Area of research
Genetics · Pulmonary and Respiratory Medicine
Research interest
Research interests include Glioma Diagnosis and Treatment, Brain Metastases and Treatment, Gastric Cancer Management and Outcomes, and Radiomics and Machine Learning in Medical Imaging.
Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead
A prospective phase II randomized trial of proton radiotherapy vs intensity-modulated radiotherapy for patients with newly diagnosed glioblastoma
Proton therapy reduces the likelihood of high-grade radiation-induced lymphopenia in glioblastoma patients: phase II randomized study of protons vs photons
Assembling the brain trust: the multidisciplinary imperative in neuro-oncology
Resection of gliomas deemed inoperable by neurosurgeons based on preoperative imaging studies
Surgical assessment of the insula. Part 2: validation of the Berger-Sanai zone classification system for predicting extent of glioma resection
Neurocognitive Function in Newly Diagnosed Low-grade Glioma Patients Undergoing Surgical Resection With Awake Mapping Techniques
CAREER: Computationally Illuminating the Molecular Interplay between N-glycosylation and Ion Channel Gating
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
Collaborative Research: SAI: Planning for Electric Vehicle Charging Infrastructure
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
FET: CCF: Small: Computational Drug Prediction through Joint Learning
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
AF: Small: Homogeneous and Heterogeneous Network Learning with Applications in Computational Biology
Developing Highly Luminescent Materials for Low-Cost and Energy-Efficient Lighting Applications
EARS: Enhancing Spectrum Efficiency of Autonomous and Agile Hybrid FSO/RF Systems
Crystalline Hybrid Semiconductors: A systematic Approach to Develop Nanostructured Materials with Enhanced Properties and New Functionality
CAREER: Transfer Learning Based Quality Improvement in Spatially-Temporally Complex Systems
A Conference on New Frontiers in Numerical Analysis and Scientific Computing