Information Systems Department Seminar

Subjectivity and Social Role Recognition in Meetings

Theresa A. Wilson
Human Language Technology Center of Excellence
Johns Hopkins University

12 noon-1pm, Tue. 20 Nov. 2012, ITE459

Opinions, sentiments and other types of subjective content are an important part of any meeting. Meeting participants express pros and cons about ideas, they support or oppose decisions, and they make suggestions that may or may not be adopted. In this talk, I will present an annotation scheme for labeling subjective content in meetings, as well as experiments for recognizing subjective utterances and their polarity. Our experiments show that even very shallow linguistic features, such as n-grams of characters, can be effective for this task, and that the combination of classifiers using word, character, and phoneme n-grams yields the best result for subjective utterance recognition. Finally, I will discuss the application of subjectivity recognition to social role recognition in meetings.

Theresa Wilson is a research scientist working on opinion and sentiment analysis at the Johns Hopkins Human Language Technology Center of Excellence (HLTCOE). Before coming to Johns Hopkins, she completed her post-doctoral research as part of the AMIDA Project (www.amiproject.org) at the University of Edinburgh Human Communication Research Centre. She received her Ph.D. in Intelligent Systems from the University of Pittsburgh in 2008.

Ph.D. Thesis Defense Announcement

Data Intensive Scientific Compute Model for Multicore Clusters

Phuong Nguyen

10:00am 21 November 2012, ITE 325B

Data intensive computing holds the promise of major scientific breakthroughs and discoveries from the exploration and mining of the massive data sets becoming available to the science community. This expectation has led to tremendous increases in data intensive scientific applications. However, data intensive scientific applications still face severe challenges in accessing, managing and analyzing petabytes of data. In particular, workflow systems to support such scientific applications are not as efficient when dealing with thousands and even more of complex tasks within jobs that operate across high performance large multicore clusters with very large amounts of streaming data. Scheduling, it turns out, is an integral workflow component in the execution often of thousands or more tasks within a data intensive scientific application as well as in managing  the access and flow of many jobs to the available resource environment. Recently, MapReduce systems such as Hadoop, have proven successful for many business data intensive problems. However, there are still many limitations in the use of MapReduce systems for data-intensive scientific problems mainly because they do not support the characteristics of science such as data formats, specialized data analytic tools (e.g. math libraries), accuracies, and interfaces with non MapReduce components.

This thesis addresses some of these limitations by proposing a MapReduce workflow model and its runtime system using Hadoop for orchestrating MapReduce jobs for data intensive scientific workflows. Novel heuristic based scheduling algorithm is proposed in the workflow system to manage the parallel execution of data intensive scientific applications. This thesis has developed a hybrid MapReduce scheduling algorithm based on dynamic priorities, proportional resource sharing techniques that reduce delays for variable length concurrent tasks, and takes advantage of data locality. As a result, a new scheduling policy, Balanced Closer to Finish First (BCFF), is proposed as solutions for some problems of scheduling in MapReduce environment. The scheduling algorithm is implemented in Hadoop 1.0.1 framework and is available as a new Hadoop plug-in Scheduler. The evaluations of the workflow system on the climate data processing and analysis application (several TB dataset) show that it is feasible and significantly improved compared to traditional parallel processing method. The scientific results of the application provide new source of monitoring global climate changes for the near decade 2002-2011.

Thesis Committee:

• Prof. Milton Halem (Chair)
• Prof. Yelena Yesha (Co-Chair)
• Prof. Tim Finin
• Prof. Yaacov Yesha
• Prof. Tarek El-Ghazawi at George Washington University

Ph.D. Thesis Defense Announcement

A Decadal Gridded Hyperspectral Infrared Record for Climate
Sep 1st 2002 – Aug 31st 2012

