5. E. Hidalgo-Lopez, P. Zeidman, T. Harris, A. Razi, B. Pletzer, (2021) ‘‘Spectral dynamic causal modelling in healthy women reveals brain connectivity changes along the menstrual cycle", Communications Biology. vol. 4, article nuo. 954. Link

  6. P. M. Abeyasinghe, J. D. Long, A. Razi, D. Pustina, J. S. Paulsen, S. J. Tabrizi, G. Poudel, N. Georgiou-Karistianis, (2021) ‘‘Tracking Huntington's Disease Progression using motor, functional, cognitive, and imaging markers". Movement Disorders. vol. 36, no. 10, pp. 2282-2292. Link

  7. K. J. Friston, E. D. Fagerholm, T. S. Zarghami, T. Parr, I. Hipolito, L. Magrou, A. Razi, (2021) ‘‘Parcels and particles: Markov blankets in the brain", Network Neuroscience. vol. 5 no. 1, pp. 211–251. Link

  8. S. Bajaj, A. C. Raikes, A. Razi, M. A. Miller, W. D. S. Killgore, (2021) ‘‘Blue-light therapy strengthens resting-state effective connectivity within default-mode network after mild TBI", Journal of Central Neurvous System Disease. Link

  9. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, C. J. Price, R. J. Moran, C. Lambert, (2021) ‘‘Second waves, social distancing, and the spread of COVID-19 across the USA’’, [version 3; peer review: 2 approved]. Wellcome Open Res. 2021, 5:103. Link

  10. K. Rasheed+, A. Qayyum, J. Qadir, S. Sivathamboo, P. Kwan, L. Kuhlmann, T. J. O'Brien, A. Razi, (2021) ‘‘Machine learning for predicting epileptic seizures using EEG signals: A review”, IEEE Reviews in Biomedical Engineering. vol. 14, pp. 139 - 155, 2021. Link


  1. C. Paquola, O. Benkarim, J. DeKraker, S. Lariviere, S. Frassle, J. Royer, S. Tavakol, S. L. Valk, A. Bernasconi, N. Bernasconi, A. Khan, A. C. Evans, A. Razi, J. Smallwood, B. Bernhardt, (2020)‘‘Convergence of cortical types and functional motifs in the mesiotemporal lobe”, eLife, 2020;9:e606739. Link

  2. E. Benhamou+, C. R. Marshall, L. L. Russell, C. J. D. Hardy, R. L. Bond, H. Sivasathiaseelan, C. V. Greaves, K. J. Friston, J. D. Rohrer, J. D. Warren*, A. Razi*, (2020) ‘‘The neurophysiological architecture of semantic dementia: Spectral dynamic causal modelling of a neurodegenerative proteinopathy", Scientific Reports. vol. no. 10, article number: 16321. Link

  3. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, C. J. Price, R. J. Moran, A. Costello, D. Pillay, C. Lambert, (2020) ‘‘Effective immunity and second waves: a dynamic causal modelling study’’, [version 2; peer review: 2 approved]. Wellcome Open Res. 2020, 5:204. Link

  4. S. Latif, M. Usman, S. Manzoor, W. Iqbal, J. Qadir, G Tyson, I. Castro, A. Razi, M. N. K. Boulos, and J. Crowcroft, (2020) ‘‘Leveraging data science to combat COVID-19: A comprehensive review”, IEEE Transactions on Artificial Intelligence. vol. 1, no. 1, pp. 85-103. Link
    Here is the accompanying website which is constantly updated with new datasets and other community resources.

  5. K. J. Friston, T. Parr, P. Zeidman, A. Razi, G. Flandin, J. Daunizeau, O. J. Hulme, A. J. Billig, V. Litvak, R. J. Moran, C. J. Price, C. Lambert, (2020) ‘‘Dynamic causal modelling of COVID-19’’, [version 2; peer review: 2 approved]. Wellcome Open Res. 2020, 5:89. Link
    Here is the accompanying website which hosts open access software code, among other resources.

