Difference between revisions of "CV:General"
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− | Development of control hardware and an analytics platform for GPS-and-sensor-equipped agricultural vehicles | + | Development of control hardware and an analytics platform for GPS-and-sensor-equipped agricultural vehicles, for deployment in remote locations with unreliable internet access. Part of a government initiative to improve accountability and yield through technology and data. Working with a team of electrical and mechanical engineers, we developed a tractor system and a drill-like assembly for making certain rocky terrain feasible for agriculture. I am responsible for building and programming distributed embedded control systems for pilot input, hydraulics, engine, and power, as well as the Python backend and UI. |
+ | {{CVMinor|Keywords: CAN bus, RS-232, embedded systems, distributed systems}} | ||
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Feasibility study on sentiment analysis of images in social media, funded by a research grant from [https://www.gov.uk/government/organisations/innovate-uk the UK government's technology strategy board]. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, that has since evolved to be based on convolutional neural nets. | Feasibility study on sentiment analysis of images in social media, funded by a research grant from [https://www.gov.uk/government/organisations/innovate-uk the UK government's technology strategy board]. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, that has since evolved to be based on convolutional neural nets. | ||
+ | {{CVMinor|Keywords: Supervised learning, imaging}} | ||
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Research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers [https://www.microsoft.com/en-us/research/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://www.radlinski.org/ Filip Radlinski]. | Research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers [https://www.microsoft.com/en-us/research/people/pkohli/ Pushmeet Kohli], [http://research.microsoft.com/en-us/people/yobach/ Yoram Bachrach], [http://www.ulrichpaquet.com/ Ulrich Paquet], and [http://www.radlinski.org/ Filip Radlinski]. | ||
− | I worked on Project SmartFence - an application for web access control. Users block or allow | + | I worked on Project SmartFence - an application for web access control. Users simply block or allow a few sites they know about, and SmartFence infers the suitability of the rest of the web for them. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering). I delivered a prototype for the OneWeek company-wide hackathon, and a patent was applied for. |
+ | {{CVMinor|Keywords: Unsupervised learning, information retrieval}} | ||
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Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades. | Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades. | ||
+ | {{CVMinor|Keywords: Web development, agile}} | ||
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− | *I studied principles of anatomy, physiology, etc. | + | *I studied principles of anatomy, physiology, etc. Withdrew in second year to transition to computer science |
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*Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design | *Outstanding Student of the Year 2008 - Double award (Chemistry, Music) {{!}} Most imaginative hovercraft design | ||
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{{CVInlineBlock|Mandarin}} | {{CVInlineBlock|Mandarin}} | ||
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{{CVInlineBlock|Japanese}} | {{CVInlineBlock|Japanese}} | ||
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{{CVInlineBlock|Piano}} | {{CVInlineBlock|Piano}} | ||
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{{CVFooter|{{fullurl:File:CV}}}} | {{CVFooter|{{fullurl:File:CV}}}} | ||
<noinclude>[[Category:CV]]</noinclude> | <noinclude>[[Category:CV]]</noinclude> |
Revision as of 16:09, 12 January 2019
Li Quan Khoo | li.khoo.11@ucl.ac.uk | changtau2005@gmail.com |
http://lqkhoo.com/wiki | https://github.com/lqkhoo | |
http://www.linkedin.com/pub/li-quan-khoo/89/a27/8aa |
Research Software Development Engineer - Ocean 5 Technologies | 2017 - present
|
Development of control hardware and an analytics platform for GPS-and-sensor-equipped agricultural vehicles, for deployment in remote locations with unreliable internet access. Part of a government initiative to improve accountability and yield through technology and data. Working with a team of electrical and mechanical engineers, we developed a tractor system and a drill-like assembly for making certain rocky terrain feasible for agriculture. I am responsible for building and programming distributed embedded control systems for pilot input, hydraulics, engine, and power, as well as the Python backend and UI.
R&D Scientist - Digital:MR | 2015
|
Feasibility study on sentiment analysis of images in social media, funded by a research grant from the UK government's technology strategy board. Starting from the Yfcc100m and YLI datasets comprised of 100 million images, labels, and metadata, I investigated both novel and existing methods and developed a commercial product, that has since evolved to be based on convolutional neural nets.
Research Intern - Microsoft Research Cambridge | 2014
|
Research internship through the Bright Minds Intern Competition programme in the Machine Learning and Perception research group, working with Principal / Senior Researchers Pushmeet Kohli, Yoram Bachrach, Ulrich Paquet, and Filip Radlinski.
I worked on Project SmartFence - an application for web access control. Users simply block or allow a few sites they know about, and SmartFence infers the suitability of the rest of the web for them. We developed several different cluster/kernel-based models and visualization schemes. The final model generates a high dimensional embedding of websites from search sessions (think associated filtering). I delivered a prototype for the OneWeek company-wide hackathon, and a patent was applied for.
Founding Developer - www.unientry.org | 2013
|
Internship with UniEntry to develop a pilot site to help sixth form students find the right university. Developed a platform that filters information from the UK's Higher Education Statistics Agency and gives recommendations based on students' registered information and grades.
Stanford University (Center for Professional Development) - Graduate Certificate in AI | 2017 - present
|
- CS231n Convolutional Neural Networks for Visual Recognition (Spring 2017) - Capstone: Bounding out-of-sample objects
- CS234 Reinforcement Learning (Winter 2019) - ongoing
University College London - MEng Computer Science, First Class Honours | 2011 - 2015
|
- Final year research project - Predicting Personality from Twitter
- Information Retrieval and Data Mining Prize (research and poster session)
- Best Undergraduate Research Group Project of the Year - Task Identification Using Search Engine Query Logs
- Developed a platform-agnostic home automation system for remote surveillance, command and control
- Developed an Android app for the Restless Beings charity to conduct field studies on children in poorly-developed countries
Imperial College London - School of Medicine - MBBS Medicine | 2009 - 2011
|
- I studied principles of anatomy, physiology, etc. Withdrew in second year to transition to computer science
Concord College, Shrewsbury - GCE A levels (Pre-A*) - AAAAab | 2008 - 2009
|
- Outstanding Student of the Year 2008 - Double award (Chemistry, Music) | Most imaginative hovercraft design
Academic interests |
I am interested in all forms of data-driven decision-making, especially when there is a direct impact on quality of life or productivity, e.g. imaging and natural language systems, assistive technologies, robotics, or medical applications. I value simplicity, clarity, and the ability to adapt and learn, in both systems and people.
Spoken languages and personal interests |