PhD / 10
Wu Wanqi
Risk-Sensitive Stochastic Controls
08/2025 - Present; Funded by NPGS
Supervision & research group
People & ideas.
Doctoral research, undergraduate discovery and the people who make both possible.
Interested in working together?
Prospective students6doctoral researchers
4completed PhDs
48undergraduate project records
12research staff records
Alumni placements below reflect the roles recorded around completion and may not represent current positions. A person may appear in more than one project or appointment.
Current doctoral researchers 6 records
PhD / 9
Zhang Jiahui
Sparse Learning with Differential Privacy
08/2024 - Present; Funded by NTU RSS
Project details, publications & outcomes
- J. Zhang & C.S. Pun. 2026. Differentially Private Lasso: An ISTA Framework with Finite-Iteration Guarantees. Major revision with Statistics & Computing.
PhD / 8
Low Jin Siang
Computational Finance with Machine Learning
01/2024 - Present; Funded by NTU RSS
PhD / 7
Tang Jingxiang
Functional Data Science and Learning Algorithms
08/2022 - Present; Funded by A*STAR QEP 2.0 RSS & SPMS-GTS
Project details, publications & outcomes
- Q. Lei, J. Tang, & C.S. Pun. 2026. Dynamic Mean-Variance Asset Allocation in General Incomplete Markets: A Nonlocal BSDE-based Feedback Control Approach. SIAM Journal on Financial Mathematics. Accepted for publication.
- J.R.T. Chen, E.X. Tan, J. Tang, S.X. Leong, S.K.X. Hue, C.S. Pun, I.Y. Phang*, & X.Y. Ling*. 2025. Machine Learning-Based SERS Chemical Space for Two-Way Prediction of Structures and Spectra of Untrained Molecules. Journal of the American Chemical Society. 147(8), 6654-6664.
- E.X. Tan, J. Tang, Y.X. Leong, I.Y. Phang, Y.H. Lee, C.S. Pun*, & X.Y. Ling*. 2024. Creating 3D Nanoparticle Structural Space via Data Augmentation to Bidirectionally Predict Nanoparticle Mixture's Purity, Size, and Shape from Extinction Spectra. Angewandte Chemie. 63(14), e202317978.
- J. Tang, N.S. Lesmana, & C.S. Pun*. 2024. Navigating the Difficulty of Achieving Global Optimality under Variance-Induced Time Inconsistency. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 686-694. (acceptance rate: 38%)
- Preliminary results of Tang, Lesmana, & Pun (2024) were presented at The 6th International Conference on Econometrics and Statistics (EcoSta 2023) at Tokyo, Japan
PhD / 6
Zhu Dechuan
High-Dimensional Statistics with Constraints
08/2022 - Present; Funded by SPMS-GTS & MOE AcRF Tier 2 PO
Project details, publications & outcomes
- C.S. Pun & D. Zhu. 2026. Constrained Dantzig-type Estimation for High-dimensional Statistical Problems with Equality Constraints. Working paper.
- C.S. Pun & D. Zhu. 2022+. Backtesting Portfolios Made Easy: An Extensive Empirical Study with Market Frictions.
- Preliminary results of Pun & Zhu (2023+) were presented at The 6th International Conference on Econometrics and Statistics (EcoSta 2023) at Tokyo, Japan
PhD / 5
Riasat Ali Istiaque
Generative Models in Finance
08/2021 - Present; Funded by SPMS-GTS & MOE AcRF Tier 2 PO
Project details, publications & outcomes
- R.A. Istiaque & C.S. Pun. 2026. Implicit Generative Models for Moment-Constrained Equivalent Measures and Their Application in Option Pricing. Major revision with Journal of Financial Econometrics.
- R.A. Istiaque, C.S. Pun* & Y.S. Yong. 2025. Stock Market Simulator using Hidden Markov Generative Models and its Application in Risk Measurement. Quantitative Finance. 25(6), 873-893.
- R.A. Istiaque, C.S. Pun*, & Y. Song. 2024. Simulating Asset Prices under Conditional Time-Series GAN. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 770-778.
