Research groups participate in CEMSE Big Data Open Day

​The Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division organized the CEMSE Big Data Open Day to highlight important research and discoveries related to Big Data.

​The Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division organized the CEMSE Big Data Open Day on December 4 to highlight important research and discoveries related to Big Data. CBRC participated in the event by exhibiting different aspects of work done by each of the Center's principal investigators.

There were 1,049 registered attendees from the KAUST community, including 290 students from the KAUST School. 

Cure My Disease

The Structural and Functional Bioinformatics Group, led by Professor Xin Gao, wanted to show how proteins and drugs interact to create cures for diseases. With the help of Professor Muhammad Hussain’s lab, 3D-printed models of proteins and drugs were created and attendees were encouraged to match them like puzzle pieces. Images of the interactions were also shown on laptops.

KAUST CEMSE CBRC Researchers Participate In Big Data Open Day

 

Word2Vec

The Knowledge Mining Lab, led by Professor Vladimir Bajic, wanted to explain the concept of text mining, an integral part of their research. They chose to use Word2Vec as an easy way to show how semantic relationships are explored. They created a simple web interface to allow users to input words and see related contextual words in the results box.

KAUST CEMSE CBRC KML Big Data

 

3D Proteins

The Structural Biology and Engineering Group, led by Professor Stefan Arold, showed how 3D virtual reality helps them understand proteins more comprehensively. Attendees had the opportunity to use a virtual reality headset display, developed by the group, to immerse into the three-dimensional protein universe.

KAUST CEMSE CBRC STRUBE Stefan Big Data

 

An Ocean of Seaweeds

The Microbial Technology Group, led by Principal Research Scientist John Archer, presented their research by displaying beakers of microalgae. They explained that their research is to study and engineer versatile and robust microalgae and cyanobacteria for biotechnological applications.

KAUST CEMSE CBRC MTC John Archer Big Data

 

Egg-citing Data Game

The Comparative Genomics and Genetics Lab, led by Professor Takashi Gojobori, focused more on creating a simple game that could teach young children about DNA. Genetic sequences of animals were shortened to 10 letters, printed on strips of paper and placed in plastic eggs. Meanwhile, posters of the animals with their pictures and DNA sequences were displayed around the exhibit area. Attendees were encouraged to match the DNA sequences in the eggs to the posters. While the game was targeted to children, adults also participated readily.

KAUST CEMSE CBRC CGG Egg Citing Data Game Big Data

 

Semantic Haiku

The Bio-Ontology Group, led by Professor Robert Hoehndorf, presented something a little different. Prof. Hoehndorf had designed a bot that creates haikus from scientific databases. The bot, aptly named Semantic Haiku, then posts one haiku on Twitter every 24 hours.  The haikus were printed out and displayed on A4 posters in the exhibit room. Attendees were recorded reading the haikus and the videos were posted on Twitter.

KAUST CEMSE CBRC BORG Semantic Haiku Big Data

 

For more information about other displays and exhibits, click here.