My name is Soroosh Mortezapoor.

I am a computer scientist and engineer in the final stage of my Ph.D. studies, currently a senior doctoral candidate approaching graduation. Over recent years, I have accumulated extensive experience across technical development, research, leadership, management, and university teaching. Through my work in academia and industry, I have developed a strong ability to bridge rigorous research with practical system design, while also leading teams and supervising students. As I near the completion of my Ph.D., I am actively seeking my next professional challenge, where I can apply this combined background in research, engineering, and leadership to a meaningful and impactful endeavor.

My interest in technology began at an early age. During high school, I worked as a part-time network administrator for several small and medium-sized enterprises, gaining practical experience in system administration and infrastructure management. This early exposure to real-world technical problems laid the foundation for my later academic and professional path.

I pursued my undergraduate studies in computer engineering at Iran University of Science and Technology in Tehran, where I developed a strong interest in robotics and artificial intelligence. Alongside my studies, I participated in international robotics competitions, including RoboCup 2008 in China and RoboCup 2009 in Austria. These experiences strengthened my motivation to work on complex autonomous systems and reinforced my commitment to research-driven innovation.

In 2009, my participation in RoboCup in Graz led to my first extended stay in Austria, followed by visits to Switzerland. Beyond the competition itself, I was strongly influenced by the academic culture and research environment of European universities. The emphasis on open scientific exchange and interdisciplinary collaboration played a decisive role in shaping my long-term academic goals.

I subsequently continued my education in Europe, first at the University of Bern and later at TU Wien. During this period, I focused on theoretical computer science, algorithms, and artificial intelligence, including machine learning. Working within internationally oriented research environments allowed me to deepen my analytical skills and engage closely with academic research.

In parallel with my academic path, I joined Nativy Translations in 2013 as a student developer. Over the following years, I advanced to the role of Chief Technology Officer, where I led the development of large-scale software systems for computer-assisted, high-quality human translation. This role provided substantial experience in technical leadership, product development, and organizational management, as well as in communication with diverse stakeholders, including developers, business partners, and clients.

In 2019, I began my Ph.D. at TU Wien, focusing on large-scale haptic interactions in virtual reality. My research is conducted within the SFB “Advanced Computational Design,” a large collaborative project involving researchers from multiple Austrian universities. Within this framework, I work at the intersection of robotics, virtual reality, and human–computer interaction, contributing to novel methods for interactive systems and early-stage design workflows.

Alongside my research, I have been actively involved in teaching and student supervision. I have contributed to courses in moltimodal systems, human–machine interfaces, and virtual reality, and have supervised numerous student projects in various topics ranging from autonomous robots for multi-story building exploration to robot positioning around an immersed user in a shared workspace using Reinforcement Learning, to to machine learning for robotic grasping and 3D reconstruction to VR & AR applications. . Teaching has become an integral part of my academic identity, reinforcing my ability to communicate complex concepts clearly and to mentor emerging researchers and engineers.

As I approach the completion of my doctoral studies, I am motivated to pursue a next step that builds on this interdisciplinary background and allows me to contribute at a larger technical, scientific, or organizational scale.