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SalsaBot

The SalsaBot team consists of talented students from Ohio State University.

By Ohio State University
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Just as the name says, the team strives to build a robot that is great companion to everything and everyone. Equipped with state-of-the-art technologies from natural language processing, computer vision, and human-machine interaction, SalsaBot will assist humans to achieve more while also continuously improving itself along the way.

osu_salsabot_teamimage.jpg
Location: Columbus, Ohio
Faculty advisor: Yu Su

Chan Hee (Luke) S. — Team leader

Chan Hee is a 2nd year CS PhD student advised by Professor Yu Su in the Ohio State University. His current work focuses on developing a method for efficient and accurate completion of a long-horizon vision and language tasks. He is broadly interested in knowledge base construction/reasoning and vision-and-language navigation. Before his PhD, Chan Hee has graduated with a Bachelor of Computer Science from University of Notre Dame and has worked as a research intern in Johns Hopkins University HLTCOE.

Goonmeet B.

Goonmeet is a Computer Science and Engineering PhD student advised by Srinivasan Parthasarathy. She has been working on knowledge gap identification, detection, and resolution in Visual Question Answering (VQA) Systems and information extraction with publications at CVPR, topiCS, and PLOS One. She has interned at Nokia Bell Labs and National Library of Medicine.

Sean C.

Sean is a Ph.D. student in the Department of Computer Science and Engineering at OSU, working with Dr. Srinivasan Parthasarathy as my advisor. He completed his B.S. at the University of Arizona in May 2020 as a double major in Mathematics and Information Science and Technology. His current research focuses on machine learning applications for fluid mechanics, fair graph embedding learning, and knowledge gap detection, identification, and resolution for VQA models. His general research interests revolve around methods of incorporating prior information, knowledge, and constraints into machine learning architectures and AI systems.

Jihyung K.

Jiyhung is a Ph.D. student in the Department of Computer Science and Engineering at the Ohio State University, advised by Wei-Lun (Harry) Chao. Jiyhung is broadly interested in machine learning and its applications to Computer Vision and Natural Language Processing. Recently, Jiyhung has focused on Vision and Language, especially for Visual Question Answering, Zero-Shot Learning, and Vision Language Navigation.

Vardaan P.

Vardaan is a third year Ph.D. student in CSE at The Ohio State University. Vardaan's research focus is on knowledge base reasoning, graph representation learning and natural language processing. For this project, Vardaan will be working on knowledge bases, neuro-symbolic reasoning, and the state representation. Vardaan is also interested in scaling machine learning models to large-scale datasets.

Samuel S.

Sam is a first-year PhD student studying natural language processing under Dr Yu Su at the Ohio State University. He has experience interpreting pre-trained language models and semantic parsing, and extensive industry experience, with internships at GE Aviation, Microsoft and SpaceX.

Yu Su — Faculty advisor

Yu Su is an assistant professor in the Department of Computer Science and Engineering at the Ohio State University. Before coming to OSU, he was Senior Researcher at Microsoft Semantic Machines working on conversational AI. He got his PhD from University of California, Santa Barbara and his bachelor degree from Tsinghua University, both in Computer Science.

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Ohio State University

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