Lightning Talks with 2022 Amazon Fellows

February 23, 2023

In 2021 Amazon and UCLA collaborated to establish the Science Hub for Humanity and Artificial Intelligence. In December 2022, the Science Hub advisory group selected their second group of Amazon Fellows, 13 among 44 nominations, for 2022, all Ph.D. students from the UCLA Samueli School of Engineering.

Capturing our imaginations during a round of lightning talks, they presented their research, which spans machine learning, natural language processing, robotics, and beyond. Each fellow wrapped up their presentation with a brief Q&A session.

Lightning Talks introductory slide

2022 Amazon Fellows’ Individual Slide Decks

Senae Amani Geshnigani

Advisor: Lin Yang

Learning in safety-critical, multi-agent, and lifelong systems: Bandits and RL approaches

Kewei Cheng

Advisor: Yizhou Sun

Neural-Symbolic Reasoning Over Knowledge Graph

Zi-Yi Dou

Advisor: NANYUN (VIOLET) PENG

Pre-training End-to-End Vision-Language Transformers

Kai Fukami

Advisor: PROF. KUNIHIKO TAIRA

Developing artificial-intelligent techniques for turbulence

Luzhe Huang

Advisor: AYDOGAN OZCAN

GedankenNet: Self-supervised learning in computational microscopy

Alexander Johnson

Advisor: ABEER ALWAN

Towards Inclusive Automatic Assessments of Children’s Oral Language Development

Tung Nguyen

Advisor: ADITYA GROVER

Foundation models for weather and climate

Alexander Schperberg

Advisor: DENNIS HONG

Autonomous Locomotion and Manipulation of Robotic Systems

Zhouxing Shi

Advisor: CHO-JUI HSIEH

Evaluation, Verification, and Training for Robust Machine Learning

Zhaoqiang Wang

Advisor: LIANG GAO

3D fluorescent microscopy at kilohertz volume rate

Yu Yang

Advisor: BAHARAN MIRZASOLEIMAN

Efficient and Robust Deep Learning on Large Data

Da Yin

Advisor: KAI-WEI CHANG

Building Generalizable and Inclusive Language Processing Models Across Tasks and User Groups

Zhe Zeng

Advisor: GUY VAN DEN BROECK

Probabilistic Inference with Constraints and its Applications