Associate ProfessorZoran Najdovski
Associate Professor, Multipoint Haptics
Faculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
Orcid identifier0000-0002-8880-8287 (opens in a new tab)
- Associate Professor, Multipoint HapticsFaculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
- +61 3 522 72430 (Work)
- Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216
TEACHING ACTIVITIES
- UNIT TAUGHTUnit Chair, Faculty of Health, Principles of Optics HMO101 (2012 - 2017)
- CURRENT DOCTORAL SUPERVISIONAchieving Tomato Cross-Pollination through Autonomous Robotic Manipulation
- CURRENT DOCTORAL SUPERVISIONSensor Fusion and Deep Learning-Based Optimization for Obstacle Detection in Autonomous Systems
- CURRENT DOCTORAL SUPERVISIONIntelligent Robotic Teleoperation through Haptic Shared Autonomy using Hybrid Deep Learning with Multimodal Signals.
- CURRENT DOCTORAL SUPERVISIONAn advanced Deep Learning-based model for driver distraction detection and analysis
- CURRENT DOCTORAL SUPERVISIONEnhancing Self-Motion Perception in Virtual Environments Using Multisensory Haptic Stimulation
- CURRENT DOCTORAL SUPERVISIONRoboCom: Robust Low-Latency Remote Robotic Control via Deep Reinforcement Learning Enhanced Observers
- COMPLETED DOCTORAL SUPERVISIONAnalysis and Synthesis of Parallel Manipulators with a Rotation-Symmetric Arm System
- COMPLETED DOCTORAL SUPERVISIONMulti-point Haptic Interaction for Robotic Teleoperation
- COMPLETED DOCTORAL SUPERVISIONImprovement of Ride and Handling Comfort of Road Vehicles
- COMPLETED DOCTORAL SUPERVISIONHaptic Data Reduction through Dynamic Perceptual Analysis and Event-based Communication
- COMPLETED DOCTORAL SUPERVISIONRobust delay-dependent control for the stability and synchronization problems of tele-operation systems
- COMPLETED DOCTORAL SUPERVISIONModelling and Optimization of Robotic Bone Drilling and Milling Processes
- COMPLETED DOCTORAL SUPERVISIONEfficient Path Planning of Low-cost Autonomous Unmanned Aerial Vehicles (UAVs)