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\date{January 2024} | ||
\date{May 2024} | ||
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\usepackage{paralist,ragged2e,datetime} | ||
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\LARGE\textbf{\@name} | ||
\\[0.7cm] | ||
\normalsize\textbf{Curriculum Vitae}\\ | ||
\normalsize January 2024 | ||
\normalsize May 2024 | ||
\end{tabular} | ||
\hfill\hbox{\fontsize{9}{12}\sf | ||
\begin{tabular}{@{}rl@{}} | ||
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\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman, | ||
R. J. (2022). Distortion-corrected kernel density estimate on Riemannian | ||
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\hangindent=2em\hangafter=0 manifolds. | ||
\hangindent=2em\hangafter=0 manifolds. (Under review) | ||
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\hangindent=0.5em\hangafter=0 Cheng, F., Hyndman, R. J., \& | ||
Panagiotelis, A. (2021). Computationally Efficient Learning of | ||
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Telephone: +61 2 9114 4742 | ||
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\thispagestyle{empty} | ||
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\section{Education and | ||
qualifications}\label{education-and-qualifications-1} | ||
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\begin{tabular}{lll} | ||
2019--2023 & Ph.D. in Statistics & Monash University, Australia \\ | ||
& Thesis: & \emph{Manifold Learning on Empirical Probability Distributions} \\ | ||
& Supervisors: & \href{https://robjhyndman.com/}{Prof. Rob J Hydman} and \href{https://anastasiospanagiotelis.netlify.app/}{A/Prof. Anastasios Panagiotelis} \\ | ||
2016--2018 & M. in Applied Statistics & Central University of Finance and Economics, China \\ | ||
& Supervisor: & \href{https://feng.li/}{A/Prof. Feng Li} \\ | ||
2012--2016 & B.Ec in Statistics & Central University of Finance and Economics, China \\ | ||
\end{tabular} | ||
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\section{Working papers}\label{working-papers-1} | ||
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\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman, | ||
R. J. (2022). The effect of COVID-19 lockdowns on electricity demand in | ||
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\hangindent=2em\hangafter=0 Melbourne. | ||
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\hangindent=0.5em\hangafter=0 Cheng, F., Panagiotelis, A., \& Hyndman, | ||
R. J. (2022). Distortion-corrected kernel density estimate on Riemannian | ||
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\hangindent=2em\hangafter=0 manifolds. (Under review) | ||
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\hangindent=0.5em\hangafter=0 Cheng, F., Hyndman, R. J., \& | ||
Panagiotelis, A. (2021). Computationally Efficient Learning of | ||
Statistical Manifolds. arXiv | ||
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\hangindent=2em\hangafter=0 preprint arXiv:2103.11773. (Under review) | ||
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\section{Research experience}\label{research-experience-1} | ||
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\begin{tabular}{ll} | ||
2018.07--2019.01 & \textbf{Research Assistant}, National Natural Science Foundation of China Project \\ | ||
\end{tabular} | ||
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\begin{itemize} | ||
\tightlist | ||
\item | ||
Assisted in the project \emph{Efficient Bayesian Flexible Density | ||
Methods with High Dimensional Financial Data}. | ||
\item | ||
Completed the stochastic gradient descent application of housing price | ||
to the multivariate response surface model. | ||
\item | ||
Completed the thesis titled \emph{Volatility Analysis of Housing | ||
Prices with Bayesian Response Surface Optimization}. | ||
\end{itemize} | ||
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\begin{tabular}{ll} | ||
2013.04--2014.04 & \textbf{Main Participant}, National Undergraduate Innovation and Entrepreneurship Training Program of China \\ | ||
\end{tabular} | ||
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\begin{itemize} | ||
\tightlist | ||
\item | ||
Initiated a municipal project, made overall arrangements for the | ||
project, from research proposal, project fund application, plan of the | ||
