Calculated based on number of publications stored in Pure and citations from Scopus
20072024

Research activity per year

Personal profile

Personal profile

I am a dedicated and passionate roboticist committed to advancing the field of robotics through innovative research and development. With a profound interest in creating intelligent and autonomous systems, I leverage my interdisciplinary background to contribute to the intersection of robotics/mechatronics, control engineering, artificial intelligence, and cybersecurity.

I hold a PhD in Electrical Engineering from The University of New South Wales, Sydney, Australia. My academic journey has equipped me with a strong foundation in autonomous systems, providing me with the essential knowledge to address complex challenges in robotics.

My research primarily revolves around the development of intelligent robotic systems capable of perception, decision-making, and action in dynamic and unstructured environments. I am particularly interested in biomimetic intelligent learning techniques by means of neural networks and fuzzy systems to facilitate intelligent learning in aerial robotics.

Throughout my career, I have actively contributed to advancements in intelligent learning. My work on intelligent robotics stands out. I have developed a strong international reputation in the area of Unmanned Aerial Vehicles (UAVs) as evidenced by highly competitive research-intensive fellowship positions, some external and internal research funding as well as numerous publications in numerous high-impact Q1 publications in prestigious high-impact IEEE Trans journals, namely, IEEE Trans on Systems, Man, and Cybernetics: Systems, IEEE Trans on Control Systems Technology, IEEE Trans on Dependable and Secure Computing, IEEE Trans. On Fuzzy Systems, IEEE/ASME Trans on Mechatronics, to name a few, showcasing my commitment to disseminating knowledge and contributing to the academic community.

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ARC-Funded PhD Position is now available

Company Description

The Artificial Intelligence and Cyber Futures Institute at Charles Sturt University is dedicated to demonstrating how data science, artificial intelligence, and cyber security can better serve regional communities worldwide. Our goal is to maintain ethical integrity of AI-driven designs and promote inclusive interoperable AI design, relevant not only to cities but also to rural areas.

Role Description

This is a full-time on-site role for a local (domestic) PhD Student. The PhD Student will work on research related to Artificial Intelligence, and cybersecurity in robotics at the Artificial Intelligence and Cyber Futures Institute located in Canberra. The day-to-day tasks will include conducting research, developing algorithms and models, writing reports, and collaborating with other team members.

The individual selected for this role will be responsible for conducting research in cybersecurity in aerial robotics. The successful candidate will closely work with Dr. Fendy Santoso and his research team from the University of Wollongong Australia on an ARC-Linkage Project funded project, entitled: LP230100083 — Robust Defenses against Adversarial Machine Learning for UAV Systems

Benefits:

  • Full tuition fee waiver
  • Competitive stipend for living expenses of AUD 30,000 per annum for 3 years
  • Access to research funds for conference attendance and fieldwork
  • Mentorship from world-class researchers
  • Opportunities for interdisciplinary collaboration.

Qualifications

  • Postgraduate degree in Robotics, Mechatronics Engineering, Computer Science, Cybersecurity, or a related field with at least 2 years of research experience.
  • Experience with programming languages such as ROS, Python, and C++.
  • Experience with machine learning and/or cybersecurity is a plus.
  • Demonstrated research skills and a strong interest in pursuing a doctoral degree.
  • Excellent analytical, communication, and problem-solving skills.
  • The ability to work independently and as part of a team with a positive attitude.
  • A willingness to learn and adapt to new research areas and techniques.
  • Strong organizational and time management skills.
  • Publication(s) in robotics, cybersecurity, and machine learning is a plus.

How to Apply:

Interested candidates should submit the following documents:

  1. Cover Letter and Curriculum Vitae (CV) addressing academic and research qualifications (as discussed above)
  2. Statement Addresing Selection Criteria
  3. Academic transcripts
  4. Two letters of recommendation
  5. Any additional supporting documents (e.g., publications, awards)

Please email your application directly to:

Dr. Fendy Santoso

Cyber-Physical Lead, AI and Cyber Futures Institute

Charles Sturt University Australia

Email: [email protected]

Shortlisted candidates will be contacted for an interview.

Working Rights: This position is open for domestic candidates. We warmly welcome Aboriginal and Torres Strait Islander heritage, persons with disabilities, and those representing culturally diverse backgrounds to join us in creating a brighter, more inclusive future for all.

This position is open until it is filled.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Electrical Engineering, PhD, University of New South Wales

Award Date: 21 Jun 2012

Electrical Engineering, Master of Electrical and Computer Systems Engineering, Robot Aircraft Dynamic Model Identification and Autopilot Design, Monash University

External positions

Visiting Fellow, Cranfield University

Visiting Fellow, University of Cambridge

Visiting Fellow, University of New South Wales, ACT

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