msc-projects-18.html
changeset 563 9d21149ba75c
parent 560 677b703c48fe
child 607 af26040c6fe2
equal deleted inserted replaced
562:8a0468cb7b3c 563:9d21149ba75c
       
     1 <?xml version="1.0" encoding="utf-8"?>
       
     2 <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
       
     3 <HEAD>
       
     4 <TITLE>2018/19 MSc Projects</TITLE>
       
     5 <BASE HREF="https://nms.kcl.ac.uk/christian.urban/">
       
     6 <script type="text/javascript" src="striper.js"></script>
       
     7 <link rel="stylesheet" href="nominal.css">
       
     8 <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.2/MathJax.js?config=TeX-MML-AM_CHTML">
       
     9 </script>
       
    10 </HEAD>
       
    11 <BODY TEXT="#000000" 
       
    12       BGCOLOR="#4169E1" 
       
    13       LINK="#0000EF" 
       
    14       VLINK="#51188E" 
       
    15       ALINK="#FF0000"
       
    16       ONLOAD="striper('ul','striped','li','first,second')">
       
    17 
       
    18 
       
    19 
       
    20 <TABLE WIDTH="100%" 
       
    21        BGCOLOR="#4169E1" 
       
    22        BORDER="0"   
       
    23        FRAME="border"  
       
    24        CELLPADDING="10"     
       
    25        CELLSPACING="2"
       
    26        RULES="all">
       
    27 
       
    28 <TR>
       
    29 <TD BGCOLOR="#FFFFFF" 
       
    30     WIDTH="75%" 
       
    31     VALIGN="TOP">
       
    32 
       
    33 <H2>2018/19 MSc Projects</H2>
       
    34 <H4>Supervisor: Christian Urban</H4> 
       
    35 <H4>Email: christian dot urban at kcl dot ac dot uk,  Office: Bush House N7.07</H4>
       
    36 <H4>If you are interested in a project, please send me an email and we can discuss details. Please include
       
    37 a short description about your programming skills and Computer Science background in your first email. 
       
    38 Thanks.</H4> 
       
    39 
       
    40 <H4>Note that besides being a lecturer at the theoretical end of Computer Science, I am also a passionate
       
    41     <A HREF="http://en.wikipedia.org/wiki/Hacker_(programmer_subculture)">hacker</A> &hellip;
       
    42     defined as &ldquo;a person who enjoys exploring the details of programmable systems and 
       
    43     stretching their capabilities, as opposed to most users, who prefer to learn only the minimum 
       
    44     necessary.&rdquo; I am always happy to supervise like-minded students.
       
    45 </H4>
       
    46 
       
    47 <H4>In 2013/14, I was nominated by the students
       
    48     for the best BSc project supervisor and best MSc project supervisor awards in the NMS
       
    49     faculty. Somehow I won both. In 2014/15 I was nominated again for the best MSc
       
    50     project supervisor, but did not win it. ;o)
       
    51 </H4>  
       
    52 
       
    53 <ul class="striped">
       
    54 <li> <H4 id="regex">[CU1] Regular Expressions, Lexing and Derivatives</H4>
       
    55 
       
    56   <p>
       
    57   <B>Description:</b>  
       
    58   <A HREF="http://en.wikipedia.org/wiki/Regular_expression">Regular expressions</A> 
       
    59   are extremely useful for many text-processing tasks, such as finding patterns in hostile 
       
    60   <A HREF="https://www.snort.org">network traffic</A>,
       
    61   lexing programs, syntax highlighting and so on. Given that regular expressions were
       
    62   introduced in 1950 by <A HREF="http://en.wikipedia.org/wiki/Stephen_Cole_Kleene">Stephen Kleene</A>,
       
    63   you might think regular expressions have since been studied and implemented to death. But you would definitely be
       
    64   mistaken: in fact they are still an active research area. On the top of my head, I can give
       
    65   you at least ten research papers that appeared in the last few years.
       
    66   For example
       
    67   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/regex-parsing-derivatives.pdf">this paper</A> 
       
    68   about regular expression matching and derivatives was presented in 2014 at the international 
       
    69   FLOPS conference. Another <A HREF="https://nms.kcl.ac.uk/christian.urban/Publications/posix.pdf">paper</A> by my PhD student and me was presented in 2016
       
    70   at the international ITP conference.
       
    71   The task in this project is to implement these results and use them for lexing.</p>
       
    72 
       
    73   <p>The background for this project is that some regular expressions are 
       
    74   &ldquo;<A HREF="http://en.wikipedia.org/wiki/ReDoS#Examples">evil</A>&rdquo;
       
    75   and can &ldquo;stab you in the back&rdquo; according to
       
    76   this <A HREF="http://peterscott.github.io/2013/01/17/regular-expressions-will-stab-you-in-the-back/">blog post</A>.
       
