CV
Education, research experience, industry experience, and skills.
Contact Information
| Name | Can Mizrakli |
| Status | MSc Computer Science Student |
| can.mizrakli@student.kit.edu |
Summary
MSc Computer Science student at KIT focused on imitation learning, state space models, robot manipulation, vision-language-action models, cross-embodiment transfer, and reinforcement learning.
Education
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2025 - 2027 Karlsruhe, Germany
MSc
Karlsruhe Institute of Technology (KIT)
Computer Science
- Specializations: Human-Centered Machine Intelligence; Robotics and Automation
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2021 - 2025 Ankara, Turkey
BSc
TED University
Computer Engineering
- Minor in Management
- Secondary focus in Machine Learning
Research Experience
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Jun 2026 – Present Karlsruhe, Germany
Research Assistant
Computer Vision for Human Computer Interaction (CV:HCI) Lab, Karlsruhe Institute of Technology
- Supporting vision-language-action foundation model adaptation for ARMAR-6/7 humanoids and bimanual Franka Emika platforms through Isaac Sim, hardware interfacing, teleoperation, and model–robot integration.
- Contributing to research on reducing the manual human supervision required to adapt vision-language-action models to new robot embodiments.
- Employed at the CV:HCI Lab (Prof. Rainer Stiefelhagen); supervised by Dr.-Ing. David Schneider, working within the H²T group.
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Oct 2025 – Present Karlsruhe, Germany
Imitation Learning with State Space Models
Intuitive Robots Lab, Karlsruhe Institute of Technology
Research Intern · PyTorch, Mamba
- Investigating whether state space model recurrence, used as the primary temporal backbone rather than a shallow add-on, improves long-horizon, memory-dependent manipulation.
- Co-developed a state space model–based policy with recurrent memory that jointly processes vision, language, and proprioception, paired with a flow-matching action head for chunked prediction.
- Ran controlled ablations of the memory design and evaluated in simulation and on real-robot memory tasks on a Franka Emika Panda; results and a preprint will be released soon.
- Conducted under Pankhuri Vanjani with TT-Prof. Dr. Rudolf Lioutikov.
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2024 – 2025 Ankara, Turkey
Undergraduate Researcher
TED University
TDSal: Task-Based Top-Down Saliency Prediction · Computer Vision, Visual Attention
- Developed a task-driven saliency model integrating YOLO visual features with Sentence-BERT task embeddings through transformer-based multimodal fusion.
- Evaluated on CC, KLDiv, SIM, NSS, and AUC-Borji, achieving an NSS of 3.53 and AUC-Borji of 0.9489.
- Accepted for publication in the CGI 2026 LNCS proceedings; supervised by Prof. Tolga Kurtuluş Çapın.
Industry Experience
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Jun 2025 – Sep 2025 Istanbul, Turkey
Artificial Intelligence Engineer
Start You UP
- Built AI instructor models using prompting and fine-tuning workflows for persona-driven interactive learning.
- Contributed to data pipelines for transcription, structured JSON generation, and adaptive question answering using Whisper and Azure OpenAI.
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Jun 2024 – Aug 2024 Istanbul, Turkey
Software Engineer Intern
Intertech
- Developed a financial literacy chatbot using Azure OpenAI, React.js, and Python.
- Built backend integrations and response-quality evaluation workflows.
Publications
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2026 TDSal: A Task-Based Top-Down Saliency Prediction Model
CGI 2026, LNCS Proceedings
A multimodal saliency model conditioned on natural-language task descriptions.
Skills
Programming Languages (Advanced): Python, Java, C, SQL, Julia
Frameworks and Libraries (Advanced): PyTorch, TensorFlow, Hugging Face, OpenCV, YOLO
Tools (Advanced): Git, Linux, Streamlit, LaTeX
Simulation and Hardware (Advanced): Isaac Sim, Franka Emika Panda, ARMAR-6/7
Languages
Turkish : Native
English : C1 (IELTS 8.0)
German : A1.2
Spanish : A1