David J. Malan

** ****** ****** ********* ** ****8 USA +1-617-***-****

abo3bu@r.postjobfree.com

http://www.cs.harvard.edu/malan/

education Harvard University, School of Engineering and Applied Sciences 20022007

Doctor of Philosophy (Ph.D.), Compu ter Science. Research in cybersecurity and digital

forensics with

focus on detection of patterns in large datasets. Dissertation on Rapid Detection of

Botnets through

Collaborative Networks of Peers . Advised by Dean Michael D. Smith.

Harvard University, Graduate School of Arts and Sciences 2002 2004

Master of Science (S.M.), Computer Science. Research in sensor networks for emergency

medical care.

Harvard College 19951999

Bachelor of Arts (A.B.), cum laude, Computer Science; 3.9 of 4.0 GPA in field. Studies in

micro- and

macro-economics, finance, statistics and probability theory, multivariate calculus, and

linear algebra.

service American Red Cross, Disaster Services 2003

Emergency Medical Technician (EMT) . Provide emergency medical care at local events.

startups Diskaster ! 2005 2008

Founder. Started company that offered professional recovery of data from hard drives and

memory cards

as well as forensic investigations for civil matters.

Crimson Tutors20052007

Founder. Started company that provided area students with academic tutors from Harvard

and MIT.

Managed all finances and oversaw 40 tutors.

experience

Harvard University, School of Engineering and Applied Sciences 2007

Senior Lecturer on Computer Science, Director of Educational Innovation. Voting member of

the Faculty of Arts and

Sciences with Principal Investigator privileges. Instructor for second-largest course at

Harvard College,

Computer Science 50: Introduction to Computer Science I. Grew enrollment from 132

students to 607 (+360%).

Manage staff of 101 teaching fellows and course assistants. OpenCourseWare at

http://cs50.tv/.

Mindset Media, LLC20082011Chief Information Officer (CIO). Responsible for advertising network s scalability,

security, and capacity-

planning. Designed infrastructure for collection of massive datasets capable of 500M HTTP

hits per day

with peaks of 10K per second. Acquired by Meebo, Inc.

Office of the Middlesex District Attorney, Special Investigations Division 2005

Forensic Investigator. Assisted police and prosecutors with criminal investigations.

Conducted forensic analyses

of seized hardware. Recovered deleted and damaged data as evidence for trials. Drafted

subpoenas.

AirClic Inc. 20002001Engineering Manager. First technical hire of wireless startup, chaired by American

Express s Harvey Golub

and backed by $290M in class-B funding. Direct report to CTO. Built software -development

and

product-management teams. Drafted and managed all patents.

Harvard University, Division of Continuing Education 1998

Lecturer. Youngest instructor in Harvard Extension School s history; appointed while

still an

undergraduate. First instructor at university to podcast an entire course in audio and

video formats, free

to public. Podcast ranked best educational podcast by Wired Magazine and featured on

iTunes, with

over 10,000 subscribers at debut. OpenCourseWare at http://computerscience1.tv/.

languages C, C++, C#, CSS, DTD, HTML, Java, JavaScript, LISP, NesC, Objective-C, Perl,

PHP, SQL, SVG,

VBScript, XHTML, XML Schema, XPath, XQuery, XSLT.English, Spanish, Italian.

Education.

Milwaukee, Wisconsin. March 2010 .

Scratch for Budding Computer Scientists. David J. Malan and Henry H. Leitn er. 38th

Annual ACM Technical

Symposium on Computer Science Education. Covington, Kentucky. March 2007.

Virtualizing Office Hours in CS 50. David J. Malan. 14th Annual ACM Conference on

Innovation and

Technology in Computer Science Education. P aris, France. July 2009.

dissertation Rapid Detection of Botnets through Collaborative Networks of Peers. David J.

Malan. Ph.D. Thesis. Harvard

University, School of Engineering and Applied Sciences. Cambridge, Massachusetts. June

2007.

journals Implementing Public-Key Infrastructure for Sensor Networks . David J. Malan,

Matt Welsh, and Michael D. Smith.

ACM Transactions on Sensor Networks. Volume 4, Issue 4. November 2008.

posters CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care.

David Malan, Thaddeus R.F.

Fulford-Jones, Victor Shnayder, Breanne Duncan, Matt Welsh, Mark Gaynor, and Steve

Moulton.

Emerging Technology and Best Practices Seminar. Boston University. Boston, Massachusetts.

May

2004.

Quantitative Approaches to Software Security & Information Privacy. Rachel Greenstadt,

David J. Malan,

Stuart E. Schechter, and Michael D. Smith. National Science Foundation Cyber Trust Annual

Principal

Investigator Meeting. Newport Beach, California. September 2005.

Quantitative Approaches to Software Security & Information Privacy. Rachel Greenstadt,

David J. Malan,

Stuart E. Schechter, and Michael D. Smith. National Science Foundation Cyber Trust Annual

Principal

Investigator Meeting. Atlanta, Georgia. January 2007.