    77   For example, if you use in <A HREF="http://www.python.org">Python</A> or 
       
    78   in <A HREF="http://www.ruby-lang.org/en/">Ruby</A> (or also in a number of other mainstream programming languages) the 
       
    79   innocently looking regular expression <code>a?{28}a{28}</code> and match it, say, against the string 
       
    80   <code>aaaaaaaaaaaaaaaaaaaaaaaaaaaa</code> (that is 28 <code>a</code>s), you will soon notice that your CPU usage goes to 100%. In fact,
       
    81   Python and Ruby need approximately 30 seconds of hard work for matching this string. You can try it for yourself:
       
    82   <A HREF="http://talisker.inf.kcl.ac.uk/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/catastrophic.py">catastrophic.py</A> (Python version) and 
       
    83   <A HREF="http://talisker.inf.kcl.ac.uk/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/catastrophic.rb">catastrophic.rb</A> 
       
    84   (Ruby version). Here is a similar problem with the regular expression <code>(a*)*b</code> in Java: 
       
    85   <A HREF="http://talisker.inf.kcl.ac.uk/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/catastrophic.java">catastrophic.java</A> 
       
    86   </p> 
       
    87 
       
    88   <p>
       
    89   You can imagine an attacker
       
    90   mounting a nice <A HREF="http://en.wikipedia.org/wiki/Denial-of-service_attack">DoS attack</A> against 
       
    91   your program if it contains such an &ldquo;evil&rdquo; regular expression. But it can also happen by accident:
       
    92   on 20 July 2016 the website <A HREF="http://stackstatus.net/post/147710624694/outage-postmortem-july-20-2016">Stack Exchange</A>
       
    93   was knocked offline because of an evil regular expression. One of their engineers talks about this in this
       
    94   <A HREF="https://vimeo.com/112065252">video</A>. A similar problem needed to be fixed in the
       
    95   <A HREF="http://davidvgalbraith.com/how-i-fixed-atom/">Atom</A> editor.
       
    96   A few implementations of regular expression matchers are almost immune from such problems.
       
    97   For example, <A HREF="http://www.scala-lang.org/">Scala</A> can deal with strings of up to 4,300 <code>a</code>s in less than a second. But if you scale
       
    98   the regular expression and string further to, say, 4,600 <code>a</code>s, then you get a <code>StackOverflowError</code> 
       
    99   potentially crashing your program. Moreover (beside the "minor" problem of being painfully slow) according to this
       
   100   <A HREF="http://www.haskell.org/haskellwiki/Regex_Posix">report</A>
       
   101   nearly all regular expression matchers using the POSIX rules are actually buggy.
       
   102   </p>
       
   103 
       
   104   <p>
       
   105   On a rainy afternoon, I implemented 
       
   106   <A HREF="http://talisker.inf.kcl.ac.uk/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/re3.scala">this</A> 
       
   107   regular expression matcher in Scala. It is not as fast as the official one in Scala, but
       
   108   it can match up to 11,000 <code>a</code>s in less than 5 seconds  without raising any exception
       
   109   (remember Python and Ruby both need nearly 30 seconds to process 28(!) <code>a</code>s, and Scala's
       
   110   official matcher maxes out at 4,600 <code>a</code>s). My matcher is approximately
       
   111   85 lines of code and based on the concept of 
       
   112   <A HREF="http://lambda-the-ultimate.org/node/2293">derivatives of regular expressions</A>.
       
   113   These derivatives were introduced in 1964 by <A HREF="http://en.wikipedia.org/wiki/Janusz_Brzozowski_(computer_scientist)">
       
   114   Janusz Brzozowski</A>, but according to this
       
   115   <A HREF="https://www.cs.kent.ac.uk/people/staff/sao/documents/jfp09.pdf">paper</A> had been lost in the &ldquo;sands of time&rdquo;.
       
   116   The advantage of derivatives is that they side-step completely the usual 
       
   117   <A HREF="http://hackingoff.com/compilers/regular-expression-to-nfa-dfa">translations</A> of regular expressions
       
   118   into NFAs or DFAs, which can introduce the exponential behaviour exhibited by the regular
       
   119   expression matchers in Python, Java and Ruby.
       
   120   </p>
       
   121 
       
   122   <p>
       
   123   Now the authors from the 
       
   124   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/regex-parsing-derivatives.pdf">FLOPS'14-paper</A> mentioned 
       
   125   above claim they are even faster than me and can deal with even more features of regular expressions
       
   126   (for example subexpression matching, which my rainy-afternoon matcher cannot). I am sure they thought
       
   127   about the problem much longer than a single afternoon. The task 
       
   128   in this project is to find out how good they actually are by implementing the results from their paper. 
       
   129   Their approach to regular expression matching is also based on the concept of derivatives.
       
   130   I used derivatives very successfully once for something completely different in a
       
   131   <A HREF="https://nms.kcl.ac.uk/christian.urban/Publications/rexp.pdf">paper</A> 
       
   132   about the <A HREF="http://en.wikipedia.org/wiki/Myhill–Nerode_theorem">Myhill-Nerode theorem</A>.
       
   133   So I know they are worth their money. Still, it would be interesting to actually compare their results
       
   134   with my simple rainy-afternoon matcher and potentially &ldquo;blow away&rdquo; the regular expression matchers 
       
   135   in Python, Ruby and Java (and possibly in Scala too). The application would be to implement a fast lexer for
       
   136   programming languages, or improve the network traffic analysers in the tools <A HREF="https://www.snort.org">Snort</A> and
       
   137   <A HREF="https://www.bro.org">Bro</A>.
       
   138   </p>
       
   139 
       
   140   <p>
       
   141   <B>Literature:</B> 
       
   142   The place to start with this project is obviously this
       
   143   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/regex-parsing-derivatives.pdf">paper</A>
       
   144   and this <A HREF="https://nms.kcl.ac.uk/christian.urban/Publications/posix.pdf">one</A>.
       
   145   Traditional methods for regular expression matching are explained
       
   146   in the Wikipedia articles 
       
   147   <A HREF="http://en.wikipedia.org/wiki/DFA_minimization">here</A> and 
       
   148   <A HREF="http://en.wikipedia.org/wiki/Powerset_construction">here</A>.
       
   149   The authoritative <A HREF="http://infolab.stanford.edu/~ullman/ialc.html">book</A>
       
   150   on automata and regular expressions is by John Hopcroft and Jeffrey Ullmann (available in the library). 
       
