With offices in Washington, DC and Annapolis, MD — DCI provides strategic consulting to large federal contractors with its staff of Masters and PhD Industrial Psychologists.

As a small and growing firm, DCI currently has 20 staff members and is looking to add a recent computer science graduate to assist with software development.  This is a great opportunity to create a new position at our firm and run entire development projects from start to finish.  The successful candidate will be a team player, able to independently create and deliver software solutions as requested by the consulting staff, as well as interact with clients to resolve technical issues.  DCI’s core software is developed in SQL and .NET and functions as a plug-in to Microsoft CRM.  Required skills and experience include:

• Microsoft .NET Framework development
• Windows GUI application development
• Microsoft Access and/or SQL Server database development
• Report development (e.g., XML, SQL reports)
• Software development/testing cycle knowledge and experience
• Technical writing (end-user documentation) experience preferred

Hours/Location:  Office hours are 9AM – 5PM in our downtown Annapolis, MD office (115 West St)

Contact:  Brian Pirko, VP at: Sorry, you need javascript to view this email address.  

Two UMBC students were among the 18 fellows selected by Code 2040 for a unique fellowship program that places high performing Black and Latino/a software engineering students in internships with top technology companies and startups in the San Francisco Bay area and supports them with mentorship, leadership training, and network development.

Perry Ogwuche, a rising senior majoring in computer science and mathematics, will spend the summer working at Redbeacon, a startup in Foster City, CA that connects qualified home-service professionals with exclusive job requests from homeowners. Perry is a member of the Phi Mu Epsilon National Mathematics Honorary Society, and has served as a Resident Assistant, Student Government Association member and as a math tutor to student athletes.

Randi Williams, a rising sophomore majoring in computer engineering, will spend her summer as an intern at Jawbone, a San Francisco company known for its noise eliminating Bluetooth headsets and portable speakers. Randi is a Meyerhoff scholar and Center for Women In Technology (CWIT) affiliate and coach in UMBC's Math Gym.

CODE2040 is a non-profit organization that aims to close the achievement, wealth, and skills gaps for Blacks and Latinos in the United States by creating access, awareness, and opportunities in technology and engineering. Its summer fellowship program brings high performing Black and Latino undergraduate and graduate coders and software engineering students to Silicon Valley for a comprehensive summer internship program that includes a paid internship with a top startup, mentoring, a speaker series, company visits, interactive workshops, executive coaching, and more. The program began last year with five students and has expanded to 18 this summer.

Students who are interested in the program can get more information on it and find out how to apply for the 2014 CODE 2040 fellows program at their web site.

CSEE Colloquium

Personalized Medicine – the future is already here

Professor Eddy Karnieli, MD

Director, Institute of Endocrinology, Diabetes and Metabolism
Rambam Health Care Campus, Israel
Director, Galil Center for Medical Informatics, Telemedicine
and Personalized Medicine
Technion, Israel

2:30pm June 20, 2013, ITE 325b, UMBC

Professor Eddy Karnieli will talk about applications of personalized medicine in healthcare. Personalized medicine allows us to determine an individual's unique genetic and molecular characteristics and use this to better diagnose and treat diseases and reduce possible adverse reactions. Personalized medicine can also be used to predict an individual's susceptibility to diseases, enabling steps to help avoid or reduce the extent to which an individual will experience a disease.

Professor Eddy Karnieli is a graduate of the Rappaport Faculty of Medicine at the Technion– Israel Institute of Technology in Haifa. He obtained clinical training in Internal Medicine and Endocrinology at the Rambam Medical Center and did his Post-Doctoral Fellowship in Diabetes, Obesity and Endocrinology at the National Institutes of Health in Bethesda, Maryland.He was a visiting scholar at the University of California at San Diego and at the National Institutes of Health.Recently, he was a visiting professor at MSSM in New York.

He is currently the Director of the Institute of Endocrinology, Diabetes and Metabolism at the Rambam Medical Center and the Director of Galil Center for Medical informatics, Telemedicine and personalized Medicine at the Faculty of Medicine – Technion. Professor Karnieli's main research interests are the molecular mechanisms for regulating cellular glucose uptake and transporters and their implications in diabetes and obesity; Medical informatics, telemedicine and personalized medicine. He is also the current President of the Israel Endocrine Society.

He has published over 70 peer reviewed papers and reviews. Professor Karnieli serves on the editorial board of several scientific journals and review boards.Professor Karnieli is a retired Colonel from the Israel Defense Forces Medical Corps.

