Recent research:
Technological advances are advancing ESL pronunciation training through immersive, AI-driven VR environments, real-time feedback, and cloud-backed analytics to promote autonomous language learning. Across numerous projects, the researcher designs and validates immersive educational tools (Unity-based 3D environments, VR headsets, AR/VR for medical and industrial training) that leverage AI/ML for real-time analysis, feedback, and adaptation, enabling personalized practice, performance assessment, and engaging learning contexts. The work spans educational technology, XR, and learning analytics, while also applying ML/DL methods to optimize energy systems, robotics, smart grids, IoT-enabled industrial processes, and digital twins. Methodologies include prototype development, user studies, ISA-95/OPC UA compliant architectures, ROS-based monitoring, DQN/ANN-based control and path planning, fuzzy logic controllers, and data-driven fault diagnosis. Impact is demonstrated via high user acceptance, improved training efficiency, enhanced fault detection, greater energy efficiency, and empowered autonomous systems, with strong emphasis on accessibility, inclusivity, and industry-ready digital transformation.

Key Topics:

• Educational Technology, Gamification, XR & Learning Analytics
• Artificial Intelligence, Machine Learning & Data Science
• Power Systems, Renewable Energy & Microgrids
• Control Systems, Automation & Industrial Control (SCADA/PLC)
• Robotics, Autonomous Systems & Control
• Smart Grids, IoT, Edge/Fog & Industry 4.0
• Sensors, Instrumentation & Measurement Systems
• Industrial Digital Twin, AR/VR/IoT for Industry
• Education, Pedagogy, Teacher Training & Inclusion