   151   There is also an online course about this topic by Ullman at 
       
   152   <A HREF="https://www.coursera.org/course/automata">Coursera</A>, though IMHO not 
       
   153   done with love. 
       
   154   There are millions of other pointers about regular expression
       
   155   matching on the Web. I found the chapter on Lexing in this
       
   156   <A HREF="http://www.diku.dk/~torbenm/Basics/">online book</A> very helpful. Finally, it will
       
   157   be of great help for this project to take part in my Compiler and Formal Language module (6CCS3CFL).
       
   158   Test cases for &ldquo;<A HREF="http://en.wikipedia.org/wiki/ReDoS#Examples">evil</A>&rdquo;
       
   159   regular expressions can be obtained from <A HREF="http://www.haskell.org/haskellwiki/Regex_Posix">here</A>.
       
   160   </p>
       
   161 
       
   162   <p>
       
   163   <B>Skills:</B> 
       
   164   This is a project for a student with an interest in theory and with
       
   165   good programming skills. The project can be easily implemented
       
   166   in functional languages like
       
   167   <A HREF="http://www.scala-lang.org/">Scala</A>,
       
   168   <A HREF="http://fsharp.org">F#</A>, 
       
   169   <A HREF="http://en.wikipedia.org/wiki/Standard_ML">ML</A>,  
       
   170   <A HREF="http://haskell.org/haskellwiki/Haskell">Haskell</A>, etc. Python and other non-functional languages
       
   171   can be also used, but seem much less convenient. If you do attend my Compilers and Formal Languages
       
   172   module, that would obviously give you a head-start with this project.
       
   173   </p>
       
   174 
       
   175 <li> <H4>[CU5] Grammars and Derivative-Based Parsing Algorithms</H4>
       
   176 
       
   177 <p>
       
   178 Parsing is an old nut. Generations of software developers need to do parsing of data or text.
       
   179 There are zillions of links, tools, papers and textbooks about parsing. One particular
       
   180 <A HREF="https://dickgrune.com/Books/PTAPG_1st_Edition/BookBody.pdf">book</A> contains something
       
   181 like 700 different algorithm, nicely analysed and described. Surely, parsing must be a solved problem. Or is it? 
       
   182 Laurie Tratt has a blog <A HREF="https://tratt.net/laurie/blog/entries/parsing_the_solved_problem_that_isnt.html">post</A>
       
   183 about <i>Parsing: The Solved Problem That Isn't</i>. IMHO parsing is still a wide open field and not solved at all.
       
   184 PEG parsing, error reporting, error correction, runtime to name just a few are aspects that seem to cause headaches
       
   185 to developers, and to researchers.</p>   
       
   186 
       
   187 <p>
       
   188 A recent <A HREF="https://www.cl.cam.ac.uk/~jdy22/papers/a-typed-algebraic-approach-to-parsing.pdf">paper</A> 
       
   189 (not even published yet) follows an idea for regular expressions: it adapts the notion of 
       
   190 derivatives of regular expressions to grammars. The idea is to implement in a functional programming language
       
   191 the parsing algorithm proposed in this paper and to try it out with some sample data.
       
   192 </p>
       
   193 
       
   194 <p>
       
   195 <B>Literature:</B> <A HREF="https://www.cl.cam.ac.uk/~jdy22/papers/a-typed-algebraic-approach-to-parsing.pdf">paper</A>  
       
   196 </p>
       
   197 
       
   198 <p>
       
   199 <B>Skills:</B> See [CU1].
       
   200 </p>
       
   201 
       
   202 <li> <H4>[CU6] Webassembly Interpreter / Compiler</H4>
       
   203 
       
   204 <p>
       
   205 Webassembly is a recently agreed standard for speeding up web applications in browsers. In this 
       
   206 project the aim is to implement an interpreter or compiler for webassembly. There are already
       
   207 <A HREF="https://github.com/WebAssembly/spec/tree/master/interpreter">reference interpreters</A>,
       
   208 but people take different views, for example implement a 
       
   209 <A HREF="https://groups.google.com/forum/#!topic/comp.lang.forth/CvNrP_AOmmw">Forth</A> language on top of webassembly. 
       
   210 What is good about webassembly is that is a rather simple format, which can be generated quite
       
   211 easily, unlike Java class files, which need some head-standing when you generate them. 
       
   212 </p>
       
   213 
       
   214 <p>
       
   215 A <A HREF="https://github.com/WebAssembly/spec/tree/master/interpreter">reference interpreter</A> for webassembly.  
       
   216 </p>
       
   217 
       
   218 <li> <H4>[CU2] A Compiler for a small Programming Language</H4>
       
   219 
       
   220   <p>
       
   221   <b>Description:</b> 
       
   222   Compilers translate high-level programs that humans can read and write into
       
   223   efficient machine code that can be run on a CPU or virtual machine.
       
   224   A compiler for a simple functional language generating X86 code is described
       
   225   <A HREF="https://libraries.io/github/chameco/Shade">here</A>.
       
   226   I recently implemented a very simple compiler for an even simpler functional
       
   227   programming language following this 
       
   228   <A HREF="https://www.cs.princeton.edu/~dpw/papers/tal-toplas.pdf">paper</A> 
       
   229   (also described <A HREF="https://www.cs.princeton.edu/~dpw/papers/tal-tr.pdf">here</A>).
       
   230   My code, written in <A HREF="http://www.scala-lang.org/">Scala</A>, of this compiler is 
       
   231   <A HREF="https://nms.kcl.ac.uk/christian.urban/compiler.scala">here</A>.
       