David Chapman

2:00pm 20 November 2012, ITE 325B

We present a gridded Fundamental Decadal Data Record (FDDR) of Brightness Temperatures (BT) from the NASA EOS Atmospheric Infrared Sounder (AIRS) from ten years of hyperspectral Infrared Radiances onboard the NASA EOS Aqua satellite. We show that these results are consistent with the expected greenhouse forcings, and also discovered a drift of ~0.13K/decade in spectrum relative to 4 MODIS-Aqua for Global All-sky Brightness Temperatures. AIRS, operational on September 1, 2002 is the first successful hyperspectral satellite weather instrument of more than 1 year, as well as the longest running global IR hyperspectral measurement. Although global surface temperature data records are available for over 130 years, it was not until 1978 when the Microwave Sounding Unit (MSU) was the first instrument series to reliably monitor long-term trends of the upper atmosphere. The Atmospheric Infrared Sounder (AIRS) provides the first continuous global hyperspectral IR radiance data record from a single satellite for a decade. Our contribution, was to prepare a gridded data record from the AIRS Outgoing Longwave Spectrum (OLS). We have shown high correlations with the GISS global surface air temperatures as well as with the NOAA ONI index of El Niño phase. In addition, we have performed inter-annual inter-comparisons with the Moderate Resolution Spectroradiometer (MODIS) on the same satellite to examine the relative consistency of their calibrations. The comparisons of the two instruments for the 4µ spectral channels indicate an inter-annual warming of 0.13K per decade of AIRS more than MODIS. This relative decadal drift is small relative to inter-annual variability but on the order of historic surface temperature trends. In the 12µ window channels we see a relative constant difference of 0.01K over a decade. It is convenient to observe the climate variability by using monthly average lat-lon grid projections. The polar orbiting data projection to a lat-lon grid is a lossy process that invariably introduces aliasing artifacts and noise. We observed an exponential decay between the number of days averaged and the expected noise due to gridding. We have extended the Observation Coverage (Obscov) gridding algorithm, developed for the MODIS instrument that incorporates the Point Spread Function (PSF) and we show the Obscov gridding algorithm reduces the aliasing noise from AIRS grids by nearly 40% by comparing the spatial correlation of gridded MODIS IR data. We also show that the use of a circular approximate PSF is a sufficient representation to obtain the noise reduction of Obscov at the climate resolution 0.5×1 degree monthly average grids. We extended these spatial sampling methods to the AIRS Level 3 retrieval records for which quality filtering due to opaque clouds is an additional spatial sampling challenge. We correct for an observed dry bias in the AIRS Level 3 monthly average gridded moisture retrieval records by means of spatial interpolation with the Nearest Neighbor (NN) strategy.

Thesis Committee:

• Dr. Milton Halem  (Chair)
• Dr. Yelena Yesha
• Dr. Chin-I Chang
• Dr. Shujia Zhou
• Dr. Joel Susskind (NASA Goddard)

Assistant Director, CWIT

DATE POSTED: 11/12/12
POSITION TITLE: Assistant Director, CWIT
CATEGORY: Professional
PERSONNEL STATUS: Exempt, Full time, Regular Note:  Position in for a three-year term.
DEPARTMENT: Center for Women in Technology (CWIT)
CLOSING DATE: 11/26/12

RESPONSIBILITIES: The incumbent will provide for the administration of the Cyber Scholars Program and Cyber Living Learning Community (LLC), including all recruitment, retention, and graduation activities. The Cyber Scholars Program is housed in the new Cyber security Center and run in partnership with UMBC's Center for Women in Technology.

Specific duties include: planning and implementation of the Cyber Scholars Program; developing recruitment activities in coordination with UMBC’s Office of Admissions and Orientation, other UMBC Scholar programs, the Cyber Security Center, and departments within College of Engineering and Information Technology (COEIT); overseeing the Cyber LLC, including coordinating selection initiatives and working closely with the Resident Assistant to encourage community and a supportive learning environment; providing individual and group advising for all Cyber Scholars and LLC members; executing skill-building and professional development events for students; planning and instructing a seminar and bridge program for Cyber Scholars; advising and student planning committees for large events; serving as a liaison between the program and officials within and outside the institution; assisting in the formulation of the organization’s budgets and project proposals; supporting secondary school outreach, including executing CWIT’s annual outreach program, Bits & Bytes; supporting major CWIT and UMBC events to ensure their success; answering mail, phone and walk-in inquiries from prospective students; and performing other duties as assigned.

The UMBC Center for Cybersecurity is an interdisciplinary university center that unifies UMBC’s many cybersecurity capabilities. The Center aims to provide both Maryland and the nation with academic and research leadership, collaboration, innovation, and outreach in this critical discipline by streamlining our academic, research, workforce development, and technology incubation activities to advance UMBC’s position as a leading research university in cybersecurity-related disciplines.

CWIT is dedicated to increasing the representation of women among those who create technology in engineering and information technology fields. CWIT strives to nurture a strong group of Scholars (including CWIT, T-SITE and Cyber Scholars), build community resources for other women

in these majors, foster a healthy gender climate and ITE pedagogy in College of Engineering and Information Technology (COEIT) departments, and conducts outreach activities to increase interest in technical careers.

MINIMUM QUALIFICATIONS: Requires a Bachelor’s degree (Master’s degree in a student support or technical field preferred) and student support experience. Strong organizational, writing, and verbal communications skills required. Some experience interacting with organizations in the cyber sector is a plus.

SALARY: Starting salary range at $50,000, commensurate with qualifications and experience.

APPLICATION: For best consideration, submit a cover letter, resume and contact information for three professional references by November 26, 2012 by email to Sorry, you need javascript to view this email address. Resumes will be accepted until the position is filled.