- Preliminary results of Istiaque, Pun & Yong (2025) were presented at SIAM Conference on Financial Mathematics & Engineering (FM23) at Philadelphia, Pennsylvania, USA.
Doctoral alumni 4 records
PhD / 4
Nixie Sapphira Lesmana
07/2019 - 07/2023, Defended in 01/2024, Conferred in 02/2024; Funded by NPGS
Thesis, publications & next placement
- Thesis Title: Time Inconsistency in Reinforcement Learning: An Equilibrium Control
- Next Placement: Research Fellow at National University of Singapore
- Winner of Poster Competition in Singapore Mathematics Symposium, recognized by Singapore Mathematical Society (2019)
- N.S. Lesmana & C.S. Pun. 2025. Quantile-based Distributional Reinforcement Learning under Cumulative Prospect Theory and its Dynamic Optimality Characterization. Major revision with Management Science.
- N.S. Lesmana & C.S. Pun*. 2025. A Subgame Perfect Equilibrium Reinforcement Learning Approach to Time-inconsistent Problems. SIAM Journal on Financial Mathematics. 16(1), 68-122.
- J. Tang, N.S. Lesmana, & C.S. Pun*. 2024. Navigating the Difficulty of Achieving Global Optimality under Variance-Induced Time Inconsistency. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 686-694.
- M.H.Q. Lim, N.S. Lesmana*, & C.S. Pun. 2024. Autoregressive DRL with Learned Intrinsic Rewards for Portfolio Optimisation. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 353-360.
- J.R. Foo, N.S. Lesmana*, & C.S. Pun. 2023. DRL Trading with CPT Actor and Truncated Quantile Critics. Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF '23).
- N.S. Lesmana, H. Su, & C.S. Pun. 2022. Reinventing Policy Iteration under Time Inconsistency. Transactions on Machine Learning Research. [OpenReview] [Bib] [Code]
- Preliminary results of Lesmana & Pun (2023+) were presented at SIAM Conference on Financial Mathematics & Engineering (FM23) at Philadelphia, Pennsylvania, USA and The 6th International Conference on Econometrics and Statistics (EcoSta 2023) at Tokyo, Japan
- Preliminary results of Lesmana & Pun (2023+) were presented at The 11th Bachelier Finance Society World Congress 2022 (BFS2022) virtually
- Preliminary results of Lesmana & Pun (2025) were presented at SIAM Conference on Financial Mathematics & Engineering (FM21) virtually
PhD / 2
Ye Zi
08/2016 - 08/2021, Defended in 12/2022, Conferred in 12/2022; Funded by NTU RSS
Thesis, publications & next placement
- Thesis Title: Dynamically Optimal Portfolio Selection with Frictions and Portfolio Constraints
- Winner of Poster Competition in Singapore Mathematics Symposium, recognized by Singapore Mathematical Society (2019)
- Next Placement: Risk Manager at OCBC Bank Singapore
- C.S. Pun & Z. Ye. 2022+. Optimal Multi-period S-shaped Utility Maximizing Portfolio with No-Shorting Constraints.
- C.S. Pun & Z. Ye. 2023. Optimal Multi-period Transaction-cost-aware Long-Only Portfolios and Time Consistency in Efficiency. Quantitative Finance. 23(2), 351-365.
- C.S. Pun & Z. Ye. 2022. Optimal Dynamic Mean-Variance Portfolio subject to Proportional Transaction Costs and No-Shorting Constraint. Automatica. 135, 109986.
- Preliminary results of Pun & Ye (2022) were presented at The 12th International Conference on Computational and Financial Econometrics (CFE 2018) at Pisa, Italy and SIAM Conference on Financial Mathematics & Engineering (FM19) at Toronto, Canada.
PhD / 3
Lei Qian
07/2018 - 12/2021, Defended in 06/2022, Conferred in 07/2022; Funded by MOE AcRF Tier 2 RSS
Thesis, publications & next placement
- Q. Lei, J. Tang, & C.S. Pun. 2026. Dynamic Mean-Variance Asset Allocation in General Incomplete Markets: A Nonlocal BSDE-based Feedback Control Approach. SIAM Journal on Financial Mathematics. Accepted for publication.
