About

Arjun Akula is a Research Scientist at Google AI with a focus on computer vision, natural language processing (NLP), statistical modeling and inference, and deep learning. He obtained his PhD from UCLA under the joint supervision of Prof. Song-Chun Zhu (UCLA) and Prof. Joyce Chai (UMich). Arjun's research interests lie in the areas of interpretability, robustness, and trust in vision & language grounding models. He has a personal web page and a Twitter account where he shares his work and insights. Arjun has 3.87 years of relevant experience in the field. He has worked as a Research Intern at Amazon and Google, where he worked on identifying biases in Vision-Language-Navigation models and proposed a visual question generation (VQG) module for cross-dataset adaptation capabilities of VQA models. Arjun's educational background includes a Doctor of Philosophy - PhD in Statistics & Computer Science from the University of California, Los Angeles and a Master of Science (MS) in Computer Science and Engineering and a Bachelor of Technology (B.Tech) in Computer Science and Engineering from IIIT Hyderabad. Arjun's tech stack includes Research Scientist, NLP, AI, Computer Vision, Deep Learning, Web, and test.