DrAnuroop Gaddam

Senior Lecturer

Faculty of Science Engineering and Built Environment/School of Information Technology

  • Senior Lecturer
    Faculty of Science Engineering and Built Environment/School of Information Technology
  • +61 3 924 46210 (Work)
  • Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216

BIO

As an interdisciplinary researcher and academic leader, I focus on the convergence of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and advanced outlier detection techniques. My work drives innovation in critical areas such as health informatics, the development of sustainable smart cities, and ethically-grounded Indigenous educational research. I am committed to community-led and participatory methodologies, exploring emerging technologies like Federated Learning to address complex societal challenges and foster impactful solutions.

I specialise in:

IoT: Orchestrating connected device networks for real-time data analysis.
Health Informatics: Leveraging data for better patient care and efficient healthcare systems.
Data Analysis: Mastering machine learning for pattern discovery in complex data.

My passion lies in improving healthcare, sustainable cities, and innovative IoT solutions.

DEAKIN UNIVERSITY CURRENT APPOINTMENT

  • Senior Lecturer
    Deakin University, School of Information Technology

DEGREES

  • Doctor of Philosophy
    Massey University

CERTIFICATIONS

  • Certificate in Adult and Tertiary Teaching
    Waikato Institute of Technology, Hamilton, New Zealand12 Sep 2016 - 7 Nov 2016
    This programme is designed for those engaged in adult and tertiary teaching or training. Learned the foundation knowledge, skills and attribute required for starting out in an adult and tertiary teaching or training career.

POSTGRADUATE TRAINING

  • Culturally Relevant Approach to Encourage School Children Learn Computer Science Concepts
    Victoria University of Wellington, Victoria University of Wellington, Wellington, New Zealand
    Postdoctoral FellowshipSupervised by Lundqvist KO

LANGUAGES

  • English
    Can read, write, speak, understand and peer review
  • Telugu
    Can read, write, speak, understand and peer review
  • Hindi
    Can read, speak and understand

FIELDS OF RESEARCH

  • Electronics, sensors and digital hardware
  • Data management and data science
  • Distributed computing and systems software

AVAILABILITY FOR SUPERVISION

  • Masters by Research and PhD supervision

AREA/FACULTY

  • Faculty of Science Engineering and Built Environment

DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE

  • School of Information Technology

AREAS OF EXPERTISE