The UMBC Computer Science and Electrical Engineering department seeks part-time adjunct faculty and instructors for additional sections of four undergraduate computer science courses in the Fall 2013 semester. We anticipate hiring additional adjuncts for Spring 2014 and welcome advance inquiries about that semester.

The Fall 2013 courses are CMSC 203 (Discrete Structures), CMSC 313 (Computer Organization), CMSC 331 (Principles of Programming Languages), and CMSC 433 (Scripting Languages). The specific courses for Spring 2014 have not yet been identified, but may include CMSC 304 (Social and Ethical Issues in Information Technology) as well as others.

The UMBC Computer Science and Electrical Engineering department seeks part-time adjunct faculty and instructors for additional sections of four undergraduate computer science courses in the Fall 2013 semester. We anticipate hiring additional adjuncts for Spring 2014 and welcome advance inquiries about that semester.

The Fall 2013 courses are CMSC 203 (Discrete Structures), CMSC 313 (Computer Organization), CMSC 331 (Principles of Programming Languages), and CMSC 433 (Scripting Languages). The specific courses for Spring 2014 have not yet been identified, but may include CMSC 304 (Social and Ethical Issues in Information Technology) as well as others.

The UMBC Computer Science and Electrical Engineering department seeks part-time adjunct faculty and instructors for additional sections of four undergraduate computer science courses in the Fall 2013 semester. We anticipate hiring additional adjuncts for Spring 2014 and welcome advance inquiries about that semester.

The Fall 2013 courses are CMSC 203 (Discrete Structures), CMSC 313 (Computer Organization), CMSC 331 (Principles of Programming Languages), and CMSC 433 (Scripting Languages). The specific courses for Spring 2014 have not yet been identified, but may include CMSC 304 (Social and Ethical Issues in Information Technology) as well as others.

CSEE Talk

Sparse models for integrative analysis

of fMRI and genetic data

Dr. Yu-Ping Wang
Biomedical Engineering Department
Biostatistics & Bioinformatics Department
Tulane University

2pm Thursday, 13 June 2013, ITE 346

In the last few years, the combination of imaging and genetic approaches has become an emerging area, where multiple complementary data are utilized for systematic and comprehensive analysis of a patient. While imaging approaches such as functional MRI (fMRI) continue to be major diagnostic tools for extracting structural and functional patterns at the tissue and organ levels, genetic techniques such as SNPs, microarray gene expression and the emerging next generation sequencing (NGS) add new dimensions by revealing structural variations at genomic level. The integration of these multiscale and multimodality approaches has been promising for complex disease diagnosis and prognosis. However, the combination of these data has been challenging because these data are of different nature, format, organization and structure are produced by different genomic platforms at multiple scales; each of these imaging data is currently still analyzed separately and the results are interpreted independently. Being a powerful approach recently developed in statistics and signal processing, sparse data representations or compressive sensing provides a promising way to address these challenges facing multiscale genomic imaging informatics. In this talk, I will present our recent research on the development of sparse models such as sparse canonical correlation analysis (sCCA) and joint sparse representation of multi-modal data that can better capture the interrelations between these data. We show latest examples of using these models for integrative analysis of SNP and fMRI to identify biomarkers, and use the joint information for the identification of schizophrenia diseases.

Dr. Yu-Ping Wang received the BS degree in applied mathematics from Tianjin University, China, in 1990, and the MS degree in computational mathematics and the PhD degree in communications and electronic systems from Xi'an Jiaotong University, China, in 1993 and 1996, respectively. After his graduation, he had visiting positions at the Center for Wavelets, Approximation and Information Processing of the National University of Singapore and Washington University Medical School in St. Louis. From 2000 to 2003, he worked as a senior research engineer at Perceptive Scientific Instruments, Inc., and then Advanced Digital Imaging Research, LLC, Houston, Texas. In the fall of 2003, he returned to academia as an assistant professor of computer science and electrical engineering at the University of Missouri-Kansas City. He is currently an Associate Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Tulane University School of Science and Engineering & School of Public Health and Tropical Medicine. He is also a member of Tulane Center of Bioinformatics and Genomics and Tulane Cancer Center. His research interests lie in the interdisciplinary biomedical imaging and bioinformatics areas, where he has over 100 publications. He has served on numerous program committees and NSF/NIH review panels, and was a member of Machine Learning for Signal Processing technical committee of the IEEE Signal Processing Society.

