Data Engineering at Iwaihara Lab
Name: Alvin Lu Liang Hao
Grade & Course: First-year, Doctoral Program
About our lab
At Iwaihara lab, we strive to explore and improve on the extraction, utilization, and engineering of data. By combining a comprehensive focus on deep learning, we aim to automate and achieve various tasks with great effectiveness and efficiency. Specific topics of our lab include:
• Document classification and summarization
• Present and absent key phrase extraction
• Knowledge graph, entity link prediction and alignment
• Sentiment analysis and emotion detection
• Authorship attribution
Data can be found across different industries and disciplines, and we welcome any who shares an interest in innovating ideas on how data can be exploited. Our lab focuses not only on structured data, but also other forms including the ever-growing natural language tasks. With the growing popularity of large language models (i.e., ChatGPT, Llama2), we also aim to explore not only how it could be utilized, but also the challenges that can be addressed.
Lab Culture and Activities
Once becoming a part of Iwaihara Lab, various supports will be provided to ensure smooth research progress. Our lab is supplied with plenty of resources and equipment to assist with competitive research against the state-of-the-art.
Aside from this, Professor Iwaihara promotes regular communication ranging from progress reports, short updates and one-to-one discussion provided when required. Starting in a new environment could pose some challenges, and we welcome discussions to ensure a comfortable school life outside of the lab.
Between colleagues, we share and discuss research within and across domains. Exchanging insights and providing support during research struggles. Beyond research, we maintain a friendly environment, organizing activities and celebrating colleagues’ milestones in their journey with our lab.
Opportunities
Progress in research is also encouraged to be shared and exchanged beyond the walls of our lab. Iwaihara lab also encourages sharing of insights and results to external organizations, submitting for conferences and journals to gain exposure and obtain feedback from others that will benefit your future endeavors. Not only that, students to have moved on from the journey from the lab also maintain contact, creating a network of connections within the corporate and research world.
We share an interest in data engineering and are excited to see how this area will progress. If your research goals match with ours, we welcome you to Iwaihara lab.
After the completion of Master students final presentation
Lab room
Lab party
