Area of research
Artificial Intelligence · Electrical and Electronic Engineering
Research interest
Research interests include Indoor and Outdoor Localization Technologies, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, and Adversarial Robustness in Machine Learning.
CSECS: Covert Symbol Embedding via Chirp Signals for Integrated Sensing and Communication
RFIDNet: A Protocol for Effective Multiple RFID Readers Collaboration
DCA-KEAE: A Dynamic Context-Aware Key Exchange and Adaptive Encryption Scheme for Secure RFID Systems
ZAS-F: A Zero-Shot Abstract Sub-Goal Framework Empowers Robots for Long Horizontal Inventory Tasks
MCSMARA: A MAC Protocol for RFID Systems
Adaptive Power Control for Dense RFID Networks
NEMO: Neighbourhood‐Aware Efficient Management and Optimization in Dense RFID Systems
Resilient RFID Networks: Securing Decentralized Neighborhood-Aware Protocols
Digital Twin of Retail Stores with RFID Tags Localization
Decentralized Neighborhood Discovery and Management in Dense RFID Systems
Optimizing Adaptive Power Control for Enhancing Robustness in RFID Sensing
MapLoc: LSTM-Based Location Estimation Using Uncertainty Radio Maps
CMRM: A Cross-Modal Reasoning Model to Enable Zero-Shot Imitation Learning for Robotic RFID Inventory in Unstructured Environments
A framework for locating multiple RFID tags using RF hologram tensors
Adversarial Deep Learning for Indoor Localization With Channel State Information Tensors
Human Trajectory Completion with Transformers
Locating Multiple RFID Tags with Swin Transformer-based RF Hologram Tensor Filtering
Multi-State-Space Reasoning Reinforcement Learning for Long-Horizon RFID-Based Robotic Searching and Planning Tasks
MulTLoc: RF Hologram Tensor Filtering and Upscaling for Locating Multiple RFID Tags
Indoor Radio Map Construction and Localization With Deep Gaussian Processes
IADRL: Imitation Augmented Deep Reinforcement Learning Enabled UGV-UAV Coalition for Tasking in Complex Environments
Standards for Passive UHF RFID
Balanced Map Coverage using Reinforcement Learning in Repeated Obstacle Environments
Environmental Complexity Measurement Using Shannon Entropy
On Remote Temperature Sensing Using Commercial UHF RFID Tags
Robust RFID Based 6-DoF Localization for Unmanned Aerial Vehicles
RFHUI: an RFID based human-unmanned aerial vehicle interaction system in an indoor environment
RFThermometer: A Temperature Estimation System with Commercial UHF RFID Tags
BFVP: A Probabilistic UHF RFID Tag Localization Algorithm Using Bayesian Filter and a Variable Power RFID Model
CAREER: Linking Mechanical Forces and Energy Flow in Collective Cell Migration
Conference: Seattle Noncommutative Algebra Conference
Topics in noncommutative algebra 2022: homological regularities
Collaborative Research: SaTC: CORE: Small: Critical Learning Periods Augmented Robust Federated Learning
Collaborative Research: CCSS: When RFID Meets AI for Occluded Body Skeletal Posture Capture in Smart Healthcare
NSF Showcase for DUE Projects at the ACM SIGCSE Symposium
CAREER: Privacy-aware Predictive Modeling of Dynamic Human Events
Topics in Noncommutative Algebra
Recent Advances and New Directions in the Interplay of Noncommutative Algebra and Geometry
Recent Developments in Noncommutative Algebra and Related Areas
Collaborative Research: Real Time Spectroscopic Studies of Hybrid MOF Photocatalysts for Solar Fuel Production
Research in Noncommutative Algebra: Hopf Algebra Actions on Noetherian Artin-Schelter Regular Algebras and Noncommutative McKay Correspondence
Collaborative Research: Spatial Skills and Success in Introductory Computing
CAREER: Tuning Photoredox Properties of Carbazolic Porous Organic Frameworks for Visible-Light-Mediated Catalysis
Quantitative and Analytical Sciences for Academic Reinforcement and Success (QuASARS)
Recent Developments and New Trends in Noncommutative Algebra
TC: Medium: Collaborative Research: Multi-Perspective Bayesian Learning for Automated Diagnosis of Advanced Malware
Mathematical Sciences: Postdoctoral Research Fellowship