Iman Nematollahi

Iman Nematollahi

Researcher in Robot Learning & AI for Oncology

University of Freiburg

Biography

I’m a researcher at the University of Freiburg working with Prof. Dr. Abhinav Valada and Jun.-Prof. Dr. Maria Kalweit, and I am completing my PhD under Prof. Dr. Wolfram Burgard. My research focuses on developing deep learning methods to uncover predictive models of complex systems from unlabeled data. By learning structured representations that capture the underlying dynamics of real-world processes, these so-called world models enable systems to anticipate plausible future states and reason about how changes in one part of a system influence the rest. Previously, I also spent time at the University of Oxford interning with Prof. Dr. Ingmar Posner.

Progress

Interests
  • Deep Learning
  • World Models
  • Reinforcement Learning
Education
  • Researcher in AI for Oncology, 2025

    University of Freiburg

  • Researcher in Robot Learning, 2025

    University of Freiburg

  • PhD in Robot Learning, (pending PhD defense, expected 2025)

    University of Freiburg

  • MSc in Embedded Systems, 2018

    University of Freiburg

Experience

 
 
 
 
 
Researcher
Oct 2025 – Present Germany
Advisor: Jun.-Prof. Maria Kalweit
 
 
 
 
 
Researcher
Apr 2025 – Present Germany
Advisor: Prof. Abhinav Valada
 
 
 
 
 
Robotics Research Intern
Jan 2024 – Jun 2024 United Kingdom
Advisor: Prof. Ingmar Posner
 
 
 
 
 
Ph.D Candidate in Computer Science
Jan 2019 – Dec 2024 Germany
Advisor: Prof. Wolfram Burgard
 
 
 
 
 
Student Research Assistant
Aug 2017 – Oct 2017 Germany
Implementation of Dynamic Obstacle Avoidance for KUKA OmniRob
 
 
 
 
 
Student Research Assistant
Nov 2016 – Oct 2018 Germany
  • Low power hardware implementation of an Early Seizure Detection Convolutional Neural Network algorithm on FPGA
  • Continuous and simultaneous readout of ADC channels using SPI and USB protocols via FPGA
 
 
 
 
 
Electrical Engineer
Mahya Intelligent Transportation Systems
Sep 2012 – Sep 2014 Iran
As a member of Electrical team, I was trained to design, implement and maintain software and hardware requirements of Tehran traffic control devices.
 
 
 
 
 
Student Research Assistant
Shahid Beheshti University - Microprocessors Lab
Mar 2014 – Jun 2014 Iran
Design and Implementation of a novel Class Attendance System using AVR Microcontrollers and RFID Modules (used in the 22nd Iranian Conference on Electrical Engineering).

Publications

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DiWA: Diffusion Policy Adaptation with World Models
CoRL 2025 - Seoul, Korea
DiWA: Diffusion Policy Adaptation with World Models
LUMOS: Language-Conditioned Imitation Learning with World Models
ICRA 2025 - Atlanta, USA
LUMOS: Language-Conditioned Imitation Learning with World Models
T3VIP: Transformation-based 3D Video Prediction
IROS 2022 - Kyoto, Japan
T3VIP: Transformation-based 3D Video Prediction
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
ICRA 2022 - Philadelphia, USA
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection
EMBC 2018 - Honolulu, Hawaii

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