- Q. Lei & C.S. Pun. 2025. On the Solvability of Equilibrium HJB Equations and Second-order Backward Stochastic Volterra Integral Equations. Submitted.
- Q. Lei & C.S. Pun. 2025. On the Well-posedness of Backward Stochastic Volterra Integral Equations with General Nonlinearities. Submitted.
- Thesis Title: Parabolic Systems and Stochastic Controls: Nonlocality, Nonlinearity, and Time Inconsistency
- Awarded Singapore Mathematical Society Medal in Mathematical Sciences AY2022/23 (Best PhD thesis in Mathematical Sciences at SPMS&NIE@NTU)
- Next Placement: Division Research Fellow (equivalent to Research Assistant Professor) at Division of Mathematical Sciences at NTU Singapore
- Q. Lei & C.S. Pun*. 2024. Nonlocality, Nonlinearity, and Time Inconsistency in Stochastic Differential Games. Mathematical Finance. 34(1), 190-256.
- Q. Lei & C.S. Pun*. 2023. An Extended McKean--Vlasov Dynamic Programming Approach to Robust Equilibrium Controls under Ambiguous Covariance Matrix. Applied Mathematics and Optimization. 88, 91 (46 pages).
- Q. Lei & C.S. Pun. 2023. Nonlocal Fully Nonlinear Parabolic Differential Equations Arising in Time-Inconsistent Problems. Journal of Differential Equations. 358, 339-385.
- Q. Lei & C.S. Pun. 2022. Quasilinearization Methods for Nonlocal Fully-Nonlinear Parabolic Systems. arXiv: 2201.01137.
- Preliminary results of Lei & Pun (2025+) and Lei & Pun (2025+) were presented at The 10th International Symposium on Backward Stochastic Differential Equations at Qingdao, China.
- Preliminary results of Lei & Pun (2023) were presented at Quantitative Methods in Finance (QMF) 2019 Conference at Sydney, Australia
PhD / 1
Chen Yichao
08/2016 - 12/2020, Defended in 05/2021, Conferred in 07/2021; Funded by NTU RSS
Thesis, publications & next placement
- Thesis Title: Non-stationary Functional Time Series and Functional Machine Learning: Inference and Applications
- Next Placement: Research Associate at Department of Statistics at the Chinese University of Hong Kong
- Y. Chen & C.S. Pun. 2026. An LM-Type Unit Root Test for Functional Time Series. Mathematics. 14(5), 916 (38 pages).
- E.X. Tan, Y. Chen, Y.H. Lee, Y.X. Leong, S.X. Leong, C.V. Stanley, C.S. Pun, & X.Y. Ling. 2022. Incorporating Plasmonic Featurization with Machine Learning to Achieve Accurate and Bidirectional Prediction of Nanoparticle Size and Size Distribution. Nanoscale Horizaons. 7, 626-633.
- Y. Chen & C.S. Pun. 2021. R Package "STFTS: Statistical Tests for Functional Time Series". CRAN.
- Y. Chen & C.S. Pun. 2019. A Bootstrap-based KPSS Test for Functional Time Series. Journal of Multivariate Analysis. 174, 104535.
- Preliminary results of Chen & Pun (2019) were presented at The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018) at Pisa, Italy
Research fellows & assistants 12 records
RA / 10
Triscia Katerina Mundo
Quantum Finance
09/2023 - 01/2025
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. at Singapore University of Technology and Design in the field of Quantum Machine Learning
RF / 2
Tushar Vaidya
Quantum Finance
08/2022 - 07/2024, 04/2025 - 05/2025
Project details, publications & outcomes
- J. Doriguello, D. Lim, C.S. Pun, P. Rebentrost, and T. Vaidya. 2025. Quantum Algorithms for the Pathwise Lasso. Quantum. 9, 1674 (54 pages).
