NASPAA offers paid internships for graduate students in its Washington, DC office. The number of positions and area of responsibility varies by semester, but each offers an exciting opportunity to work on projects and programs that will make an important and lasting contribution to public affairs education. NASPAA internships are especially well suited for students with an interest in higher education policy, nonprofit management, and public service.

Previous NASPAA interns have secured full-time positions in the federal government and nonprofit sector after graduation, including being selected as Presidential Management Fellows.

We currently have three graduate internship openings for Summer 2013

• Pi Alpha Alpha student ambassador
  
• Diversity in academia
  
• Quality assurance in public affairs education

At Northrop Grumman, our work with cutting-edge technology is driven by something human: the

lives our technology protects.  We’re united by our work to help people. And that mission makes our

team even stronger. 

Join us and you’ll be supported by training, employee resource groups, and our shared vision of global

security. We see the value of our performance every day. We are Northrop Grumman. And excellence is at the heart of what we do.

Attention Health IT students seeking an internship opportunity: Our Woodlawn, MD office is seeking

Health IT Technical College Interns who will be responsible for various entry-level technical responsibilities.

To be eligible for this internship opportunity, you must be currently enrolled in a relevant accredited

college/university degree program pursuing a Bachelor’s, Master’s, or PhD. Requirements include:

·        Must have a GPA of 3.0 or higher and are currently attending an accredited college/ university and

obtaining a degree in a technical discipline

·        Strong written and verbal communication skills

• Solid organizational abilities

·        MS Office proficiency

• Must be able to obtain a Position of Trust designation  

If you are a flexible self-starter looking for a challenging opportunity to work with a team of talented experts,here is your opportunity. It’s easy - apply to requisition #13001050 via the Students and New Grad portal located on our Careers page.

Check out other full time and internships on the  Students and New Grad portal today

**Please note you must be a US citizen to be considered 

UMBC's cyber defense team, the Cyber Dawgs, will host an interdisciplinary talk and screening of the film Game of Pawns at 7:00pm on Tuesday, April 30, 2013 in room 102 of the ITE building (LH8). The film is a true story of an American student who was recruited by the Chinese government to infiltrate a U.S. intelligence agency.

The event is sponsored and run by InfraGuard, an organization that acts as a partnership mediator between the FBI and US businesses. The talk will be nontechnical and will present an overview of the dangers that might arise when dealing with foreign businesses or representatives. It should be of interest to students considering studying abroad, pursuing international relations or business, or anticipating working for a government agency.

CSEE Colloquium

Queuing and Long Lines: How to run efficient elections

Dr. William A. Edelstein
Visiting Distinguished Professor of Radiology
Johns Hopkins School of Medicine

1:00pm Friday, 3 May 2013, ITE227, UMBC

Computerized touchscreen "Direct Recording Electronic" (DRE) voting systems have been used by over 1/3 of American voters in recent elections, including in Maryland. In many places, insufficient DRE numbers, in combination with lengthy ballots and high voter traffic, have caused long lines and disenfranchised voters who left without voting. We have applied computer queuing simulation to the voting process and conclude that far more DREs, at great expense, would be needed to keep waiting times low. Alternatively, paper ballot-optical scan systems can be easily and economically scaled to prevent long lines and meet unexpected contingencies. We have developed a heuristic "Queue Stop Rule" that can be applied to prevent long lines at voting stations. We have also carried out queuing simulations of other parts of the voting process, for example, voter check-in and ballot scanning. Our results can be used to help plan cost-effective election systems that will produce expeditious elections.

William Edelstein, physicist, received BS and PhD degrees in that subject from University of Illinois and Harvard, respectively. His career has principally focused on the development of MRI, starting in Scotland in 1977 and continuing from 1980 at the GE research lab in Schenectady, NY. He has been Visiting Distinguished Professor of Radiology at Johns Hopkins School of Medicine since 2007. His MRI work has been recognized with many honors, including the 2005 Industrial Applications of Physics Prize from the American Institute of Physics. His interest in election systems began several years ago in NY State during the debate to replace lever voting machines.

MS Thesis Defense

Text and Ontology Driven
Clinical Decision Support System

Deepal Dhariwal

9:00am Tuesday 23 April 2013, ITE325b, UMBC

This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide clinically relevant information to the physicians. In the first phase, standard text pre processing techniques such as section tagging, dependency parsing, gazetteer lists are used filter clinical terms from the raw data.

In the second phase, a domain specific medical ontology is used to establish relation between the extracted clinical terms. The output of this phase is a Resource Description Framework KB that stores all possible medical facts about the patient. In the final phase, an OWL reasoner and clinical rules are used to infer additional facts about patient and generate a richer KB. This KB can then be queried for a variety of clinical tasks. To demonstrate a proof of concept of this framework, we have used discharge summaries from the cardiovascular domain and determined the TIMI Risk Score and San Francisco Syncope Score for a patient. The goal of this research is to combine factual knowledge about patients, procedural knowledge (clinical rules), and structured knowledge (medical ontologies) to develop a clinical decision support system.

Committee: Dr. Anupam Joshi (chair), Dr. Michael Grasso, Dr. Tim Finin, Dr. Yelena Yesha

MS Thesis Defense

Text and Ontology Driven
Clinical Decision Support System

Deepal Dhariwal

9:00am Tuesday 23 April 2013, ITE325b, UMBC

This thesis discusses our ongoing research in the domain of text and ontology driven clinical decision support system. The proposed framework uses text analytics to extract clinical entities from electronic health records and semantic web analytics to generate a domain specific knowledge base (KB) of patients’ clinical facts. Clinical Rules expressed in the Semantic Web Language OWL are used to reason over the KB to infer additional facts about the patient. The KB is then queried to provide clinically relevant information to the physicians. In the first phase, standard text pre processing techniques such as section tagging, dependency parsing, gazetteer lists are used filter clinical terms from the raw data.

In the second phase, a domain specific medical ontology is used to establish relation between the extracted clinical terms. The output of this phase is a Resource Description Framework KB that stores all possible medical facts about the patient. In the final phase, an OWL reasoner and clinical rules are used to infer additional facts about patient and generate a richer KB. This KB can then be queried for a variety of clinical tasks. To demonstrate a proof of concept of this framework, we have used discharge summaries from the cardiovascular domain and determined the TIMI Risk Score and San Francisco Syncope Score for a patient. The goal of this research is to combine factual knowledge about patients, procedural knowledge (clinical rules), and structured knowledge (medical ontologies) to develop a clinical decision support system.

Committee: Dr. Anupam Joshi (chair), Dr. Michael Grasso, Dr. Tim Finin, Dr. Yelena Yesha