Sanghani Center Student Spotlight: Ola Karajeh

Ola Karajeh, Ph.D. student in the Department of Computer Science
Graphic is from the paper “Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach”

In her Ph.D. research, Ola Karajeh is investigating efficient solutions to process social media such as Twitter for monitoring public health.

She is particularly interested in the brittleness of these systems, e.g., how non-informational tweets can lead to failure of public health monitoring systems. “Since many institutions report success from building supportive decision making systems based on data collected and processed from sources like Twitter, it is important to identify which posts are non-informational,” she said. 

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Virginia Tech researchers garner two major awards in COVID-19 forecasting challenges

Nikhil Muralidhar, a Ph.D. student at the Sanghani Center, is one of the Virginia Tech researchers on the winning DeepOutbreak team.

DeepOutbreak, a team of researchers from Virginia Tech, Georgia Tech, and the University of Iowa, has taken first place in the COVID-19 Symptom Data Challenge.

The competition explores how Facebook symptom survey data can enable earlier detection and improved situational awareness of COVID-19 and flu outbreaks that can help both public health authorities and the general public make better decisions.

The first place award, announced by Catalyst @Health 2.0 in late December, and the team’s work will be featured on the Facebook Data for Good blog. Facebook was one of the sponsors of the challenge. Click here to read more about the challenge.


$10M GIFT WILL HELP FUEL DISCOVERIES AT INNOVATION CAMPUS

Mehul and Hema Sanghani. Photo courtesy of the Sanghanis.

Virginia Tech’s growing impact in the greater Washington, D.C., metro area will receive a significant boost thanks to a multimillion-dollar gift from Octo founder and CEO Mehul Sanghani ’98 and his wife, Hema Sanghani ’99.

The couple’s $10 million gift primarily supports the newly renamed Sanghani Center for Artificial Intelligence and Data Analytics, which will be headquartered in the first academic building at the university’s Innovation Campus in Alexandria, Virginia. A majority of the gift is endowed to support recruiting, research, and fellowships at the center, which has operated since 2011 and was formerly known as the Discovery Analytics Center. Funding will also be allocated toward a Sanghani Center scholars program which will afford scholarship opportunities to underrepresented minorities to pursue graduate degrees with a focus on artificial intelligence.

Click here to read more about their gift.


Thomas Jefferson High School student’s DAC summer internship leads to his first publication — Jason Wang presents paper at IEEE International Conference on Big Data

Jason Wang, Thomas Jefferson High School student
Graphic is from Wang’s research on “SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection.”

What was Jason Wang’s most important takeaway as a research intern at the Discovery Analytics Center last summer?

Reflecting on his experience, Wang, a senior at Thomas Jefferson High School for Science and Technology in Alexandria, Virginia, said that the two most valuable things he learned are first, while some of the approaches you try do not work as planned, they could serve as stepping stones to the final model and second, “speak up and be unafraid of sharing failures so as not to get stuck in a single direction.”

Wang, whose interest lies in social media mining and natural language processing, worked under the supervision of  Chang-Tien Lu, professor of computer science, and Lu’s Ph.D. student Kaiqun Fu.  

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Congratulations 2020 Fall Graduates!

Among the graduates at Virginia Tech’s 2020 Fall commencement are five Ph.D.’s and six master’s students at the Discovery Analytics Center.

“This year has certainly been a challenging one but our students have persevered. Remotely, they completed required courses and successfully finalized and defended their research,” said Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering and director of the center. “We are very proud of all they have accomplished and wish them continued success in their new professional positions.”

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World Wildlife Fund partners with Discovery Analytics Center on automated system to help save forests

Aerial view of Amazon deforestation, municipality of Calamar, Guaviare Department, Colombia. The “buffer zone” around Chiribiquete National Park, Colombia is being deforested at an alarming rate, due to land grabbing and cattle ranching, especially in areas newly “opened up” as a result of the peace process. Photo © Luis Barreto / WWF-UK

Nearly half the world’s forests are under threat of deforestation and forest degradation.

Forests are at most risk of being destroyed by degradation — slashed trees, bare clearings, newly formed trenches and water gullies, and water clouded by eroding soil — which often leads to deforestation. Forest degradation has an even greater environmental, economic, and social impact because it not only affects the structure and function of a forest, but also lowers its capacity to provide goods and ecosystem services to help keep air and water clean, provide wildlife and humans with shelter and food, and capture carbon. More than three-quarters of the world’s land-based species live in forests, and over 1.5 billion people rely directly on forests for their livelihoods. Click here to read more.


DAC Student Spotlight: Akshita Jha

Akshita Jha, DAC Ph.D. student in the Department of Computer Science

Akshita Jha’s primary research focuses on how to prevent automated machine learning models from exacerbating existing biases.

“As an example,” Jha said, “the commercial algorithm, COMPAS, used by judges and officers across the United States to assess a defendant’s likelihood to re-offend has been shown to discriminate unfairly against African American defendants.”

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DAC Student Spotlight: Joshua Detwiler

Joshua Detwiler, DAC Ph.D. student in the Department of Computer Science

Joshua Detwiler, a Ph.D. student in computer science, believes that his research interest in solving automated redistricting/gerrymandering as an optimization problem is well aligned with both the applied and interdisciplinary focus at the Discovery Analytics Center and with what he is learning as a research trainee in the National Science Foundation-sponsored urban computing graduate certificate program, administered through DAC.

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DAC Student Spotlight: Yi-Chun Chang

Yi-Chun Chang, DAC master’s student in the Department of Computer Science

Graphic is from the paper, “RIDE-SECURE: Metro Security Incidents And Threat Detection Using Social Media”

Yi-Chun Chang, who holds a bachelor’s degree in business information management from National Taiwan University, was drawn to pursue a master’s degree in computer science at Virginia Tech by its reputation for quality research and the prospect of working Chang-Tien Lu, now his advisor.

“Being a student at the Discovery Analytics Center is amazing,” said Chang. “We have plenty of resources and so many great opportunities to collaborate.”

Chang’s current project with Lu is a collaboration  with a Maryland firm funded by the Washington Metropolitan Area Transit Authority (WMATA). The team is developing an advanced spatiotemporal event detection system of several layers to deal with data preprocessing, information extraction, threat level analysis, and visualization and extract security-related information from social media contents that can help metro police improve security on trains and at metro stations.

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Discovery Analytics Center welcomes new faculty member Lifu Huang

The Discovery Analytics Center continually brings together computer scientists, engineers, and statisticians to meet the research and workforce needs of today’s data-driven society. This Fall, DAC welcomes new faculty member Lifu Huang. He has joined the Virginia Tech Department of Computer Science as an assistant professor, having earned his Ph.D. in computer science at the University of Illinois Urbana-Champaign.

Huang’s primary research interests are in the fields of natural language processing, machine learning and artificial intelligence. He is specifically interested in building efficient models and benchmarks that can encourage machines to perform human-level intelligence.

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