RA / 9
Low Jin Siang
Reinforcement Learning in Finance
07/2022 - 01/2024
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Mathematics at NTU Singapore (under my supervision)
RA / 8
Tang Jingxiang
Risk-sensitive Reinforcement Learning
11/2021 - 07/2022
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Mathematics at NTU Singapore (under my supervision)
RA / 7
Zhu Dechuan
Empirical Finance and Constrained Estimation
07/2021 - 07/2022
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Mathematics at NTU Singapore (under my supervision)
- C.S. Pun & D. Zhu. 2021. Python Library "Portfolio Backtester". PyPI.
RA / 6
Riasat Ali Istiaque
Computational Finance
12/2020 - 07/2021
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Mathematics at NTU Singapore (under my supervision)
RA / 3
Brandon Yong Yung Sin
Topological Data Mining, Deep Learning
11/2018 - 11/2020
Project details, publications & outcomes
- Next Placement: Data Analyst at Singapore General Hospital
- R.A. Istiaque, C.S. Pun* & Y.S. Yong. 2025. Stock Market Simulator using Hidden Markov Generative Models and its Application in Risk Measurement. Quantitative Finance. 25(6), 873-893.
- C.S. Pun, Y.S. Yong, & K. Xia. 2020. Weighted-Persistent-Homology-based Machine Learning for RNA Flexibility Analysis. PLOS ONE. 15(8): e0237747.
RA / 4
Liu Ruicheng
Machine Learning and Systemic Risk Measure
12/2018 - 07/2020
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Computer Science at NTU Singapore
- R. Liu & C.S. Pun. 2022. Machine-Learning-enhanced Systemic Risk Measure: A Two-Step Supervised Learning Approach. Journal of Banking and Finance. 136, 106416 (17 pages).
RA / 2
Wang Lei
Machine/Deep Learning and Portfolio Selection
07/2018 - 07/2020
Project details, publications & outcomes
- Next Placement: Pursuing Ph.D. in Economics at Ohio State University
- C.S. Pun* & L. Wang. 2021. A Cost-effective Approach to Portfolio Construction with Range-based Risk Measures. Quantitative Finance. 21(3), 431-447.
- C.S. Pun*, L. Wang, & H.Y. Wong. 2020. Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection. IJCAI '20. 4619-4625.
RA / 5
Kee Yong How
Deep Learning and Option Pricing
02/2019 - 03/2020
Project details, publications & outcomes
- Y.H. Kee & C.S. Pun. 2026. Q-World-Informed Double Neural Networks for Option Pricing PDEs. International Journal of Theoretical and Applied Finance. 29(1–2), 2650009 (25 pages).
RF / 1
Rachana Gupta
Impulse Controls and Stochastic Volatility Asymptotics
06/2018 - 01/2020
Project details, publications & outcomes
- Next Placement: Assistant Professor at Amity University, Mohali Chandigarh
- R. Gupta & C.S. Pun. 2020+. Asymptotic Impulse Control of Interest Rates in a Slowly Varying Stochastic Environment.
RA / 1
Matthew Z. Hadimaja
Statistical Learning Algorithms
08/2017 - 11/2018
Project details, publications & outcomes
- Next Placement: Data Scientist at Holmusk
- C.S. Pun & M.Z. Hadimaja. 2021. A Self-Calibrated Regularized Direct Estimation for Graphical Selection and Discriminant Analysis in High Dimensions. Computational Statistics and Data Analysis. 155, 107105 (20 pages).
- C.S. Pun & M. Z. Hadimaja. 2019. R Package "rDecode: Descent-based Calibrated Optimal Direct Estimation". CRAN.
Undergraduate research 48 records
FYP / 32
Wu Wanqi
Constrained Dantzig-type Estimator (CDE) with k-Support Norm
08/2024 - 05/2025
FYP / 31
Muhammad Firaz Khan Bin Mohmed Jherkan
High-dimensional Precision Matrix Estimation with CDE
08/2024 - 05/2025
FYP / 30
Pham Minh Quan
Functional Kolmogorov-Arnold Networks
08/2024 - 05/2025
URECA / 5
Horstann Ho Rui Yao
GANs for Time Series and Their Applications in Finance
08/2023 - 06/2024
URECA / 4
Lim Li Xiang
On the Second-order Backward Stochastic Volterra Integral Equations
08/2023 - 06/2024
FYP / 29
Magdalene Lim Hui Qi
Dynamic Mechanism Design
08/2023 - 05/2024, co-supervised with Nixie Sapphira LESMANA
Project details, publications & outcomes
- M.H.Q. Lim, N.S. Lesmana*, & C.S. Pun. 2024. Autoregressive DRL with Learned Intrinsic Rewards for Portfolio Optimisation. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 353-360.
