Area of research
Cognitive Neuroscience · Cellular and Molecular Neuroscience
Research interest
Research interests include EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural dynamics and brain function, and Functional Brain Connectivity Studies.
Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate
An Electrocorticographic Brain Interface in an Individual with Tetraplegia
Collaborative Approach in the Development of High‐Performance Brain–Computer Interfaces for a Neuroprosthetic Arm: Translation from Animal Models to Human Control
High-performance neuroprosthetic control by an individual with tetraplegia
CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and Secure Communication
CAREER: Harnessing the Interplay of Morphology, Viscoelasticity, and Surface-Active Agents to Modulate Soft Wetting
CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and Secure Communication
PIPP Phase I: An End-to-End Pandemic Early Warning System by Harnessing Open-source Intelligence
Enhancing Programming and Machine Learning Education for Students with Visual Impairments through the Use of Compilers, AI and Cloud Technologies
Collaborative Research: SHF: Small: Exploiting Performance Correlations for Accurate and Low-cost Performance Testing for Serverless Computing
Collaborative Research: A Bioinspired Approach towards Sustainable Membranes for Resilient Brine Treatment
Collaborative Research: EAGER: Enhancing Security and Privacy of Augmented Reality Mobile Applications through Software Behavior Analysis
III: Medium: Collaborative Research: Collaborative Machine-Learning-Centric Data Analytics at Scale
QCIS-FF: A Software Stack for Quantum Computing
Collaborative Research; RUI: Non-Orthogonal Multiple Access Pricing for Wireless Multimedia Communications
RAPID: Dynamic Graph Neural Networks for Modeling and Monitoring COVID-19 Pandemic
SusChEM: Direct functionalization of aldehydes enabled by aminocatalysis
NeTS: EAGER: Exploring Smart Media Pricing In QoE-Driven Network Economics To Revitalize Wireless Multimedia Resource Allocation
NSF Student Support for the 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)
ABI Innovation: Next Generation Quantitative RNA Sequence Analysis
SusChEM: Direct functionalization of aldehydes enabled by aminocatalysis
Efficient high order methods for two multiscale problems
III: Student Travel Fellowships for Knowledge Discovery and Data Mining (KDD) 2015
NeTS: Small: Collaborative Research: Cross Layer Exploration of Position-Value Diversity for Energy Constrained Wireless Multimedia Resource Allocation
NeTS: Small: Collaborative Research: Cross Layer Exploration of Position-Value Diversity for Energy Constrained Wireless Multimedia Resource Allocation
Supporting US-Based Students to Attend the 2014 IEEE International Conference on Data Mining (ICDM 2014)
III: Medium: Collaborative Research: Toward Robust and Scalable Discovering of Significant Associations in Massive Genetic Data