Tag Archives: big data

MoI Representatives from Nvidia and UNNC

UNNC & NVIDIA establish joint-lab on mixed reality (Visualisation and AI)

A Memorandum of Intent between UNNC and US technology giant NVIDIA to establish a Joint-Lab was signed at a ceremony on campus on 27th June.

The MoI and the Joint-Lab, led by Dr Eugene Ch’ng, Associate Professor in Computer Science, is the culmination of collaborative research at UNNC School of Computer Science’s Big Data and Visual Analytics lab. Together with Simon See, Chief Technology Officer of NVIDIA APAC, Dr. Ch’ng’s work has produced a number of important publications and research ideas.
Professor Chris Rudd, Provost of UNNC and Ashok Pandey, Vice-President of NVIDIA and GM of Professional Solution Group & Cloud Computing signed the agreement.
Those representing UNNC at the signing were Uwe Aickelin (Vice Provost forTeaching and Learning), Michael George (Vice Provost for Research and Knowledge Exchange), Edward Wu (Director of Campus Services) and Harry Hua (Director of IT).

Eugene addressing the MoI

Eugene addressing the MoI

NVIDIA was represented by Simon See (Chief Technology Officer of NVIDIA APAC ),Sengmeng Koo (Programme Manager for NTC Singapore), David Yuan (Higher
Education & Research Industry Business Development Director NVIDIA China) and Rita Zhang (Solution Architect & Deep Learning Community Manager, NVIDIA China).

James Lin, Vice President of Shanghai Jiao Tong University’s HPC Centre – who delivered a speech and a lecture at the event – will be the Joint-Lab’s supporting partner in the MoI.

The agreement will provide a number of direct boosts to various research projects at the University. One such project is the €2.5m ERC “Lost Frontiers” Advanced Research Grant, which will use NVIDIA GPU-acceleration for DNA sequencing, complex systems simulation and visualization for reconstructing the land bridge that connected Britain and Europe some 12,000 years ago.

MoI Representatives from Nvidia and UNNC

MoI Representatives from Nvidia and UNNC

Other projects to benefit include crowdsourcing reconstructions of heritage sites and monuments, using big data to understand social networks, and deep learning for real-world applications.

The UNNC-NVIDIA agreement also has numerous benefits for research, knowledge exchange and industrialisation at the University, including talent cultivation and training in Big Data, Machine Learning, Visualisation and VR. One such beneficiary is International Doctoral Innovation Centre PhD student Mengdi Li, who recently started an internship at NVIDIA. Another group of five computer science students are presently taking mentorships in Deep Learning techniques.

UNNC Provost, Prof. Chris Rudd said of the agreement: “The NVIDIA partnership exemplifies how UNNC can exploit industry links not only to solve real-world problems but also to provide a first class training environment for our students. Partnerships like this depend upon people and I am proud that we have such talented and committed researchers who recognise the value of these win-win partnerships and are prepared to put in the hard work and team building that will deliver long term success.”

Simon See, Chief Technology Officer of NVIDIA APAC  said: “Mixed reality and artificial intelligence are starting an upsurge around the world. NVIDIA’s advanced GPU technology and integral software platforms have promoted a great number of innovative technologies and applications in multiple industrial and commercial fields. NVIDIA and UNNC enjoy a shared vision in these areas.”

Dr Eugene Ch’ng, director of the NVIDIA joint-lab on Mixed Reality, sees bright prospects for UNNC research and student cultivation: “NVIDIA’s global lead in GPU-accelerated computing and visualisation will ensure that all our projects are powered by advanced technology for the best research output. With Simon See to co-direct the lab, the bright future for Big Data, AI and mixed reality research is assured”.

Since 1993, NVIDIA has pioneered the art and science of visual computing. With its singular focus, the company offers specialised platforms for the gaming, automotive, data centre and professional visualisation markets. Its products, services and software power new experiences in virtual reality, artificial intelligence and autonomous cars.