   232   The compiler can deal with simple programs involving natural numbers, such
       
   233   as Fibonacci numbers or factorial (but it can be easily extended - that is not the point).
       
   234   </p>
       
   235 
       
   236   <p>
       
   237   While the hard work has been done (understanding the two papers above),
       
   238   my compiler only produces some idealised machine code. For example I
       
   239   assume there are infinitely many registers. The goal of this
       
   240   project is to generate machine code that is more realistic and can
       
   241   run on a CPU, like X86, or run on a virtual machine, say the JVM. 
       
   242   This gives probably a speedup of thousand times in comparison to
       
   243   my naive machine code and virtual machine. The project
       
   244   requires to dig into the literature about real CPUs and generating 
       
   245   real machine code. 
       
   246   </p>
       
   247   <p>
       
   248   An alternative is to not generate machine code, but build a compiler that compiles to
       
   249   <A HREF="http://www.w3schools.com/js/">JavaScript</A>. This is the language that is supported by most
       
   250   browsers and therefore is a favourite
       
   251   vehicle for Web-programming. Some call it <B>the</B> scripting language of the Web.
       
   252   Unfortunately, JavaScript is also probably one of the worst
       
   253   languages to program in (being designed and released in a hurry). <B>But</B> it can be used as a convenient target
       
   254   for translating programs from other languages. In particular there are two
       
   255   very optimised subsets of JavaScript that can be used for this purpose:
       
   256   one is <A HREF="http://asmjs.org">asm.js</A> and the other is
       
   257   <A HREF="https://github.com/kripken/emscripten/wiki">emscripten</A>. Since
       
   258   last year there is even the official <A HREF="http://webassembly.org">Webassembly</A>
       
   259   There is a <A HREF="http://kripken.github.io/emscripten-site/docs/getting_started/Tutorial.html">tutorial</A> for emscripten
       
   260   and an impressive <A HREF="https://youtu.be/c2uNDlP4RiE">demo</A> which runs the
       
   261   <A HREF="http://en.wikipedia.org/wiki/Unreal_Engine">Unreal Engine 3</A>
       
   262   in a browser with spectacular speed. This was achieved by compiling the
       
   263   C-code of the Unreal Engine to the LLVM intermediate language and then translating the LLVM
       
   264   code to JavaScript.
       
   265   </p>
       
   266 
       
   267   <p>
       
   268   <B>Literature:</B>
       
   269   There is a lot of literature about compilers 
       
   270   (for example <A HREF="http://www.cs.princeton.edu/~appel/papers/cwc.html">this book</A> -
       
   271   I can lend you my copy for the duration of the project, or this
       
   272   <A HREF="http://www.diku.dk/~torbenm/Basics/">online book</A>). A very good overview article
       
   273   about implementing compilers by 
       
   274   <A HREF="http://tratt.net/laurie/">Laurie Tratt</A> is 
       
   275   <A HREF="http://tratt.net/laurie/tech_articles/articles/how_difficult_is_it_to_write_a_compiler">here</A>.
       
   276   An online book about the Art of Assembly Language is
       
   277   <A HREF="http://flint.cs.yale.edu/cs422/doc/art-of-asm/pdf/">here</A>.
       
   278   An introduction into x86 machine code is <A HREF="http://ianseyler.github.com/easy_x86-64/">here</A>.
       
   279   Intel's official manual for the x86 instruction is 
       
   280   <A HREF="http://download.intel.com/design/intarch/manuals/24319101.pdf">here</A>. 
       
   281   Two assemblers for the JVM are described <A HREF="http://jasmin.sourceforge.net">here</A>
       
   282   and <A HREF="https://github.com/Storyyeller/Krakatau">here</A>.
       
   283   An interesting twist of this project is to not generate code for a CPU, but
       
   284   for the intermediate language of the <A HREF="http://llvm.org">LLVM</A> compiler
       
   285   (also described <A HREF="http://llvm.org/docs/LangRef.html">here</A>). If you want to see
       
   286   what machine code looks like you can compile your C-program using gcc -S.
       
   287   </p>
       
   288   <p>
       
   289   If JavaScript is chosen as a target instead, then there are plenty of <A HREF="http://www.w3schools.com/js/">tutorials</A> on the Web.
       
   290   <A HREF="http://jsbooks.revolunet.com">Here</A> is a list of free books on JavaScript.
       
   291   A project from which you can draw inspiration is this
       
   292   <A HREF="http://jlongster.com/Outlet--My-Lisp-to-Javascript-Experiment">Lisp-to-JavaScript</A>
       
   293   translator. <A HREF="https://bitbucket.org/ktg/parenjs/overview">Here</A> is another such project.
       
   294   And <A HREF="https://github.com/viclib/liscript">another</A> in less than 100 lines of code.
       
   295   <A HREF="http://en.wikipedia.org/wiki/CoffeeScript">Coffeescript</A> is a similar project
       
   296   except that it is already quite <A HREF="http://coffeescript.org">mature</A>. And finally not to
       
   297   forget <A HREF="http://www.typescriptlang.org">TypeScript</A> developed by Microsoft. The main
       
   298   difference between these projects and this one is that they translate into relatively high-level
       
   299   JavaScript code; none of them use the much lower levels <A HREF="http://asmjs.org">asm.js</A> and 
       
   300   <A HREF="https://github.com/kripken/emscripten/wiki">emscripten</A>.
       
   301   </p>
       
   302   <p>
       
   303   <B>Skills:</B> 
       
   304   This is a project for a student with a deep interest in programming languages and
       
   305   compilers. Since my compiler is implemented in <A HREF="http://www.scala-lang.org/">Scala</A>,
       
   306   it would make sense to continue this project in this language. I can be
       
   307   of help with questions and books about <A HREF="http://www.scala-lang.org/">Scala</A>.
       
