TJU RL

LaTeX template for Tianjin University recommendation letters | 天津大学推荐信 LaTeX 模板

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Other

License

Free to use (MIT)

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main.tex

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\documentclass{TJUletter}

% ==========================================
% 1. Sender configuration
% ==========================================
\sendername{Dr. San Zhang}
\sendertitle{Professor}
\senderdept{College of Intelligence and Computing}
\senderemail{san.zhang@tju.edu.cn}
\signaturefile{assets/signature.png}         % Digital signature (optional)

% Enable watermark (Peiyang Hall)
\makeWatermark

% ==========================================
% 2. Letter body
% ==========================================
\begin{document}

% --- Date ---
\hfill \today

% --- Recipient ---
\vspace{1em}
\noindent
\textbf{To: Graduate Admissions Committee} \\
Department of Computer Science \\
Stanford University \\
Stanford, CA 94305, USA

\vspace{2em}
\textbf{Re: Letter of Recommendation for Mx.~Feathbow Shang}

\vspace{1em}
\textbf{Dear Members of the Admissions Committee,}

% --- Body ---
I recommend Mx.~Feathbow Shang for admission to your Ph.D. program in Computer Science. Feathbow stands firmly within the top 5\% of their cohort, exhibiting a rare blend of theoretical depth and engineering pragmatism.

I first encountered Feathbow in my graduate-level course, ``Advanced Algorithms and Data Structures,'' a module known for its heavy reliance on mathematical proofs and computational complexity analysis. They demonstrated an intuitive grasp of the underlying principles and secured a final grade of 95/100, ranking second in a class of 140 students.

Feathbow's research potential became evident when they joined my laboratory in the summer of 2023 to assist with a project funded by the National Natural Science Foundation of China (NSFC), focused on ``Real-time Fluid Simulation for Interactive Graphics.'' Feathbow was tasked with optimizing the performance of our SPH-based solver. They analyzed cache-miss patterns in the neighbor search algorithm, identified memory access bottlenecks, and implemented a spatial hashing approach with SIMD vectorization. The result was a quantified 37\% speedup in frame rendering time without compromising physical accuracy.

Feathbow is a valued member of our academic community at the Peiyangyuan Campus. They are an excellent collaborator and their command of technical English is excellent.

They possess the in\-tel\-lec\-tual curiosity and technical rigor required to thrive in a top-tier research environment. I am confident that they will be a productive researcher from day one. I recommend them to you without reservation.

% --- Signature block ---
\makeSignature

\end{document}
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