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Sahan Bulathwela (IN4MANIAC)

AI Researcher

University College London

Biography

Sahan is affiliated to the UCL Centre for Artificial Intelligence currently contributing to the X5GON project working with Prof. Emine Yilmaz and Prof. John Shawe-Taylor. His research interests lie on the theme: “Improving Recommendations of Educational Contents to Lifelong Learners”. Before joining UCL, he worked in several research roles in the industry in cybersecurity and personalised advertising domains where he gained experience in user state modelling in a big data landscape.

Interests

  • AI in Education
  • Recommendation Systems
  • Bayesian Statistics
  • Artificial Intelligence

Education

  • PhD in Artificial Intelligence, Ongoing

    University College London, UK

  • MSc in Computational Statistics and Machine Learning, 2014

    University College London, UK

  • PGDip in Applied Statistics, 2012

    University of Peradeniya, Sri Lanka

  • BSc (Hons.) in Computing, 2010

    University of Portsmouth, UK

Skills

R

90%

Statistics

100%

Photography

10%

Experience

 
 
 
 
 

Research Assistant

University College London (X5GON Project)

Apr 2018 – Present London

X5GON project (https://www.x5gon.org) envisions to leverage a Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global Open Educational Resource Network for informal learners.

Main responsibilities include: - Conducting deep research and execute well designed experiments leading to inventing novel methods in improving informal learners’ learning trajectories. - Deriving automatic quality assessment models for educational resources - Deriving rich representations of knowledge and its learners - Deriving intelligent models for personalized recommendation of educational materials.

 
 
 
 
 

Senior Teaching Fellow

CambridgeSpark Ltd.

Sep 2016 – Present London/ Cambridge
Course development and review. Teaching and training professionals and university students in knowledge areas related to Machine Learning and Data Science. Courses created and taught: - Database Management Systems and Cloud Computing - Big Data and Distributed Computing - Exploratory Data Analysis and Machine Learning - Neural Networks Employers of past students: - JP Morgan Chase & Co - Morgan Stanley - Cambridge Centre for Alternative Finance - Schlumberger Cambridge Research Centre and etc…
 
 
 
 
 

Data Science Engineer

Skimlinks

Sep 2015 – Mar 2018 London
Main responsibilities included: - Primary focus on New Product and Advanced Development with Research towards building innovative data products for Strategic growth - Mainly responsible for bridging the cutting edge data science and machine learning with HPC and distributed computing - Designing high performance data structures to enable teams to get the most out of TBs of data that pumps in to the systems on daily basis - Designing and Building massively parrallel, high performance data pipelines that utilise state of the art data structures, compression and machine learning algorithms

Accomplish­ments

Departmental Scholarship

University College London, Dept. of Computer Science Apr 2018

API Winner : StoryTunes

TechCrunch Dec 2015
Based on an article URL provided by the user we get the text, title, keywords and entities from the Alchemy API. We use the musiXmatch lyrics dataset of the million song dataset (http://labrosa.ee.columbia.edu/millionsong/challenge) to generate a list of topic cluster of the available songs. Using the Alchemy information we then classify the article to one of this topics and retrieve the nearest songs. In addition we use the article entities to retrieve top songs directly from music APIs. Those combined results are then surfaced on the front end.

CIIP Research Fellowship

Cisco Aug 2013 – Aug 2014
Cisco International Internship Programme (CIIP) is a programme for UCL students to conduct a one year research fellowship with a Research and Advanced Development team at Cisco Systems. One of the three students selected for the fellowship in 2013

UCL Advances Research Fellowship (Awarded Twice)

University College London, Dept. of Computer Science Jan 2013
UCL Advances research fellowship is a scheme for UCL students to conduct bleeding edge research with Startup companies in London.

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