Doctoral Examination Procedures for students

All students who enter the Doctoral Program of the Department of Computer Science starting with Fall 1999 shall follow the following procedures.
Preliminary Examination

1. All doctoral students must pass the Preliminary Examination no later than the fourth semester after the initial registration in the doctoral program.
   
2. Students are allowed to attempt the exam twice and must pass in all three subject areas in order to pass the exam.
   - Students must take the exam in all three subject areas in the first attempt.
   - To pass in the first attempt, the student must pass each of the three subject areas; otherwise, the student fails.
   - Students who fail in the first attempt are allowed a second attempt in which they need to retake the exam only in the area(s) that they failed in the first attempt. To pass the second attempt, the student must pass each of the repeated areas; otherwise, the student fails the second attempt, and will then be dismissed from the program.
   - Students may petition for a third attempt.
   
3. The Preliminary Examination is a written in-class, closed-book examination, given during the fall and spring semesters typically on the last Friday before the reading period.
   - The duration of the Preliminary Examination is 6 hours plus 1½ hours of break time.
   
4. The exam consists of three subject areas based on the material in the core curriculum (CS210, CS211, CS212).
   - In each subject area, students must answer two questions out of three given questions during a 2-hour period. If three answers are submitted, the best two results will be considered. Each question weighs 50%.
   - The cut-off point for passing each area is 70% without curving.
   - The examination schedule is
   
   9:30AM-11:30:AM: Software
   11:30AM-12:30PM: Break
   12:30PM-2:30PM: Architecture
   2:30PM-3:00PM: Break
   3:00PM-5:00PM: Algorithms

• CS 210 - Fact Sheet/FAQ for Doctoral Prelim Exam
• CS 211 - Fact Sheet/FAQ for Doctoral Prelim Exam
• CS 212 - Fact Sheet/FAQ for Doctoral Prelim Exam
• Sample Exam

New Doctoral Qualifying Examination (DQE)
Part I

1. The Doctoral Qualifying Examination, Part I, shall be taken after the student has successfully passed the Preliminary Examination.
2. The student's advisor, with the approval of the department chairperson, shall appoint a committee consisting of at least 3 full-time faculty of the department. The written part of the examination shall be constructed and graded by the examination committee.
3. The examination is a written take-home examination, which lasts for 7 days and is composed of several questions in the students major area of study and supporting minor areas. The examination is open notes and books.
4. After assessing the student's performance on the written examination, the examining committee may administer an oral portion of the examination. The examining committee reports its findings to the faculty of the Department.

Part II: Thesis Proposal Exam

1. After passing the DQE Part I, the student takes the DQE Part II.
2. The student's research advisor, with the approval of the Department Chairperson, shall appoint an examining committee consisting of at least 3 full-time faculty of the Department.
3. The student shall submit a research proposal in the style of a dissertation to the members of the committee.
4. The examining committee shall evaluate the proposal and conduct an oral examination of the student to determine the readiness of the student to attempt such research. The committee shall convey its recommendation of pass/fail of the DQE Part II to the faculty of the Department.

Technical Reports

Browse reports by year: [ ALL 2005 2006 2007 2008 2009 2010 ]
Browse reports by authors: [ ALL A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ]
Browse reports by title: [ ALL A B C D E F G H I J K L M N O P Q R S T U V W X Y Z ]

