Domain > olgaloboda.com

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Date	IP Address
2026-01-11	3.5.244.61 (ClassC)
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HTTP/1.1 200 OKx-amz-id-2: Qx6Djb6rDbtgM+X3kiNHyvocvp5YbNORylZFS/hTLUv1DERG+Igj48U4nahrJtAX1StQvbbmwvsx-amz-request-id: B8QVR3R4BX4Z3MGNDate: Sun, 08 Mar 2026 10:24:42 GMTLast-Modified: Sun, 09 Jun 2024 16:09:06 GMTETag: 794d6cfde223ed1da73a90831b6f0838Content-Type: text/htmlContent-Length: 11172Server: AmazonS3

!DOCTYPE html>html langen>head>	meta charsetutf-8>	meta namedescription contentIm a Software Engineer at The LEGO Group. I previously worked at the NHM as a Senior Software Engineer. Im also a UCL alumna and hold a PhD Degree in Information Science (research fields: recommender systems and HCI in museums).>	meta namekeywords contentOlga Loboda, UCL, HCI, UI, UX, recommender systems, museum digital technologies, personalied museum tours>	meta nameauthor contentOlga Loboda>	meta nameviewport contentwidthdevice-width, initial-scale1, shrink-to-fitno>	link relstylesheet hrefhttps://use.fontawesome.com/releases/v5.5.0/css/all.css integritysha384-B4dIYHKNBt8Bc12p+WXckhzcICo0wtJAoU8YZTY5qE0Id1GSseTk6S+L3BlXeVIU crossoriginanonymous>	link hrefhttps://fonts.googleapis.com/css?familyLato|Montserrat:400,600,900|Roboto+Mono&displayswap relstylesheet>	link relstylesheet hrefcss/styles.css?v1.6 />	link hrefhttps://unpkg.com/aos@2.3.1/dist/aos.css relstylesheet>	title>Olga Loboda/title>/head>body>	header>	    a href#home-page idskip-to-content>Skip to main content/a>		nav classheader-nav>			a href/ idlogo target_self>Olga Loboda/a>			ul>				li classheader-nav-item>					a href#projects>Projects/a>				/li>				li classheader-nav-item>					a href#research>Research/a>				/li>			/ul>		/nav>	/header>	main idhome-page>		section classintro>			h1>Hello, Im Olga. Im a Software Engineer./h1>			h2>I hold a PhD degree in Information Science (Recommender Systems).br/>			And I often experiment with museum collections using machine learning algorithms./h2>		/section>		section classprojects idprojects>			h3>My recent projects/h3>			div classproject>				div classproject-thumbnail>					video controls>						source srcimages/SimsPrototype.mp4 posterimages/SimsMuseumPrototype.png typevideo/mp4>					/video>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>SimsMuseum prototype/h3>						span classyear>2023/span>						p>A prototype of an app to let users create their own digital museums with 3D objects./p>						p classstack>strong>Stack:/strong> Unity, C#/p>					/div>				/div>			/div>			div classproject>				div classproject-thumbnail>					a hrefhttps://regrant.herokuapp.com>img srcimages/PortfolioreGrant.png altreGrant />/a>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>reGrant/h3>						span classyear>2022/span>						a hrefhttps://regrant.herokuapp.com classproject-link>regrant.herokuapp.com/a>						p>A Web-based recommender system that generates personalised museum tours for the UCL Grant Museum of Zoology and Comparative Anatomy, London, UK./p>						p>After the visit, the app processes interaction logs and generates a visit summary report with details about users museum object preferences, and what they might like to see next time they come to the Grant Museum./p>						p classstack>strong>Stack:/strong> Python Flask, Angular 8, MongoDB, mLab, d3.js/p>					/div>					div classproject-footer>						a hrefhttps://regrant.herokuapp.com aria-labelgo to reGrant project target_blank>see project/a>					/div>				/div>			/div>			div classproject>				div classproject-thumbnail>					video controls preloadnone poster/images/ObjectDetectorThumbnail.png>						source srcimages/ObjectDetector.mp4 typevideo/mp4>					/video>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>NHM object recognition app/h3>						span classyear>2021/span>						p>An app to detect museum objects in real time./p>						p>This prototype is aimed to help museum visitors understand what they are looking at without asking curators for assistance and without looking for object labels in a physical museum./p>						p>a hrefhttps://teachablemachine.withgoogle.com/>Teachable machine/a> was used to train the custom model with some objects from the Natural History Museum collection available on a hrefhttps://sketchfab.com/NHM_Imaging>Sketchfab/a>./p>						p classstack>strong>Stack:/strong> Flutter / Dart, Tensorflow Lite/p>					/div>				/div>			/div>			div classproject>				div classproject-thumbnail>					video controls>						source srcimages/CYHMN.mp4 typevideo/mp4>					/video>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>Image processor/h3>						span classyear>2020/span>						a hrefhttps://editor.p5js.org/olgaloboda/sketches/N0XfdbHYd classproject-link>editor.p5js.org/olgaloboda/sketches/N0XfdbHYd/a>						p>An experiment to study colour and sound composition of paintings./p>						p>Using image processing, this app generates a linear colour gradient from the pixels of a selected painting, and then composes an audio file with the sounds that correspond to the pixel colour values./p>						p classstack>strong>Stack:/strong> JavaScript, p5.js/p>					/div>					div classproject-footer>						a hrefhttps://editor.p5js.org/olgaloboda/sketches/N0XfdbHYd target_blank aria-labelgo to the project called Can