Neha Keshan

Neha Keshan

Neha Keshan is a Computer Science Ph.D student at Tetherless World Constellation lab advised by Prof. James A. Hendler. Her research focuses on combining knowledge representation and machine learning tools towards building a social machine for graduate mobility, currently focused on marginalized US graduate students in STEM fields. She has won a Best PhD Symposium Presentation award in WebSci ’21 and a Best Paper Award in Knowledge Graph Semantic Web Conference ’21.

She has worked on “Ontology-enabled infrastructure for integrated data resources - applied in Health Care and Materials Science research” during her first two years at Rensselaer. Prior to Rensselaer, she worked at Systems Security and Machine Learning Lab at Syracuse University and at Advanced Wireless Systems Research Center, SUNY Oswego. During this time, she worked on stress level detection in individuals and used electrocardiogram as a tool to authenticate individuals under different stress levels. She presented her work through multiple conference papers, posters, and a book chapter. She was selected for the “Global Education and Exchange Student during her Masters in Computer Application from A.K.Choudhury School of Information Technology at University of Calcutta and was a recipient of the “Overseas Endowment Travel Scholarship 2015” award.

Currently she is serving as a Web Presence and Publicity Chair for International Semantic Web Conference (ISWC) 2022, Track Chair Concierge for Knowledge Graph Conference (KGC) 2022, Treasurer for Graduate Women in Science New York Capital Region Chapter, IEEE and ACM student member, President of the Rensselaer Computer Science Graduate Council, and a Graduate Student Representative on Rensselaer Computer Science Graduate Curriculum Committee.

She hopes to touch people's lives by tackling real-world problems through research and voluntary work. She likes to spend time with her family and spends her free time with plants,nature, reading books, watching web-series and painting.

Affiliations: Tetherless World Constellation Lab, Rensselaer Polytechnic Institute

Interests: Semantic Web, Web Science, Social Machines, Knowledge Representation, Graduate Education System

Google Scholar page: https://scholar.google.com/citations?user=CqW03H0AAAAJ


Projects as Research Assistant

Our evolving semantics=driven data resource, named NanoMine, is an open access, user friendly, living, growing, data resource for the polymer nanocomposites community that is scalable and enables improved understanding of processing – structure - property relationships and thus facilitates faster

The United States’ National Institute of Environmental Health Sciences has established an infrastructure, the Children’s Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and statistical analyses aim

The MaterialsMine Team brings together expertise across five research institutions in the fields of mechanics, materials, design, manufacturing, data science, and computer science to build and develop an open-source, user-friendly materials data resource guided by FAIR principles, with current mo