FYP / 28
Song Yuli
GANs in Time Series
08/2023 - 05/2024, co-supervised with Riasat Ali ISTIAQUE
Project details, publications & outcomes
- R.A. Istiaque, C.S. Pun*, & Y. Song. 2024. Simulating Asset Prices under Conditional Time-Series GAN. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). 770-778. (acceptance rate: 38%)
FYP / 27
Jeanette Poh Wen Jun
Multivariate Forecasting on Financial Time Series with Transformer Model
08/2022 - 05/2023
FYP / 26
Cheng Zhengxing
Optimal Mean-Variance Portfolio Selection with Mean-Field Reinforcement Learning
08/2022 - 05/2023
FYP(follows URECA / 3) / 25
Marcus Foo Jun Rong
Reinforcement Learning to Decision Making under Risk with Probability Distortion
08/2022 - 05/2023, co-supervised with Nixie Sapphira LESMANA
Project details, publications & outcomes
- J.R. Foo, N.S. Lesmana*, & C.S. Pun. 2023. DRL Trading with CPT Actor and Truncated Quantile Critics. Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF '23).
FYP / 24
Zhou Hanxiao
High-dimensional Data Analysis with Constraints
08/2021 - 05/2022
FYP / 23
Guan Zihang
Learning Optimal Portfolios with Intrinsic Rewards
08/2021 - 05/2022, co-supervised with Nixie Sapphira LESMANA
FYP / 22
Zhang Shizhuo
Profit-Maximizing Sequential Task Allocation with DRL
08/2021 - 05/2022, co-supervised with Nixie Sapphira LESMANA
URECA / 3
Marcus Foo Jun Rong
Integration of Natural Language Processing and Bayesian Decision Making in Finance
08/2020 - 06/2021
Project details, publications & outcomes
- J.R. Foo & C.S. Pun*. 2022. Stock Movement Prediction with Social Sentiments and Interactional Data: Integrating NLP and Bayesian Frameworks. Proceedings of the 4th International Conference on Natural Language Processing (ICNLP '22). 530-536. [Data] [Codes]
URECA / 2
Panwar Samay
Alternative Asset Prices Prediction with Deep Recurrent Neural Networks
08/2020 - 06/2021
FYP / 21
Su Huangyuan
Time-Inconsistent Objectives in Reinforcement Learning
08/2020 - 05/2021, co-supervised with Nixie Sapphira LESMANA
Project details, publications & outcomes
- N.S. Lesmana, H. Su, & C.S. Pun. 2022. Reinventing Policy Iteration under Time Inconsistency. Transactions on Machine Learning Research. [OpenReview] [Bib] [Code]
FYP / 20
Tang Jingxiang
Impacts of Market Impact Costs on Mean-Variance Portfolio Selection
08/2020 - 05/2021
FYP / 19
Chan Zi Hao
Shapley Values with Coalition Structures
08/2020 - 05/2021, co-supervised with LEI Qian
FYP / 18
Yue Ming Long
Reinforcement Learning in Online Principal-Agent Problems
08/2020 - 05/2021, co-supervised with Nixie Sapphira LESMANA
FYP / 17
Li Zhaodonghui
A Self-Calibrated Linear Programming Optimal Estimator in High Dimensions
08/2020 - 05/2021
URECA / 1
Zheng Shunan
Principal-Agent Problems with Model Uncertainty
10/2019 - 06/2020
FYP / 16
Tang Zimo
Applications of Robust Impulse Control in Optimal Inventory Management
08/2019 - 05/2020
FYP / 15
Liu Bingyan
Optimal Option Portfolio Selection with Simulation Techniques
08/2019 - 05/2020
FYP / 14
Godeliva Petrina Marisu
Bayesian Estimation and Optimization for High-Dimensional Portfolio Selection
08/2019 - 05/2020
Project details, publications & outcomes
- G.P. Marisu & C.S. Pun*. 2023. Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios. SIAM Journal on Financial Mathematics. 14(1), 127-157.
