Parham Kebria

Curriculum Vitae

🎓 Education

  • Ph.D. in Information Technology, Deakin University, Australia, 2016 — 2020
  • M.Sc. in Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnique), 2012 — 2014
  • B.Sc. in Electrical Engineering, Imam Khomeini International University, 2007 — 2011

🚀 Experience

  • Associate Research Scientist, North Carolina Agriculture & Technical State University (2024 — present)
  • Senior Data Scientist, The University of Queensland (2024 — 2025)
  • Lead Machine Learning Engineer, Australian Bureau of Statistics (ABS) (2023 — 2024)
  • Research Fellow in AI and Robotics, Deakin University | Australian Department of Defense (2019 — 2023)
  • Alfred Deakin Postdoctoral Research Fellow, Deakin University (2020 — 2022)

🔧 Projects

  • Please check out the projects I have significantly contributed to over the years!

📚 Publications

  • Please see the full list of my publications, mostly in robotics and AI: Google Scholar.

💻 Skills & Tech Stack

Programming Languages

Python C++ MATLAB R C# HTML Swift

Cloud & Development Tools

AWS Docker Git GitHub GitHub Copilot Linux

Robotics & Control Systems

ROS ROS2 V-REP Gazebo Simulink Arduino Raspberry Pi

AI/ML & Deep Learning

TensorFlow PyTorch Keras Scikit-learn OpenCV Hugging Face

Foundation Models & Generative AI

ChatGPT LangChain Transformers BERT GPT RAG Pinecone ChromaDB FAISS

Data Science & Visualization

Pandas SQL MySQL NumPy SciPy Jupyter Plotly Matplotlib Seaborn

🥇 Awards and Honors

  • Best Paper Award Nominee, IEEE ICRA 2023 Robotics for Healthcare Workshop.
  • Highly Appreciated Collaborative Researcher of 2022, IISRI, Deakin University.
  • Essington Lewis Award 2021 (support/services), Australian Department of Defence.
  • Alfred Deakin Postdoctoral Research Fellowship 2020, Deakin University.
  • Shortlisted for Alfred Deakin Thesis Medal 2020, Deakin University.
  • Highly Cited Paper on "Imitation Learning for Autonomous Vehicles", ESI Index, 2019.
  • IEEE RAS Student Travel Grant, IEEE CASE 2019.
  • Best Student Paper Nominee, IEEE CASE 2018 Robot Learning and Control.
  • PhD Research Scholarship – International, Telstra Haptic Project, 2016‑2019.
  • Exceptionally Talented Student in EECS, Amirkabir University of Technology (Tehran Polytechnique), 2014.

🎤 Invited Talks

  • “Foundations of Deep Learning and Image Classification”, NATO SPS Workshop for Disaster Management, 2025.
  • “Deep Learning and Control in Autonomous Systems”, IEEE SMC Summer School, 2024.
  • “Deep Learning and Control in Autonomous Systems”, IEEE SMC Summer School, 2023.
  • “Robust Teleoperation” at IEEE ICRA, IEEE Robotics and Automation Society, London, UK, May 2023.
  • “Human‑Robot Collaboration for Reducing Work‑Related Injuries”, WorkSafe Victoria, Australia, February 2023.

🤝 Professional Memberships

  • IEEE SMC Special Session on Securing Trust and Resilience in AI‑Driven Autonomous Systems SMC 2025
  • IEEE Senior Member, SMC, CS, and RAS Societies
  • Deakin University Human Ethics Advisor and Reviewer 2020 — 2023
  • Vice President IEEE Student Branch of Deakin University, Australia 2017 — 2019

👐 Volunteer

  • Reviewer for IEEE Trans. on Cybernetics, Neural Networks and Learning Systems, IEEE Robotics and Automation Letters (RA-L), ICRA, CASE, SMC, Robotics and Autonomous Systems Journal, Robotics and Intellijent Systems.
  • DS and ML Engineer, Barwon Centre for Orthopaedic Research and Education (B‑CORE), Barwon Health and St John of God Hospital 2022 — 2024.
  • Robotics and ML Engineer, School of Psychology, Faculty of Health, Deakin University 2022 — 2023.
  • Organizing Committee Member for IEEE SMC 2021, Melbourne, VIC, Australia.
  • Human Ethics Advisor and Reviewer, Deakin University 2020 — 2023.