Scholar
Makram Chahine
Google Scholar ID: UzM0rckAAAAJ
PhD Student, Massachusetts Institute of Technology
Citations & Impact
Citations
526
H-index
9
i10-index
7
Publications
16
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers: 'The Curious Case of In-Training Compression of State Space Models' (Under Review for ICLR 2026);
- 'Liquid Structural State-Space Models' (ICLR 2022);
- 'Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring' (ISER 2025);
- 'Follow Anything: Open-Set Detection, Tracking, and Following' (RA-L 2024);
- 'Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning' (RA-L 2023);
- 'Local Non-Cooperative Games for Scalable Motion Planning' (IROS 2023);
- 'Robust Flight Navigation Out-of-Distribution with Liquid Neural Networks' (Science Robotics 2023);
- 'Gaussian Splatting to Real-World Flight Navigation Transfer with Liquid Networks' (CoRL 2024);
- 'Towards Cooperative Flight Control Using Visual Attention' (IROS 2023).
Research Experience
- Position: Graduate Student; Affiliation: CSAIL, MIT; Advisor: Prof. Daniela Rus;
- Position: Research Associate; Affiliation: Harvard University; Project: Project CETI, developing aerial solutions for autonomous sperm whale sensor deployment and monitoring; Lab: Prof. Robert J. Wood's lab.
Education
- Degree: PhD; Institution: Massachusetts Institute of Technology (MIT); Advisor: Prof. Daniela Rus; Time: Currently a final year graduate student;
- Degree: Diplôme d'Ingénieur (Applied Mathematics); Institution: École Centrale Paris (now CentraleSupélec); Completion: 2019;
- Degree: Master of Science (Aerospace Engineering); Institution: Georgia Institute of Technology; Completion: 2019.
Background
- Research Interests: efficient machine learning pipelines, dynamical systems; Professional Field: Computer Science; Summary: Focused on developing autonomous agents that generalize robustly in complex real-world environments.
Miscellany
- Personal interests and hobbies not provided in detail.
Co-authors