Research Highlights:

• Independent and creative researcher with 6+ years of research experience in:

  • designing and conducting large-scale user studies with sensors such as eye-tracker, thermal cameras, web-camera, Electrodermal Activity (EDA) sensors, and wearable devices such as Empatica.

  • analyzing multimodal/multichannel datasets using computational techniques from data science and AI.

  • generating insights for improving teaching and learning in higher education, and designing adaptive learning technologies.

• Led 7+ Research Projects and collaborated on more than 12+ Projects with researchers from academia (in and outside Australia), industry (Adobe Research), and non-profit organizations (Code Like a Girl).

• Excellent communication and presentation skills with demonstrated experience in presenting at premier international conferences, University's Open Day events, and being a speaker, panelist, and invited guest lecturer for education-focused events.

Field of research: Human-computer interaction (HCI), Data Science, Learning Analytics, and Readability Research

Techniques: Applied Machine learning, Descriptive Analytics, Statistical Inference, Data-mining

• Well-trained in the theory and application of statistics and machine learning.

• Strong analytical, computational, and quantitative abilities.

• Proficient in Python (data manipulation, visualization, machine learning), R (statistical analysis, EDA, and data visualization), and SQL (data extraction from databases).

• Highly motivated to learn any language or skills depending on the specific needs and requirements of the project at hand.