245, Coordinated Science Laboratory,
Urbana, IL, USA.
I am Yogatheesan (Yoga) Varatharajah, a PhD candidate in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. I have previously obtained my master's degree from the same university and bachelor's degree in Electronic and Telecommunication Engineering at the University of Moratuwa in Sri Lanka. I am currently in my 2nd year of the PhD program and I am advised by Prof. Ravishankar Iyer. Currently I am a PhD intern at Google.
My interests span probabilistic modeling approaches for addressing challenges associated with complex, real-world, dynamical systems. In that context, my PhD research focuses on developing probabilistic models and artificial intelligence techniques to address complex clinical challenges, related to the most complex biological system, brain. I have extensive expertise in statistical signal processing techniques and machine learning methods, both in their fundamentals and practical application. I leverage my expertise in both of these areas and clinical domain knowledge to develop unique analytic frameworks that provide actionable intelligence and biological insights. I am thankful to a number of neurologists and neuroscientists at the Mayo Clinic, with whom I collaborate extensively in order to gain domain expertise related to the clinical challenges I work on. My PhD research is being generously supported by the Mayo Clinic-Illinois Alliance Fellowship for Technology based Healthcare Research.
Receiving best student paper finalist award from Dr. Nigel Lovell of the IEEE.
Received the Rambus computer engineering fellowship certificate from dept. head Prof. William Sanders at the annual ECE award ceremony.
- May 2018 - Started my summer internship at Google Research!
- Apr 2018 - My work appeared in CSL spring 2018 newsletter
- Mar 2018 - Received the RAMBUS COMPUTER ENGINEERING FELLOWSHIP for 2018-2019!
- Jan-Mar 2018 - My work was featured in UIUC and CSL news, Daily Illini, Post Bulletin.
- Dec 2017 - Presented my work at the 31st annual NIPS conference in Long Beach, LA.
- Nov 2017 - Presented my poster at the American Epilepsy Society annual meeting in Washington DC.
- Oct 2017 - Gave a talk at the first Feedback Friday meeting of Fall 2017, CSL, UIUC.
- Sep 2017 - Spotlight talk at the ACNN Bigdata Neuroscience Workshop, Indiana University.
- Sep 2017 - My paper titled 'EEG-GRAPH: A Factor Graph Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms' gets accepted at 31st Annual NIPS conference.
- Jul 2017, My poster titled 'Unsupervised Analysis of Transcriptomic Data for Demystifying the Cause of Alzheimer's Disease' was featured at the Alzheimer's Association International Conference in London, UK.
- May 2017 - My paper titled 'Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. ' was selected as one of the best six student authored papers at the 8th International IEEE/EMBS Conference on Neural Engineering. (link)
- Feb 2017 - I was selected as an excellent graduate teaching assistant for ECE 313 (link)
- Aug 2016 - Received the inaugural Mayo Clinic-Illinois Alliance Fellowship for Technology based Healthcare Research.
- May 2016 - Passed my PhD qualifying examination!