Centre Website: NVIDIA Joint-Lab on Mixed Reality (Visualisation and AI)

Original Post: http://www.nottingham.edu.cn/en/news/2016/unnc-nvidia-establish-joint-lab-on-mixed-reality-visualisation-and-ai.aspx

Social Information Landscapes of the Boston Bombing Fans

Fans of Boston Bombing Terrorist Tracked Online Via Big Data Research

The interest of this research lies in the controversial online teen #FreeJahar movement calling for the freedom of the Boston bombing suspect Dzhokhar Tsarnaev because teenage girls believe he is “too beautiful to be a terrorist” (Nelson, 2013). Concerns were raised that in on-line forums the younger Boston Bombing suspect appeared to attract a cult teen following expressing affection and concern for him (DailyMail, 2013). Facebook, Tumblr tribute accounts were set up in support of the teen with the #FreeJahar Twitter tag, which were trending when these activities first appeared. Teen activities in Twitter do need to be monitored (Wiederhold, 2012) as observed below:

  • “I can’t be the only one who finds the suspected bomber to be sexy, can I?” 19 April 2013.
  • “i don’t even care if jahar is a terrorist he’s cute i don’t want him to die.” @******, 20 April 2013.
  • “I’m not gonna lie, the second bombing suspect, Dzhokhar Tsarnaev, is hot. #sorrynotsorry” @******, 20 April 2013.
  • “Yes I like Justin Bieber and I like Jahar but that has nothing to do with why i support him. I know hes innocent, he is far too beautiful” @******, 25 April 2013.
  • “How many RT’s for our boy jahar look at that beautiful face #freejahar pic.twitter.com/K9xKFvv5HT” @******, 4 May 2013.
  • “Getting one of Jahar’s tweets tattooed on me tomorrow. Guess you could say I’m a #FreeJahar supporter,” @******, 7 May 2013.

I started building scalable algorithms on scalable hardware-software platforms which I developed in 2013 due to the interest above. The research is now published.

Social Information Landscapes of the Boston Bombing Fans

Social Information Landscapes of the Boston Bombing Fans

Abstract of Paper “The Bottom-Up Formation and Maintenance of a Twitter Community: Analysis of the #FreeJahar Twitter Community” [Link to Article]

Purpose – The article explores the formation, maintenance and disintegration of a fringe Twitter community in order to understand if offline community structure applies to online communities

Design/methodology/approach – The research adopted Big Data methodological approaches in tracking user-generated contents over a series of months and mapped online Twitter interactions as a multimodal, longitudinal ‘social information landscape’. Centrality measures were employed to gauge the importance of particular user nodes within the complete network and time-series analysis were used to track ego centralities in order to see if this particular online communities were maintained by specific egos.

Findings – The case study shows that communities with distinct boundaries and memberships can form and exist within Twitter’s limited user content and sequential policies, which unlike other social media services, do not support formal groups, demonstrating the resilience of desperate online users when their ideology overcome social media limitations. Analysis in this article using social networks approaches also reveals that communities are formed and maintained from the bottom-up.

Research limitations/implications – The research data is based on a particular dataset which occurred within a specific time and space. However, due to the rapid, polarising group behaviour, growth, disintegration and decline of the online community, the dataset presents a ‘laboratory’ case from which many other online community can be compared with. It is highly possible that the case can be generalised to a broader range of communities and from which online community theories can be proved/disproved.

Practical implications – The article showed that particular group of egos with high activities, if removed, could entirely break the cohesiveness of the community. Conversely, strengthening such egos will reinforce the community strength. The questions mooted within the paper and the methodology outlined can potentially be applied in a variety of social science research areas. The contribution to the understanding of a complex social and political arena, as outlined in the paper, is a key example of such an application within an increasingly strategic research area ­ and this will surely be applied and developed further by the computer science and security community.

Originality/value – The majority of researches that cover these domains have not focused on communities that are multimodal and longitudinal. This is mainly due to the challenges associated with the collection and analysis of continuous datasets that have high volume and velocity. Such datasets are therefore unexploited with regards to cyber-community research.

Keywords – Social network analysis, big data, twitter, online communities, social media, multimodal network, longitudinal network, freejahar, centrality measure

Four other research papers describes the process:

  1. Ch’ng E. (2015) The Bottom-Up Formation and Maintenance of a Twitter Community: Analysis of the #FreeJahar Twitter Community, Industrial Management & Data Systems 115(4), p.612-624. [Link to Article]
  2. Ch’ng E. (2015) Social Information Landscapes: Automated Mapping of Large Multimodal, Longitudinal Social Networks, Industrial Management & Data Systems, Vol. 115 Iss: 9, pp.1724 – 1751 [Link to Article]
  3. Ch’ng E. (2015) Local Interactions and the Emergence and Maintenance of a Twitter Small-World Network, Social Networking 4(2), p.33-40. [Link to Article]
  4. E. Ch’ng (2014) The Value of Using Big Data Technology in Computational Social Science, The 3rd ASE Big Data Science Conference, 4-7 August 2014, Tsinghua University Beijing China. [Link to Article]