Tianjia Ni

Nagoya, Japan - 080-6966-3642 - https://aalex12321.github.io/alexni-cv/

Student Reward Award, Database System Research Group, 2021

Student Reward Award, Database System Research Group, 2022

Outstanding Fellow, Nagoya University Fusion Frontier Fellowship, 2022

China National Scholarship, 2014

The First Prize Scholarship, 2015-2017

Murata Oversea Scholarship Foundation, 2021

Nagoya University Fusion Frontier Fellowship, 2021-2024

Research Assistant, Graduate School of Informatics, 2021-Present 

• Conduct Data Analysis: Perform detailed data analysis, specializing in sensor and geographic data to support research initiatives.
• Assist with Experiments: Actively participate in designing and executing experiments, contributing to both the planning and operational phases.
• Report Progress: Prepare and submit timely reports on work progress, documenting findings and ensuring effective communication with team members and stakeholders.
• Collaborative Role: Work collaboratively within a dynamic research environment, supporting the needs of the research team and contributing to joint goals.

1. Project Name: High-Efficiency Query Processing System

• Project Goal: To develop a universal framework for efficiently processing complex data.
• Role and Implementation: As the project leader and key technical contributor, I led the development of a system capable of efficiently processing different types of data simultaneously—categorical, numerical, and multi-dimensional. My duties involved conducting thorough research and developing optimal sampling calculation methods and static data summarization techniques. I employed Python for statistical analysis and summarization of vast datasets, with the original data and results stored in PostgreSQL. I also crafted the user interface using Python to ensure functionality and ease of use. I also crafted the user interface using Python to ensure functionality and ease of use. I maintained regular meetings with my team to share progress and continuously adapted our research based on their feedback.
• Outcome Evaluation: The project's effectiveness was assessed based on the versatility and data processing efficiency of the developed framework. The system was recognized as a high-versatility hierarchical framework that supports efficient processing of diverse data types.

2. Project Name: Optimal Production Planning System Development Project

• Project Goal: To achieve an optimal schedule for each machine, enhancing flexibility and productivity in part production planning.
• Role and Implementation: My primary role centered around data handling, which involved collecting sensor data in the factory and learning about the configurations of machinery as well as the manufacturing processes of various parts. Utilizing Python, MySQL, and Java, I processed the sensor data to develop a daily optimal production planning system. Specifically, I used Python to calculate the optimal schedules using genetic algorithms, stored the data and results in MySQL, and developed an easy-to-understand user interface with Java.
• Outcome Evaluation: The project's effectiveness was assessed through the usability of the system and the clarity of the production plans displayed in tables and Gantt charts. By coordinating cross-disciplinary collaboration and integrating diverse knowledge bases, I greatly enhanced my communication skills, my ability to collaborate with people from different disciplines, and my capacity to integrate diverse knowledge bases.

3. Project Name: Airline Schedule Optimization Program

• Project Goal: To optimize the flight schedules for an airline.
• Role and Implementation: As the lead analyst and team leader within a group of five members, I managed the data analysis and summarization efforts. My primary responsibilities involved extracting key insights from extensive flight data using Python. I focused on optimizing flight scheduling based on passenger behavior. As a leader, I organized the analysis results logically and developed effective presentation materials. This role was pivotal in enhancing team cohesion and refining our communication skills, demonstrating my ability to effectively lead and coordinate team efforts.
• Outcome Evaluation: Our team successfully completed the presentation and achieved the third-best result in the group competition, reflecting the effectiveness and impact of our analytical work. This experience also allowed me to significantly enhance my communication and leadership abilities.

1.T.Ni, K.Sugiura, Y.Ishikawa, K.Lu, "Guaranteeing an Exact Error Bound for Bounded Approximate Query Processing", Journal of Information Processing, 2024 (accepted).

2. T.Ni, K.Sugiura, Y.Ishikawa, K.Lu, "Approximate Query Processing with Error Guarantees", Big-data-analytics in Astronomy Science and Engineering, LNCS volume 13167, 2022.

3. T.Ni, K.Sugiura, Y.Ishikawa, K.Lu, "Acceleration of Synopsis Construction for Bounded Approximate Query Processing", The DASFAA 2024 Workshop on Emerging Results in Data Science and Engineering, 2024 (accepted).

4. 倪 天嘉，杉浦 健人，石川 佳治，陸 可鏡，「近似的問合せ処理におけるシノプシス構築の高速化」，第15回データ工学と情報マネジメントに関するフォーラム，2a-1-4，2023．

5. 倪 天嘉，杉浦 健人，石川 佳治，陸 可鏡，「近似的問合せ処理における問合せ高速化のための誤差保証条件の検討」，第175回データベースシステム研究発表会，A3-2，2022．学生奨励賞

6. 倪 天嘉，杉浦 健人，石川 佳治，陸 可鏡，「シノプシスの最適化に基づく近似問合せ処理の高速化」，第14回データ工学と情報マネジメントに関するフォーラム，K31-4，2022．

7. 倪 天嘉，杉浦 健人，石川 佳治，陸 可鏡，「シノプシスに基づく近似問合せ処理における誤差保証の検討」，第174回データベースシステム研究発表会，1-(2)，2021．学生奨励賞

8. 倪 天嘉，杉浦 健人，石川 佳治，陸 可鏡，「誤差の保証がある近似的問合せ処理に関する研究」，第20回情報科学技術フォーラム， 4d-2，2021．

9. 倪 天嘉，杉浦 健人，石川 佳治，「誤差を保証する近似的問合せ処理」，第13回データ工学と情報マネジメントに関するフォーラム，B11-2，2021．

倪 天嘉，石川 佳治，杉浦 健人，「機械学習を用いた近似的問合せ処理」，第19回情報科学技術フォーラム，2C-2，2020．

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