• Leveraging machine perception and generative AI to generate realistic simulations of EV mobility data.
• Exploring human mobility patterns and energy challenges in EV and Vehicle-to-Grid (V2G) dynamics.

• Machine Perception: Adept at leading data science projects that bridge remote sensing and tree modeling, designing street-tree detection experiments, and developing Super-resolution GANs for satellite imagery enhancement. Extensive experience in object detection, geo-localization, and socio-economic analysis.

• Generative AI: Proficient in designing and implementing GANs models, particularly demonstrated in a project addressing dementia-related challenges, specifically wandering behavior. Successfully applied GANs for generating synthetic data, leading to technical disclosures, a patent, and a tech offer. Expertise includes GANs, indoor positioning, and deep learning applications.

• Geospatial Data Mining: Experienced in fusing geospatial data and machine perception, focusing on urban mobility and electric vehicle strategies. Leveraged location-based services and mobility data to derive insights into spatial-temporal flow and behavioral patterns. Keywords: Location-based Services, Urban Mobility, Spatial-temporal Flow, Behavioral Pattern.

• Positioning and Navigation: Extensive contributions to the field, ranging from developing an Indoor Localization System using Deep Learning and IoT. A key contributor to the development of an Indoor Localization System and a prototype for locating wandering individuals with dementia, demonstrating real-world viability.

• Programming: Proficient in Python, and Java.
• Data Analysis: Experienced with tools like Pandas, NumPy, etc.
• Machine Learning: Skilled in TensorFlow and PyTorch frameworks, with expertise in various algorithms.
• Big Data: Familiar with concurrent programming and leveraging multiprocessors to enhance computational efficiency and performance.
• Collaboration: Strong teamwork and communication skills, fostering effective collaboration.

• LinkedIn: https://www.linkedin.com/in/seanglidet-yean/
• GitHub: https://github.com/yslidet
• Research Gate: https://www.researchgate.net/profile/Seanglidet-Yean

• Passionate about applying research excellence to real-world challenges.
• Seeking opportunities in Generative Models, Machine Perception, and Geospatial Data Mining.

• FAQ: How to get a scholarship? [Answered]

🗂 more blog posts...