Dr LING, Man Ho Alpha   凌萬豪
Associate Professor
Department of Mathematics and Information Technology
Phone No: (852) 2948 7815
Email: amhling@eduhk.hk
Contact
ORCiD
0000-0002-9954-8302
Phone
(852) 2948 7815
Email
amhling@eduhk.hk
Scopus ID
26423822200
Research Interest
  • Lifetime data analysis in reliability & survival studies
  • Degradation data analysis
  • Statistical inference under censoring
  • Statistical computing
External Appointment
  1. Membership Secretary, The Hong Kong Statistical Society (HKSS), since 2017
  2. Editorial Board Member, Communications in Statistics - Theory and Methods, since 2017
  3. Editorial Board Member, Communications in Statistics - Simulation and Computation, since 2017
  4. Editorial Board Member, Communications in Statistics - Case Studies, Data Analysis and Applications, since 2017
  5. Editorial Board Member, International Journal of Applied & Experimental Mathematics, since 2016
  6. Organizing Committee Member, Mathematics Project Competition for Secondary Schools, 2015-2019
  7. Organizing Committee Member, The Hong Kong Mathematics Olympiad, 2015-2019
Professional Profile

Education

  • Ph.D., McMaster University

Thesis Title: Inference for One-Shot Device Testing Data (Advisor: Prof. N. Balakrishnan)

  • M.Phil., Hong Kong Baptist University

Thesis Title: Full Friendly Index Sets of Cartesian Product of Two Cycles (Advisors: Dr. W.C. Shiu and Prof. M.L. Tang)

  • B.Sc. in Mathematics & Statistics, Hong Kong Baptist University

Employment

  • Associate Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong, since Jul 2020
  • Assistant Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong, Jul 2015 - Jun 2020
  • Lecturer, Department of Mathematics and Information Technology, The Education University of Hong Kong, Aug 2013 - Jun 2015
  • Research Fellow, Department of Systems Engineering and Engineering Management, The City University of Hong Kong, Apr 2013 – July 2013
  • Post Doctoral Fellow, Department of Systems Engineering and Engineering Management, The City University of Hong Kong, Aug 2012 – Mar 2013
Research Interest

  • Lifetime data analysis in reliability & survival studies
  • Degradation data analysis
  • Statistical inference under censoring
  • Statistical computing
External Appointment

  1. Membership Secretary, The Hong Kong Statistical Society (HKSS), since 2017
  2. Editorial Board Member, Communications in Statistics - Theory and Methods, since 2017
  3. Editorial Board Member, Communications in Statistics - Simulation and Computation, since 2017
  4. Editorial Board Member, Communications in Statistics - Case Studies, Data Analysis and Applications, since 2017
  5. Editorial Board Member, International Journal of Applied & Experimental Mathematics, since 2016
  6. Organizing Committee Member, Mathematics Project Competition for Secondary Schools, 2015-2019
  7. Organizing Committee Member, The Hong Kong Mathematics Olympiad, 2015-2019
Selected Output

Scholarly Books, Monographs and Chapters
Ling, M.H., Balakrishnan, N. (2021). Recent developments in accelerated life testing data analyses for one-shot devices. In Pham, Hoang (Ed.), Springer Handbook of Engineering Statistics, 2nd ed (1-36). accepted: Springer Nature.
Ling, M.H., Hu X.W. (2021). A Bayesian approach for step-stress accelerated life-tests for one-shot devices under exponential distributions. In Lio, Yuhlong, Chen, Ding-Geng, Ng, Hon Keung Tony, Tsai, Tzong-Ru (Eds.), Bayesian Inference and Computation in Reliability and Survival Analysis (21-30). accepted: Springer.
Ling, M.H., So, H.Y., Balakrishnan, N. (2021). A Bayesian approach for the analysis of tumorigenicity data from sacrificial experiments under Weibull lifetimes. In Lio, Yuhlong, Chen, Ding-Geng, Ng, Hon Keung Tony, Tsai, Tzong-Ru (Eds.), Bayesian Inference and Computation in Reliability and Survival Analysis (1-20). accepted: Springer.
Balakrishnan, N., Ling, M.H., So, H.Y. (2021). Accelerated Life Testing of One-shot Devices: Data Collection and Analysis. Hoboken, New Jersey: John Wiley & Sons.
Ling, M.H., Ng, H.K.T., Tsui, K.L. (2017). Inference on remaining useful life under gamma degradation models with random effects. In Chen, Ding-Geng, Lio, Yuhlong, Ng, Hon Keung Tony, Tsai, Tzong-Ru (Eds.), Statistical Modeling for Degradation Data (253-266). Singapore: Springer, Singapore.
Poon, L. K. M., Kong, S. C., Yau, T. S. H., Wong, M., & Ling, M. H. (2017). Learning analytics for monitoring students’ participation online: Visualizing navigational patterns on learning management system. In S. K. Cheung, L.-F. Kwok, W. W. Ma, L.-K. Lee, & H. Yang (Eds.), Blended Learning. New Challenges and Innovative Practices. ICBL 2017. LNCS, vol 10309 (pp. 166-176). Cham: Springer.
Balakrishnan, N., Ling, M.H., So, H.Y. (2016). Constant-stress accelerated life-test models and data analysis for one-shot devices. In Fiondella, L., Puliafito, A. (Eds.), Principles of Performance and Reliability Modeling and Evaluation (77-108). Switzerland: Springer, Cham.

