Pinar Yanardag is an assistant professor in the Department of Computer Science where she leads the Generative Modeling Lab (GEM Lab) and core faculty at the Sanghani Center. Her work delves into the interpretability and explainability of generative models. She explores their applications in human-AI collaboration, creative processes, and tackles key challenges like fairness and […]

Pradyumna Upendra Dasu is a master’s degree student in the Department of Computer Science.  He is advised by Edward Fox. His primary research delves into the intricate dynamics of user experience associated with topic modeling, particularly emphasizing its application and implications for Electronic Theses and Dissertations (ETDs) as well as a broader spectrum of documents. […]

Ming Jin, an assistant professor in electrical and computer engineering and core faculty at the Sanghani Center has received a National Science Foundation grant to revolutionize the design of learning-enabled, safety-critical systems, with a special focus on power systems. The grant was awarded under the Safe Learning-Enabled Systems (SLES), a partnership between the NSF, Open Philanthropy, and Good Ventures. Jin […]

Jiazhen Hu is a Ph.D. student in the Department of Computer Science.  She is advised by Hoda Eldardiry. Her research focuses mainly on multimodal machine learning. Currently, she is working on multimodal information extraction and on zero/few-shot learning.  

Fausto J. German Jimenez is a Ph.D. student in the Department of Computer Science.  He is advised by Chris North. German’s research focuses on the intersection of machine learning, explainable AI, and interactive sensemaking to help explain the outputs of artificial intelligence models. He is interested in developing applications that leverage machine learning to assist […]

Hanwen (Zoe) Zheng is a master’s degree student in the Department of Computer Science.  She is co-advised by Lifu Huang and Chris Thomas. She is also a student in the Urban Computing Certificate Program. Her research areas include natural language processing and multi-modal learning, focusing primarily on information extraction and document-level reasoning.

Abhilash Neog is a Ph.D. student in the Department of Computer Science.  He is advised by Anuj Karpatne. Neog’s research centers around the field of science-guided machine learning. He is building hybrid-ecology-machine learning models for modeling and forecasting lake water quality to improve accuracy of current standards as well as to discover new scientific knowledge […]

Hani Alomari is a Ph.D. student in the Department of Computer Science.  He is advised by Chris Thomas. Alomari’s research lies at the intersection of natural language processing and computer vision, with a primary focus on cross-modal information retrieval. His aim is to establish nonliteral connections between different modalities.

Weijie Guan is a Ph.D. student in the Department of Computer Science.  He is advised by Dawei Zhou. His research mainly focuses on novelty detection and anomaly detection from graph machine learning to general machine learning to enable artificial intelligence systems to recognize unknown classes.

Priya Shanmugasundaram is a master’s degree student in the Bradley Department of Electrical and Computer Engineering. She is advised by Ming Jin. Her research focuses on reinforcement learning and natural language processing.