I am currently working at the XRT Laboratory under guidance of Ryan McMahan. While my current work deals with point clouds and related state-of-the-art fields, I consider my primary field to be in Computer Graphics, Computer Vision, AI, and XR development. Currently I am working on finalizing my dissertation work, this work is being developed in a multitude of platforms, which includes robotics, computer vision, and practical applications of point clouds. I used to develop a tool point cloud editing suite, FinalCloud, developed in Unity and Python, however this is postponed until further notice. I have experience in a multitude of fields such as computer vision, computer architecture, and gaming applications such as virtual reality and augmented reality.
Lori C. Walters, Robert A. Michlowitz, Esteban Segarra Martinez, Ryan P. McMahan and Joesph T. Kider, "MemoryScan Environments: Creating Large-Scale Memory-Evocative Digital Twins," 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI), Orlando, FL, USA, 2023.https://doi.org/10.1109/DTPI59677.2023.10365482
Esteban Segarra Martinez, Stephen V Maldonado, Annie Wu, Ryan P. McMahan, Xinliang Liu, and Blake Oakley. July 2022. Effects of Imputation Strategy on Genetic Algorithms and Neural Networks on a Binary Classification Problem. ACM GECCO 2022.https://doi.org/10.1145/3512290.3528863
Esteban Segarra Martinez, Annie Wu, Ryan P. McMahan. March 2022. Research Trends in Virtual Reality Locomotion Techniques. IEEE VR 2022. https://doi.org/10.1109/VR51125.2022.00046
Esteban Segarra Martinez, Ayesha A. Malik, and Ryan P. McMahan. “CLOVR: Collecting and Logging OpenVR Data from SteamVR Applications.” In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 485–92, 2024.https://doi.org/10.1109/VRW62533.2024.00095 .
Ghasemaghaei, Amirpouya, Yahya Hmaiti, Mykola Maslych, Esteban Segarra Martinez, and Joseph J. LaViola. “Throwing in Virtual Reality: Performance and Preferences Across Input Device Configurations.” In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 897–98, 2024. https://doi.org/10.1109/VRW62533.2024.00245.
Ghasemaghaei, Amirpouya, Mykola Maslych, Yahya Hmaiti, Esteban Segarra Martinez, and Joseph J LaViola Jr. “Towards Better Throwing: A Comparison of Performance and Preferences Across Point of Release Mechanics in Virtual Reality,” 2024.
Esteban Segarra Martinez and Ryan P. McMahan. RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion. 2023. Planned for publication. Referenced by collaborators. https://doi.org/10.48550/arXiv.2310.12470.
Esteban Segarra Martinez and Bradford Towle Jr. March 2018. Application of an Augmented Reality Device as a Rangefinder and Odometry Source. Inter. Society of Computers and Their Applications
Esteban Segarra Martinez and Bradford Towle Jr. October 2018. Simulating an Unknown Environment with an Integrated Physical and Virtual Space. 27th Proceedings of the Inter. Conference on Software Engineering and Data Engineering.
Esteban Segarra Martinez and Bradford Towle Jr. October 2017. Investigating the Feasibility of using a Microsoft HoloLens as a Robotic Sensor and Odometry Source. 26th Proc. of the Inter. Conf. on Software Engineering and Data Engineering.
PhD - University of Central Florida (2024? - In progress)
MS - University of Central Florida (2022)
BS - Florida Polytechnic University (2019)
While my background largely is composed of HCI topics such as Virtual Reality, Mixed Reality, and Augmented Reality, I have a diversified set of skills in tackling multiple problems such as complex systems in robotics, computer vision, and machine learning integration.
Aside from general work involving my research and studies I also do side hobbies such as gaming, 3D modeling, AI art, and other art forms. Generally I tend to keep my art separate from my work, however there are multiple times where my work crosses over to the other from time to time. I also attempt whenever there are spare resources and time to try to learn new concepts in application of software and hardware.