The Sanghani Center is home to high-profile research, garnering recognition within and beyond the data analytics community.
Our talented team has been recognized with many competitive research awards and featured in major news and media outlets such as the Wall Street Journal, Newsweek, the Boston Globe and the Chronicle of Higher Education.
Now, Rho’s research team in the College of Engineering has turned to another question: what effects did social media rhetoric have on COVID-19 infection and death rates across the United States, and what can policymakers and public health officials learn from that?
“A lot of studies just describe what’s happening online. Often they do not show a direct link with offline behaviors,” Rho said. “But there is a tangible way to connect online behavior with offline decision making.”
Virginia Tech’s week of commencement ceremonies is underway! The Graduate School Commencement ceremony was held Wednesday, May 8; the main ceremony is being held today, Friday, May 10; and the Washington, D.C. area ceremony will be held on Sunday, May 12.
“Graduation is always a bittersweet time for faculty as we applaud our students’ accomplishments,” said Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering in the Department of Computer Science at Virginia Tech and director of the Sanghani Center for Artificial Intelligence and Data Analytics. “We very proud of all of them but saying good-bye is not so easy and we are always happy when they stay in touch – as many of them do — to let us know where their research is leading them.”
The following Sanghani Center students are among those who are receiving degrees:
Ph.D. Graduates
Abdulaziz Alhamadani, advised by Chang-Tien Lu, has earned a Ph.D. in computer science. His research interests mainly focus on developing efficient and applicable methods of training machine learning models for real-world applications such as pandemic prediction, drug overdose crises, and crisis management in various industries. His additional research areas include natural language processing, such as text classification and building large corpora for low-resource languages, machine learning ethics, and event detection.The title of his dissertation is “Integrated Predictive Modeling and Analytics for Crisis Management.” Alhamadani has joined the Computer Science Department at Florida Polytechnic University as an assistant professor.
Lulwah AlKulaib, advised by Chang-Tien Lu, has earned a Ph.D. in computer science. Her research focuses on social media analysis, machine learning, and natural language processing with a special interest in Arabic. The title of her dissertation is “Analyzing Networks with Hypergraphs: Detection, Classification and Prediction.” AlKulaib has joined Kuwait University as an assistant professor in computer science.
Hongjie Chen, advised by Hoda Eldardiry, has earned a Ph.D. in computer science. His research lies in the areas of graph neural networks, time-series analysis, and recommendation systems. The title of his dissertation is “Graph-based Time-series Forecasting in Deep Learning.”
Jiaying Gong, advised by Hoda Eldardiry, has earned a Ph.D. in computer science. Her research focuses on multisource machine learning and natural language processing. The title of her thesis is “Few-Shot and Zero-Shot Learning for Information Extraction.” Gong will join coreAI, eBay, in New York City, as an applied researcher.
Jianfeng He, advised by Chang-Tien Lu, has earned a Ph.D. in computer science. His research focus on computer vision centers on guided image editing. He also focuses on natural language processing, studying uncertainty analysis in its applications (e.g., text classification, few-shot learning, named entity recognition, and text summarization). The title of his dissertation is “Uncertainty Estimation in Natural Language Processing,” for which he received the Department of Computer Science Achievement Award for Best Ph.D. Research. In June, He will join Amazon as an applied scientist in Seattle, Washington.
Ola Karajeh, advised by Edward Fox, earned a Ph.D. in computer science. Her research interests are graph machine learning, natural language processing, Twitter analysis, and public health. The title of her dissertation is “Improving Text Classification Using Graph-based Methods.”
Andreea Sistrunk, advised by Naren Ramakrishnan, has earned a Ph.D. in computer science. Her research interest is in human-computing Interaction with all forms that data science takes in information processing and its impact on society. She is equally interested in education and methods leveraging the state of the art in pedagogy and andragogy in computer science, advanced math, and engineering. The title of her dissertation is “Designing Human-Centered Collaborative Systems for School Redistricting.” Sistrunk will continue her work with the Geospatial Research Laboratory in the Washington, D.C. area, as a physical research scientist.
Master of Science Degree Graduates
Cho-Ting (Amanda) Lee, advised by Naren Ramakrishnan, has earned a master’s degree in computer science. Her research interests are in data mining and machine learning, with a focus on trade data analytics and anomaly detection. The title of her thesis is “Can an LLM find its way around a spreadsheet?”
Jiayue Lin, advised by Chris North, has earned a master’s degree in computer science. His research focus is on visual analytics and artificial intelligence, with a particular interest in refining deep learning-based image projections using semantic interaction methods. The title of his thesis is “ImageSI: Semantic Interaction for Deep Learning Image Projections.”
Daniel Palamarchuk, advised by Chris North, has earned a master’s degree in computer science. His research focuses on visualizing temporal text, document, and topic data using pre-transformer embedding methods. The title of his thesis is “Temporal Topic Embeddings with a Compass.” Palamarchuk will work as a programming teacher in the Northern Virginia area and plans on pursuing a Ph.D.
Ramaraja Ramanujan, advised by Edward Fox, has earned a master’s degree in computer science. His research focuses on data analysis of geospatial and administrative data, conducting statistical verifications and simulations, and visual analytics. The title of his thesis is “Improving Rainfall Index Insurance: Evaluating Effects of Fine-Scale Data and Interactive Tools in the PRF-RI Program.” Ramanujan will join Microsoft in Redmond, Washington, as a software engineer.
Chia-Wei Tang, advised by Chris Thomas, has earned a master’s degree in computer science. His research focuses on the development of misinformation detection utilizing multimodal reasoning. The title of his thesis is “M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection.” Tang is joining Juniper Networks in Sunnyvale, California, as a software engineer.
