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Call for Undergraduate Posters


The ACM Turing 50th Celebration Conference - China (ACM图灵奖五十年中国大会) will be held in the magnificent city of Shanghai, China, 12-14 May, 2017. This year we aim at addressing a key theme on “Trustworthy Network Big Data”. This conference will feature world-class plenary speakers, major technical symposia, industry forum and workshops. Undergraduate students who have played a key role in a research project are invited to submit an abstract to this poster session. Any project broadly related to big data is within the scope of this session including but not limited to the following areas.

Big Data Science and Foundations

      • Novel Theoretical Models for Big Data
      • New Computational Models for Big Data
      • Data and Information Quality for Big Data
      • New Data Standards


Big Data Infrastructure

      • Cloud/Grid/Stream Computing for Big Data
      • High Performance/Parallel Computing Platforms for Big Data
      • Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
      • Energy-efficient Computing for Big Data
      • Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
      • Software Techniques and Architectures in Cloud/Grid/Stream Computing
      • Big Data Open Platforms
      • New Programming Models for Big Data beyond Hadoop/ MapReduce, STORM
      • Software Systems to Support Big Data Computing


Big Data Management

      • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT /IoE, and multimedia data
      • Algorithms and Systems for Big Data Search
      • Distributed, and Peer-to-peer Search
      • Big Data Search Architectures, Scalability and Efficiency
      • Data Acquisition, Integration, Cleaning, and Best Practices
      • Visualization Analytics for Big Data
      • Computational Modeling and Data Integration
      • Large-scale Recommendation Systems and Social Media Systems
      • Cloud/Grid/Stream Data Mining- Big Velocity Data
      • Link and Graph Mining
      • Semantic-based Data Mining and Data Pre-processing
      • Mobility and Big Data
      • Multimedia and Multi-structured Data- Big Variety Data


Big Data Search and Mining

      • Social Web Search and Mining
      • Web Search
      • Algorithms and Systems for Big Data Search
      • Distributed, and Peer-to-peer Search
      • Big Data Search Architectures, Scalability and Efficiency
      • Data Acquisition, Integration, Cleaning, and Best Practices
      • Visualization Analytics for Big Data
      • Computational Modeling and Data Integration
      • Large-scale Recommendation Systems and Social Media Systems
      • Cloud/Grid/Stream Data Mining- Big Velocity Data
      • Link and Graph Mining
      • Semantic-based Data Mining and Data Pre-processing
      • Mobility and Big Data
      • Multimedia and Multi-structured Data- Big Variety Data


Big Data Security & Privacy

      • Intrusion Detection for Gigabit Networks
      • Anomaly and APT Detection in Very Large Scale Systems
      • High Performance Cryptography
      • Visualizing Large Scale Security Data
      • Threat Detection using Big Data Analytics
      • Privacy Threats of Big Data
      • Privacy Preserving Big Data Collection/Analytics
      • HCI Challenges for Big Data Security & Privacy
      • User Studies for any of the above
      • Sociological Aspects of Big Data Privacy


Big Data Applications

      • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
      • Big Data Analytics in Small Business Enterprises (SMEs)
      • Big Data Analytics in Government, Public Sector and Society in General
      • Real-life Case Studies of Value Creation through Big Data Analytics
      • Big Data as a Service
      • Big Data Industry Standards
      • Experiences with Big Data Project Deployments


Industry Track

Applications of Big Data

Applications of Artificial Intelligence


Based on the quality of submissions, a number of students will be selected to present posters describing their research at the ACM Turing 50th Celebration Conference - China. Selected students must attend the conference and present their posters at the conference.

Longer-term, we hope a larger and more vibrant competition will not only incentivize more undergraduates to "get hooked" to computer science research early, but also provide an opportunity for many undergraduates already engaged in computer science research to attend a top-tier conference.

A "best poster" winner will be selected and announced at the awards session.

 

Eligibility
For the purposes of this competition, a student is considered an undergraduate student if he/she has not yet obtained a BS/BA (or equivalent) degree at the time of submission. If the applicant's school system is "non-traditional," and the applicant considers themselves eligible, then the Chairs should be contacted prior to submission.


Important Dates
Poster Submission Due:  April 10, 2017
Acceptance Notification: April 15, 2017


Submission guidelines:
Your poster should include author information, a problem statement, a contextualization with respect to the state-of-the-art, if appropriate, a brief technical overview of the solution, a summary of major results, and any appropriate figures and references. Suggested poster size is 80 x 200 cm. We require that one student and the supervisor are the sole authors of the poster. Submissions should be sent to Fan Wu ([email protected]) with a title of “TURC2017 Undergraduate Poster Submission”. Any submission that does not satisfy above requirements may be automatically discarded without further evaluation.

Note: There will be a research poster competition. Submissions to the research poster competition are permitted even if the student has already published a paper on the same topic or will have a paper on the same topic at another conference or journal.


ACM TURC 2017 Poster Chairs:
Hongzhi Wang (Harbin Institute of Technology)
Fan Wu (Shanghai Jiao Tong University)