Area of research
Artificial Intelligence · Information Systems
Research interest
Research focused on Reinforcement learning and Neuroscience, with related work in Artificial intelligence, Platoon, Neurogenesis. Notable publications include 'Security and Privacy in Smart City Applications: Challenges and Solutions', 'Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach', and 'Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming'.
Amyloid β–dependent neuronal silencing through synaptic decoupling
Experimental Investigations of the Rock Brittleness Evaluation Under Different Loading Conditions
Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach
Autonomous Platoon Control With Integrated Deep Reinforcement Learning and Dynamic Programming
A Behavior Decision Method Based on Reinforcement Learning for Autonomous Driving
Astrocytes exhibit diverse Ca2+ changes at subcellular domains during brain aging
Fast and Accurate Motion Correction for Two-Photon Ca2+ Imaging in Behaving Mice
Security and Privacy in Smart City Applications: Challenges and Solutions
Reduced Cerebral Oxygen Content in the DG and SVZ In Situ Promotes Neurogenesis in the Adult Rat Brain In Vivo
Dissolved oxygen concentration in the medium during cell culture: Defects and improvements