Ms. MIRACLE UDURUME, Ulsan University, South Korea
Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.
Professional Profile:
SCOPUS
Summary of Suitability for Best Researcher Award
Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.
🎓 Education
- MSc in Microbiology
Kumoh National Institute of Technology, South Korea
📅 February 2023
- Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
- Advisor: Professor Wansu Lim
- BSc in Mathematics
Delta State University, Abraka, Nigeria
📅 October 2019
- Second Class Upper Division
- Thesis: Counting Techniques in Discrete Mathematics
- Advisor: Dr. J.S. Apanapudor
🔬 Research Interests
- Data Generation
- Emotion Recognition
- Machine Learning
🔬 Research Experience
Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022
- Worked on lab projects under the supervision of Professor Wansu Lim
- Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊
- Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️
- Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸
- Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄
- Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗
- Applied data fusion techniques for face and speech emotion recognition 🤖
- Generated artificial data for ultra-capacitor projects 🔋
🏅 Honors and Awards
- Christ High School Scholarships
📅 September 2012
- Part-time scholarship for secondary school education 🎓
- Korean Government Scholarship Award
📅 2021 – 2023
- Full funding for Master’s program in South Korea 🇰🇷
Publication top Notes:
Synthetic Data Generation Using GAN for RUL Prediction of Supercapacitors
Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG