The University of Southampton

Dr Sepi Chakaveh


Director & Co-Founder of the Southampton Data Science Academy &

The Web Science Institute Strategic partnership Manager

Sepi calls herself  an Applied Data Scientist.

As a member of the Web Science Institute (WSI) management team, her role is to facilitate, design and implement core technologies in the Web Science/ Data Science in collaboration with commercial sector & governmental agencies.

With a degree in Electronic Engineering & a PhD in Experimental Astrophysics & Space Sciences, Sepi has been teaching & researching  Digital Media Technology & data convergence for the past 20 years. 

Sepi first introduced and identified the idea  of "Dynamic Data Sets" and how through its "Data Convergence Properties" it should be considered as the main building block of the two current digital themes namely; the “Big Data Visualisation"  & "The Internet of Everything".

Sepi is a Visiting Academic in Applied Data Science at University of Oxford & Associated Researcher/Manager at the German Fraunhofer Society, Europe's largest Applied Research Organisation. She is also a member of the Open Data Institute (ODI).

Sepi is also the Architect of the Anglo-German "SoFWIReD" venture which stands for Southampton Fraunhofer Web & Internet Research& Development (

Together with several UK academic entities, Fraunhofer Society R&D labs  in Germany &  in Singapore as well as a number of UK commercial companies, Sepi has invented the idea for mind to market “ Crowed Based Technology Farms”, to create Bespoke & Turn Key Technology Solutions on an industrial scale.


Research interests

The Role of Dynamic Objects in the security of the Internet of Everything


Southampton Data Science Academy

Mobile BIM



Module Leader MSc./MENG Open Data Innovation


Hakami, Nada, Ali M, White, Susan and Chakaveh, Sepideh (2017) Motivational factors that influence the use of MOOCs: learners’ perspectives a systematic literature review In The 9th International Conference on Computer Supported Education. vol. 2, 331 pp, p. 323. (doi:10.5220/0006259503230331).


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