  6. A. A. Sokolov, P. Zeidman, A. Razi, M. Erb, P. Ryvlin, M. A. Pavlova. and K. J. Friston, (2020) ‘‘Asymmetric high-order anatomical brain connectivity sculpts effective connectivity”, Network Neuroscience. vol. 4, no. 3, pp. 871-890. Link

  7. M. M. Adamson, S. Shakil, T. Sultana, M. A. Hasan, F. Mubarak, S. A. Enam, M. A. Parvaz and A. Razi, (2020) ‘‘Brain Injury and Dementia in Pakistan: Current Perspectives”, Frontiers in Neurology. article 11:299. Link

  8. H. Wei, A. Jafarian, P. Zeidman, V. Litvak, A. Razi, D. Hu*, K. J. Friston*, (2020)‘‘Bayesian fusion and multimodal DCM for EEG and fMRI”, NeuroImage. vol. 211, article no. 116595. Link

  9. D. J. Lurie, D. Kessler, D. S. Bassett, R. F. Betzel, M. Breakspear, S. Keilholz, A. Kucyi, R. Liégeois, M. A. Lindquist, A. R. McIntosh, R. A. Poldrack, J. M. Shine, W. H. Thompson, N. Z. Bielczyk, L. Douw, D. Kraft, R. L. Miller, M. Muthuraman, L. Pasquini, A. Razi, D. Vidaurre, H. Xie, V. D. Calhoun, (2020)‘‘ Questions and controversies in the study of time-varying functional connectivity in resting fMRI”, Network Neuroscience. vol. 4, no. 1, pp. 30-69. Link

  10. G. Castrillon, N. Sollmann, K. Kurcyus, A. Razi, S.M. Krieg, V. Riedl, (2020)‘‘The physiological effects of non-invasive brain stimulation fundamentally differ across the human cortex”, Science Advances. vol. 6, no. 5, eaay2739. Link

  11. H. B. J. Almgren+, F. Van de Steen, A. Razi, K. J. Friston, D. Marinazzo, (2020)‘‘The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI”, NeuroImage. vol. 208, no.116435. Link

  12. E. Palacios+, A. Razi, T. Parr, M. Kirchoff, K. J. Friston, (2020) ‘‘On Markov blankets and hierarchical self-organisation", Journal of Theoretical Biology. vol. 246, article no. 110089. Link


  1. C. Seguin, A. Razi, A. Zalesky, (2019) ‘‘Inferring directionality of neural signalling from undirected structural connectomes”, Nature Communications. vol. 10, article no. 4289. Link

  2. L. Parkes, J. Tiego, K. Aquino, L. Braganza, S. R. Chamberlain, L. Fontenelle, B. J. Harrison, V. Lorenzetti, B. Paton, A. Razi, A. Fornito, M. Yucel, (2019)‘‘ Transdiagnostic variations in impulsivity and compulsivity in obsessive-compulsive disorder and gambling disorder correlate with effective connectivity in cortical-striatal-thalamic-cortical circuits”, NeuroImage, vol. 202, article no. 116070. Link

  3. P. Zeidman, A. Jafarian, N. Corbin, M. L. Seghier, A. Razi, C. J. Price, K. J. Friston, (2019)‘‘A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI”, NeuroImage, vol. 200, pp. 174-190. Link (here is part 2)

  4. K. Preller^, A. Razi^, P. Zeidman, P. Stämpfli, K. J. Friston, F. X. Vollenweider, (2019)‘‘Effective connectivity changes in LSD-induced altered states of consciousness", Proceeding of National Academy of Sciences. vol. 116, no. 7, pp. 2743-2748. Link.
    Media attention: The Age, The Guardian, Inverse, ZME Science, Motherboard, PsyPost

  5. F. Van de Steen, H. B. J. Almgren , A. Razi, K. J. Friston, D. Marinazzo, (2019) ‘‘Dynamic causal modelling of fluctuating connectivity in resting-state EEG”, NeuroImage. vol. 189, pp. 476-484. Link

  6. S. Esménio, J. M. Soares, P. Oliveira-Silva, P. Zeidman, A. Razi, Ó. F. Gonçalves, K. J. Friston, J. Coutinho, (2019) ‘‘Using resting-state DMN effective connectivity to characterize the neurofunctional architecture of empathy”, Scientific Report. vol. 9, article no. 2603. Link

