DrBipasha Kashyap

Lecturer, Mechatronics

Faculty of Science Engineering and Built Environment/School of Engineering

  • Lecturer, Mechatronics
    Faculty of Science Engineering and Built Environment/School of Engineering
  • Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216

TEACHING EXPERTISE

My teaching philosophy is to make engineering theory visible through practice. My industry background as a software and hardware engineer shapes the authentic, project-based learning in my units. I use constructive alignment, active studios, authentic projects and feedforward feedback so students can connect weekly learning with real engineering problems. I scaffold learning carefully for diverse cohorts, particularly postgraduate and international students, while maintaining high academic and professional standards.

Units taught:

  • SEE711 IoT Systems Engineering (Unit Chair, postgraduate, 2023–present)
  • SEE712 Applied Signal Processing (Unit Chair, postgraduate, 2023–present)
  • SEE312 Data Communications (Lecturer, undergraduate, 2023–present)
  • SEE216 Analogue and Digital Electronics (Lecturer, undergraduate, 2023–2025)
  • SEN721 Engineering Design (Space Technology for Healthcare) (Lecturer, postgraduate, 2023)

I designed IoT Systems Engineering and Applied Signal Processing from scratch for the new Robotics and Automation Engineering specialisation, in which both are core postgraduate units. The units replaced two entirely different offerings. Since their development, both have achieved 100% overall student satisfaction in student evaluations, and student satisfaction was 100% across all five units I taught from 2023 to 2025. In 2026 I received the Faculty of Science, Engineering and Built Environment (SEBE) Teaching Excellence Award, presented through the Faculty of SEBE Academic Staff Awards, in recognition of my contribution to teaching and its impact on students.

 

Supervision and recognition:

I have supervised more than 20 final-year projects (FYP) for undergraduate and postgraduate engineering students, and my PhD students have published in first-quartile (Q1) journals. I am currently supervising four PhD candidates and was associate supervisor for the 2026 PhD completion of Dr Pubudu Indrasiri. I have also supervised 12 Master's students (one Best Project Award, five High Distinctions) and 12 Honours students (five Distinctions/ High Distinctions, three progressed to PhD). My FYP student Vincent Chepkwony received the School of Engineering Postgraduate Student Project Excellence Award for his SEN720 project, an award I also received as a student, and now works in industry. I hold a Graduate Certificate of Higher Education (Teaching and Learning) from Deakin and am a Fellow of the Higher Education Academy (UK).

 

Teaching impact:

Students carry this learning into industry. In 2026 a postgraduate student applied the frequency-domain analysis and digital filtering taught across IoT Systems Engineering and Applied Signal Processing to a weighing problem from his previous employment in load-cell manufacturing. His former team reported a significant improvement in conveyor-belt weight readings, where some customers required an accuracy of 0.05 g, and he is now developing customised filters for different operating environments.

TEACHING ACTIVITIES

  • CURRENT DOCTORAL SUPERVISION
    Exploring Quantum Machine Learning Architectures for Quantitative Assessment in Healthcare Applications'
    Thi Nguyet Ha Tran - School of Engineering
  • CURRENT DOCTORAL SUPERVISION
    Development of advanced AI and ML based biomedical signal and image processing techniques to reduce ALARA in disease detection
    Saranya Elumalai - School of Engineering
  • CURRENT DOCTORAL SUPERVISION
    An Artificial Intelligence-Driven Framework for Workload Optimisation in Cloud-Edge Ecosystems
    Md. Khorshed Alom - School of Engineering
  • CURRENT DOCTORAL SUPERVISION
    Multimodal Non-Invasive Assessment of Induced Fatigue using Sweat and Gait Biomarkers
    Saveri Singh - School of Engineering
  • COMPLETED DOCTORAL SUPERVISION
    Deep Learning in the Internet of Things for Addressing Data Security, Scarcity, and Efficacy
    Pubudu Lasith Indrasiri Ranpati Dewage - School of Engineering - 2026