Recent technical reports
TR-GWU-CS-09-003	An information-theoretic approach for privacy protection in OLAP systems by Nan Zhang, Wei Zhao
TR-GWU-CS-09-002	On The Establishment of Defender’s Reputation Against Insider Attacks by Nan Zhang, Wei Yu, Xinwen Fu, Sajal K. Das
TR-GWU-CS-09-001	A comprehensive explanation of quantum mechanics: the keyword is 'interactive holography' by Simon Y Berkovich
TR-GWU-CS-08-001	An Operational Mechanism Featuring Gravity Amplification by Simon Berkovich
TR-GWU-CS-07-006	Ultimate irreversibility in the Universe: continuous holographic recording of every event and biological memory as a part of it by Simon Berkovich
TR-GWU-CS-07-005	On the Performance of Location-Centric Storage In Sensor Networks by Kai Xing, Xiuzhen Cheng, Jiang Li, Min Song
TR-GWU-CS-07-004	Localized Compromised Node Detection in Wireless Sensor Networks by Fang Liu, Xiuzhen Cheng, Liran Ma, Dechang Chen, David Hung-Chang Du
TR-GWU-CS-07-003	3D Underwater Sensor Network Localization by Amin Y. Teymorian, Wei Cheng, Liran Ma, Xiuzhen Cheng
TR-GWU-CS-07-002	RFC: A Robust and Fast Rate Control Scheme in IEEE 802.11 Wireless Networks by Yanxia Rong, Liran Ma, Amin Y. Teymorian, Xiuzhen Cheng, Hyeong-Ah Choi
TR-GWU-CS-07-001	How to Migrate to Internet Voting by Kim Lawson-Jenkins, Lance Hoffman
TR-GWU-CS-06-009	LKE: A Self-configuring Scheme for Location-aware Key Establishment in Wireless Sensor Networks by Fang Liu, Xiuzhen Cheng
TR-GWU-CS-06-008	iPAK: An In-Situ Pairwise Key Bootstrapping Scheme for Wireless Sensor Networks by Liran Ma, Xiuzhen Cheng, Fang Liu, Fengguang An, Jose Rivera
TR-GWU-CS-06-007	Connected Dominating Set by Xiuzhen Cheng, Feng Wang, Ding-Zhu Du
TR-GWU-CS-06-006	Integrating Admission Control and Scheduling for Quality Controlled Streaming Services in HSDPA Networks by J. S. Gomes, H.-A. Choi, J.-H. Kim, J. K. Sohn, H. I. Choi
TR-GWU-CS-06-005	Policy-Based QoS Aware Packet Scheduling for CDMA 1x Ev-DO by J. Hwang, M. T. Rafaei, H.-A. Choi, J.-H. Kim, J. K. Sohn, H. I. Choi
TR-GWU-CS-06-004	Scheduling Algorithms for Policy Driven QoS Support in HSDPA Networks by J. S. Gomes, M. Yun, H.-A. Choi, J.-H. Kim, J. K. Sohn, H. I. Choi
TR-GWU-CS-06-003	ARES: an Adaptively Re-optimizing Engine for Stream Query Processing by Joseph Gomes, Hyeong-Ah Choi
TR-GWU-CS-06-002	Channel Aware Scheduling in Wireless Networks by Amrinder Arora, Hyeong-Ah Choi
TR-GWU-CS-06-001	SeGrid: A Secure Grid Framework for Sensor Networks by Xiuzhen Cheng, Fang Liu, Fengguang An
TR-GWU-CS-05-004	Loop Trees for Directed Graphs and their Applications by W. Douglas Maurer

Research Groups in CS@GW

• Ada-Related Research and Resources -
  Follow the link to Ada related resources for students, teachers and Ada enthusiasts.
  
• Cyberspace Security and Policy Research Institute -
  The Emergence of Cyber Security Policy Research Institute as a global venue for communication, commerce, education and entertainment has blurred traditional political and organizational boundaries, made time zones irrelevant and erased language barriers. The Cyber Security Policy Research Institute carries out studies and hosts seminars that move society towards rational and informed discussion of these critical changes. CPI's mission is to encourage, promote, facilitate, and execute interdisciplinary research in areas related to the nexus of society and the Internet.
  
• GW Center for Networks Research -
  The GW Center for Networks Research is an interdisciplinary academic center dedicated to the development of quantitative and computer-based models and methods for the analysis, design, and optimization of communication networks. Research into today's complex communication systems requires a multi-disciplinary approach that combines the knowledge and methodologies of electrical engineering, computer science, and mathematical optimization - and the Center will bring these knowledge areas together.
  
• GW's Home of the 21st Century Research Lab -
  The Home of the 21st Century Research Lab is located at the Virginia Campus of The George Washington University. This lab represents an exciting partnership between private industry and a research university. It involves technical experts from industry, as well as GW professors, graduate and undergraduate students, all working together to explore new technologies that can improve the quality of everyday life.
  
