Research

Research agenda

The recurring theme is simple: if AI is going to work on scientific problems, it needs database discipline, provenance, and systems-aware execution.

Core question

How can intelligent systems plan and operate reliably across databases, APIs, models, computing resources, and scientific instruments while preserving provenance, performance, security, and human oversight?

Themes

  • Databases for agentic AI
  • Scientific AI infrastructure
  • Architecture and technical leadership
  • Knowledge graphs, workflows, and reproducibility

Selected publications

journal

Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study

K. J. Varner, L. K. Keeler Bruce, S. Soltani, W. Hartogensis, S. Dilchert, F. M. Hecht, A. Chowdhary, L. Pandya, S. Dasgupta, I. Altintas, A. Gupta · Journal of Medical Internet Research · 2025

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

journal

Biometrics of complete human pregnancy recorded by wearable devices

L. K. Keeler Bruce, D. Gonzlez, S. Dasgupta, B. L. Smarr · NPJ Digital Medicine · 2024

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

journal

General feature selection technique supporting sex-debiasing in chronic illness algorithms validated using wearable device data

J. H. Burks, L. K. Bruce, P. Kasl, S. Soltani, V. Viswanath, W. Hartogensis, S. Dilchert, F. M. Hecht, S. Dasgupta, I. Altintas, A. Gupta · npj Women's Health · 2024

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

journal

Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach

P. Kasl, L. K. Keeler Bruce, W. Hartogensis, S. Dasgupta, L. S. Pandya, S. Dilchert, F. M. Hecht, A. Gupta, I. Altintas, A. E. Mason, B. L. Smarr · Sensors · 2024

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

conference

P2KG: Declarative Construction and Quality Evaluation of Knowledge Graphs from Polystores

X. Zheng, S. Dasgupta, A. Gupta · ADBIS · 2023

Declarative construction and quality evaluation of knowledge graphs from polystore data.

  • Knowledge Graphs
  • Polystores
  • Scientific Data

journal

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

A. E. Mason, F. M. Hecht, S. K. Davis, J. L. Natale, W. Hartogensis, N. Damaso, K. T. Claypool, S. Dilchert, S. Dasgupta, S. Purawat, V. K. Viswanath · Scientific Reports · 2022

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

journal

Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study

A. E. Mason, P. Kasl, W. Hartogensis, J. L. Natale, S. Dilchert, S. Dasgupta, S. Purawat, A. Chowdhary, C. Anglo, D. Veasna, L. S. Pandya, L. M. Fox, K. Y. Puldon, J. G. Prather, A. Gupta, I. Altintas, B. L. Smarr, F. M. Hecht · Vaccines · 2022

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

conference

TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19

S. Purawat et al. · IEEE International Conference on Big Data · 2021

A big-data analytical platform for exploring and monitoring personalized multimodal wearable data.

  • Wearable Data
  • Biomedical Data
  • Scientific Platforms

conference

Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science

S. Purawat et al. · International Conference on Computational Science · 2021

A collaborative data and analysis platform for quantum materials research.

  • Scientific Data
  • Workflow Systems
  • Materials Science

conference

Ingesting High-Velocity Streaming Graphs from Social Media Sources

S. Dasgupta, A. Bagchi, A. Gupta · IEEE eScience · 2019

Streaming graph ingestion and processing for high-velocity social-media sources.

  • Streaming Graphs
  • Data Ingestion
  • Social Media

journal

PROFORMA: Proactive Forensics with Message Analytics

A. Gupta, S. Dasgupta, A. Bagchi · IEEE Security & Privacy · 2017

Message analytics for proactive forensics.

  • Security
  • Message Analytics
  • Forensics

conference

Generating Polystore Ingestion Plans: A Demonstration with the AWESOME System

S. Dasgupta, C. McKay, A. Gupta · IEEE International Conference on Big Data · 2017

A demonstration of ingestion-plan generation for the AWESOME polystore.

  • Distributed Systems
  • Polystores
  • Data Ingestion

conference

Analytics-Driven Data Ingestion and Derivation in the AWESOME Polystore

S. Dasgupta, K. Coakley, A. Gupta · IEEE International Conference on Big Data · 2016

Analytics-driven data ingestion and derivation methods for the AWESOME polystore.

  • Database Systems
  • Polystores
  • Query Processing

Recent blogs