Search Results for "-㎞구글-찌라시-@hhu9999-부산달리기1페이지노출-.mvn"

Hulya Dogan

Hulya Dogan was a master’s degree student in the Department of Computer Science.  Her advisor was Ismini Lourentzou. Dogan’s research interests are social media analysis, machine learning, and natural language processing.  Her current research focuses on extracting information and developing insight from social media on current social issues.

Meghana Holla

Meghana Holla was a master’s degree student in the Department of Computer Science. She was advised by Ismini Lourentzou. Holla’s research focuses on machine learning and deep learning applied to natural language processing and multimodal problems at the intersection of language and vision.

Gaurang Karwande

Gaurang Karwande was a master’s degree student in the Bradley Department of Electrical and Computer Engineering. He was advised by Ismini Lourentzou. Karwande’s research focus is in the field of artificial intelligence and its applications in healthcare, more specifically medical imaging and precision medicine.

Xavier Pleimling

Xavier Pleimling is a Ph.D. student in the Department of Computer Science.  His advisor is Ismini Lourentzou. His research interests are data analytics and machine learning, and most recently, is focused on data quality and finding a uniform definition for it based on commonly observed data quality challenges.

Sanghani Center Student Spotlight: Hongjie Chen

Hongjie Chen’s Ph.D. research in computer science lies in the areas of graph neural networks, time-series analysis, and recommendation systems.  “More specifically, I am currently working on time-series forecasting which is really useful in everyday life,” Chen said. “I am targeting accurate workload prediction in Cloud computing nodes.” He said he was drawn to the Sanghani […]

Mohammad Hesam Soleimani-Babakamali

Mohammad Hesam Soleimani-Babakamali is a Ph.D. student in the Charles E. Via Department of Civil and Environmental Engineering. He is advised by Ismini Lourentzou. His research is focused on using artificial intelligence for anomaly detection with structural health monitoring (SHM) data.  

Immersive Analytics 2.0: Spatial and Embodied Sensemaking

Barrett Ens, Maxime Cordeil, Chris North, Tim Dwyer, Lonni Besançon, Arnaud Prouzeau, Jiazhou Liu, Andrew Cunningham, Adam Drogemuller, Kadek Ananta Satriadi, Bruce H. Thomas: Immersive Analytics 2.0: Spatial and Embodied Sensemaking. CHI Extended Abstracts 2022: 91:1-91:7

Sanghani Center Student Spotlight: Sijia Wang

The Spring 2022 semester was a memorable one for Ph.D. student Sijia Wang. The Association for Computational Linguistics (ACL) accepted the paper, “Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding,” which she is presenting on May 24 during its international meeting in Dublin.  And she is part of the Virginia Tech team from the Sanghani Center that is one of […]

Virginia Tech alumna named ethics co-chair for leading conference in artificial intelligence and machine learning

Virginia Tech alumna Cherie Poland has been named one of four ethics co-chairs for the 36th Conference on Neural Information Processing Systems (NeurIPS), the most prestigious conference in artificial intelligence and machine learning (AI/ML).   This is the latest entry on Poland’s list of achievements. To name only a few, she was issued one European patent and had five of her […]

Stephen Sun

Stephen Sun was a master’s degree student in Department of Computer Science. He was advised by Chang-Tien Lu. His primary research interest is social media analytics.