Area of research
Computational Mechanics · Atmospheric Science
Research interest
Research interests include Computational Fluid Dynamics and Aerodynamics, Fluid Dynamics and Turbulent Flows, Meteorological Phenomena and Simulations, and Lattice Boltzmann Simulation Studies.
Collaborative Research: Elements: OpenMSG: a cloud-based multiscale modeling toolkit for heterogeneous materials and structures
CDS&E: Detection, Instance Segmentation, and Classification for Astronomical Surveys with Deep Learning (DeepDISC)
WoU-MMA: Dwarf AGNs from Variability for the Origins of Seeds (DAVOS)
WoU-MMA: Frequency and Abundance of Binary sUpermassive bLack holes from Optical Variability Surveys (FABULOVS)
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
CONFERENCE: 2019 Gordon Research Seminar on RNA Editing to be held March 23-24, 2019 at the Renaissance Tuscany Il Ciocco in Lucca, Italy
NeTS: Small: Learning-Guided Network Resource Allocation: A Closed-Loop Approach
EARS: Utilizing Diverse Spectrum Bands in Cellular Networks - A Unified Information Learning and Decision Making Approach
WiFiUS: Collaborative Research: Data-Guided Resource Management for Dense Heterogeneous Networks
CIF: Small: The Power of Online Learning in Stochastic System Optimization
NSF Workshop on Information and Communication Technologies for Sustainability (WICS)
NeTS: Small: Beyond Listen-Before-Talk: Advanced Cognitive Radio Access Control in Distributed Multiuser Networks
Travel Grant for DySPAN 2008
CAREER:Smart-Radio-Technology-Enabled Opportunistic Spectrum Utilization