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Sanghani Center Student Spotlight: Longfeng Wu

An interest in finding some unknown patterns from existing data influenced Longfeng Wu’s research focus. Wu, who is advised by Dawei Zou, is pursuing her doctoral degree in computer science working on symbolic reasoning and trustworthy graph learning.  “I am focused on exploring the reasoning process and developing more reliable and trustworthy models in the real world,” […]

Hirva Bhagat

Hirva Bhagat was a master’s degree student in the Department of Computer Science. She was co-advised by Lynn Abbott and Anuj Karpatne. Her research focus is on improving driver gaze estimation for driver safety applications.

Lifu Huang receives NSF CAREER award to lay new ground for information extraction without relying on humans

Considering the millions of research papers and reports from open domains such as biomedicine, agriculture, and manufacturing, it is humanly impossible to keep up with all the findings. Constantly emerging world events present a similar challenge because they are difficult to track and even harder to analyze without looking into thousands of articles.  To address […]

Researchers study the crowdsourced investigation of Jan. 6, 2021

How has online sleuthing successfully replaced wanted posters? Researchers within the Virginia Tech Department of Computer Science answered this question by studying the crowdsourced online investigation that followed the Jan. 6, 2021, insurrection at the U.S. Capitol. Tianjiao “Joey” Yu and Kurt Luther collaborated on the project with Ismini Lourentzou, assistant professor of computer science […]

Amazon-Virginia Tech Initiative showcases innovative approaches to robust and efficient machine learning

Virginia Tech and Amazon gathered for a Machine Learning Day held at the Virginia Tech Research Center — Arlington on April 25 to celebrate and further solidify their collaborative Amazon–Virginia Tech Initiative for Efficient and Robust Machine Learning.   Announced last year, the initiative — funded by Amazon, housed in the College of Engineering, and directed by researchers […]

Sanghani Center Student Spotlight: Amarachi Blessing Mbakwe

In her research at the Sanghani Center, Ph.D. student Amarachi Blessing Mbakwe is trying to develop advanced artificial intelligence methodologies for better medical imaging and clinical decision-making. Her passionate drive to improve healthcare systems that could save millions of lives worldwide stems from personal experience. With the deaths of two close family members in her home region in […]

Makanjuola Ogunleye among eight students nationwide to receive Cadence Black Students in Technology Scholarship

Makanjuola Ogunleye, a Ph.D. student in computer science at the Sanghani Center for Artificial Intelligence and Data Analytics, has been awarded a Black Students in Technology Scholarship from Cadence Diversity in Technology Scholarship Programs. Ogunleye, a member of the Perception and LANguage (PLAN) research lab, is one of eight students pursuing technical degrees at universities across the country who were selected to […]

For chatbots and beyond: Improving lives with data starts with improving machine learning

Assistant Professor Ruoxi Jia in the Bradley Department of Electrical and Computer Engineering and core faculty at the Sanghani Center for Artificial Intelligence and Data Analyitics at Virginia Tech has received an National Science Foundation (NSF) Faculty Early Career Development (CAREER) award to investigate fundamental theories and computational tools needed to measure the value of data. Read full […]

Sanghani Center Student Spotlight: Shengzhe Xu

Shengzhe Xu chose to pursue a Ph.D. in computer science at Virginia Tech because the Sanghani Center offered him the opportunity to investigate cutting-edge challenges of academic importance and find ways of applying these methodologies to tackle real-world problems. “What I like best about the center is that everyone is encouraged to pursue their own areas of interest,” said […]

Sanghani Center Student Spotlight: Afrina Tabassum

Afrina Tabassum, a Ph.D. student in computer science, was attracted to the Sanghani Center by the trending research conducted by faculty for improving machine learning algorithms and their application to other fields. Her research interests lie in machine learning and self-supervised learning, particularly designing novel representation learning objectives for multi-modal data. “I was really attracted to this […]