• GW Institute for Biomedical Engineering -
  GWIBE is composed of approximatel 30 faculty from the School of Engineering and Applied Science and the School of Medicine and Health Sciences (approximately half from each). The mission of the institute is to maximize collaborations of the diverse and interdisciplinary efforts by groups and individuals involved in biomedical engineering through consolidation of resources under one umbrella. GWIBE is committed to achieving and maintaining the leadership in cutting-edge research and innovative education. The ultimate aim of GWIBE is to advance the quality of medical treatment and clinical outcomes, improve the quality of life for health care patients, and to reduce the cost of health care through advances in engineering and scientific applications in medicine. GWIBE has been recognized as one of seven Signature Program areas of excellence by the
  George Washington University.
  
• Human-Computer Interaction Group -
  View the different sub-fields being explored in Human-Computer Interaction, such as Human Interaction in Virtual Environments (HIVE), Interaction Techniquees and Devices, Eye Tracking etc. The HIVE problem is addressed using a holistic approach: Providing feedback to multiple senses in concert to improve the use of the high bandwidth that humans are capable of in real interactions. Virtual environment research is one of the areas that we see as having great promise as a technological framework for supporting simulation (e.g., surgical, military), collaboration, communication, and vizualization.
  
• Institute for Computer Graphics -
  The computer graphics program at GW pursues three overriding themes: interdisciplinary collaboration, applications to real-world problems, and above all, individual creativity. Research topics have spanned the spectrum of physics-based motion control, interpolation of motion captured data, haptic interaction devices and techniques, sound synthesis and synchronization, global illumination, and information exploration and visualization. The students who have gone through the programs can be found all over the world in academia, movie production, game companies, government organizations, research institutions, and private companies.
  
• Justice Information Technology Group -
  The group is dedicated to advancing research and education in the application of information technology to justice and public safety community. At the core of is a partnership between academic and industry made possible by close collaboration with IJIS Institute, a non-profit corporation dedicated to the successful implementation of integrated justice information systems nationwide. Activities of the group include research in application of information technology, evaluation of systems and technologies, demonstration of new information technologies and their integration, and education for practitioners related to justice information technology.
• Laboratory for Advanced Computer Applications in Medicine -
  (LACAM) was established jointly by SMHS and SEAS in 1995. It is co-directed by Prof. James Hahn, who represents SEAS, and Prof. Raymond Walsh, who represents SMHS. Seed funding from the two participating schools equipped LACAM, located in Staughton Hall, with initial computing equipment. The research activities in LACAM have concentrated primarily on the use of simulation and visualization for surgical training, planning, and computer guidance. Medical students participate in research projects alongside engineering students, thus enhancing their educational experiences.
  
• Motion Capture and Analysis Laboratory (MOCA) -
  The Motion Capture and Analysis (MOCA) Laboratory operates under the auspices of the Institute for Computer Graphics and in partnership with the Institute for Biomedical Engineering. MOCA provides the infrastructure, including laboratory space, equipment and support personnel, to enable researchers, educators, and clinicians across the University and the greater Washington D.C. area to capture, analyze, and apply digitized human motion for a variety of applications. The equipment consists of VICON Infrared motion capture equipment and associated computing equipment. The laboratory was made possible by the University Research Enhancement Fund and will be devoted to the study of human (and other) motion in science, art, engineering, and medicine.
  
• Project ALISA: Adaptive Learning Image and Signal Analysis -
  Based on Collective Learning Systems Theory developed by Professor Bock, a network of adaptive learning cells has been applied to a difficult image-processing task: the detection and classification of textures and structures in images and signals. Known as ALISA (Adaptive Learning Image and Signal Analysis), this parallel-processing engine has been constructed and tested at the Research Institute for Applied Knowledge Processing (FAW) in Ulm, Germany, and here at The George Washington University over the last four years.
  
• View Faculty Research Interests -
  Go to the Faculty listing to view individual research interests.