Update cv.md

Author: amirdehsarvi

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@@ -27,10 +27,10 @@ Using a proven white-box machine learning approach developed previously, in this
 * 2020-2024: EMS Technical and Data Coordinator for two different research studies in Ruijin (China).
 * 2020-2024: EMS Technical and Data Coordinator for <a href="https://cctu.org.uk/portfolio/core/trials-in-setup/aza-pd">AZA-PD</a> research study, a randomised, double blind, placebo controlled, Phase II trial on Azathioprine immunosuppression and disease modification in Parkinson’s disease.
 * 2020-2021: Research Fellow, Aberdeen Biomedical Imaging Centre within the Institute of Medical Sciences, at the School of Medicine, Medical Sciences and Nutrition at the University of Aberdeen (UK)
-Supervised by <a href="https://www.abdn.ac.uk/ims/people/profiles/g.waiter">Dr Gordon Waiter</a>, in collaboration with <a href="https://www.gla.ac.uk/researchinstitutes/iii/staff/neilbasu/">Prof Neil Basu</a>. In this research project, I worked with a multidisciplinary team of clinicians and scientists on unravelling the mechanisms of chronic fatigue, a salient issue across the chronic disease spectrum in the multicentre large project of The <a href="https://clinicaltrials.gov/ct2/show/NCT03248518">Lessening the Impact of Fatigue Trial (LIFT)</a>. Specifically, I focused on the analysis and understanding of a multimodal MRI/fMRI brain study, using machine learning techniques (including and not limited to Evolutionary Algorithms), in order to identify potential central neurobiological correlates of rheumatoid arthritis related fatigue and to then characterise the most plausible mediators of fatigue which may be feasibly targeted in the future.
+Supervised by <a href="https://www.abdn.ac.uk/ims/people/profiles/g.waiter">Dr. Gordon Waiter</a>, in collaboration with <a href="https://www.gla.ac.uk/researchinstitutes/iii/staff/neilbasu/">Professor Neil Basu</a>. In this research project, I worked with a multidisciplinary team of clinicians and scientists on unravelling the mechanisms of chronic fatigue, a salient issue across the chronic disease spectrum in the multicentre large project of The <a href="https://clinicaltrials.gov/ct2/show/NCT03248518">Lessening the Impact of Fatigue Trial (LIFT)</a>. Specifically, I focused on the analysis and understanding of a multimodal MRI/fMRI brain study, using machine learning techniques (including and not limited to Evolutionary Algorithms), in order to identify potential central neurobiological correlates of rheumatoid arthritis related fatigue and to then characterise the most plausible mediators of fatigue which may be feasibly targeted in the future.
 * 2017-2020: EMS Technical and Data Coordinator for <a href="https://penctu.psmd.plymouth.ac.uk/pdstat/">PD-STAT</a> research study, Simvastatin as a Neuroprotective Treatment for Parkinson’s disease, a trial of 235 participants from 23 participating NHS hospitals across the UK.
 * 2019: Post-Doctoral Researcher in Neuroimaging, The Neural Engineering Group within the Trinity Centre for Bioengineering and the Trinity College Institute of Neuroscience at the University of Dublin (Ireland)
-Supervised by <a href="https://reillylab.net/celinedelooze">Dr Céline de Looze</a> and <a href="https://reillylab.net/richard-reilly">Professor Richard Reilly</a>. In this research project, we investigated the impact cognitive impairment may have on a person’s ability to communicate and how, in turn, such cognitive and speech difficulties may affect the quality of their day-to-day interactions. This research identified speech markers and their underlying neural correlates (brain structure and functional connectivity) for the detection of cognitive impairment in MCI and AD. It also established efficient communications strategies between a person with MCI or AD and their caregivers in order to enhance the quality of their day-to-day interactions.
+Supervised by <a href="https://reillylab.net/celinedelooze">Dr. Céline de Looze</a> and <a href="https://reillylab.net/richard-reilly">Professor Richard Reilly</a>. In this research project, we investigated the impact cognitive impairment may have on a person’s ability to communicate and how, in turn, such cognitive and speech difficulties may affect the quality of their day-to-day interactions. This research identified speech markers and their underlying neural correlates (brain structure and functional connectivity) for the detection of cognitive impairment in MCI and AD. It also established efficient communications strategies between a person with MCI or AD and their caregivers in order to enhance the quality of their day-to-day interactions.
 
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