  7. J. Ekanayake, G. Ridgway, J. Winston, E. Feredoes, A. Razi, Y. Koush, F. Scharnowski, N. Weiskopf, G. Rees, (2019) “Volitional modulation of higher order visual cortex alters human perception”, NeuroImage. vol. 188, pp. 291-301, March 2019. Link

  8. K. Friston, K. Preller, C. Mathys, H. Cagnan, J. Heinzle, A. Razi, P. Zeidman (2019) ‘‘Dynamic causal modelling revisited ", NeuroImage, vol. 199 pp. 730-744. Link


  1. H. B. J. Almgren+, F. Van de Steen, S. Kühn, A. Razi, K. J. Friston, D. Marinazzo, (2018) ‘‘Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study”, NeuroImage. vol. 183, pp. 757-768, 2018. Link

  2. S. Tak, J. Noh, C. Cheong, P. Zeidman, A. Razi, W. Penny, K. J. Friston, (2018)‘‘Validation of dynamic causal modelling for 7T fMRI data", Journal of Neurosci Methods. vol. 35, pp. 36-45. Link

  3. S. Gregory, J. Long, S. Kloeppel, A. Razi, Elisa Schiller, Lora Minkova, , E. Johnson, A. Durr, B. Leavitt, R. A.C. Roos, J. Mills, J. C. Stout, R. Scahill, S. J. Tabrizi, G. Rees and the Track-HD Investigators, (2018) ‘‘ Testing a longitudinal compensation model in premanifest Huntington’s disease ", Brain. vol. 141, no. 7, pp. 2156–2166. Link

  4. Y. Zhou, K. J. Friston, P. Zeidman, J. Chen, S. Li, A. Razi, (2018) ‘‘The hierarchical organisation of the default, dorsal attention and salience networks in adolescents and young adults", Cerebral Cortex. vol. 28, no. 2, pp. 726–737. Link

  5. Y. Zhou*, P. Zeidman*, S. Wu, A. Razi, C. Cheng, L. Yang, J. Zou, G. Wang, H. Wang, K. J. Friston, (2018) ‘‘Altered intrinsic and extrinsic connectivity in schizophrenia", NeuroImage: Clinical. vol 17, pp. 704-716. Link

  6. P. McColgan, S. Gregory, K. K. Seunarine, A. Razi, M. Papoutsi, E. Johnson, A. Durr, R. A.C. Roos, B. Leavitt, P. Holmans, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2018)‘‘Brain regions showing white matter loss in Huntington's disease are enriched for synaptic and metabolic genes", Biological Psychiatry. vol. 83, no. 5, pp. 456-465. Link

  7. H.J. Park, K. J. Friston, C. Pae, B. Park, A. Razi, (2018)‘‘Dynamic effective connectivity in resting state fMRI", NeuroImage. vol. 180 (part B), pp. 594-608, 2018. Link. Received an ‘‘Honourable Mention” for the ‘Best Paper of Year Award’ for 2018 from Neuroimage


  1. H. J. Park*, C. Pae*, K. J. Friston, C. Jang, A. Razi, P. Zeidman, W. S. Chang and J. W. Chang, (2017) ‘‘Hierarchical dynamic causal modelling of resting-state fMRI reveals longitudinal changes in effective connectivity in the motor system after thalamotomy for essential tremor" Frontiers in Neurology. vol. 10 (346). doi: 10.3389/fneur.2017.00346. Link

  2. A. Razi, M. L. Seghier, Y. Zhou, P. McColgan, P. Zeidman , H. J. Park, O. Sporns, G. Rees, K. J. Friston, (2017) ‘‘Large-scale DCMs for resting state fMRI", Network Neuroscience. vol. 1, no. 3, pp. 222-241. Link

  3. P. McColgan, K. K. Seunarine, S. Gregory, A. Razi, M. Papoutsi, A. Durr, R. A.C. Roos, J. C. Stout, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) ‘‘Topological length of white matter connections predicts their rate of atrophy in premanifest Huntington’s disease", JCI Insight, vol.2, no. 8, e92641. Link

  4. S. Fraessle*, E. I. Lomakina*, A. Razi, K. Friston, J. M. Buhmann, K. E. Stephan, (2017) ‘‘Regression DCM for fMRI", NeuroImage. vol. 155, pp. 406-421, 2017. Link