   308   But if Scala is a problem, my code can also be translated quickly into any other functional
       
   309   language. Again,  it will be of great help for this project to take part in
       
   310   my Compiler and Formal Language module (6CCS3CFL).
       
   311   </p>
       
   312 
       
   313   <p>
       
   314   <B>PS:</B> Compiler projects consistently received high marks in the past.
       
   315   I have supervised eight so far and most of them received a mark above 70% - one even was awarded a prize.
       
   316   </p>
       
   317 
       
   318 <li> <H4>[CU3] Slide-Making in the Web-Age</H4>
       
   319 
       
   320   <p>
       
   321   The standard technology for writing scientific papers in Computer Science  is to use
       
   322   <A HREF="http://en.wikipedia.org/wiki/LaTeX">LaTeX</A>, a document preparation
       
   323   system originally implemented by <A HREF="http://en.wikipedia.org/wiki/Donald_Knuth">Donald Knuth</A>
       
   324   and <A HREF="http://en.wikipedia.org/wiki/Leslie_Lamport">Leslie Lamport</A>.
       
   325   LaTeX produces very pleasantly looking documents, can deal nicely with mathematical
       
   326   formulas and is very flexible. If you are interested, <A HREF="http://openwetware.org/wiki/Word_vs._LaTeX">here</A>
       
   327   is a side-by-side comparison between Word and LaTeX (which LaTeX &ldquo;wins&rdquo; with 18 out of 21 points).
       
   328   Computer scientists not only use LaTeX for documents,
       
   329   but also for slides (really, nobody who wants to be cool uses Keynote or Powerpoint).
       
   330   </p>
       
   331 
       
   332   <p>
       
   333   Although used widely, LaTeX seems nowadays a bit dated for producing
       
   334   slides. Unlike documents, which are typically &ldquo;static&rdquo; and published in a book or journal,
       
   335   slides often contain changing contents that might first only be partially visible and
       
   336   only later be revealed as the &ldquo;story&rdquo; of a talk or lecture demands.
       
   337   Also slides often contain animated algorithms where each state in the
       
   338   calculation is best explained by highlighting the changing data.
       
   339   </p>
       
   340 
       
   341   <p>
       
   342   It seems HTML and JavaScript are much better suited for generating
       
   343   such animated slides. This <A HREF="http://www.impressivewebs.com/html-slidedeck-toolkits/">page</A>
       
   344   links to slide-generating programs using this combination of technologies. 
       
   345   However, the problem with all of these project is that they depend heavily on the users being
       
   346   able to write JavaScript, CCS or HTML...not something one would like to depend on given that
       
   347   &ldquo;normal&rdquo; users likely only have a LaTeX background. The aim of this project is to invent a
       
   348   very simple language that is inspired by LaTeX and then generate from code written in this language
       
   349   slides that can be displayed in a web-browser. An example would be the
       
   350   <A HREF="https://www.madoko.net">Madoko</A> project.
       
   351   </p>
       
   352 
       
   353  <p>
       
   354  This sounds complicated, but there is already some help available:
       
   355  <A HREF="http://www.mathjax.org">Mathjax</A> is a JavaScript library that can
       
   356  be used to display mathematical text, for example</p>
       
   357 
       
   358  <blockquote>
       
   359  <p>When \(a \ne 0\), there are two solutions to \(ax^2 + bx + c = 0\) and they are
       
   360  \(x = {-b \pm \sqrt{b^2-4ac} \over 2a}\).</p>
       
   361  </blockquote>
       
   362 
       
   363  <p> 
       
   364  by writing code in the familiar LaTeX-way. This can be reused.
       
   365  Another such library is <A HREF="http://khan.github.io/KaTeX/">KaTeX</A>.
       
   366  There are also plenty of JavaScript
       
   367  libraries for graphical animations (for example
       
   368  <A HREF="http://raphaeljs.com">Raphael</A>,
       
   369  <A HREF="http://svgjs.com">SVG.JS</A>,
       
   370  <A HREF="http://bonsaijs.org">Bonsaijs</A>,
       
   371  <A HREF="http://jsxgraph.uni-bayreuth.de/wp/">JSXGraph</A>). The inspiration for how the user should be able to write
       
   372  slides could come from the LaTeX packages <A HREF="http://en.wikipedia.org/wiki/Beamer_(LaTeX)">Beamer</A>
       
   373  and <A HREF="http://en.wikipedia.org/wiki/PGF/TikZ">PGF/TikZ</A>. A slide-making project from which
       
   374  inspiration can be drawn is <A HREF="http://maciejczyzewski.me/hyhyhy/">hyhyhy</A>.
       
   375  </p>
       
   376 
       
   377   <p>
       
   378   <B>Skills:</B> 
       
   379   This is a project that requires good knowledge of JavaScript. You need to be able to
       
   380   parse a language and translate it to a suitable part of JavaScript using
       
   381   appropriate libraries. Tutorials for JavaScript are <A HREF="http://www.w3schools.com/js/">here</A>.
       
   382   A parser generator for JavaScript is <A HREF="http://pegjs.majda.cz">here</A>. There are probably also
       
   383   others. If you want to avoid JavaScript there are a number of alternatives: for example the
       
   384   <A HREF="http://elm-lang.org">Elm</A>
       
   385   language has been especially designed for implementing interactive animations, which would be
       
   386   very convenient for this project. A nice slide making project done by a previous student is 
       
   387   <A HREF="http://www.markslides.org">MarkSlides</A> by Oleksandr Cherednychenko. 
       
