Transcript GAISLabIntroduction

GAIS Lab 簡介
2011/04/09
Sun Wu
Outline
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Research Interest, motivation, and style
Projects
Courses, Operation and Management
Students and future career
FAQ
What’s GAIS?
Global Area Information Service
Services:
Search
Cache/Proxy
Mail
Community
Database
…
Research Goal:
To develop core technologies
and software systems for
Information Age
Innovative
Fundamental
Practical
Research Projects
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GAIS Search Engine
Cloudbase and Agent Network
NUWeb, Ubiquitous Cloud Computing
Web Crawling and Mining
GAIS Search Engine
Currently we are
Developing new search kernel and
infrastructure
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Working on a video search engine
Cloudbase and Agent Net
• Cloudbase provides a scalable data
storage and retrieval/search function for
cloud computing services, which is a core
component for large scale cloud
computing.
• Agent net is to develop a framework for
cloud nodes to collaboratively perform
service rendering or computing.
NUWeb
• Ubiquitous Cloud Computing:
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Personal Cloud System
Community Cloud System
Global Cloud Services
Cloud agent for mobile internet devices
• Services:
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Web Builder, Knowledge Management
Mail, Blog, Photo, Video, Message, BBS, EC, …
AutoSync AutoShare, Backup,
WinWeb, a unified interface for managing cloud
space including PC’s information.
Web Crawling and Mining
• General Purpose Scalable Crawling
• Focused Crawling
• Web Mining: ( large scale data processing
and analysis )
– Keyword DB generation
– Keyword relation analysis
– Keyword ranking / classification / clustering
– Web data partition and classification
– Pattern matching and sequence comparison
Courses, Operation and
Management
• Students are expected to take the following
courses offered by the lab.
– Data Engineering
– Internet Information Retrieval
– Internet Database Systems
• Related Courses:
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Data mining
Social Network
Internet Security
Network related courses such as mobile network,
network management, network programming,
multimedia, …
Courses vs Projects
• In general, the first year students place the
course work as first priority. Some
students might participate in the research
projects if they already have good
background and have less course load.
• The thesis projects will be assigned after
the first year of study.
Meetings
• Every week there will be a group meeting
and individual meeting.
• In the group meeting presentation, one is
expected to present interesting stuff that
might be valuable / helpful to others. It can
be papers, software, websites,
technologies…, or even some fun stuff.
• The topic of the talk is decided by the
speaker.
Students and future career
• Students of the lab are expected to
– Take solid study and practice to build one’s technical
background and strength.
– Learn Internet key and advanced technologies
through the courses and thesis projects.
– Build good team work attitude and learn the ability to
analyze/solve problems and be innovative.
– Build healthy and happy inner-value system and insist
on integrity and conscience for the social welfare.
Graduated students
• Some continued the study for Phd and become
professors.
• Most graduated masters went to IT industry as
engineers such as
– 台積電, 友達 (MIS department)
– Google, Yahoo, 趨勢科技、中華電信、工研院、資策
會、訊連、宏達電、網擎資訊、微軟、八通資訊、遊
戲公司等等 Managers / RD Engineers
– 趨勢科技 有最多 ( > 10) 實驗室的畢業學長。
FAQ
• What’s the requirement for joining the lab?
(What’s the criteria in selecting students?)
• I am interested in GAISLab, how to make
an appointment or apply?
• What’s the requirement for graduation?
• What should I study before I join the lab?
What’s the criteria?
• 沒有一定的標準，有時候隨緣，但通常而言，有以下情形
者機會較大：
• 主動積極的學習態度，熱心，樂於助人
• Good background in programming or systems (UNIX or
Windows, Android…) , especially web programming, is a
plus but not mandatory.
• If you happen to have same name as previous students’,
such as 秉諺, the probability will be higher 
• 音樂或藝術才藝 or 喜歡攝影 
How to?
• 有興趣了解更多或希望加入者
– 準備個人 background 資料或網站
– Email 個人簡介資料檔案或網址到
[email protected] 並約meeting 時間
Requirement for graduation
• 沒有特定的碩士論文成果水準要求。
• 除非自己希望延畢或特殊狀況，否則在正
常修業期限(兩年)畢業。
• 我認為碩士只是一個專業領域的學習與訓
練過程，只要有至少數個月時間積極認真
的進行論文計畫就 OK，學習最重要的是對
自己的將來負責。