  5. S. Gregory*, J. Long*, S. Kloeppel, A. Razi, Elisa Schiller, Lora Minkova, M. Papoutsi, J. Mills, A. Durr, B. Leavitt, R. A.C. Roos, J. C. Stout, R. Scahill, D. Langbehn, S. J. Tabrizi, G. Rees and the Track-HD Investigators, (2017) ‘‘Operationalising compensation over time in neurodegenerative disease", Brain. vol. 140, no. 4, pp.1158-1165. Link

  6. P. McColgan, A. Razi, S. Gregory, K. K. Seunarine, A. Durr, R. A.C. Roos, B. Leavitt, R. Scahill, C. A. Clark, D. Langbehn, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) ‘‘Structural and functional brain network correlates of depressive symptoms in premanifest Huntington’s disease", Human Brain Mapping. vol. 38, no. 6, pp. 2819–2829. Link

  7. P. McColgan, S. Gregory, A. Razi, K. K. Seunarine, G. Fatma , A. Durr, R. A.C. Roos, B. Leavitt, Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2017) “White matter predicts functional connectivity in premanifest Huntington’s disease", Annals of Clinical and Translational Neurology. vol. 4, no. 2. pp. 106–118. Link


  1. A. Razi, and K. J. Friston (2016), “The connected brain: Causality, models and intrinsic dynamics”, IEEE Signal Processing Magazine. vol. 33, no. 3, pp. 14-35. doi: 10.1109/MSP.2015.2482121 Link Invited Feature article in Special Issue on Brain Signal Analytics

  2. R. Tang, A. Razi, K. J. Friston and Y. Tang (2016), ‘Mapping the smoking addiction at rest using effective connectivity analysis", Frontiers in Human Neuroscience. vol. 10, no. 195. doi: 10.3389/fnhum.2016.00195. Link

  3. K. A. Tsvetanov, R. N. A. Henson, L. K. Tyler, A. Razi, L.Geerligs, T. Ham, J. B. Rowe (2016) ‘‘Higher extrinsic and intrinsic brain network connectivity maintains cognition across the lifespan despite age-related decay of regional neuronal activationI", Journal of Neuroscience, vol. 11, no. 36, pp. 3115-3126. doi: 10.1523/jneurosci.2733-15.2016. Link

  4. K. J. Friston, V. Litvak, A. Oswal, A. Razi, K. Stephan, B. Wijk, G. Ziegler, P. Zeidman, (2016) “Bayesian model reduction and empirical Bayes for group (DCM) studies”, NeuroImage, vol. 128, pp. 13-431, March 2016. Link


  1. S. Kloeppel*, S. Gregory*, Elisa Schiller, Lora Minkova, A. Razi, A. Durr, B. Leavitt, R. A.C. Roos,J. C. Stout, R. Scahill, J. Long, D. Langbehn, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2015) “Compensation in preclinical Huntington’s Disease: Evidence from the TrackOn-HD study”, EBioMedicine, vol. 2, no. 10, pp. 1420–1429. Link (Commentary 1, Commentary 2)

  2. P. McColgan*, K. K. Seunarine*, A. Razi, J. H. Cole, S. Gregory, A. Durr, R. A.C. Roos, J. C. Stout, R. Scahill, C. A. Clark, G. Rees and S. J. Tabrizi, and the Track-HD Investigators, (2015) “Selective vulnerability of Rich Club brain regions is an organisational principle of structural connectivity loss in Huntington’s disease”, Brain, vol.138, no.11, pp. 3327-33344. Link

  3. A. Razi, J. Kahan, G. Rees, K. J. Friston (2015) “Construct Validation of a DCM for resting state fMRI”, NeuroImage, Volume 106, pp. 1-14, Feb 2015. Link

  4. M. O. Mughal, A. Razi, J. Kim (2015) “Tight Upper Bounds on Average Detection Probability in Cooperative Relay Networks with Selection Combiner”, Trans. Emerging Tel. Tech.,vol. 26(3), pp. 340-345 Link


  1. K. J. Friston, J. Kahan, A. Razi, K. E. Stephan, O. Sporns (2014)“On nodes and modes in resting state fMRI”, NeuroImage, Volume 99, pp. 533-547. Link