   388   </p>
       
   389 
       
   390 <li> <H4>[CU4] Raspberry Pi's and Arduinos</H4>
       
   391 
       
   392   <p>
       
   393   <B>Description:</B>
       
   394   This project is for true hackers! <A HREF="http://en.wikipedia.org/wiki/Raspberry_Pi">Raspberry Pi's</A>
       
   395   are small Linux computers the size of a credit-card and only cost &pound;26, the
       
   396   simplest version even costs only &pound;5 (see pictures on the left below). They were introduced
       
   397   in 2012 and people went crazy...well some of them. There is a
       
   398   <A HREF="https://plus.google.com/communities/113390432655174294208?hl=en">Google+</A>
       
   399   community about Raspberry Pi's that has more
       
   400   than 300k of followers. A similar number follow the corresponding <A HREF="https://www.facebook.com/raspberrypi/">group</A>
       
   401   on Facebook. It is hard to keep up with what people do with these small computers. The possibilities
       
   402   seem to be limitless. The main resource for Raspberry Pi's is <A HREF="http://www.raspberrypi.org">here</A>.
       
   403   There are <A HREF="https://www.raspberrypi.org/magpi/">magazines</A> dedicated to them and tons of
       
   404   <A HREF="http://www.raspberrypi.org/phpBB3/viewforum.php?f=39">books</A> (not to mention
       
   405   floods of <A HREF="https://www.google.co.uk/search?q=raspberry+pi">online</A> material,
       
   406   such as the <A HREF="https://www.raspberrypi.org/magpi-issues/Projects_Book_v1.pdf">RPi projects book</A>).
       
   407   Google just released a
       
   408   <A HREF="http://googlecreativelab.github.io/coder/">framework</A>
       
   409   for web-programming on Raspberry Pi's turning them into webservers.
       
   410   In my home one Raspberry Pi has the very important task of automatically filtering out
       
   411   nearly all advertisments using the 
       
   412   <A HREF="https://github.com/pi-hole/pi-hole">Pi-Hole</A> software
       
   413   (you cannot imagine what difference this does to your web experience).
       
   414   </p>
       
   415 
       
   416   <p>
       
   417   <A HREF="http://en.wikipedia.org/wiki/Arduino">Arduinos</A> are slightly older (from 2005) but still very cool (see picture on the right below). They
       
   418   are small single-board micro-controllers that can talk to various external gadgets (sensors, motors, etc). Since Arduinos
       
   419   are open-software and open-hardware there are many clones and add-on boards. Like for the Raspberry Pi, there
       
   420   is a lot of material <A HREF="https://www.google.co.uk/search?q=arduino">available</A> about Arduinos.
       
   421   The main reference is <A HREF="http://www.arduino.cc">here</A>. Like the Raspberry Pi's, the good thing about
       
   422   Arduinos is that they can be powered with simple AA-batteries.
       
   423   </p>
       
   424 
       
   425   <p>
       
   426   I have several Raspberry Pi's including wifi-connectors and two <A HREF="http://www.raspberrypi.org/camera">cameras</A>.
       
   427   I also have two <A HREF="http://www.freaklabs.org/index.php/Blog/Store/Introducing-the-Freakduino-Chibi-An-Arduino-based-Board-For-Wireless-Sensor-Networking.html">Freakduino Boards</A> that are Arduinos extended with wireless communication. I can lend them to responsible
       
   428   students for one or two projects. However, the aim is to first come up with an idea for a project. Popular projects are
       
   429   automated temperature sensors, network servers, robots, web-cams (<A HREF="http://www.secretbatcave.co.uk/electronics/shard-rain-cam/">here</A>
       
   430   is a <A HREF="http://www.raspberrypi.org/archives/3547">web-cam</A> directed at the Shard that can
       
   431   <A HREF="http://www.secretbatcave.co.uk/software/shard-rain-cam-quantifying-cloudy/">tell</A>
       
   432   you whether it is raining or cloudy). There are plenty more ideas listed
       
   433   <A HREF="http://www.raspberrypi.org/phpBB3/viewforum.php?f=15">here</A> for Raspberry Pi's and
       
   434   <A HREF="http://playground.arduino.cc/projects/ideas">here</A> for Arduinos.
       
   435   </p>
       
   436 
       
   437   <p>
       
   438   There are essentially two kinds of projects: One is purely software-based. Software projects for Raspberry Pi's are often
       
   439   written in <A HREF="http://www.python.org">Python</A>, but since these are Linux-capable computers any other
       
   440   language would do as well. You can also write your own operating system as done
       
   441   <A HREF="http://www.cl.cam.ac.uk/projects/raspberrypi/tutorials/os/">here</A>. For example the students
       
   442   <A HREF="http://www.recantha.co.uk/blog/?p=4918">here</A> developed their own bare-metal OS and then implemented
       
   443   a chess-program on top of it (have a look at their very impressive
       
   444   <A HREF="http://www.youtube.com/watch?v=-03bouPsfEQ&amp;feature=player_embedded">youtube</A> video).
       
   445   The other kind of project is a combination of hardware and software; usually attaching some sensors
       
   446   or motors to the Raspberry Pi or Arduino. This might require some soldering or what is called
       
   447   a <A HREF="http://en.wikipedia.org/wiki/Breadboard">bread-board</A>. But be careful before choosing a project
       
   448   involving new hardware: these devices
       
   449   can be destroyed (if &ldquo;Vin connected to GND&rdquo; or &ldquo;drawing more than 30mA from a GPIO&rdquo;
       
   450   does not make sense to you, you should probably stay away from such a project). 
       
