Jiang Liu (he/him) is a fifth-year Electrical and Computer Engineering Ph.D. student at Johns Hopkins University. He is advised by Bloomberg Distinguished Professor Rama Chellappa and is expected to graduate in 2024. His research focuses on developing responsible and trustworthy AI systems, such as computer vision algorithms that are robust to adversarial attacks; facial privacy protection techniques to protect individuals from being identified by unauthorized face recognition systems; and multi-modal AI algorithms that can understand both vision and language. Jiang Liu received his Master’s degree in Engineering from Johns Hopkins University in 2021 and a Bachelor’s degree in Engineering from Tsinghua University in 2019. He grew up in Guangxi, China. In his spare time, he enjoys cooking, hiking, traveling, and spending time with his cute Shiba Inu dogs Leo and Tsuki.

Ambar Pal (he/him) is a final year Ph.D. student in the Department of Computer Science, advised by René Vidal and Jeremias Sulam. His research focusses on the theory and practice of safety in AI. Pal’s central philosophy is that incorporating structural constraints from data can efficiently mitigate vulnerabilities in current ML systems to malicious agents. On the theoretical side, he has built frameworks formalizing how exploiting structure in data (e.g., low dimensionality) can lead to improved formal guarantees for safety. On the practical side, he has demonstrated the utility of such data-driven constraints for systems used for image and graph classification. Pal is from New Delhi, India. He received his Bachelor’s degree from IIIT Delhi, India and his Master’s degree from Hopkins. In his spare time, he enjoys biking and studying microscopic organisms.

Personal Website: https://www.cis.jhu.edu/~ambar/

Aniket Roy (he/him) a fourth-year Ph.D. student in the Computer Science Department advised by Bloomberg Distinguished Professor Rama Chellappa. He is currently working on Computer Vision and Machine Learning, specifically on a few-shot learning, multimodal learning, generative AI, including diffusion models and large language models. Roy also has a Master’s degree from Indian Institute of Technology, Kharagpur. Roy is originally from the city of Joy, Kolkata. In his spare time, he enjoys travelling and listening to music.

Xhuan Zhang (she/her) is a fifth-year Ph.D. student in the Computer Science Department advised by Dr. Kevin Duh. Her current research is focused on sign language processing and machine translation. Sign language processing is the task of recognizing and translating sign language videos to spoken languages. Common tasks under the realm of SLR include sign language detection, segmentation, production, recognition, and translation. Zhang also has both a Master’s and Bachelor’s degree in Computer Science. She is originally from Hohhot, Inner Mongolia, China. In her spare time she enjoys learning ASL and Japanese and is also practicing Kendo.