CV
Research Interests
I study how robotic systems can behave in ways that feel intuitive and natural to humans, with a focus on understanding the behavioral and contextual cues that shape human perception of robot motion, and using these insights to design more seamless and ergonomic interactions.
- Human–Robot Interaction (HRI)
- Wearable Robotics
- Supernumerary Robotic Limbs
- Embodied AI
- Generative Models for Robotics
- Multimodal Perception
- Human Motion Modeling
- Scene Understanding
Education
- Ph.D. Candidate in Computer Science, HCI Lab, Saarland University, Saarbrücken, Germany (Jan 2021 – Present)
- M.Sc. in Computer Science, Saarland University, Saarbrücken, Germany (Apr 2017 – Dec 2020)
- GPA: 1.8 (German grading system)
- B.Sc. in Computer Hardware Engineering, University of Tehran, Tehran, Iran (2008 – 2013)
- Last 5 semesters GPA: 16.09/20.0
Work experience
- Jan 2021 – Present: Ph.D. Researcher in Wearable Robotics
- Saarland University, Saarbrücken, Germany
- Duties included:
- Research on supernumerary robotic limbs (SRLs)
- Developed generative and optimization-based motion models
- Led design and implementation of the 3HANDS dataset
- Managed collaborative research projects in embodied interaction and wearable robotics
- Jul 2019 – Dec 2020: Research Assistant
- Max Planck Institute for Informatics (MPII), Graphics Dept.
- Duties included:
- Developed digital fabrication pipeline for Moiré on curved surfaces
- First-authored publication and contributed to U.S. patent
- Worked on inverse geometry optimization and differentiable rendering
- Mar 2018 – Jun 2019: Research Assistant
- Max Planck Institute for Informatics (MPII), Algorithms and Complexity Dept.
- Duties included:
- Implemented Mixer NCO in VHDL
- Signal analysis and verification in C
- Noise reduction optimization for embedded communication systems
- Dec 2017 – Feb 2018: Research Assistant
- Korean Institute for Science and Technology (KIST Europe)
- Duties included:
- Developed MixExpo web tool
- Interactive visualization and backend integration
Teaching
- Summer 2022: Teaching Assistant, Interactive Systems Course
- Saarland University
- Duties included:
- Led discussion and lab sessions
- Designed assignments and exams
- Supervised student projects
- Managed course webpage and documentation
- Summer 2023: Seminar Organizer, Wearable Robotics
- Saarland University
- Duties included:
- Organized graduate-level seminar
- Curated readings and led discussions
- Supervised group research projects
- Summer 2023: Seminar Co-Organizer, Engineering of Interactive Systems with Generative AI
- Saarland University
- Duties included:
- Co-designed seminar content
- Mentored student teams
- Created and graded assignments
Skills
- Embodied AI & Generative Modeling
- CVAE, diffusion models, transformers
- Human–robot handover synthesis
- Intent prediction
- Representation learning
- Robotics & Control
- Kinematic and dynamic modeling
- Trajectory optimization
- Real-time control
- Human-robot collaboration
- Simulation & Graphics
- MuJoCo
- Unity
- Blender
- Differentiable rendering
- Programming
- Python
- C/C++
- C#
- MATLAB
- R
- Verilog
- VHDL
- ML Frameworks & Tooling
- PyTorch
- TensorFlow
- CUDA
- Git
Publications
- Context-Aware Adaptive Handovers using foundation models (Under review)
- GestureCoach: Rehearsing for Engaging Talks with LLM Driven Gesture Recommendations (UIST 2025)
- 3HANDS Dataset: Learning from Humans for Generating Naturalistic Handovers with Supernumerary Robotic Limbs (CHI 2025)
- WRLKit: Computational Design of Personalized Wearable Robotic Limbs (UIST 2023)
- I Need a Third Arm! Eliciting Body-based Interactions with a Wearable Robotic Arm (CHI 2023)
- Fabrication of Moiré on Curved Surfaces (Optics Express, 2020)
Service and leadership
- Peer Reviewer, IEEE Transactions on Automation Science and Engineering (2025)
- Peer Reviewer, MobileHCI (2025)
- Peer Reviewer, Learning for Dynamics and Control (2025)
- Peer Reviewer, Augmented Humans Conference (2025)
Supervision
- Supervised Master’s theses in human–robot interaction, wearable robotics, and augmented reality, including:
- Moaz Bin Younus — Neuroplastic Adaptation Through BCI Training with a Supernumerary Robotic Arm (Saarland University, 2025)
- Alireza Parchami — In-car Augmented Reality (Saarland University, 2025)
- Supervised Bachelor’s theses in embodied AI and reinforcement learning, including:
- Bilal Alshikh — Developmental Insights into Three-Handed Functionality using Reinforcement Learning (Saarland University, 2025)
- Mentored visiting research interns and supported their research integration, including:
- Claire Chen — Visiting Intern from Massachusetts Institute of Technology (Saarland University, 2024)
- Guided student research projects in human–robot interaction (HRI), wearable robotics, and embodied interaction, supporting:
- project scoping and research question formulation
- experimental design and user study planning
- hardware integration and robotic prototyping
- machine learning pipeline development
- data analysis, evaluation, and scientific writing
- Supervised graduate seminar and course projects on wearable robotics and generative AI for interactive systems, mentoring student teams through ideation, implementation, and final presentation
