Area of research
Control and Systems Engineering · Analytical Chemistry
Research interest
Research interests include Fault Detection and Control Systems, Spectroscopy and Chemometric Analyses, Mineral Processing and Grinding, and Anomaly Detection Techniques and Applications.
IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis
Quality-driven deep feature representation learning and its industrial application to soft sensors
Pre-connected and trainable adjacency matrix-based GCN and neighbor feature approximation for industrial fault diagnosis
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis
Improved Multi-Distance ARMF Integrated With LTSA Based Pattern Matching Method and Its Application in Fault Diagnosis
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis
Co-training based virtual sample generation for solving the small sample size problem in process industry
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis
Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm
Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence
Guanidyl-functionalized polyhedral oligomeric silsesquioxane porous hybrid polymer coating for specific solid phase microextraction of phthalate esters in foodstuff
Conference: Support for the Workshop on Cyber Security
CAREER: System Software Availability Foundations for Real-time Cyber-physical Systems
Collaborative Research: Revealing Strengthening and Toughening Mechanisms in Coconut Endocarp through Integrated Multiscale Modeling and Characterization
Fungi in the pine barrens ecosystem - biodiversity, systematics and function
CAREER: Multiscale Mechanics of Bio-based, Reprocessable, Recyclable and Mechanically Robust Polymer Composites
CAREER: Multiscale Mechanics of Bio-based, Reprocessable, Recyclable and Mechanically Robust Polymer Composites
Collaborative Research: SaTC: CORE: Medium: A Networking Perspective of Blockchain Security: Modeling, Analysis, and Defense
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design
Collaborative Research: Revealing Strengthening and Toughening Mechanisms in Coconut Endocarp through Integrated Multiscale Modeling and Characterization
NSF Travel Grant Support for ACM Conference on Security and Privacy in Wireless and Mobile Networks 2020 (ACM WiSec)
RUI: Alternative splicing in the regulation of plant innate immunity
SaTC: CORE: Medium: Collaborative: Toward Enforceable Data Usage Control in Cloud-based IoT Systems
CAREER: An online global monograph of Magnaporthales - evolution, taxonomy, biogeography and biology of the rice blast fungus and allies
WSC-Category 1 Collaborative: A Surface Water Management Framework to Counterbalance Groundwater Withdrawals in Wetter Regions of the U.S.
Systematics of Magnaporthaceae: Understanding Evolution of the Rice Blast Fungus and Allied Species Using Phylogenetic, Phylogenomic and Comparative Genome Analysis
CAREER: Brain tissue regeneration after stroke
COLLABORATIVE: ABI Development: Methodology for Pattern Creation, Imprint Validation, and Discovery from the Annotated Biological Web
CAREER: Brain tissue regeneration after stroke
RUI: Cloning and Characterization of OPENED IMMATURE FLOWER