Speaker:

Sourav Medya, Assistant Professor, Department of Computer Science, University of Illinois at Chicago (UIC)

Title:

AI for Patents: Progress, Pitfalls, and Potential

Abstract:

As the volume and complexity of patent data continue to grow, artificial intelligence offers powerful tools to transform how we analyze, manage, and generate intellectual property. This talk explores how AI—through the lenses of graph learning, multimodal modeling, and large language models—can be harnessed to enhance various aspects of the patent process. First, we will discuss how graph learning can uncover hidden structures among patents and provide insights into patent valuation. Next, we will explore the role of multimodal learning in understanding design patents by combining visual and textual features for improved patent-related tasks—such as patent classification and retrieval. Finally, we examine the emerging potential of large language models (LLMs) in assisting with patent drafting and refinement, making patent drafting more accessible. Together, these approaches highlight a new frontier in AI-assisted patent systems—where multimodal patent data can be jointly leveraged to support innovation, efficiency, and decision-making in the patent ecosystem. We will conclude the talk with some interesting research directions.

Speaker Bio:

Sourav Medya is an Assistant Professor in the Department of Computer Science at the University of Illinois at Chicago (UIC). His research focuses on the problems at the intersection of graphs, machine learning, and data science with a focus on bias, fairness, and interpretability. He also builds machine learning based techniques that have high impact in the areas such as healthcare, infrastructure, and computational social science.

Before joining UIC, Sourav was a research assistant professor in the Kellogg School of Management at Northwestern University and the Northwestern Institute on Complex Systems (NICO). He received his Ph.D in Computer Science from University of California, Santa Barbara, and he received a Master of Engineering degree in Computer Science and Automation Department from Indian Institute of Science (IISc), Bangalore, India.

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91291365825
Passcode: NICO25

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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