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Sahil Hamal

Sahil Hamal was a master’s degree student in the Department of Computer Science. He was advised by Chris North. His research focus is visual analytics and explainable artificial intelligence.

Class of 2023: Mohannad Elhamod and Alli Rossi-Alvarez named Graduate Students of the Year

Two graduate students in the College of Engineering have been recognized by the Virginia Tech Graduate School for their exemplary work inside and outside the classroom. Mohannad Elhamod in computer science and Alli Rossi-Alvarez in industrial and systems engineering both received the 2023 Graduate Student of the Year award. This award recognizes students for their character, service, […]

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 […]