As required by the 1986 Immigration Act, be prepared to present acceptable documentation showing your identity and that you are a U.S. citizen or an alien who is authorized to work.

UMBC IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER.

Assistant Director, CWIT

DATE POSTED: 11/12/12
POSITION TITLE: Assistant Director, CWIT
CATEGORY: Professional
PERSONNEL STATUS: Exempt, Full time, Regular Note:  Position in for a three-year term.
DEPARTMENT: Center for Women in Technology (CWIT)
CLOSING DATE: 11/26/12

RESPONSIBILITIES: The incumbent will provide for the administration of the Cyber Scholars Program and Cyber Living Learning Community (LLC), including all recruitment, retention, and graduation activities. The Cyber Scholars Program is housed in the new Cyber security Center and run in partnership with UMBC's Center for Women in Technology.

Specific duties include: planning and implementation of the Cyber Scholars Program; developing recruitment activities in coordination with UMBC’s Office of Admissions and Orientation, other UMBC Scholar programs, the Cyber Security Center, and departments within College of Engineering and Information Technology (COEIT); overseeing the Cyber LLC, including coordinating selection initiatives and working closely with the Resident Assistant to encourage community and a supportive learning environment; providing individual and group advising for all Cyber Scholars and LLC members; executing skill-building and professional development events for students; planning and instructing a seminar and bridge program for Cyber Scholars; advising and student planning committees for large events; serving as a liaison between the program and officials within and outside the institution; assisting in the formulation of the organization’s budgets and project proposals; supporting secondary school outreach, including executing CWIT’s annual outreach program, Bits & Bytes; supporting major CWIT and UMBC events to ensure their success; answering mail, phone and walk-in inquiries from prospective students; and performing other duties as assigned.

The UMBC Center for Cybersecurity is an interdisciplinary university center that unifies UMBC’s many cybersecurity capabilities. The Center aims to provide both Maryland and the nation with academic and research leadership, collaboration, innovation, and outreach in this critical discipline by streamlining our academic, research, workforce development, and technology incubation activities to advance UMBC’s position as a leading research university in cybersecurity-related disciplines.

CWIT is dedicated to increasing the representation of women among those who create technology in engineering and information technology fields. CWIT strives to nurture a strong group of Scholars (including CWIT, T-SITE and Cyber Scholars), build community resources for other women

in these majors, foster a healthy gender climate and ITE pedagogy in College of Engineering and Information Technology (COEIT) departments, and conducts outreach activities to increase interest in technical careers.

MINIMUM QUALIFICATIONS: Requires a Bachelor’s degree (Master’s degree in a student support or technical field preferred) and student support experience. Strong organizational, writing, and verbal communications skills required. Some experience interacting with organizations in the cyber sector is a plus.

SALARY: Starting salary range at $50,000, commensurate with qualifications and experience.

APPLICATION: For best consideration, submit a cover letter, resume and contact information for three professional references by November 26, 2012 by email to Sorry, you need javascript to view this email address. Resumes will be accepted until the position is filled.

As required by the 1986 Immigration Act, be prepared to present acceptable documentation showing your identity and that you are a U.S. citizen or an alien who is authorized to work.

UMBC IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER.

The new UMBC Cyber Scholars Program is seeking applicants. Incoming Freshman for the Fall 2013 school year, current students, and transfer students interested in careers in cybersecurity are encouraged to apply by January 15, 2013.

Starting Fall 2013, the Scholarship program will support 15-20 students annually with financial awards of $5,000-15,000 per year. The scholarship is more than a financial award; it is a scholarship program that fosters a community through common on-campus living-learning housing, events, and activities. Cyber Scholars will learn from and support one another throughout their college careers, and from core interaction with UMBC faculty and mentors.

Every Cyber scholar is assigned a faculty advisor who is pursuing cybersecurity-related research of their own. Advisors will help students find research and internship opportunities best suited to them.

To apply for the UMBC Cyber Scholars Program, visit Cybersecurity.umbc.edu/cyberscholars

Originally from Parnu, Estonia, Anastasia is a Computer Engineering major and a T-SITE Scholar. 

About Anastasia

When did you become interested in Computer Engineering? About two years ago while studying at community college. It was a long decision for me. At first I was majoring in Chemical Technology in Estonia and after a long break, I switched to Computer Engineering. I was always interested and successful in science and math. Understanding how computers operate on a very detailed level is very interesting to me.

What area of Computer Science interests you the most? It is a very large area of study. I do not have any actual experience working in this field, therefore it is hard to say. I think robotics and artificial intelligence sound pretty cool. In general, If I can use my knowledge to help someone, it already sounds interesting to me.

What is your dream job?I would like to work in a research and development laboratory to create new technologies for the world. To be a scientist is very fascinating!