theoretical approaches and empirical analysis of the questionnaire | ||
data. | ||
\item | ||
Won the Excellent Prize upon the accomplishment of the research | ||
project. | ||
\item | ||
Completed the paper titled \emph{Feasibility Analysis for Developing | ||
Commercial Insurance for Losing Only-child Problem}. | ||
\end{itemize} | ||
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\section{Employment history}\label{employment-history-1} | ||
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\begin{tabular}{ll} | ||
2022.10-- & \textbf{Senior Research Officer}, Bureau of Crime Statistics and Research, Department of Communities and Justice \\ | ||
2020.07--2023.07 & \textbf{Teaching Associate}, Department of Econometrics and Business Statistics, Monash University \\ | ||
& - \href{https://handbook.monash.edu/2021/units/ETC5513?year=2021}{ETC5513 Collaborative and reproducible practices, 2021S1, 2022S1, 2023S1} \\ | ||
& - \href{https://handbook.monash.edu/2021/units/ETC5523?year=2021}{ETC5523 Communicating with data, 2021S2} \\ | ||
& - \href{https://handbook.monash.edu/2020/units/ETF5500?year=2020}{ETF3500/ETF5500 High Dimensional Data Analysis, 2020S2, 2021S2} \\ | ||
2019.07-- & \textbf{Data Fluency Associate Instructor}, Library Research Division, Monash University Library \\ | ||
& - \href{https://www.monash.edu/data-fluency/home}{Monash Data Fluency introductory and intermidiate workshops} on R, Python, Git, Unix, HPC, etc. \\ | ||
2020.07--2020.12 & \textbf{Course Mentor}, Monash University Online Microcredential \href{https://www.futurelearn.com/microcredentials/data-driven-decision-making?utm_source=faculty_website&utm_medium=monash_organic_referrer&utm_campaign=mc_jan}{\textit{Data Science: Data-Driven Decision Making}} \\ | ||
\end{tabular} | ||
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\section{Conference presentations}\label{conference-presentations-1} | ||
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\hangindent=5em\hangafter=0 | ||
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\begin{itemize} | ||
\item | ||
Invited talk, Anomaly detection and forecasting using machine learning | ||
methods, | ||
\href{http://www.cfenetwork.org/CFE2022/index.php}{The 16th International Conference on Computational and Financial Econometrics (CFE 2022)}, | ||
King's College London, UK, December 17-19, 2022. | ||
\item | ||
Contributed talk, Anomaly detection with kernel density estimation on | ||
manifolds, | ||
\href{http://www.compstat2022.org/index.php}{The 24th International Conference on Computational Statistics}, | ||
The University of Bologna, Italy, August 23-26, 2022. | ||
\item | ||
Contributed talk, Manifold learning with approximate nearest | ||
neighbors, | ||
\href{http://ecssc2021.com.au/}{Early Career and Student Statisticians Conference 2021}, | ||
online, July 30, 2021. | ||
\item | ||
Participants talk, Manifold learning with approximate nearest | ||
neighbors, | ||
\href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute (AMSI) Winter School 2021}, | ||
online, July 16, 2021. | ||
\item | ||
Short interactive talk, Computationally efficient learning of | ||
statistical manifolds, | ||
\href{https://iasc-isi.org/dssv-ecda2021/}{Data Science, Statistics and Visualisation (DSSV) and European Conference on Data Analysis (ECDA)}, | ||
online, July 8, 2021. | ||
\item | ||
Contributed talk, Manifold learning with approximate nearest | ||
neighbors, | ||
\href{https://anzsc2021.com.au/}{Australian Statistical Society and New Zealand Statistical Association Conference 2021}, | ||
Melbourne (Hybrid), July 6, 2021. | ||
\item | ||
Contributed talk, Getting it right: improving forecast accuracy and | ||
learning techniques Session, Monash Business School Doctoral Research | ||
Colloquium, Melbourne, December 6, 2020. | ||
\end{itemize} | ||
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\section{Internship experience}\label{internship-experience-1} | ||
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\begin{tabular}{ll} | ||
2016.09--2017.09 & \textbf{Big Data Analyst}, Shanghai Power Xene Digital Technology Company, Beijing, China \\ | ||
2016.03--2016.04 & \textbf{Research Assistant}, China Life Insurance Company Limited, Beijing, China \\ | ||
2015.01--2015.02 & \textbf{Consultant Assistant}, Industrial and Commercial Bank of China (ICBC), Hubei, China \\ | ||
