CV
Contact Information
| Name | Arunkumar Rathinam |
| Professional Title | Research Scientist |
| Location | Luxembourg |
| arunkumar.rathinam@uni.lu | |
| Website | https://arunrathinam.github.io |
Summary
Research Scientist at SnT, University of Luxembourg, working at the intersection of computer vision and space robotics, with a focus on bridging the gap between simulation and real data for spacecraft pose estimation and autonomous relative navigation.
Research Interests
- Computer Vision for Space Robotics, 6DoF Pose Estimation, Unsupervised Domain Adaptation, Space Situational Awareness (SSA), On-board AI / Edge Computing, Small Body Exploration, and Autonomous Relative Navigation.
Education
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2015 - 2019 Sydney, Australia
PhD
UNSW Sydney
Space Robotics
- Thesis: Small Body Gravimetry using SLAM-based Autonomous Navigation.
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2012 - 2015 Würzburg, Germany
M.Sc.
University of Würzburg
Space Science and Technology
- Thesis: Design and development of UWE-4 CubeSat: Integration of electric propulsion, structural analysis, and orbital heating analysis.
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2003 - 2007 Chennai, India
B.E.
Anna University
Mechanical Engineering
- First Class with Distinction.
Experience
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2024 - present Luxembourg
Research Scientist
SnT, University of Luxembourg
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2021 - 2024 Luxembourg
Research Associate
SnT, University of Luxembourg
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2019 - 2021 United Kingdom
Research Associate
Surrey Space Centre, University of Surrey
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2011 - 2012 India
Product Engineer
SKF Technologies Limited
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2007 - 2011 India
Design Engineer
TATA Consultancy Services (TCS)
Research Projects
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2022 - 2026 SnT, University of Luxembourg
Program Lead
DIOSSA Project [ESA GSTP], Phase 1 (24M) & Phase 2 (18M)
- Leading a team of researchers developing deep learning solutions for spacecraft pose estimation.
- Managing the full project lifecycle, including work package execution, monitoring, and progress reporting.
- Delivered all Phase 1 milestones and defined the scientific roadmap for Phase 2.
- Outcomes: 3 successful ESA reviews and 5 conference publications.
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2023 - 2026 SnT, University of Luxembourg
Technical Lead
Partnership Project with LMO
- Guiding research strategy on Unsupervised Domain Adaptation (UDA) for spacecraft pose estimation, aligning academic research with industrial partner requirements.
- Co-supervising PhD research on UDA for 6D pose estimation.
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2022 - 2025 SnT, University of Luxembourg
Researcher
MEET-A [FNR Bridges], ENERGETIC [EU Horizon]
- Provided simulation expertise across research use cases, including battery thermal simulation (ENERGETIC) and spacecraft data simulation (MEET-A).
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2019 - 2021 University of Surrey, UK
Researcher
FAIR-SPACE
- Research: Developed deep learning algorithms for 6DoF spacecraft pose estimation in non-cooperative target scenarios.
- Edge AI: Evaluated the algorithms on edge hardware with hardware-in-the-loop experiments.
- Tech transfer: Developed ORVIS, an orbital simulation tool that generates training data for relative navigation.
- Output: 2 journal publications, 1 book chapter, 2 conference publications; supported 1 start-up initiative.
Space Missions
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2022 - 2023 University of Luxembourg
CV and ML Lead
SnT-AI4SPACE Mission (Deployed)
- Developed and deployed an onboard AI anomaly detection system, validated on flight hardware.
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2023 - 2023 University of Luxembourg
Simulation Lead
AUDACITY Mission (Deployed)
- Designed and deployed an onboard AI algorithm for SSA spacecraft detection, in collaboration with LMO.
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2015 - 2015 University of Würzburg, Germany
Student Researcher (Master's Thesis)
UWE-4 CubeSat Mission (Deployed)
- Developed the mechanical design of the CubeSat for electric propulsion integration, verified via structural and orbital thermal analysis.
Laboratory Experience
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2022 - 2026 University of Luxembourg
Operations Lead (for CVI²)
Zero-G Lab
- Manage end-to-end data-collection campaigns, including requirements gathering, test-plan development, and execution.
- Coordinate collaborations with other research groups to streamline workflows and align objectives.
- Align research strategy with equipment and procurement needs, ensuring timely acquisition of resources.
- Outcomes: 3 major 6D pose datasets, 4 partner data-acquisition campaigns, and 2 journal articles.
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2022 - 2026 University of Luxembourg
Coordinator
Computer Vision Lab
- Overseeing lab setup, project demos, and equipment procurement.