Lemara Williams, advised by Chris North, has earned a master’s degree in computer science. Her research centers around visualizing changes in projections over time. The title of her thesis is “TimeLink: Visualizing Diachronic Word Embeddings and Topics.” Williams will continue her studies and is beginning a computer science Ph.D. program in the Fall at the Washington University in St. Louis.
Xiaona Zhou, advised by Ismini Lourentzou, has earned a master’s degree in computer science. Her research focuses on the applications of data science and machine learning. The title of her master’s thesis is “Hierarchical Bayesian Dataset Selection.” Zhou will be pursuing a Ph.D. in computer science at the University of Illinois Urbana-Champaign.
The emeritus title may be conferred on retired faculty members who are specially recommended to the board by Virginia Tech President Tim Sands in recognition of exemplary service to the university. Nominated individuals who are approved by the board receive a copy of the resolution and a certificate of appreciation.
Andreea Sistrunk’s motto, “A best solution to everything is up to us to uncover,” evolved on her path to earning a Ph.D. in computer science at Virginia Tech’s Northern Virginia campus.
“In the beginning, I found myself overwhelmed and at times discouraged by how fast technology is advancing,” she said. “As hard as I was trying, I could not get the data I needed for my work.”
Sistrunk’s research for her dissertation is at the intersection of computer science, education policy, and geographical information systems and related to Redistrict, an online software platform built by a team of researchers at the Sanghani Center for Artificial Intelligence and Data Analytics to help school districts with their rezoning efforts.
Virginia Tech will exhibit at the first AI Expo for National Competitiveness at the Walter E. Washington Convention Center in Washington, D.C., on May 7-8.
Chaired by former chief executive officer of Google Eric Schmidt, the expo serves as a forum for industry, government, and academic research entities to exhibit some of the latest technological breakthroughs in areas such as artificial intelligence (AI), biotech, energy, networks, computing, microelectronics, manufacturing, and augmented reality. Leaders will discuss these advancements and their implications for U.S. and allied competitiveness.
Hosting alongside the second Ash Carter Exchange on Innovation and National Security, the event is free and open to the public but registration is recommended. For detailed information about the event, visit the expo’s online agenda.
Laura Freeman, deputy director of Virginia Tech’s National Security Institute, will be the featured speaker at the expo’s Talent Marketplace on the first day.
Additionally, Virginia Tech organizations that lead innovative research technologies in AI will demonstrate their expertise on the following topics at the university’s booth No. 506 on May 8. Among them is the Sanghani Center for Artificial Intelligence and Data Analytics.
The initiative builds upon a consistent collaboration between the two centers that began with the inauguration of CAIA in 2021. Faculty from the two centers have been working on joint research projects that includes a National Science Foundation-sponsored Convergence Accelerator project and some faculty are members of both centers.
The American Association for the Advancement of Science (AAAS), one of the world’s largest general scientific societies and publisher of the Science family of journals, has named its 2023 class of fellows.
Six Virginia Tech researchers are named among the latest class of 502 scientists, engineers, and innovators. The newly elected AAAS Fellows represent the fields of biological sciences, chemistry, medical sciences, and engineering followed by neuroscience and physics.
“I congratulate our researchers who are being honored as lifetime fellows for their groundbreaking contributions to the scientific community,” said Dan Sui, senior vice president for research and innovation. “These highly regarded researchers are developing and improving technologies and innovations that inform new pathways in wireless communications, machine learning algorithms, mineral physics, plant metabolism, and diversifying the field of computing.”
Mehul Sanghani, chief executive officer and founder of Octo, will deliver the keynote address at Virginia Tech’s University Commencement ceremony on Friday, May 10.
Octo is a technology firm focused on solving national security’s most complex problems. In the last decade, Sanghani built and grew the company around the foundational belief of meeting, exceeding, and advancing customer missions.
Sanghani took a leap of faith founding Octo at the age of 30 with encouragement from his family and others. Since its inception in 2006, the company has experienced exponential success under his leadership.
Octo has been repeatedly recognized, catching the attention of a number of Fortune 100 companies as an acquisition target. In January 2023, IBM announced it was acquiring the company for just under $1.3 billion.
In 2021, a gift from Mehul and his wife, Hema Sanghani, also a Virginia Tech graduate, made a historic $10 million gift to their alma mater; $1.5 million of the gift was allocated to establish The Market of Virginia Tech, a first-of-its-kind on-campus food pantry to students facing food insecurity.
Ph.D. student Sumin Kang was drawn to the Department of Industrial Systems Engineering by its prestigious faculty with particular expertise in optimization for logistics problems with uncertainty.
“As a logistics enthusiast, I found their focus aligned very well with my own interests,” said Kang, who is advised by Manish Bansal, core faculty at the Sanghani Center. “And the interdisciplinary environment fostering a multi-faceted approach in problem solving at the Sanghani Center added to Virginia Tech’s appeal.”
Kang’s research interests lie in optimization under uncertainty, with a focus on network optimization problems and vulnerability analysis.
“Specifically I am interested in optimization problems with incomplete information about distributions of uncertain parameters,” he said. “These optimization problems find an application in the network interdiction problem. The network interdiction problem involves a game between two players, the interdictor and the network user, where the network user aims to minimize the objective value like traveling cost and security threat level, while the interdictor aims to maximize disruption of network.
“Solving this problem is valuable for identifying network vulnerabilities, particularly in cases of unexpected disruptions,” said Kang. “My proposed solution approaches consider the interdictor’s varying risk appetite towards unknown distributions.”
Kang’s interest in this research began as a master’s degree student in logistics at Korea Aerospace University, when he started to struggle with logistic optimization problems, he said, because despite the prevalence of real-world uncertainty, the literature mainly focused on deterministic cases due to their high complexity. This motivated him to address the gap and contribute to the domain of optimization with uncertainty for large-scale problems.