   451   </p>
       
   452 
       
   453   <center>
       
   454     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   455          src="http://upload.wikimedia.org/wikipedia/commons/3/3d/RaspberryPi.jpg"
       
   456          alt="Raspberry Pi"
       
   457          width="313" height="209">
       
   458 
       
   459     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   460          src="https://upload.wikimedia.org/wikipedia/commons/7/7e/Raspberry-Pi-Zero-FL.jpg"
       
   461          alt="Raspberry Pi Zero"
       
   462          width="313" height="209">  
       
   463 
       
   464     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   465          src="http://upload.wikimedia.org/wikipedia/commons/3/38/Arduino_Uno_-_R3.jpg"
       
   466          alt="Arduino"
       
   467          width="240" height="209">
       
   468   </center>
       
   469   
       
   470 
       
   471   <p>
       
   472   <B>Skills:</B> 
       
   473   Well, you must be a hacker; happy to make things. Your desk might look like the photo below on the left.
       
   474   The photo below on the middle shows an earlier student project which connects wirelessly a wearable Arduino (packaged
       
   475   in a "self-3d-printed" watch) to a Raspberry Pi seen in the background. The Arduino in the foreground takes
       
   476   measurements of 
       
   477   heart rate and body temperature; the Raspberry Pi collects this data and makes it accessible via a simple
       
   478   web-service. The picture on the right is another project that implements an airmouse using an Arduino.
       
   479 
       
   480   <center>
       
   481     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   482          src="https://nms.kcl.ac.uk/christian.urban/rpi-photo.jpg"
       
   483          alt="Raspberry Pi"
       
   484          width="209" height="313">
       
   485 
       
   486     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   487          src="https://nms.kcl.ac.uk/christian.urban/rpi-watch.jpg"
       
   488          alt="Raspberry Pi"
       
   489          width="450" height="254">
       
   490 
       
   491     <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;"
       
   492          src="https://nms.kcl.ac.uk/christian.urban/rpi-airmouse.jpg"
       
   493          alt="Raspberry Pi"
       
   494          width="250" height="254">  
       
   495   </center><p>
       
   496 
       
   497 
       
   498     A really cool project using a toy helicopter and two Raspberry Pi's was done by Nikolaos Kyknas. He transformed
       
   499     an off-the-shelf toy helicopter into an autonomous flying machine. He attached a Raspberry Pi Zero and an ultrasound
       
   500     sensor to the helicopter for measuring the distance from ground. Another Raspberry Pi is attached to the &ldquo;ground control
       
   501     unit&rdquo; in order to give instructions to the throttle of the helicopter. Both Raspberry Pi's communicate over WiFi for calculating
       
   502     the next flight instruction. The goal is to find and maintain a steady altitude. Sounds simple? Well, not so fast! 
       
   503     First you need to get the balance of the helicopter plus Raspberry Pi plus its power source just right,
       
   504     otherwise the helicopter will simply take off in random directions. Also the flight instructions need to be just right,
       
   505     otherwise the helicopter would at best &ldquo;oscillate&rdquo; around the set altitude, but never be steady. To solve this problem, 
       
   506     Nikolaos used exactly the same algorithm that keeps cars at a steady pace when in cruise control. 
       
   507 
       
   508     <center>
       
   509       <video width="320" height="576" controls>
       
   510         <source src="https://nms.kcl.ac.uk/christian.urban/h1.mp4" type="video/mp4">
       
   511           Your browser does not support the video tag.
       
   512       </video>
       
   513       <video width="320" height="576" controls>
       
   514         <source src="https://nms.kcl.ac.uk/christian.urban/h3.mp4">
       
   515           Your browser does not support the video tag.
       
   516       </video>
       
   517     </center>  
       
   518 
       
   519 <li> <H4>[CU7] An Infrastructure for Displaying and Animating Code in a Web-Browser</H4>
       
   520   
       
   521 <p>
       
   522   <B>Description:</B>
       
   523   The project aim is to implement an infrastructure for displaying and
       
   524   animating code in a web-browser. The infrastructure should be agnostic
       
   525   with respect to the programming language, but should be configurable.
       
   526   I envisage something smaller than the projects 
       
   527   <A HREF="http://www.pythontutor.com">here</A> (for Python),
       
   528   <A HREF="http://ideone.com">here</A> (for Java),
       
   529   <A HREF="http://codepad.org">here</A> (for multiple languages),
       
   530   <A HREF="http://www.w3schools.com/html/tryit.asp?filename=tryhtml_intro">here</A> (for HTML)
       
   531   <A HREF="http://repl.it/languages/JavaScript">here</A> (for JavaScript),
       
   532   and <A HREF="http://www.scala-tour.com/#/welcome">here</A> (for Scala).
       
   533   </p>
       
   534 
       
   535   <p>
       
   536   The tasks in this project are being able (1) to lex and parse languages and (2) to write an interpreter.
       
   537   The goal is to implement this as much as possible in a language-agnostic fashion.
       
   538   </p>
       
   539 
       
   540   <p>
       
   541   <B>Skills:</B> 
       
   542   Good skills in lexing and language parsing, as well as being fluent with web programming (for
       
   543   example JavaScript).
       
   544   </p>
       
   545 
       
   546 
       
   547 <li> <H4>[CU8] Proving the Correctness of Programs</H4>
       
   548 
       
   549  <p>
       
   550  I am one of the main developers of the interactive theorem prover
       
   551  <A HREF="http://isabelle.in.tum.de">Isabelle</A>. This theorem prover
       
   552  has been used to establish the correctness of some quite large
       
   553  programs (for example an <A HREF="http://ertos.nicta.com.au/research/l4.verified/">operating system</A>).
       