UMBC's Center for Hybrid Multicore Productivity Research, an NSF Industry & University Cooperative Research Center is holding its Industry Advisory Board meeting at UMBC 12-14 June. Students from UMBC and UCSD will present tutorials on a number of the technologies underlying ongoing CHMPR projects in a session from 1:00-5:00 on Wednesday June 12 in ITE 456. The tutorial session is free and open to the public.

• 3-D Printing – Timothy Blattner (UMBC)
• Semantic Table Information – Varish Mulwad (UMBC)
• Social Media Elastic Search – Oleg Aulov (UMBC)
• Machine Learning for Social Media – Han Dong (UMBC)
• Virtual World Interactions – Erik Hill (UCSD)

Facebook has scholarships for students to attend the 2013 Grace Hopper Celebration of Women in Computing Conference, which will be held in the first week of October in Minneapolis.

The Facebook Grace Hopper Scholarships will provide 25 students with an all-expenses paid, six-day trip to the 2013 Grace Hopper Conference. In addition to attending conference mentoring, networking, and career development events, the 25 scholarship winners will meet with Facebook director of engineering Jocelyn Goldfein, see the sights of Minneapolis before the conference, and receive a $200 meal stipend.

The scholarships are open to full-time undergraduate or graduate students who are pursuing a degree program in computer science, computer engineering, or a related technical major.

To apply fill out the online application form, attach your résumé and complete a short coding challenge. Applications must be completed by Sunday, June 16, 2013. Award recipients will be notified by June 21.

More than twenty years ago, Tulay Adali stepped onto UMBC’s campus as an assistant professor right after receiving her PhD. Much has changed since then.

Now a professor of Computer Science and Electrical Engineering, Dr. Adali runs a highly active Machine Learning for Signal Processing Lab (MLSP­Lab). Her recent appointment as an IEEE Signal Processing Society Distinguished Lecturer has prompted invitations to speak around the world about her research in the theory and development of algorithms for signal processing. This March, Dr. Adali was awarded the University System of Maryland Regents’ Faculty Award for Scholarship, Research, or Creative Activity.

Her secret to success?

“Planning or thinking about the future is not something I do,” said Dr. Adali in her acceptance speech at the Presidential Faculty and Staff Ceremony where she was honored in March. “I rather make sure I enjoy what I do and have fun along the way.” Her technique seems to be paying off. For proof, just take a look at the recognition received by her research in two distinct areas: the development of powerful data­driven methods, and the analysis and fusion of medical imaging data. In 2008, Dr. Adali was elected a fellow of the American Institute for Medical and Biological Engineering (AIMBE). In 2009, the Institute of Electrical and Electronics Engineering (IEEE) elected her a fellow for her work on the theory and practice of statistical signal processing.

In 2011, a paper by Dr. Adali and colleagues titled “Complex ICA using nonlinear functions” received the 2010 IEEE Signal Processing Society Best Paper Award. The work develops a complete framework, allowing for the processing of complex data in a manner similar to the real­valued case, eliminating the need to make many of the simplifying assumptions commonly employed. The results of this NSF­funded study led to the development of a complete data­driven framework that enables joint use of sample dependence and higher­order­statistics.

Dr. Adali’s work in medical image analysis and fusion has also gained notoriety. She has been working on methods for data­driven analysis of medical imaging data, and for the analysis of functional magnetic resonance imaging (fMRI) data for understanding brain function. She and her colleagues discovered that fusing more than two modalities increases the sensitivity and specificity of the analyses of fMRI, electroencephalography (EEG) and structural MRI data. In March 2011, an IEEE Spectrum article mentioned her success in obtaining very high classification accuracy in identifying mental disorders in patients. Then in April 2011, in addition to her ongoing projects funded by the NSF, NIH, and the Mind Research Network, she received a grant from Michelin Research to study irregular wear detection in tires, where the new data-driven framework is applied to a completely new problem domain.

These notable research advances made Dr. Adali stand out as a nominee for this year’s Regents’ Faculty Award for Scholarship, Research, or Creative Activity. It is the highest honor given by the Board of Regents to faculty members, given to faculty members who have gone above and beyond the call of duty. This year, Dr. Adali joins only three other USM faculty members who were recognized for their exceptional research contributions. “Dr. Adali has been steadily building her research career and I am not surprised by the award since her research is remarkable,” says Dr. Carter, CSEE Department Chair. “I see her continuing to grow her research in areas of signal processing for medical applications and becoming a key UMBC faculty member