About being a CS major

What courses are you taking? This semester, I am taking Computer Science 201, where we are learning about programming in Python. I like writing a program that actually works, such a satisfaction! It makes me wonder what else I can do?

What classes are you most excited about? I think the capstone design even though I am still far from it. I am looking forward to developing something complicated on my own in a small team.

Are you part of any on-campus clubs, organizations, teams, or labs? I am a T-SITE (Transfer Scholars in Information Technology and Engineering) scholar in the Center for Women in Technology community. I would also like to be a Golden Key honors society member next semester. It is very challenging and I hope I can keep up with it.

What is the best part about being a T-SITE? It is a gift! Besides the financial help, I have advising on any subject related to UMBC including academic and just student life related problems. I met new friends before I even attended my first class, and I felt like part of UMBC thanks to the CWIT community.

What advice would you give to other transfer students? Make sure that classes you are taking are transferable and the earlier you decide on the degree, the better. Make friends at UMBC and join some group before you even start your classes. Having someone as your friend who already had to do first steps into UMBC life and is familiar with the system will help you greatly with many unclear things.

What advice would you give to other females entering the field? Never get discouraged by the difficulty of classes. Be confident in yourself and your abilities. You are smart and can do it better than someone else (even if it doesn't seem like it to you right now!).

About life at UMBC

What is the best part about campus life at UMBC? I am commuting to UMBC and I spend a good part of my day on campus. I like how UMBC looks: very pleasant to walk around. Another great thing about UMBC is everything I might need is available right there. It's like a small town. I could even send priority mail right from campus.

What is your favorite spot on campus? The Women's Center is a great place to relax and have a cup of hot tea (I love hot tea!). There on a very cozy and comforatable couch you can relax and if you have any food with you from home, it is the best place to heat it up and eat it. It is quiet and just perfect. 

Where can you get the best coffee/lunch/ food or beverage of choice? I always go to the Commons. I like the selection that it has: sushi, Asian food, vegetarian food, Spanish, Italian, and of course American subs and burgers. That covers all tastes, I think. I tried most of it and I like it all.
 

“Minimizing Intrusiveness in Home Energy Measurement”, a paper written by CSEE Assisant Professor Nilanjan Banerjee, Computer Science graduate student David Lachut, and their colleagues at the University of San Francisco, was nominated for the best paper award at ACM's BuildSys workshop.

The paper outlines the design of a system that will analyze and manage energy use in homes. “The overarching goal of our work is to automate the process of adapting energy demand to meet supply, which requires a comprehensive understanding of home energy use,” explains the abstract. Banerjee and his collaborators have collected data on energy-consumption from six both on and off-grid homes. “Our techniques reduce the energy footprint of the system as well as the amount of physical infrastructure required, making adoption of the system more attractive, particularly to those who live in homes powered by renewable energy sources.”

You can learn more about Dr. Banerjee’s work with renewable-energy driven devices and green homes at the website for his Mobile, Pervasive, and Sensor Systems Laboratory.

Ph.D. Thesis Defense Announcement

Semantically Rich, Policy Based Framework to Automate Lifecycle of Cloud Based Services

Karuna P. Joshi

10:00am 19 November 2012, ITE 325B

Managing virtualized services efficiently over the cloud is an open challenge.  Traditional models of software development are very time consuming and labor intensive for the cloud computing domain, where software (and other) services are acquired on demand. Virtualized services are often composed of pre-existing components that are assembled on an as-needed basis. We have developed a new framework to automate the acquisition, composition and consumption/monitoring of virtualized services delivered on the cloud.  We have divided the service lifecycle into five phases of requirements, discovery, negotiation, composition, and consumption and have developed ontologies to represent the concepts and relationships for each phase. These are represented in Semantic Web languages. We have developed a protocol to automate the negotiation process when acquiring virtualized services. This protocol allows complex relaxation of constraints being negotiated based on user defined policies. We have also developed detailed ontologies to define service level agreements for cloud services. To illustrate and validate how this framework can automate the acquisition of cloud services, we have built two applications from real world scenarios. The Smart cloud services application enables users to determine and procure the cloud storage application that matches most of their constraints and policies. We have also built a VCL broker application that allows users to automatically reserve the VCL Image that will best meet their requirements. We have developed a framework to measure and semi-automatically track quality of a virtualized service delivery system. The framework provides a mechanism to relate hard metrics typically measured at the backstage of the delivery process to quality related hard and soft metrics tracked at the front stage where the consumer interacts with the service. While this framework is general enough to be applied to any type of IT service, in this dissertation we have primarily concentratated on the Helpdesk service and include the performance rules we have created by mining Helpdesk data.

Thesis Committee:

• Dr. Yelena Yesha (chair)
• Dr. Tim Finin (co-chair)
• Dr. Milton Halem
• Dr. Yaacov Yesha
• Dr. Aryya Gangopadhyay