Hi everyone! đź‘‹
I am a post-master’s researcher at DGIST-IROM, in the Department of Robotics and Mechatronics Engineering. My research focuses on virtual reality–based microsurgical systems, where I develop deep learning–driven approaches to improve interaction accuracy, sensor reliability, and overall human–machine performance. My CV is available here. I also write about my life and experiences on Medium.
Education
Interests
Skills
News ✨
2025-12
I was honored to receive a Certificate of Appreciation from DGIST for my contributions to Promotion and media team activities 🎉
2025-10
I started my position as a Researcher at DGIST🎉
2025-08
Attended and presented my work at the Conference on Electronics, Semiconductor, and AI 2025 in Gangneung South Korea
2025-08
I completed my M.Sc. in Artificial Intelligence at DGIST 🎓
2024-12
I attended the AI Summit 2024 Seoul as a delegate representing DGIST
2024-06
Attended and presented my work at the IEIE 2024 Summer Conference in Jeju South Korea
2024-04
My work was presented at the KMSE society 2024 conference
Honors and Awards 🏆
Publications
A Novel Framework for Enhanced Flat Object Manipulation through Reinforcement Learning and Mixed Reality Integration
John Prada, Obasi Yetunde Oluwatoyosi and Cheol Song
DBpia 2023-11-24
Understanding Why People Struggle to Integrate RobotsInto Daily Life
Obasi Yetunde Oluwatoyosi
Unpublished Work 2025-11-24
Projects
Learning-Based VR Tracking with Sensor Fusion
Developing learning-based models to improve VR controller positional accuracy by fusing VR tracking data with external IMU signals. The project leverages time-series modeling using LSTM and Transformer architectures, evaluated on real-world Unity data, synthetic Isaac Sim data, and human-subject experiments.
Custom VR–IMU Housing for High-Precision Motion Experiments
Designed and fabricated a custom mechanical housing to rigidly mount a VR controller and an external IMU sensor onto a motorized linear stage. The design ensures repeatable sensor alignment, mechanical stability, and minimal rotational offset for precision motion tracking experiments.
Synthetic Trajectory Generation for VR Sensor Fusion
Developed a synthetic data generation pipeline using Isaac Sim to produce controlled motion trajectories with synchronized position and acceleration signals. The dataset was used for pre-training and robustness evaluation of learning-based VR tracking models.
Time-Series Learning for Real and Synthetic VR Motion Data
Trained and evaluated LSTM and Transformer models on time-series motion data collected from Unity-based real-world experiments and synthetic trajectories generated in Isaac Sim. The project focused on improving robustness and generalization across simulation and real-world environments.
Korean–English Neural Machine Translation using Transformers
Implemented a Transformer-based neural machine translation model for Korean-to-English translation as part of a graduate-level deep learning course. The project explored attention mechanisms, tokenization strategies, and sequence-to-sequence learning.
Experience
Teaching & Academic Support
DGIST International student association (DISA) PR & Media Team
DGIST
Mentored intern students for research projects in AI
DGIST
DGIST International student association (DISA) PR & Media Team
DGIST
Teaching Assistant(TA) for physics course
DGIST
National Youth Service Corps (NYSC); Physics Tutor
BenGee Model College, Agege, Lagos State, Nigeria
Mentorship & Outreach
Operation Feed; Volunteer
Inspired Smiles Foundation, Lagos, Nigeria
Photos 📸
2025 | Christmas 2025 DGIST🎄