Vital Dust: Wireless sensors and a sensor network for real -time patient monitoring. Dan

Myung, Breanne Duncan,

David Malan, Matt Welsh, Mark Gaynor, and Steve Moulton. 8th Annual New England Regional

Trauma

Conference. Burlington, Massachusetts. November 2003.

reports Crypto for Tiny Objects. David Malan. Harvard University Technical Report TR -04-

04. January 2004.

Low-Power, Secure Routing for MICA2 Mote. Breanne Duncan and David Malan. Harvard

University

Technical Report TR-06-04. March 2004.

Summary Structures for XML. David Malan. Harvard University Technical Report TR-05-04.

March 2004.

David J. Malan / 3

talks A Public-Key Infrastructure for Key Distribution in TinyOS Based on Elliptic Curve

Cryptography . First IEEE

International Conference on Sensor and Ad hoc Communications and Networks. Santa Clara,

California

.

October 2004

.

Active Learning. Conversations@FAS, Harvard University. Cambridge, Massachusetts.

February 2011.

BMP Puzzles. Nifty Assignments, 41st ACM Technical Symposium on Computer Science

Education.

Milwaukee, Wisconsin. March 2010.

CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care.

International Workshop on

Wearable and Implantable Body Sensor Networks. Imperial College. London, United Kingdom.

April 2004.

CSI: Computer Science Investigation . Nifty Assignments, 41st ACM Technical Symposium on

Computer Science

Education. Milwaukee, Wisconsin. March 2010.

Exploiting Temporal Consistency to Reduce False Positives in Host-Based, Collaborative

Detection of Worms..

ACM Workshop on Recurring Malcode. Fairfax, Virginia. November 2006.

The Geek Shall Inherit the Earth. Harvard Thinks Big. Cambridge, Massachusetts. February

2010.

Grading Qualitatively with Tablet PCs in CS 50. David J. Malan. Workshop on the Impact of

Pen -Based

Technology on Education. Blacksburg, Virginia. October 2009.

Host-Based Detection of Worms through Peer -to-Peer Cooperation. ACM Workshop on Rapid

Malcode. Fairf ax,

Virginia. November 2005.

Moving CS50 into the Cloud . 15th Annual Conference of the Northeast Region of the

Consortium for

Computing Sciences in Colleges. Hartford, Connecticut. April 2010.

The New CS 50. Colloquium on Computer Science Pedagog y, Carnegie Mellon. Pittsburgh,

Pennsylvania.

October 2009.

One Big File Is Not Enough: A Critical Evaluation of the Dominant Free -Space

Sanitization Technique.

6th Workshop on Privacy Enhancing Technologies. Cambridge, United Kingdom. June 2006.

Podcasting Computer Science E-1. 38th ACM Technical Symposium on Computer Science

Education.

Covington, Kentucky. March 2007.

Podcasting E-1: It s All About Access. Podcast Academy at Boston University. Boston,

Massachusetts.

April 2006.

Rapid Detection of Botnets through Collaborative Networks of Peers . Final Oral

Examination. Harvard University,

School of Engineering and Applied Sciences. Cambridge, Massachusetts. May 2007.

Reinventing CS50. 41st ACM Technical Symposium on Computer Science Education. Milwaukee,

Wisconsin.

March 2010.

Scratch @ Harvard. Scratch@MIT Conference. Cambridge, Massachusetts. July 2008.

Scratch for Budding Computer Scientists. 38th ACM Technical Symposium on Computer Science

Education.

Covington, Kentucky. March 2007.

Teaching Computer Science in the Cloud. 2009 USENIX Annual Technical Conference. San

Diego, California.

June 2009.

Toward a Public-Key Infrastructure for Key Distribution in TinyOS Based on Elliptic Curve

Cryptography . Qualifying

Examination. Harvard University, School of Engineering and Applied Sciences. Cambridge,

Massachusetts. November 2004.

Toward PKI for Sensor Networks. BBN Technologies. Cambridge, Massachusetts. November

2004.

David J. Malan / 4

Usando a tecnologia efetivamente para melhorar o ensino de graduac!Ao. Critical Issues

and Strategies for Leaders of

Modern Universities. Cambridge, Massachusetts. April 2011.

Virtualizing Office Hours in CS 50 . 14th Annual ACM Conference on Innovation and

Technology in

Computer Science Education. Paris, France. July 2009.

tutorials Moving Your Course into the Cloud . 41st Annual ACM Technical Symposium on

Computer Science Education.

Milwaukee, Wisconsin. March 2010 .

Replacing Real Servers with Virtual Machin es Using Amazon Elastic Compute Cloud (EC2).

23rd Large Installation

System Administration Conference (LISA 09). Baltimore, Maryland. November 2009.