FYP / 13
Zhu Jianfei
Penalized quantile regression for ΔCoVaR
01/2019 - 11/2019
FYP / 12
Tan Guan Hoe
Scenario-wise Distributionally Robust Optimization for CVaR
01/2019 - 11/2019, co-supervised with YAN Zhenzhen
FYP / 11
Song Wan Jing
Time-inconsistent Stochastic Linear-Quadratic Control in Continuous Time
08/2018 - 05/2019
FYP / 10
Wong Jing Lun
Portfolio Construction with Optimal Denoising Matrix in L1 Minimization Approach
08/2017 - 05/2018
FYP / 9
Tay Wei Jie Jeremiah
Large-Scale Portfolio Construction with Regularized Regression-Based Methods
08/2017 - 05/2018
FYP / 8
Sun Jingya
Optimal Investment-Reinsurance Strategy on Dynamic Mean Variance Problem with Stochastic Volatility
08/2017 - 05/2018
FYP / 7
Lee Si Xian
Topological Analysis of Protein Structures with Statistical Learning
08/2017 - 05/2018, co-supervised with XIA Kelin
Project details, publications & outcomes
- C.S. Pun*, S.X. Lee, & K. Xia*. 2022. Persistent-Homology-based Machine Learning: A Survey and A Comparative Study. Artificial Intelligence Review. 55, 5169-5213. [Data & Codes]
FYP / 6
Teo Kang Sheng
Structured Product Pricing using Monte-Carlo Simulations
08/2016 - 05/2017
FYP / 5
Soo Wei Shan Doreen
Co-integrated Assets: Identification and Trading
08/2016 - 05/2017
FYP / 4
Leong Wai Leong
Forecasting Multi-dim. Financial Time Series with Multi-Output LS-SVR
08/2016 - 05/2017
FYP / 3
Goh Chian Yi
Empirical Study on Dynamic Trading Strategies with Autoregressive Assets
08/2016 - 05/2017
FYP / 2
Lim Sze Chi
Stock Classification using Support Vector Machines
08/2016 - 05/2017
FYP / 1
Lim Min
Stock Prediction using Artificial Neural Networks
08/2016 - 05/2017
FYP(co-sup) / 5
Tang Yi Qwan
Sentic API Testing for Engagement Measurement
08/2023 - 05/2024, main-supervised by Erik CAMBRIA
FYP(co-sup) / 4
Chua Ming Hui
On Analysing Urban Mobility Data for Smart Cities
08/2022 - 05/2023, main-supervised by LONG Cheng
FYP(co-sup) / 3
Do Xuan Long
Chart2Text
08/2022 - 05/2023, main-supervised by Shafiq Rayhan JOTY
FYP(co-sup) / 2
Yeo Yun Siang Geremie
Data Science related open-ended project
08/2022 - 05/2023, main-supervised by Anwitaman DATTA
FYP(co-sup) / 1
Hoang Nghia Tuyen
Open-domain Question Answering System
08/2021 - 05/2022, main-supervised by Shafiq Rayhan JOTY
SIS / 5
Joshua Shing Jun Le
Virality Analytics
05/2023 - 08/2023
CNY / 1
Rosamund Ang Pei Yin
Callable Structured Product Pricing under Binomial Trees
01/2020 - 05/2020
SIS / 4
Zhang Shizhuo
Deep Reinforcement Learning and its Application in Game Bots
08/2019 - 11/2019
SIS / 3
Tang Qing Xia Farren
Simulation Techniques in Financial Risk Management
01/2017 - 05/2017
SIS / 2
Tay Hui Yi
Data Mining for Marketing
08/2016 - 11/2016
SIS / 1
Lim Jun Jie
Algorithmic Trading
08/2016 - 11/2016
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