you hear me now>see project/a>					/div>				/div>			/div>			div classproject>				div classproject-thumbnail>					a hrefhttps://editor.p5js.org/olgaloboda/sketches/9uVQwJ11s>img srcimages/PoseNet1.gif altPoseNet />/a>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>PoseNet-based sculpture finder/h3>						span classyear>2020/span>						a hrefhttps://editor.p5js.org/olgaloboda/sketches/9uVQwJ11s classproject-link>editor.p5js.org/olgaloboda/sketches/9uVQwJ11s/a>						p>An experiment with a real-time pose estimation to find sculptures similar to your pose./p>						p>Please note that you have to enable a Webcam and WebGL in your browser to test this project./p>						p classstack>strong>Stack:/strong> PoseNet / Tensorflow.js, JavaScript, ml5.js, p5.js/p>					/div>					div classproject-footer>						a hrefhttps://editor.p5js.org/olgaloboda/sketches/9uVQwJ11s  aria-labelgo to sculpture finder target_blank>see project/a>					/div>				/div>			/div>			div classproject>				div classproject-thumbnail>					video controls preloadnone poster/images/WeatherAppThumbnail.png>						source srcimages/WeatherApp.mp4 typevideo/mp4>					/video>				/div>				div classproject-description data-aosfade-up>					div classdescription>						h3>Clone of Apples Weather app/h3>						span classyear>2019/span>						p>Similar to the original app, this clone shows the weather in a selected location. The users can add/delete locations from the list and convert temperatures in Celsius to Fahrenheit (and back)./p>						p>The project uses the following APIs: MetaWeather API for the weather forecast and icons, and Google Places API for the instant search by location feature./p>						p classstack>strong>Stack:/strong> Flutter / Dart/p>					/div>				/div>			/div>		/section>		section classresearch idresearch data-aosfade-up>			h3>My research/h3>			ol>				li>Loboda, O. (2022). Transforming visitor experience with museum technologies: The development and impact evaluation of a recommender system in a physical museum (Doctoral dissertation, University College London). London, UK. Available at: a hrefhttps://www.researchgate.net/publication/359472470_Transforming_visitor_experience_with_museum_technologies_The_development_and_impact_evaluation_of_a_recommender_system_in_a_physical_museum>https://www.researchgate.net/publication/359472470_Transforming_visitor_experience_with_museum_technologies_The_development_and_impact_evaluation_of_a_recommender_system_in_a_physical_museum/a>/li>				li>Loboda, O., Nyhan, J., Mahony, S., Romano, D. M. and Terras, M. (2019). Content-based Recommender Systems for Heritage: developing a personalised museum tour, in Proceedings of 1st International Alan Turing Conference on Decision Support and Recommender Systems (DSRS-Turing 2019). London, UK. Available at: a hrefhttps://www.researchgate.net/publication/337428660_Content-based_Recommender_Systems_for_Heritage_Developing_a_Personalised_Museum_Tour>https://www.researchgate.net/publication/337428660_Content-based_Recommender_Systems_for_Heritage_Developing_a_Personalised_Museum_Tour/a>/li>li>Loboda, O., Nyhan, J., Mahony, S. and Romano, D. M. (2018). Towards Evaluating the Impact of Recommender Systems on Visitor Experience in Physical Museums, in Proceedings of the Mobile Human-Computer Interaction Conference (Mobile Cultural Heritage Workshop). Barcelona, Spain. Available at: a hrefhttps://www.researchgate.net/publication/327319485_Towards_Evaluating_the_Impact_of_Recommender_Systems_on_Visitor_Experience_in_Physical_Museums>https://www.researchgate.net/publication/327319485_Towards_Evaluating_the_Impact_of_Recommender_Systems_on_Visitor_Experience_in_Physical_Museums/a>/li>			li>Kontiza K., Loboda, O., Deladienne, L., Castagnos, S. and Naudet, Y. (2018). A Museum App to Trigger Users Reflection, in Proceedings of the Mobile Human-Computer Interaction Conference (Mobile Cultural Heritage Workshop). Barcelona, Spain./li>			/ol>			h4>Peer reviewed papers for:/h4>			ol>				li>a hrefhttps://www.journals.elsevier.com/international-journal-of-human-computer-studies>International Journal of Human-Computer Studies/a>/li>				li>a hrefhttp://acii-conf.org/2019/>8th International Conference on Affective Computing & Intelligent Interaction (ACII) 2019/a>/li>				li>a hrefhttps://chi2020.acm.org/>ACM CHI Conference on Human Factors in Computing Systems 2020/a>/li>				li>a hrefhttp://icmi.acm.org/2020/>22nd ACM International Conference on Multimodal Interaction/a>/li>			/ol>		/section>	/main>	footer>	    div classsocial>		    a hrefhttps://www.researchgate.net/profile/Olga_Loboda>i classfab fa-researchgate>/i>/a>		    a hrefhttps://github.com/olgaloboda>i classfab fa-github>/i>/a>		    a hrefhttps://codepen.io/olgaloboda/>i classfab fa-codepen>/i>/a>		    a hrefhttps://editor.p5js.org/olgaloboda/sketches>i classfas fa-asterisk>/i>/a>		    a hrefhttps://www.linkedin.com/in/olga-loboda/>i classfab fa-linkedin-in>/i>/a>		    a hrefhttps://twitter.com/_olgaloboda>i classfab fa-twitter>/i>/a>		/div>		p>Copyright © 2019-2024 Olga Loboda/p>	/footer>	script srcjs/jquery-3.5.1.min.js>/script>	script srcjs/main.js>/script>	script srchttps://unpkg.com/aos@2.3.1/dist/aos.js>/script>	script>	    AOS.init({  duration: 1000,});	  /script>/body>/html>

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