Dr. Chaterji is recognized as a pioneer in bringing data analytics to IoT systems, concurrent with resilience and security concerns. This is increasingly important as the world moves toward IoT systems that demand high criticality, whether in battlefields (Internet of Battlefield Things, IoBT), civilian relief and rescue (e.g., drone-based surveillance), or digital agriculture (Internet of Small Things, IoST) [Read more about her NSF-CAREER project here and here]. Her work allows these systems to be deployed in spaces where there is unstable or bandwidth-constrained network or energy-constrained sensor nodes [Why on-device computing?].

Dr. Chaterji's work in this space has developed the first distributed cloud database, uniquely tailored to handle IoT data (dynamic, time-varying streaming data with anomalies). This database is automatically reconfigured to meet low latency/high throughput user requirements, even as the application patterns change, often unpredictably. Dr. Chaterji has developed data-driven techniques to rightsize computer vision algorithms to mobile GPUs and IoT nodes, enabling these intensive ML algorithms to execute on IoT systems. This has resulted in KeyByte, her academic startup founded in 2021, for complex and time-varying workloads from ML applications.

In computational genomics, Dr. Chaterji's work has created a software suite that can lead to precision RNA therapeutics (with lower off-targeting) and interpretable clusters of cells from scRNA-seq data. Dr. Chaterji has also created the first domain specific language (DSL) for genomics to speed up the design and evolution of new computational genomics algorithms.