Project Gallery
The Floating Solar Explorer
Visualizing the energy-generation opportunities and potential economic impact of adopting floating solar on human-made water reservoirs
The Rensselaer IDEA-developed Floating Solar Explorer app helped the City of Cohoes, NY win a one-of-a-kind economic development grant, announced in May 2022.
BlockIoT
BlockIot is an interoperable, and decentralized way to connect medical IoT devices and health records systems systems.
Data INCITE
Data Informatics Challenges in Technology Education
The Rensselaer Data INCITE pipeline for undergraduate data science education consists of an early data analytics course followed by applied data science research experiences on real-world problems. Data INCITE results in data science skills and prompts students to pursue further coursework and careers in data science.
HEALS
Health Empowerment by Analytics, Learning, and Semantics
The HEALS project applies advanced cognitive computing capabilities to help people understand and improve their own health conditions. In particular, we are exploring areas including personalized and mobile medical care, improved healthcare analytics, and new data-based approaches to driving down the cost of medical care.
SCALES
Smart Contracts Augmented with LEarning and Semantics
This project addresses the challenge of agent driven smart contracts on the blockchain with semantics, advances in machine learning, and state of the art in multi agent systems research.
SCIENCE with Blockchain
This is a research project to develop a trustworthy, accountable, data sharing eco-system for biomedical research that utilizes knowledge representation and blockchain technologies to address the challenge of the costly and time-consuming effort needed to bring a biomedical innovation from the bench (basic research) to bedside (clinical level).The RPI Mars Data Explorer
Mars 2020 on the Campfire: An Interactive Data Visualization and Analysis Platform
The Mars Data Explorer aims to transcend traditional data presentation methods by integrating this geolocated, multi-faceted dataset atop an interactive map that traces the rover’s journey across the Martian landscape. Our platform significantly reduces the time from acquisition of raw data to its interactive visualization, enabling immediate insights and fostering a dynamic environment for scientific discovery. By leveraging cutting-edge data analytics techniques and sophisticated visualization tools, our project offers a comprehensive and intuitive exploration of the chemical and mineralogical composition of Mars’ surface. The interactive map not only contextualizes the spatial distribution of analyzed samples but also enables users to engage with the data in an immersive way. Users can select and zoom into specific sampling and analysis locations along Perseverance’s path, access detailed analyses from SHERLOC and PIXL, and visualize comparisons across datasets and samples for real-time data exploration Our approach emphasizes the combination of analytical rigor with dynamic visualizations for deeper data exploration and hypothesis testing in a visualization-enabled, group contribution environment. This process accelerates discovery, fosters cross-disciplinary collaborations, and serves as an example for ongoing and future astrobiology and planetary science missions. “Mars 2020 on the Campfire: An Interactive Data Visualization and Analysis Platform” project highlights the transformative power of data visualization and analytics and how the addition of these tools can change the dynamics of interdisciplinary collaboration in science.