CSEE professor Jian Chen recently received an award from Department of Defense to to develop new techniques to visualize health informatics data. The award will support two UMBC research students for two years and be done in collaboration with Jesus Caban, Gerard Reidy and Joseph Bleiberg from the Walter Reed National Military Medical Center's National Intrepid Center of Excellence.

The research will the support temporal exploration and analysis of traumatic brain injury and post traumatic stress disorder from patient cohorts. The group will design interactive visualization to move beyond using a small subset of data from the wealth and breadth of clinical information to improve diagnostic accuracy.

The project will help clinicians obtain new insights about the underlying conditions of patients, analyze complex hidden clinical patterns, and visually explore the correlations between many assessment techniques and imaging modalities including neuroimaging, neuropsychiatric measures, patient history, demographic information, and clinical tests).

Last week, Rick Forno, CSEE's Cybersecurity Graduate Program Director and Assistant Director of UMBC's Center for Cybersecurity, joined Australian security journalist Pat Gray for a lengthy discussion on the Risky Business podcast about the OPM data breach, local reactions, and possible US cybersecurity responses to this significant and far-reaching security incident.

This talk was accepted for DEFCON 2015 in Las Vegas later this month. However, for those interested here in the UMBC community, John will conduct an informal preview of his talk on Friday 7/17 at 3:00PM in ITE 366 (DREAM Lab).

"Quantum" Classification of Malware
John Seymour, UMBC

3:00pm Friday 17 July 2015, ITE 366

Quantum computation has recently become an important area for security research, with its applications to factoring large numbers and secure communication. In practice, only one company (D-Wave) has claimed to create a quantum computer which can solve relatively hard problems, and that claim has been met with much skepticism. Regardless of whether it is using quantum effects for computation or not, the D-Wave architecture cannot run the standard quantum algorithms, such as Grover’s and Shor’s. The D-Wave architecture is instead purported to be useful for machine learning and for heuristically solving NP-Complete problems.

We'll show why the D-Wave and the machine learning problem for malware classification seem especially suited for each other. We also explain how to translate the classification problem for malicious executables into an optimization problem which a D-Wave machine can solve. Specifically, using a 512-qubit D-Wave Two processor, we show that a minimalist malware classifier, with cross-validation accuracy comparable to standard machine learning algorithms, can be created. However, even such a minimalist classifier incurs a surprising level of overhead.

John Seymour is a Ph.D. student at the University of Maryland, Baltimore County, where he performs research at the intersection of machine learning and information security. He's mostly interested in avoiding and helping others avoid some of the major pitfalls in machine learning, especially in dataset preparation (seriously, do people still use malware datasets from 1998?) In 2014, he completed his Master’s thesis on the subject of quantum computation applied to malware analysis. He currently works at CyberPoint International, a company which performs network and host-based machine learning, located in Baltimore, MD.

CSEE Ph.D. student Kavita Krishnaswamy is interviewed by Dr. Renetta Tull, UMBC Associate Vice Provost for Graduate Student Development and Postdoctoral Affairs. The taped interview includes several graduate students from UMBC, UMBC's Graduate Dean, Dr. Janet G. Rutledge and Kavita’s parents. Kavita discussed her research and answered questions from the audience regarding graduate school tips, information about research by and for people with disabilities, and motivation to work toward the goal of the PhD. A transcript is available.

Nielsen Audio, a consumer research company that collects and analyzes listener data on radio broadcasting audiences, invites UMBC faculty and students to attend events focused on data science from 11:00am-2:30pm on Thursday June 25 at its headquarters in Columbia MD.

In the past few years, data science has become one of the top career opportunities for students with a background in computing or mathematics, offering interesting challenges and top salaries. Nielsen has been actively recruiting on campus and has hired three graduating UMBC students into its leadership rotational program, as well as several summer interns. They will be recruiting for full-time positions in the Fall.

The Nielsen Data Science Day event will take place in lobby and auditorium of Nielsen Audio's headquarters at 9705 Patuxent Woods Dr #200, Columbia, MD 21046 (map). Activities will include presentations, data science themed games and group discussions.

Between 11:00 and 12:00 participants can engage with interactive games with a Math/Data Science/Audio theme, including Data Science Jeopardy, Name that Tune, and Sampling Marbles. In the auditorium, a short video on data science produced by Nielsen will play continuously.