- Setting up and maintaining the CVI² GPU servers for the research group.
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2020 - 2021 University of Surrey, UK
Researcher and Coordinator
Orbital Robotics Testbed @ STAR LAB
- Coordinated testbed development for experimental validation of relative navigation algorithms.
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2020 - 2021 University of Würzburg, Germany
Research Assistant
FloatSat Testbed
- Designed and implemented a testbed on spherical air bearings for experimental validation of CubeSat ADCS.
Grant Proposals & Funding
- Co-Author: FNR Bridges U-ADAPT (2025) — Funded
- Co-Author: ESA Proposal DIOSSA Phase 2 (2024) — Funded
- Lead Author: FNR Junior CORE Sentient-3D (2022) — Not funded
- Contributor: FNR CORE DA-GAP (2023); EDF REAL-AI (2022)
Research Supervision
- PhD co-supervision: Nidhal E. Chenni (2024–present) — Domain Adaptation for 6DoF Pose Estimation. Output: 3 conference papers (A/A*).
- PhD co-supervision: Ala Souissi (2025–present) — Leveraging Event Sensing for 6DoF Pose Estimation and Tracking.
- Master’s thesis: Haytam Qadadri (2023) — Spacecraft Pose Estimation using Neuromorphic Sensors. Output: 1 conference paper (A*).
Teaching
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2022 - 2026 University of Luxembourg
Course Project & Lab Coordinator
Computer Vision and Image Analysis (CVIA)
- Coordinating course projects for the MICS and MSTB Master’s programmes and MSTB lab sessions.
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2018 - 2019 UNSW Sydney, Australia
Teaching Assistant
ELEC3106: Engineering Course
- Facilitated laboratory sessions and exam evaluations for undergraduate engineering students.
Scientific Service
- Co-Organizer: AI4SPACE Workshop @ CVPR (2026, 2024), ECCV (2022)
- Lead Organizer: SPARK Challenge @ CVPR (2026, 2024), ECCV (2022)
- Session Chair: EUVIP 2026
- External Advisor: Neuromorphic Hackathon (2024) @ fortiss, Munich
- Program Committee: IGNSS Conference (2016, 2017)
Peer Review
Conferences: NeurIPS ('26, '25), CVPR ('26, '24), ECCV ('26, '24, '22), ICRA ('26, '25), WACV ('25), IROS ('23), AI4SPACE Workshop ('26, '24, '22), NEVI Workshop ('24)
Journals: Int. Journal of Robotics Research (IJRR), IEEE Robotics and Automation Letters (RA-L), IEEE Signal Processing Letters (SPL), IEEE Trans. on Aerospace and Electronic Systems, Advances in Space Research (ASR)
Invited Talks
- Oct 2023 — ESA CleanSpace Industry Days, ESTEC, Netherlands: DL-based spacecraft pose estimation: Opportunities and challenges for future in-orbit servicing missions.
- Sep 2020 — FAIR-SPACE Workshop, Liverpool, UK: On-orbit relative pose estimation of a non-cooperative target using convolutional neural networks.
- Oct 2018 — 17th Space Generation Congress, Bremen, Germany: Reusable CubeSat constellation for asteroid rover navigation and communication.
- Sep 2017 — 3rd Off Earth Mining Forum, UNSW Sydney, Australia: Autonomous spacecraft navigation near an asteroid.
Technical Skills
Deep Learning: PyTorch, PyTorch Lightning, TensorFlow, Hydra, OpenCV, NumPy
Robotics & Simulation: ROS, PANGU (ESA), Unreal Engine 4, Blender
Programming: Python, C++, MATLAB, Julia
Embedded AI: NVIDIA Jetson (Nano / Xavier NX), Arduino, edge inference optimization
Mechanical Engineering: CAD: Creo, CATIA V5, SolidWorks, Inventor; FEM/FEA: NASTRAN, COMSOL
DevOps & Tools: Git, Docker, Windchill PDM, Nginx, Gunicorn
Honors & Awards
- Winner, Move an Asteroid Technical Paper Competition (2018) — Space Generation Advisory Council (SGAC), Bremen
- IAC Travel Grant / Sponsorship (2017) — National Space Society of Australia, to attend the International Astronautical Congress
- UNSW Departmental PhD Scholarship (2015) — Full tuition plus living stipend for the duration of candidature
- Erasmus Mobility Grant (2013) — Competitive grant for a Master’s exchange year
- Top Achiever Award, SKF (2012) — Ranked 1st in performance assessment at SKF India
Languages
English : Fluent
Tamil : Native speaker
German : Basic