\end{tabular} | ||
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\section{Society memberships}\label{society-memberships-1} | ||
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\begin{tabular}{ll} | ||
Member & Statistical Society of Australia (SSA) \\ | ||
Member & International Association for Statistical Computing (IASC) \\ | ||
Member & Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) \\ | ||
\end{tabular} | ||
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\section{Computer skills}\label{computer-skills-1} | ||
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\begin{tabular}{l} | ||
Proficient in R, Git/GitHub, LaTex \\ | ||
Skilled in GNU/Linux and have experience on high performance Linux clusters \\ | ||
Intermediate in Python, HTML/CSS \\ | ||
\end{tabular} | ||
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\section{Honours and awards}\label{honours-and-awards-1} | ||
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\begin{tabular}{rl} | ||
2022 & Graduate Research Completion Award (GRCA), Monash University \\ | ||
2022 & Purple Letter (Outstanding Unit Evaluation of Teaching) for Tutoring ETC5513 2022S1, Monash Business School \\ | ||
2022 & Purple Letter for Tutoring ETF3500 2021S2, Monash Business School \\ | ||
2021 & Purple Letter for Tutoring ETC5513 2021S1, Monash Business School \\ | ||
2021 & Runner-up for AMSI Winter School Participants Talk, \href{https://ws.amsi.org.au/}{Australian Mathematical Sciences Institute} \\ | ||
2021 & ACEMS Business Analytics Prize(\$3000) for 2021, \href{https://acems.org.au}{ARC Centre of Excellence for Mathematical \& Statistical Frontiers} \\ | ||
2019 & Monash Graduate Scholarship, Monash University, yearly from 2019 to 2022 \\ | ||
2019 & Monash International Tuition Scholarship, Monash University, yearly from 2019 to 2022 \\ | ||
2018 & Outstanding Postgraduate Student, Central University of Finance and Economics (CUFE) \\ | ||
2017 & First Prize Academic Scholarship for Graduate Student, CUFE \\ | ||
2016 & Outstanding Undergraduate Student, CUFE \\ | ||
2016 & Scholarship for All-Round Development, CUFE, yearly from 2013 to 2016 \\ | ||
2016 & Scholarship for Excellent Academic Innovation, CUFE \\ | ||
2015 & Excellent Prize in National Undergraduate Statistical Contest in Modeling, Statistical Education Society of China \\ | ||
2015 & Second Prize in Contemporary Undergraduate Mathematical Contest in Modeling, China Society for Industrial \\ | ||
& and Applied Mathematics \\ | ||
2015 & National Endeavor Scholarship, Beijing Municipal Commission of Education \\ | ||
2014 & Scholarship for Excellent Student Cadre, CUFE \\ | ||
2013 & Excellent Student Cadre, School of Statistics and Mathematics, CUFE \\ | ||
\end{tabular} | ||
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\section{Referees}\label{referees-1} | ||
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\href{https://robjhyndman.com/}{Professor Rob J Hyndman} | ||
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FAA FASSA | ||
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Department of Econometrics and Business Statistics | ||
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Monash University, VIC 3800, Australia | ||
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Email: | ||
\href{mailto:[email protected]}{\nolinkurl{[email protected]}} | ||
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Telephone: + 61 3 990 52358 | ||
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\bigskip | ||
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\href{https://anastasiospanagiotelis.netlify.app/}{Associate Professor Anastasios Panagiotelis} | ||
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Director of the International Institute of Forecasters | ||
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Discipline of Business Analytics | ||
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University of Sydney, NSW 2006, Australia | ||
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Email: | ||
\href{mailto:[email protected]}{\nolinkurl{[email protected]}} | ||
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Telephone: +61 2 9114 4742 | ||
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\end{document} |
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