Lunch is available at Noon, followed by an introduction to data science at Nielsen Audio and presentations from managers of Nielsen's data science groups.

In the afternoon there will be a chance to meet with data scientists and find out what they do and opportunities for internships and positions.

If you have questions, contact the Columbia Data Science Day Committee leads: Kelly Dixon () or Freddie Navarro ()

Military's Use Of Social Security Numbers A Vulnerability For Veterans
By Patricia Murphy – KUOW (Seattle Public Radio)

A massive data breach at the federal Office of Personnel Management has exposed the Social Security numbers and personnel records of nearly every federal worker. The implications for federal employees, military service members and the intelligence community could be extraordinary.  

But at a very basic level U.S. service members have been at high risk for identity theft for decades.

In the military your nine-digit service ID number is used for everything, whether you're checking out gym equipment or picking up your laundry. Since the late 1960s that number has been a service member’s Social Security number.

Rick Forno is the assistant director of the University of Maryland Baltimore County Center for Cybersecurity. He said using Social Security numbers as a unique identifier isn't new….

Source: KUOW

CSEE PhD student Kavita Krishnaswamy and Prof. Tim Oates write about their research using brain-computer interfaces and speech recognition tools to control robotic to assist individuals with reduced muscular strength. The piece, Robotic assistive devices for independent living, appeard in Robohub, "a non-profit online communication platform that brings together experts in robotics research, start-ups, business, and education from across the globe."

They describe their motivation as follows.

"One of the most craved aspects of the human experience is to be independent: the abilitiy to take care of one's self establishes a sense of dignity, inherent freedom, and profound independence. Our goal is to bring robotic assistive devices into the real world where they can support individuals with severe disabilities and alleviate the workload of caregivers, with the ultimate vision of helping people with severe physical disabilities to achieve physical independence without relying on others. As robotic assistive devices become ubiquitous, they will enable people with severe physical disabilities to confidently use technology in their daily lives, not just to survive, but to flourish."

They demonstrated the feasibility of integrating a brain-computer interface with speech recognition for self-directed arm repositioning tasks through a robotic interface for repositioning the simulated arm of an avatar using a Emotiv Epoc headset and Dragon NaturallySpeaking voice recognition software.

Ph.D. Dissertation Proposal

Real-time Spectral Rendering of Atmospheric Optical Phenomena

Ari Blenkhorn

2:00pm Wednesday, 10 June 2015, ITE 352

Glories, rainbows, and coronas are colorful atmospheric effects which occur when sunlight interacts with cloud droplets. Adding these effects to digital cloud environments will provide increased realism and a greater sense of immersion. Furthermore, these phenomena are the subject of active scientific research.  In both communities, high-resolution real-time rendering is desirable.

The color distribution of these phenomena is typically calculated using the Mie scattering theory, Debye series, or Airy theory. The calculations give the intensity of a single wavelength of light at a single scattering angle. They must be repeated for all desired wavelengths at all desired pixels of the final image.

I propose accelerating the calculations by using general-purpose GPU computing to transform a single-threaded, CPU-based Mie scattering application into a collection of highly-parallel GPU calculations.  I also propose to reduce the number of wavelengths required by using importance sampling, a monte-carlo selection method which concentrates the computing resources on the wavelengths belonging to the most important regions of the visible spectrum.

Planned work includes development of both numerical and perceptually-based image quality metrics, of interest to optical physicists and interactive application developers, respectively. These metrics will guide development of the GPU kernel parallel structure and the selection of a suitable estimator for importance sampling.

Committee: Drs. Marc Olano, Penny Rheingans, Curtis Menyuk, Matthias Gobbert (Mathematics), Raymond Lee (USNA)

The UMBC Cybersecurity Graduate Program will hold a virtual information session at 6:00pm on June 16. Participate to learn about the  program options and find out how a master’s degree or graduate certificate can help you advance in the cybersecurity industry. During the online information session, graduate program director Richard Forno will discuss courses, credit requirements and prerequisites, and admissions processes.

The session will cover cybersecurity programs at both UMBC's Main Campus and UMBC-Shady Grove in Rockville, MD. It will provide an overview of our innovative curriculum, practice-oriented instruction and flexible class schedules, which are designed for working professionals.  You will also learn about admissions, curriculum, class format and the cybersecurity career outlook.

If you would like to participate in the information session, please RSVP online.