  2. K. J. Friston, J. Kahan, B. Biswal, A. Razi, (2014)“A DCM for resting state fMRI”, NeuroImage, Volume 94, pp. 396-407. Link

  3. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings (2014) “Sum Rates for Regularized Vector Perturbation Multi User MIMO Systems”, Elsevier Physical Communications (PHYCOM), vol. 13, part C, pp. 187-196. Link

2013 and earlier

  1. G. Geraci, M. Egan, J. Yuan, A. Razi, I. B. Collings (2012) “Secrecy Sum-Rates for Multi-User MIMO Reg-ularized Channel Inversion Precoding”, IEEE Trans. Communications, vol.60, no.11, pp.3472-3482. Link

  2. A. Razi, Y. Shao, J. Yuan (2012) “User Scheduling for Multi-antenna Downlink Channels with Limited Feedback”, Trans. Emerging Tel. Tech., 23: 36-49. Link

  3. A. Razi, D. J. Ryan, I. B. Collings, J. Yuan (2010) “Sum Rates, Rate Allocation, and User Scheduling for Multi-user MIMO Vector Perturbation Precoding”, IEEE Trans. Wireless Communications, vol.9, no.1, pp.356-365. Link

  4. H.Q. Huynh, S.I. Husain, J. Yuan, A. Razi, D.S. Taubman (2010) “Performance Analysis of Multi-branch Dual-hop Non-regenerative Relay Systems”, Eurasip Journal on Wireless Communications and Networking, vol. 2010, Article ID 835498. Link

Conference papers (Full length)

  1. A. Paul, N. Sajid, M. Gopalkrishnan, A. Razi, (2021) ‘‘Active Inference for Stochastic Control", in proceeedings of Second International Worksop on Active Inference. In press.

  2. K. Georgiadis, A. L. Young, M. Hutel, C. G. Semedo, A. Razi, J. Schott , S. Ourselin, J. D. Warren, M. Modat, ‘‘Computational modelling of pathogenic protein behaviour-governing mechanisms in the brain”, in proceedings of 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), Granada Spain, Sep 2018. Link

  3. M. O. Mughal, A. Razi, S. S. Alam, L. Marcenaro, C. S. Regazzoni, “Analysis of Energy Detector in Cooperative Relay Networks for Cognitive Radios”, in proceedings of Next Generation Mobile Apps, Services and Technologies (NGMAST), IEEE, 2013. Link

  4. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings, “Sum Rates for Regularized Vector Perturbation Multi-User MIMO Systems”, in proceedings of IEEE ISWCS 2011. Link

  5. Giovanni Geraci, J. Yuan, A. Razi, I. B. Collings, “Secrecy Sum Rates for Regularized Zero-Forcing Multi-User MIMO Systems, in proceedings of IEEE ISWCS 2011. Link

  6. A. Razi, D. J. Ryan, J. Yuan, I. B. Collings, “Performance of Vector Perturbation Multi-User MIMO Systems over Correlated Channels”, in proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Sydney, Australia, April 2010. Link

  7. H.Q. Huynh, S.I. Husain, J. Yuan, A. Razi, D.S. Taubman, “Performance Analysis of Multi-branch Non-regenerative Relay Systems”, in proceedings of IEEE Vehicular Technology Conference (VTC), An-chorage, USA, Sep 2009. Link

  8. A. Razi, D. J. Ryan, I. B. Collings, J. Yuan, “Sum Rates and User Scheduling for Multi-user MIMO Vector Perturbation Precoding”, in proceedings of IEEE Int. Conference on Communications (ICC), Dresden, Germany, June 2009. Link Won Student Travel Grant from IEEE ComSoc

  9. A. Razi, J. Yuan, “Feedback Reduction Schemes for MIMO Broadcast Channels”, in proceedings of IEEE Int. Symp. on Personal Indoor and Mobile Radio Communications (PIMRC), Cannes, France, Sep. 2008. Link Won Student Travel Grant from IEEE ComSoc

  10. U. Waheed, W. Abdullah, A. Razi, “Comparison of Time domain and Frequency Domain Equalizers for Indoor Ultra-Wideband Systems” in the proceedings of IEEE. SIBRICON, Novosibirsk, Russia, July 2008. Link