Currently, I am a doctoral student in the Optical Media Interface Laboratory, NAIST, and a research assistant in a related field. Also has experience in using some computer vision libraries and deep learning frameworks. The current research is to classify material from the voxel image using a convolutional neural network. The major research theme is developing a system that can classify a material from its optical properties by using a Single Photon Avalanche Diode (SPAD) camera, which is a specialized sensor that measures the depth or distance to an object by emitting a laser beam and measuring the time it returns (in picosecond time range).

Career Overview

Yohanssen Pratama is a faculty member and researcher at the Institut Teknologi Del in Indonesia. He has over six years of experience in computer programming and infrastructure development. He specializes in the development of analytical tools and smart city projects, particularly in transportation systems.

Professional Journey

Current Position: Researcher at the Optical Media Lab, NAIST (Japan), focusing on temporal light propagation and transient imaging. Teaching and Research: Faculty member at the Institut Teknologi Del since 2015, where he teaches data structures, algorithms, formal languages, and image processing. He also conducts research on intelligent transportation systems and real-time detection. Past Experience: Software Engineer and Researcher at Blackberry Innovation Centre (ITB), working on traffic monitoring systems and developing intelligent transport solutions for Indonesia. Researcher in Optical Labs, exploring technologies like Surface Plasmon Resonance.

Key Projects

Yohanssen has led several high-profile projects, including:

Development of traffic monitoring systems for Indonesia’s Ministry of Transportation. Smart tourism and digitalization projects for the Toba region and beyond, in collaboration with various Indonesian governmental bodies. Image processing applications to improve agricultural production, such as cassava quality classification using computer vision. Academic Achievements Yohanssen holds a Ph.D. in Information Systems (ongoing) from Nara Institute of Science and Technology, Japan, and a Master’s degree in Informatics from Bandung Institute of Technology, where he received a prestigious Blackberry RIM Scholarship.

His publications cover topics like neural networks, traffic systems, sentiment analysis, and public transportation modeling. These contributions reflect his deep interest in leveraging technology to improve urban living and transportation efficiency.