Discover & create

Cloud Computing

Proceedings of the 2010 ACM workshop on Cloud computing security workshop'

http://portal.acm.org/citation.cfm?id=1866835&picked=prox&cfid=3816036&cftoken=38119000

http://www.informatik.uni-trier.de/~ley/db/conf/cloud/socc2010.html

All cloud computing papers on DBLP

http://dblp.mpi-inf.mpg.de/dblp-mirror/index.php#query=Cloud computing&qp=H1.20:F1.4:F2.4:F3.4

Funny Site

A site to trace your academic ancestors and descendances:

http://genealogy.math.ndsu.nodak.edu/index.php

BRIDGE

http://www.bridge-project.eu/index.php/mainpage/en/


Economic impact of RFID report
http://www.bridge-project.eu/data/File/BRIDGE_WP13_Economic_impact_RFID.pdf

European Passive RFID Market Sizing 2007-2022
http://www.bridge-project.eu/data/File/BRIDGE%20WP13%20European%20passive%20RFID%20Market%20Sizing%202007-2022.pdf

How to explore?

What shall I get from the exploration?  The answers are clear, since they are the motivation for me to spend time on exploration. But it is still necessary to write them down, because I may feel confuse and lose confidence when under some pressure. Exploration won't lead to instant output, but for the long term, it will have great meaning.


As I recognize knowledge as a connected "body". The first step is getting familiar with the framework of knowledge. For a specific area, identify the curtail points. That is building the map of knowledge.

The answer is that it really depends on what the PhD research topic in.

Even in a bad economy, there is a need for people with expertise in certain domains:

• Algorithms and information retrieval (used by companies like Google)
• Pattern recognition and machine learning (finance and search)
• Natural language processing
• Robotics (very strong, but tends to fall on the defense side of things)
• Bioinformatics
• Vision (very strong, but again, often on the defense side; some medical)
• Computer graphics
• Computer architecture (suggested by DasBoot, often under EE, useful for Intel, etc.)
• Certain aspects of verification and testing (typically government jobs, NASA, defense)
• Parallel processing and scientific computing (many government research labs)

Unfortunately, many many PhD topics fall outside these areas. In these cases, there is limited benefit to having a PhD unless you happen to score an academic or research job and that is very competitive. In bad economies, universities shut down hiring and research labs and organizations are the first place to be frozen in large corporations.

So unless you are in those fields, I highly recommend against it. Once you go to the academia, you are also losing time that you could spend becoming a more experienced engineer. You are then also not able to get any engineering positions, at least not entry-level one.

Your background sounds like robotics may be your field. If you can get security clearance, that may be a good direction to pursue a PhD in.

If you want specific stories, I am getting a Ph.D. in software engineering from a top-4 school. My research focused on the usability of APIs. I am going to burn the diploma the day I get it as a symbol of how I burned my career. Getting a Ph.D. is a gamble, it may be preferable to play it safe.

Also, it is important to realize that Ph.Ds. are more common than one would expect. This year, for example, Cornell University which is a top-ten school received more than 400 applications for faculty positions. If you imagine that most Ph.Ds. didn't even bother trying to aim that high, it's a scary number. The top schools produce tons of Ph.D.s (hundreds), and they compete against people from lower ranked schools that also do amazing work, etc.

How to choose a research topic

http://www.suite101.com/content/dissertation-and-thesis-topics-a17177


http://www-rocq.inria.fr/~abitebou/PRESENTATION/HowToChooseAThesisTopoc-EDBT02.pdf
The points: : It should be new, beautiful, have a simple statement and be technologically difficult, and you feel fun when working on it.

[What's "beautiful"?]

Combinatorics

http://en.wikipedia.org/wiki/Combinatorics

What's the essential of Computer Science?

Encyclopedia and handbooks published by Springer

http://www.informatik.uni-trier.de/~ley/db/reference/index.html

E-voting

Electronic Election?

Towards Trustworthy Elections, New Directions in Electronic Voting.
http://www.informatik.uni-trier.de/~ley/db/conf/wote/lncs6000.html#JuelsCJ10

Algorithmic Game Theory

http://en.wikipedia.org/wiki/Algorithmic_game_theory

A book
http://dinar.yantel.ru/files/docs/Books/Nisan%20-%20Algorithmic%20Game%20Theory%20(Cambridge,%202007).pdf

A blog
http://agtb.wordpress.com/

Math required by CS

Computer Science Journals

Journal List
http://en.wikipedia.org/wiki/Category:Computer_science_journals

Journal ranking
http://www.cs.iit.edu/~xli/CSJournalsRanking.htm

http://www3.ntu.edu.sg/home/assourav/jrank.htm

Deng Xiaotie

http://www.cs.cityu.edu.hk/~deng/index.php

Advices To Graduate Students

Advice by David Patterson Advice by Fan Chung Graham A Collection by Mark Leone

STOC

STOC

http://en.wikipedia.org/wiki/Symposium_on_Theory_of_Computing

http://www.cs.caltech.edu/~schulman/

STOC proceedings on ACM Digital Library
http://portal.acm.org/event.cfm?id=RE224&tab=pubs&CFID=3108930&CFTOKEN=81377101

http://portal.acm.org/citation.cfm?id=1806689&picked=prox&CFID=3108930&CFTOKEN=81377101

Topics in STOC:

 algorithms and data structures
computational complexity 
cryptography, 
computational learning theory,
 computational game theory,
 parallel and distributed algorithms, 
quantum computing, 
computational geometry, 
computational applications of logic,
algorithmic graph theory and combinatorics,
 optimization, randomness in computing, 
approximation algorithms, 
algorithmic coding theory,
 algebraic computation, 




and theoretical aspects of areas such as 


networks,
 privacy,
 information retrieval,
 computational biology, 
databases. 


Papers that broaden the reach of the theory of computing, or raise important problems that can benefit from theoretical investigation and analysis, are encouraged.

Scientific Writing and Presentation

How to Publish in Top Journals

How to Write a Frequently Cited Article

The Science of Scientific Writing

Purdue OWL    

The Elements of Style     

Writing Guidelines for Engineering and Science Students

Grammar, Punctuation, and Capitalization

About Tables and Figures

Logical Fallacies in Scientific Writing 

Online Technical Writing: Contents

Article Usage 

The Scientific Article: From Galileo’s New Science to the Human Genome

Guide to Grammar and Style 

How to avoid the reviewer’s axe

Refereeing Procedure and Policy     

Kipling’s Guide to Writing a Scientific Paper

About Review

Award winner PHD thesis

ACM Doctoral Dissertation Award

http://awards.acm.org/doctoral_dissertation/

Ideal Research Topic

Interesting~  &

How does a research topic evolve?

How long is the general lifecycle of a research topic?

Universities and Research institutions

AAU: Association of American Universities
http://en.wikipedia.org/wiki/Association_of_American_Universities

Research Funding

http://en.wikipedia.org/wiki/Research_funding

List of funding opportunity database
http://en.wikipedia.org/wiki/List_of_funding_opportunity_databases
---------------------------------------------------------------

Overview of new financial rules and funding opportunities 2007-2013： From European Commission:  for researchers page 11

http://ec.europa.eu/budget/library/publications/financial_pub/pack_rules_funds_en.pdf


List of National Contact Points:
www.cordis.europa.eu/fp7/get-support_en.html

• CORDIS website:
The site contains a great deal of information about FP7, including the latest
updates, the calendar of calls for proposals, the texts of the calls, frequently asked questions (FAQ), and more.
www.cordis.europa.eu/fp7/ 

• The European Commission's Research website:
This site contains simple, downloadable fact sheets explaining FP7, available
in 23 languages.
www.ec.europa.eu/research/fp7/ 

• Research Enquiry Service:
www.ec.europa.eu/research/enquiries 

• European Research Council:
http://erc.europa.eu/ 

What kind of research will get support from nation? industry?

Funding list? --> future research direction?

NSF?  et al.

Useful? crucial?

Internet of things? IOT

IOT 2008
http://www.informatik.uni-trier.de/~ley/db/conf/iot/iot2008.html

IOT 2010:
http://www.iot2010.org/


SecIOT 2010: the 1st workshop on the security of IOT
Urban IOT 2010: Urban Internet of things - Towards programmable  real-time cities?
LocWeb 2010: Third International Workshop on Location and the web 2010
Trustworthy IoPTS: The 4th International Workshops on Trustworthy of Internet of
       people, things & services

MIT autoID lab
http://autoid.mit.edu/cs/

IOT & auto-id? The same thing? or autoID is part of IOT?

Science, technology, art?

Standards

http://en.wikipedia.org/wiki/Category:Standards

What kind of application require standard?

How the standard come up?

Who set up the standards？

RFID standards

http://www.epcglobalinc.org/home/

Group:  Cambridge AutoID lab
        http://www.autoidlabs.org.uk/


        Dr. Mark Harrison, Cambridge
        http://www.ifm.eng.cam.ac.uk/people/mgh12/
 
        Prof. Duncan Mcfarlane    
        http://www.ifm.eng.cam.ac.uk/people/dcm/

Research and science?

Scientists do research. The ones who do research are called scientists.

Researchers work on science(research)?

research is a kind of means that leads to a progress on science?

researcher & scientist

seems scientists are extremely excellent researchers, but not all researcher can be called as scientist.

Mathematics

http://en.wikipedia.org/wiki/Portal:Mathematics

Science

Science portal:
http://en.wikipedia.org/wiki/Portal:Science

History of science:
http://en.wikipedia.org/wiki/Portal:History_of_science

Science related lists
http://en.wikipedia.org/wiki/Category:Science-related_lists

Scientific method
http://en.wikipedia.org/wiki/Scientific_method

Finance?