Replacing Real Servers with Virtual Machines Using Amazon Elastic Compute Cloud (EC2) and

Simple Stor age

Service (S3). 2009 USENIX Annual Technical Conference. San Diego, California. June 2009.

Starting with Scratch (literally) in CS 1 .

2007

Harvard College

Introduction to the intellectual enterprises of computer science and the art of

programming. This course

teaches students how to think algorithmically and solve problems efficiently. Topics

include abstraction,

algorithms, encapsulation, data structures, databases, memory management, security,

software development,

virtualization, and websites. Languages include C, PHP, and JavaScr ipt plus SQL, CSS,

and HTML. Problem

sets inspired by real-world domains of biology, cryptography, finance, forensics, and

gaming. Designed for

concentrators and non-concentrators alike, with or without prior programming experience.

Computer Science 164: Mobile Software Engineering 2012

Harvard College

Introduction to principles of software engineering for mobile devices and best practices,

including code

reviews, source control, and unit tests. Topics include Ajax, encapsulation, event

handling, HTTP, memory

management, MVC, object-oriented design, and user experience. Languages include HTML5,

JavaScript,

Objective-C, and PHP. Projects include mobile web apps and native iOS apps.

David J. Malan / 5

Computer Science 15: Data Structures 2002 2005

Tufts University

A second course in computer science. Data structures and algorithms are studied through

major programming

projects in the C++ programming language. Topics include linked lists, trees, graphs,

dynamic storage

allocation, and recursion.

Computer Science E-1: Understanding Computers and the Internet 1999

Harvard Extension School

This course is all about understanding: understanding what s going on inside your

computer when you flip on

the switch, why tech support has you constantly rebooting your computer, how everything

you do on the

Internet can be watched by others, and how your computer can become infected with a worm

just by being

turned on. Designed for students who use computers and the Internet every day but don t

fully understand

how it all works, this course fills in the gaps. Through lectures on hardware, software,

the Internet,

multimedia, security, privacy, website development, programming, and more, this course

takes the hood off

of computers and the Internet so that students understand how it all works and why.

Through discussions of

current events, students are exposed also to the latest technologies.

Computer Science E-75: Building Dynamic Websites 2008

Harvard Extension School

Today s websites are increasingly dynamic. Pages are no long er static HTML files but

instead generated by

scripts and database calls. User interfaces are more seamless, with technologies like

Ajax replacing traditional

page reloads. This course teaches students how to build dynamic websites with Ajax and

with Lin ux, Apache,

MySQL, and PHP (LAMP), one of today s most popular frameworks. Students learn how to set

up domain

names with DNS, how to structure pages with XHTML and CSS, how to program in JavaScript

and PHP,

how to configure Apache and MySQL, how to desig n and query databases with SQL, how to

use Ajax with

both XML and JSON, and how to build mashups. The course explores issues of security,

scalability, and

cross-browser support and also discusses enterprise -level deployments of websites,

including third-party

hosting, virtualization, colocation in data centers, firewalling, and load -balancing.

Computer Science E-76: Building Mobile Applications 2011

Harvard Extension School

Today s applications are increasingly mobile. Computers are no longer confined to desks

and laps but instead

live in our pockets and hands. This course teaches students how to build mobile apps for

Android and iOS,

two of today s most popular platforms, and how to deploy them in Android Market and the

App Store.

Students learn to write native apps for Android using Eclipse and the Android SDK, to

write native apps for

iPhones, iPod touches, and iPads using Xcode and the iOS SDK, and to write web apps for

both platforms.

Computer Science E-259: XML with Java, Java Servlet, and JSP 2004 2008

Harvard Extension School

This course introduces XML as a key enabling technology in Java -based applications.

Students learn the

fundamentals of XML and its derivatives, including DTD, SVG, XML Schema, XPath, XQuery,

XSL -FO, and

XSLT. Students also gain experience with programmatic interfaces to XML like SAX and DOM,

standard

APIs like JAXP and TrAX, and industry -standard software like Ant, Tomcat, Xerces, and

Xalan. The course

acquaints students with J2EE, including JavaServer Pages (JSP) and Java Servlet, and also

explores HTTP,

SOAP, web services, and WSDL. The course s projects focus on the implementation and

deployment of

these technologies.

Computer Science S-1: Great Ideas in Computer Science with Java 2003 2010

Harvard Summer School

This course is an introduction to the most important discoveries and intellectual

paradigms in computer

science, designed for students with little or no previous background. We explore problem -

solving methods

and algorithm development using such high-level programming languages as Java and

JavaScript. Students

learn how to design, code, debug, and document programs using techniques of good

programming style in a

Linux-based environment. This course presents an integrated view of computer systems,

from sw itching

circuits and machine language through compilers and GUI design. We examine theoretical

and practical

limitations related to unsolvable and intractable computational problems, and the social

and ethical dilemmas

presented by such issues as software unreliability and invasion of privacy.

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