Our research has been supported by the National Science Foundation (NSF), the US Department of Education, and the Institute of of Health Informatics at Florida Polytechnic University. Here, some of our research topics.
New Projects
Title: Software Development Life Cycle Automation, using Agentic-AI
Sponsor:: Pending
Duration: 2/2025-
Role: PI
Title: Agentic AI Assisted Personalized Learning Paths in STEM education
Sponsor:: Partially funded by Florida Polytechnic Univesity
Duration: 3/2025-
Role: PI/Co-PI
Past funded Projects
Title: Incentive Mechanisms for Mobile Crowdsourcing, Reaching Spatial and Temporal Coverage Under Budget Constraints. Check the video here
Sponsor:: National Science Foundation (NSF)
Duration: 2/2018 - 2/2022
Role: PI
Title: Cyber-physical System for Just-in-time interventions
Sponsor:: Institute of Health Informatics Florida Polytechnic Univeristy.
Duration: 2/2018 - 2/2019
Role: PI
Title: Using web based technology to improve calculus instruction at UPRH
Sponsor:: US Department of Education, Minority Science and Engineering Improvement Program (MSEIP)
Duration: 2/2005 - 2/2008
Role: Co-PI
Research Topics
Intelligent Mobility and Mobile Crowd-Sensing
My research lies in the intersection of pervasive computing, and cyber-physical systems for health. In terms of pervasive computing, my work focuses on topics such as: Design of data price strategies, incentive mechanisms, and Crowd-sourcing schemes for the deployment of mobile sensor networks applications.
Mobile Cyber-physical systems for Just-in-time Interventions
Most of my research focuses on Mobile Health technologies (e.g., smartphones, cloud computing, wireless health sensors) that provide capabilities for widely disseminated and personalized interventions. We want to develop interventions with the ability of adapting over time to an individual to give the "right" feedback at the "right" time and within the "right" context to promote behavior change.
Cyber-Security
Additionally, I’m working on the design of privacy preserving mechanism for Crowd-sensing. My work in this area includes the design of intrusion detection methods for MANET networks. One of the main challenges in this field is to reconcile the need of using the participant’s location and identity, and to protect this data from external attackers, at minimum cost, namely using minimum network overhead, and energy.
The significance of my research contributions has been demonstrated in the form of journals, and conference papers. The list includes journal publications such as: IEEE Internet-of-Things Journal, IEEE Transactions on Affective Computing, IEEE Latin America Transactions, Elsevier Pervasive and Mobile Computing Journal, and around thirty high impact refereed conferences such as: ACM-Wireless Health, ACM-BodyNets, IEEE PerCom, IEEE ICC, and IEEE CNCC.
