Brian Y. Lim

Time 2020-10-17 19:04:25

Web Name: Brian Y. Lim

WebSite: http://www.brianlim.net

ID:85349

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Brian,Lim,

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HiringOctober 31st, 2016 0I am actively looking for highly motivated and talented PhD students, masters students, undergraduate interns, post-doctoral research fellows, research engineers, and visiting scholars to work in the areas of human-computer interaction, ubiquitous / pervasive computing, internet-of-things, sensors, data analytics and data visualization. If you are interested in working with me, please email me with your CV and transcript!If you are interested in working with me as a postdoctoral fellow, we have open positions in the areas of urban data analytics and visualization, and healthcare sensing and persuasive interfaces. We are seeking outstanding candidates holding (or soon to be holding) a PhD in Human-Computer Interaction, Computer Science, Electrical Engineering, or related field. Please enquire and send your CV, cover letter and a brief statement of research interests.If you are a prospective PhD student, please check out details of the NUS Computer Science PhD programme and apply online. Please see the hiring page for some specific projects. TasteHealthyMarch 1st, 2016 0Love tasty food? So do many young adults.Concerned about your health? So are we.Difficult to find tasty healthy food? Not anymore!I am developing TasteHealthy, a mobile app for easy logging and recommendation of tasty and healthy food. [email protected] 2015: BrioJuly 31st, 2015 0I led a great team to win 2nd Runner-Up for the Open Category out of 100+ teams in the largest hackathon in Singapore – [email protected] 2015 – with 1100 participants during the 25-26 July weekend. Idea: A one-click health screening mobile web app for at-risk loved ones. Individuals can book appointments for their loved ones to attend screenings (e.g., breast cancer screening)Awards Presentations2015 [email protected] 2nd Runner-up Narrative Visualization: Food Loves FellowshipOctober 31st, 2014 0Live Demo (circa May 2016)I led an amazing team of diverse professionals (HCI, UX Designer, Software Engineer, Data Scientist) to create an award-winning data visualization to celebrate Singapore s love of food.Live demo (may be slow on first load).This interactive 3D Map Visualisation celebrates Singapore’s favourite pastime: eating! It illustrates the diversity of local cuisines in various areas around the country. With this interactive visualisation, you can discover where to find your favourite dishes and the best places to enjoy them together. This tongue-in-cheek visualisation also calculates how long it will take for you to eat all the yummy hawker food in Singapore! In fact, it estimates a good 160 years to sample everything, based on the reported average frequency of eating at hawker centres. Want to enjoy all of this food more quickly? Learn how though interacting with this visual celebration of SG food!Food Loves Fellowship is an example of the Narrative Visualization Toolkit research done at the Urban Systems Lab at I2R. As more data is being used and released, many insights can be discovered through the use of sophisticated data analytics driven by machine learning algorithms. However, these insights need to be communicated to decision makers, consumers, and urban citizens through engaging narratives. Our research toolkit will make it easy to use state-of-the-art big data visualizations to tell these stories to engage, edify, enlighten and educate users.Awards PresentationsIDA Data-in-the-City Visualization Challenge 2014: 3rd Place Read the rest of this entry FRESH Research PlatformJune 30th, 2014 0Home energy management systems (HEMS) can reduce energy consumption while maintaining comfort. However, HEMS suffer from slow adoption and unproven energy savings. As intelligent automation and persuasive design features are increasingly added to HEM products, many research questions remain regarding their efficacy. We present the FRESH research platform to facilitate(i) the development of innovative features in HEM applications, and(ii) their evaluation in field deployments. FRESH has extensible modules for(a) sensing to acquire data from wireless hardware sensor nodes and online sources, and actuation to control custom devices and commercial-off-the-shelf appliances,(b) adaptive and intelligent modeling to test various machine learning and control algorithms,(c) flexible user interface to explore the design of features based on behavioral research, and(d) field experimentation with tools for user interaction logging, automatic context-aware surveys and messaging, and data visualization. We have deployed FRESH in residential apartments and commercial offices used as test beds. We demonstrate the versatility of FRESH with four application use cases: environmental monitoring, non-intrusive load monitoring (NILM), an elevator energy display, and a smart thermostat. We have used FRESH to iterate on sensor nodes, develop and evaluate intelligent algorithms and models, and design mobile and web user interfaces to investigate HEM usability. Publications PresentationsLim, B. Y.,Roth, K., Nambiar, S., Rayakota, H.2014.Rapid Prototyping of Energy Management Applications with FRESH.In ACEEE Summer Study 2014. Lim, B. Y.,Roth, K., Nambiar, S., Rayakota, H.2013.FRESH: The Fraunhofer Experimental Smart Home Research Platform for Home Energy Management Applications.In MIT Energy Night 2013.

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