About Me

Hello, I’m Sepideh Shamsizadeh 👋

AI & Robotics Engineer · Computer Vision · Machine Learning · Intelligent Systems

I’m a computer engineer and AI researcher passionate about developing intelligent systems that connect advanced research with real-world applications.

My expertise spans computer vision, machine learning, deep learning, robotics, and software engineering. I enjoy exploring complex technical challenges, developing innovative solutions, and transforming ideas into working systems.

What motivates me most is the freedom to explore, discover, and build technology that makes a meaningful difference in people’s lives.

Robotics Project

Professional Experience

My professional journey combines academic research, applied AI development, and software engineering across different industries.

As a Research Assistant at the Zurich University of Applied Sciences (ZHAW), I worked on research and industry collaborations involving machine learning, computer vision, multimodal sensor data, and intelligent software systems.

My projects included:

Multimodal Machine Learning: Developing self-supervised learning and sensor fusion approaches for animal behavior recognition using IMU and GNSS data.
Computer Vision: Developing image annotation and segmentation solutions for graphene microscopy.
Time-Series Forecasting: Building and evaluating machine learning and deep learning models for predictive analytics.
AI-Powered Applications: Exploring intelligent automation and LLM-assisted workflows.

Previously, I worked on AI and software development projects involving natural language processing, healthcare applications, and generative AI.

One of my earlier projects involved developing an NLP-based medical coding assistant, taking the system from research and development through real-world deployment.

These experiences strengthened my ability to work across the full development lifecycle, from problem definition and experimentation to implementation, evaluation, and deployment.

Academic Background

My interest in engineering began with mathematics, logical reasoning, and a curiosity about how things work. Over time, that curiosity evolved into a passion for artificial intelligence and robotics.

I hold two master’s degrees:

M.Sc. in Computer Engineering — Artificial Intelligence and Robotics

University of Padova, Italy

I specialized in artificial intelligence, computer vision, intelligent robotics, robot control, and 3D perception.

During my studies, I gained hands-on experience with autonomous robotic systems, ROS, simulation environments, and perception algorithms.

My academic and research projects included:

Camera and LiDAR-based perception and calibration.
3D reconstruction and point cloud processing.
Autonomous mobile robotics and navigation.
Computer vision and machine learning for robotic applications.

My research also contributed to PanNote, a robotic perception and automatic annotation framework published at ICRA 2024.

M.Sc. in Health Information Technology Engineering

University of Tehran, Iran

My first master’s degree introduced me to interdisciplinary research, combining computer science, machine learning, and biomedical applications.

For my thesis, I developed an algorithm to identify cancer-associated microRNAs, exploring computational approaches to understanding complex biological relationships.

This experience helped shape my interest in using AI to solve challenging, real-world problems.

B.Sc. in Information Technology Engineering

Kermanshah University of Technology, Iran

My undergraduate studies provided a strong foundation in algorithms, programming, mathematics, and computer science.

I developed a particular interest in artificial intelligence, algorithm design, and computational problem-solving, which ultimately guided my academic and professional direction.

Robotics & Personal Projects

TISHTAR — Autonomous Mobile Robot

One of my most meaningful personal projects is TISHTAR, a four-wheeled autonomous mobile robot that I am designing and developing from the ground up.

TISHTAR is my practical platform for exploring autonomous navigation, computer vision, sensor fusion, and intelligent decision-making.

The system combines:

ROS 2 for modular robotic software development and communication.
Raspberry Pi and STM32 for distributed onboard computing and low-level control.
Camera, LiDAR, IMU, and encoders for perception and motion sensing.
Localization, SLAM, and path planning for autonomous navigation.
Python and C++ for robotic software development.

Through this project, I aim to explore the complete process of building an autonomous robot, from electronics and embedded programming to perception, planning, and intelligent behavior.

TISHTAR reflects what I enjoy most about engineering: turning an ambitious idea into something tangible, one technical challenge at a time.

Research & Publications

My research interests lie at the intersection of:

Robot Perception & Autonomous Navigation
Computer Vision & 3D Scene Understanding
Deep Learning & Multimodal Sensor Fusion
Self-Supervised Learning
Intelligent and Assistive Robotics

I have contributed to research involving robotics, computer vision, medical image analysis, and applied machine learning.

I am particularly interested in creating robots that can perceive their surroundings, understand complex environments, and assist people in meaningful ways.

Beyond Engineering

My curiosity extends beyond AI and robotics. I’m interested in understanding how people think, how decisions are made, and how scientific discoveries shape our understanding of the world.

I enjoy learning new things, reading, painting, and exploring ideas across science, technology, and philosophy.

I believe creativity and curiosity are essential to engineering. Some of the most interesting solutions emerge when we look beyond familiar approaches and ask new questions.

Looking Ahead

My long-term ambition is to contribute to the development of intelligent, autonomous systems that move beyond research environments and become useful in everyday life.

I am especially excited by the future of robot perception, embodied AI, and assistive robotics, where advances in machine learning and robotics can come together to create systems that understand and interact with the physical world.

For me, engineering is not simply about applying existing technologies. It is about discovering what is possible and building what does not yet exist.

Through this website, I share my research, technical projects, experiments, and lessons learned along the way.

Welcome to my journey of exploring, learning, and building intelligent systems.