Researchers' blogs

Cambridge

http://www.lightbluetouchpaper.org/

algorithmic game theory

http://agtb.wordpress.com/

Algorithm--General Information

Algorithm

http://en.wikipedia.org/wiki/Algorithm

Categories of Algorithm
http://en.wikipedia.org/wiki/Category:Algorithms

Dictionary of Algorithms and Data Structures
http://en.wikipedia.org/wiki/Dictionary_of_Algorithms_and_Data_Structures

Timeline of algorithms
http://en.wikipedia.org/wiki/Timeline_of_algorithms





List of data structures
http://en.wikipedia.org/wiki/List_of_data_structures

List of complexity classes
http://en.wikipedia.org/wiki/List_of_complexity_classes

Optimization algorithms

http://en.wikipedia.org/wiki/Category:Optimization_algorithms

Keynes family

http://en.wikipedia.org/wiki/Keynes_family

Interesting Quotes

"He must study the present in the light of the past for the purpose of the future."

                                                       -- J. N. Keynes

Useful academic services

1.Editing and proof reading services:

  Email: wewritebetter@gmail.com

  Web: sites.google.com/site/amritk/

My academic services

My previous publications

Philosophy of computer science

http://plato.stanford.edu/entries/computer-science/

argument, reasoning?

Philosophy

http://en.wikipedia.org/wiki/Philosophy

Stanford Encyclopedia of Philosophy

http://plato.stanford.edu/

Crypto Institutions

http://research.cyber.ee/~lipmaa/cites/cites.php?sorted=institution&data=crypto

Principles of Effective Research--Michael Nielsen

http://www.qinfo.org/people/nielsen/blog/archive/000120.html

http://en.wikipedia.org/wiki/Michael_Nielsen

http://michaelnielsen.org/blog/

His new book: The future of science
http://michaelnielsen.org/blog/the-future-of-science-2/

"Developing a taste for what's important:"


 "He advised young people in the audience not to work towards a Nobel Prize, but instead to aim their research in directions that they personally find fun and interesting."


"In fact, in any given research field there are usually only a tiny number of papers that are really worth reading. You are almost certainly better off reading deeply in the ten most important papers of a research field than you are skimming the top five hundred."


"Systematically setting aside time to think (and talk with colleagues) about where the important problems are is an excellent way of developing as a problem-creator."

"On this topic, let me point out one myth that exerts a powerful influence (often subconsciously) on people: the idea that difficulty is a good indicator of the importance of a problem. It is true that an elegant solution to a difficult problem (even one not a priori important) often contains important ideas. However, I believe that most people consistently over rate the importance of difficulty. Often far more important is what your work enables, the connections that it makes apparent, the unifying themes uncovered, the new questions asked, and so on."


[difficulty is not an indicator of the importance of a problem?]

''Zen and the Brain" --Austin

工欲善其事,必先利其器    Sharpen the knife before cutting the wood.

Herbert Simon (Turing and Nobel prize holder)

http://en.wikipedia.org/wiki/Herbert_Simon

Society for general systems research
http://en.wikipedia.org/wiki/Society_for_General_Systems_Research

Science and technology in Israel

http://en.wikipedia.org/wiki/Science_and_technology_in_Israel#Scientific_research_institutions

Weizmann Institute of Science

http://en.wikipedia.org/wiki/Weizmann_Institute_of_Science

Computer Society

DBLP list 

http://www.informatik.uni-trier.de/~ley/organizations.html

List provide by Waterloo University

http://www.lib.uwaterloo.ca/society/compsci_soc.html

Computer related organizations:

http://en.wikipedia.org/wiki/Category:Computer-related_organizations

Cryptography Links

wikipedia portal:
http://en.wikipedia.org/wiki/Portal:Cryptography

Cryptographers' World
http://www.cryptographersworld.com/

David Wagner's List
http://www.cs.berkeley.edu/~daw/people/crypto.html

Helger Lipmaa's list
http://research.cyber.ee/~lipmaa/crypto/

Highest level conference statistics:
http://www.iacr.org/cryptodb/data/stats.php

Cypto Institutions:
http://research.cyber.ee/~lipmaa/cites/cites.php?sorted=institution&data=crypto

History and timeline of computing

IEEE Annals of the History of Computing
http://www.computer.org/portal/web/annals/home


History of computer science
http://en.wikipedia.org/wiki/History_of_computer_science

Stephen White's history http://trillian.randomstuff.org.uk/~stephen//history/

Timeline of computing: http://en.wikipedia.org/wiki/Timeline_of_computing

Various timelines in CS：http://en.wikipedia.org/wiki/Category:Computing_timelines