   554  Together with colleagues from Nanjing, I used this theorem prover to establish the correctness of a
       
   555  scheduling algorithm, called
       
   556  <A HREF="http://en.wikipedia.org/wiki/Priority_inheritance">Priority Inheritance</A>,
       
   557  for real-time operating systems. This scheduling algorithm is part of the operating
       
   558  system that drives, for example, the 
       
   559  <A HREF="http://en.wikipedia.org/wiki/Mars_Exploration_Rover">Mars rovers</A>.
       
   560  Actually, the very first Mars rover mission in 1997 did not have this
       
   561  algorithm switched on and it almost caused a catastrophic mission failure (see
       
   562  this youtube video <A HREF="http://www.youtube.com/watch?v=lyx7kARrGeM">here</A>
       
   563  for an explanation what happened).
       
   564  We were able to prove the correctness of this algorithm, but were also able to
       
   565  establish the correctness of some optimisations in this
       
   566  <A HREF="https://nms.kcl.ac.uk/christian.urban/Publications/pip.pdf">paper</A>.
       
   567  </p>
       
   568 
       
   569  <p>On a much smaller scale, there are a few small programs and underlying algorithms where it
       
   570  is not really understood whether they always compute a correct result (for example the
       
   571  regular expression matcher by Sulzmann and Lu in project [CU1]). The aim of this
       
   572  project is to completely specify an algorithm in Isabelle and then prove it correct (that is,
       
   573  it always computes the correct result).
       
   574 </p>
       
   575 
       
   576   <p>
       
   577   <B>Skills:</B> 
       
   578   This project is for a very good student with a knack for theoretical things and formal reasoning.
       
   579   </p>
       
   580 
       
   581 <li> <H4>[CU9] Anything Security Related that is Interesting</H4>
       
   582   
       
   583 <p>
       
   584 If you have your own project that is related to security (must be
       
   585 something interesting), please propose it. We can then have a look
       
   586 whether it would be suitable for a project.
       
   587 </p>
       
   588 
       
   589 <li> <H4>[CU10] Anything Interesting in the Areas</H4>
       
   590   
       
   591 <ul>
       
   592 <li><A HREF="http://elm-lang.org">Elm</A> (a reactive functional language for animating webpages; have a look at the cool examples, or <A HREF="http://pragmaticstudio.com/blog/2014/12/19/getting-started-with-elm">here</A> for an introduction)
       
   593 <li><A HREF="http://www.smlserver.org/smltojs/">SMLtoJS</A> (a ML compiler to JavaScript; or anything else related to
       
   594   sane languages that compile to JavaScript)
       
   595 <li>Any statistical data related to Bitcoins (in the spirit of this
       
   596 <A HREF="http://people.csail.mit.edu/spillai/data/papers/bitcoin-transaction-graph-analysis.pdf">paper</A> or
       
   597   this <A HREF="https://eprint.iacr.org/2012/584.pdf">one</A>; this will probably require some extensive C knowledge or any
       
   598   other heavy-duty programming language)
       
   599 <li>Anything related to programming languages and formal methods (like
       
   600   <A HREF="http://matt.might.net/articles/intro-static-analysis/">static program analysis</A>)  
       
   601 <li>Anything related to low-cost, hands-on hardware like Raspberry Pi, Arduino,
       
   602   <A HREF="http://en.wikipedia.org/wiki/Cubieboard">Cubieboard</A>
       
   603 <li>Anything related to unikernel operating systems, like
       
   604   <A HREF="http://www.xenproject.org">Xen</A> or
       
   605   <A HREF="http://www.openmirage.org">Mirage OS</A>
       
   606 <li>Any kind of applied hacking, for example the Arduino-based keylogger described
       
   607    <A HREF="http://samy.pl/keysweeper/">here</A>
       
   608 <li>Anything related to code books, like this
       
   609    <A HREF="http://www.joelotter.com/kajero/">one</A>
       
   610 </ul>
       
   611 
       
   612 
       
   613 
       
   614 <li> <H4>Earlier Projects</H4>
       
   615 
       
   616  I am also open to project suggestions from you. You might find some inspiration from my earlier projects:
       
   617  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-12.html">BSc 2012/13</A>, 
       
   618  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-12.html">MSc 2012/13</A>, 
       
   619  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-13.html">BSc 2013/14</A>,
       
   620  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-13.html">MSc 2013/14</A>, 
       
   621  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-14.html">BSc 2014/15</A>,
       
   622  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-14.html">MSc 2014/15</A>, 
       
   623  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-15.html">BSc 2015/16</A>,
       
   624  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-15.html">MSc 2015/16</A>, 
       
   625  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-16.html">BSc 2016/17</A>,
       
   626  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-16.html">MSc 2016/17</A>,
       
   627  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-17.html">BSc 2017/18</A>,
       
   628  <A HREF="https://nms.kcl.ac.uk/christian.urban/msc-projects-17.html">MSc 2017/18</A>,
       
   629  <A HREF="https://nms.kcl.ac.uk/christian.urban/bsc-projects-18.html">BSc 2018/19</A>
       
   630 </ul>
       
   631 </TD>
       
   632 </TR>  
       
   633 </TABLE>
       
   634         
       
   635 <P>
       
   636 2018-09-24 12:12:35 by Christian Urban
       
   637 <a href="https://validator.w3.org/check/referer">[Validate this page.]</a>
       
   638 </P>
       
   639 </BODY>
       
   640 </HTML>
       
   641  
       
   642  
       
   643