I am a graduate student at ETH Zürich and the University of Zürich, specializing in computer vision and robotic perception. I work on dynamic visual SLAM at the Computer Vision and Geometry Lab (CVG) under the supervision of Dr. Dániel Béla Baráth and Prof. Marc Pollefeys.
Previously, at EPFL (LTS4) I researched self-supervised representation learning for gigapixel medical images, supervised by Dr. Cédric Vincent-Cuaz and Prof. Pascal Frossard, and received my BSc in Artificial Intelligence cum laude from VU Amsterdam. My work in robotics started well before that, captaining a student robotics team to back-to-back national gold medals at the World Robot Olympiad in 2018 and 2019.
mtajdini [at] ethz [dot] ch
I am actively looking for a Ph.D. position in 3D vision or robotic perception, starting from Fall 2028.
News
- 🗺️ Co-developed microSLAM with Roham Z. Nobari, state-of-the-art monocular SLAM from human egocentric video.
- 🎉📄 Paper "Capitalising on Football Data with Machine Learning" accepted at ACM Computing Surveys (CSUR).
- Joined the Computer Vision and Geometry Lab (CVG) at ETH Zürich, working on dynamic visual SLAM.
- Started as a Visiting Student Researcher at EPFL's Signal Processing Laboratory (LTS4).
- 🎉📄 Paper "The Clash of Codes" accepted at ICSE 2026 (SEET Track).
- Graduated cum laude in BSc Artificial Intelligence from VU Amsterdam (top 8% of cohort).
Publications
Selected Projects
Research Experience
- Graduate Student Researcher ETH Zürich, Computer Vision and Geometry Lab (CVG) Deep visual SLAM robust to dynamic scenes; motion-aware tracking and instance-level mapping. Supervised by Dr. Dániel Béla Baráth and Prof. Marc Pollefeys.
- Visiting Student Researcher EPFL, Signal Processing Laboratory (LTS4) Developed self-supervised representation learning for large-scale medical imaging. Supervised by Dr. Cédric Vincent-Cuaz and Prof. Pascal Frossard.
- Research Assistant ETH Zürich, Ecosystem and Landscape Evolution Group (ELE) Supported WildInSync, a global biodiversity-monitoring initiative combining environmental DNA, remote sensing, and AI. Supervised by Dr. Camille Pierre Albouy and Prof. Loïc Pellissier.
- Research Assistant VU Amsterdam, Sports Intelligence Lab (SIL) Applied data-driven approaches to investigate key topics in computer science and sports analytics. Supervised by Prof. Mauricio Verano Merino.
- AI Research Intern Forward Football ML on large-scale spatiotemporal tracking data to drive tactical insight in professional football.
Industry Experience
- Member of Technical Staff MicroAGI Researching monocular visual-inertial SLAM and 3D vision for reliable real-world robot deployment.
- Member of Technical Staff April Robotics Built multi-device visual-inertial SLAM across a 3-rig egocentric system for 6-DoF pose recovery.
- Perception Engineer ETH Robotics Club (ETHRC) Developed the perception stack (VIO, gate detection, sensor fusion) for autonomous FPV racing drones.
- Student AI Consultant Forward·Inc Advised a mission-driven non-profit on AI-adoption strategy and tooling.
Teaching
- Teaching Assistant ETH Zürich, Ecosystem and Landscape Evolution Group (ELE) Environmental Systems Data Science: Machine Learning (701-3003-00L) under the supervision of Dr. Camille Pierre Albouy and Prof. Loïc Pellissier.
- Head Teaching Assistant University of Zurich, Software Evolution and Architecture Lab (S.E.A.L.) Led the TA team, exercise design, and assessment for Informatics I (22AINF02), under the supervision of Dr. Carol Alexandru and Prof. Harald Gall.
- Teaching Assistant Mentor VU Amsterdam, Faculty of Science Mentored and trained new teaching assistants through workshops, training materials, and personalized feedback.
- Head Teaching Assistant VU Amsterdam, Faculty of Science Led the TA team, exercise design, and assessment for Computational Thinking (X_400475), under the supervision of Dr. Aniel Bhulai.
- Teaching Assistant
VU Amsterdam, Faculty of Science
TA across 10+ Computer Science and AI courses.
- Introduction to Python ProgrammingXB_00822023, 2024
- Computational ThinkingX_4004752023, 2024
- The Impact of Algorithms on Human Lives (Honors)X_HP0152024
- Project Intelligent SystemsX_4010762024
- Dynamic ModellingXB_00362024
- Human-Computer InteractionXB_00132024, 2025
- Applied ProgrammingXB_01022024, 2025
- Machine LearningX_4001542024
- Project Conversational AgentsXB_01012025
Selected Achievements
- 3rd place, Datathon by Analytics Club at ETH, Switzerland's largest ML hackathon
- 4th place, Anthropic Hackathon by the Claude Builder Club of ETH Zürich
- BSc in Artificial Intelligence, VU Amsterdam, graduated cum laude (Top 8% of cohort)
- IB Diploma Programme (IBDP), Top 3% worldwide
- Canadian Computing Competition (CEMC), Certificate of Distinction as a Top 25% contestant worldwide and 1st in Iran
- 🥇 Gold medal, World Robot Olympiad, Iran (national level)
- 🥇 Gold medal, World Robot Olympiad, Iran (national level)
- 16th place, World Robot Olympiad, Costa Rica International Finals
- 🥈 Silver medal, World Robot Olympiad, Iran (national level)