Foundations of mechanics
Newtonian mechanics, reference frames, conservation laws, forces, energy and quantitative problem solving.
My teaching approaches physics through observation, mathematical reasoning, experiments, electronics and the design of practical systems.
Sensors, instrumentation and data acquisition
Sensor characteristics, calibration, signal conditioning, measurement uncertainty, data collection and analysis.
Electronics and communication
Analogue and digital circuits, data communication techniques, signal processing and electronic interfacing.
Robotics, IoT and applied systems
Microcontrollers, communication protocols, instrumentation, automation and project-based experimentation.
Teaching practice
I emphasize concept-first explanations supported by diagrams, physical demonstrations, worked problems and laboratory investigations. Laboratory learning includes guided independent work, accessible equipment and design problems with realistic constraints.
Student research and supervision
Potential projects span low-cost printed electronics, laser-processed materials, electromechanical reliability, sensors and embedded instrumentation. Project scope and availability depend on laboratory capacity and current supervision commitments.