Journal Publications
Lin, C.P., Ling, M.H., Cabrera, J., Yang, F.F., Yu, Y.W., Tsui, K.L. (2021). Prognostics for lithium-ion batteries using a two-stage gamma degradation process model. Reliability Engineering and System Safety, accepted, 1-30.
Lin, C.T., Balakrishnan, N., Ling, M.H. (2020). Exact tests for outliers in Laplace samples. Communications in Statistics – Simulation and Computation, accepted, 1-10.
Ling, M.H., Chan, P.S., Ng, H.K.T., Balakrishnan, N. (2020). Copula models for one-shot device testing data with correlated failure modes. Communications in Statistics – Theory and Methods, accepted, 1-10.
Lin, C.P., Cabrera, J., Yang, F.F., Ling, M.H., Tsui, K.L., Bae, S.J. (2020). Battery state of health modeling and remaining useful life prediction through time series model. Applied Energy, 275, 1-45.
Ling, M.H., Hu, X.W. (2020). Optimal design of simple step-stress accelerated life test for one-shot devices under Weibull distributions. Reliability Engineering & System Safety, 193, 1-10.
Hsu, M.H.K., Ling, M.H (2019). Nursing students' attitudes towards older people and future career choices in Macao - A Pilot Study. Journal of Nursing Education and Practice, 9, 10-19.
Ling, M.H., Ng, H.K.T., Tsui, K.L. (2019). Bayesian and likelihood inferences on remaining useful life in two-phase degradation models under gamma process. Reliability Engineering & System Safety, 184, 77-85.
Hsu, M.H.K., Ling, M.H., Lui, T.L. (2019). Relationship between gerontological nursing education and attitudes toward older people. Nurse Education Today, 74, 85-90.
Ling, M.H. (2019). Optimal design of simple step-stress accelerated life test for one-shot devices under exponential distributions. Probability in the Engineering and Informational Sciences, 33, 121-135.
Ng, H.K.T., Ling, M.H., Chan, P.S. (2018). A gamma process modeling approach for comparison of dissolution profiles. Drug Development and Industrial Pharmacy, 44, 553-562.
Ling, M.H., Balakrishnan, N. (2017). Model mis-specification analyses of Weibull and gamma models for one-shot device testing data. IEEE Transactions on Reliability, 66, 641-650.
Ling, M.H., Wong, S.Y., Tsui, K.L. (2017). Efficient heterogeneous sampling for stochastic simulation with an illustration in healthcare applications. Communications in Statistics – Simulation and Computation, 46, 631-639.
Shen, X.B., Wong, S.Y., Ling, M.H., Goldsman, D., Tsui, K.L. (2016). Comparison of algorithms to simulate disease transmission. Journal of Simulation, 11, 285-294.
Balakrishnan, N., So, H.Y., Ling, M.H. (2016). A Bayesian approach for one-shot device testing with exponential lifetimes under competing risks. IEEE Transactions on Reliability, 65, 469-485.
Ling, M.H., Ng, H.K.T., Chan, P.S., Balakrishnan, N. (2016). Autopsy data analysis for a series system with active redundancy under a load-sharing model. IEEE Transactions on Reliability, 65, 957-968.
Ling, M.H., So, H.Y., Balakrishnan, N. (2016). Likelihood inference under proportional hazards model for one-shot device testing. IEEE Transactions on Reliability, 65, 446-458.
Balakrishnan, N., So, H.Y., Ling, M.H. (2016). EM algorithm for one-shot device testing with competing risks under Weibull distribution. IEEE Transactions on Reliability, 65, 973-991.
Ling, M.H., Tsui, K.L., Balakrishnan, N. (2015). Accelerated degradation analysis for the quality of a system based on the gamma process. IEEE Transactions on Reliability, 64, 463-472.
Balakrishnan, N., So, H.Y., Ling, M.H. (2015). EM algorithm for one-shot device testing with competing risks under exponential distribution. Reliability Engineering & System Safety, 137, 129-140.
Balakrishnan, N., Ling, M.H. (2014). Best constant-stress accelerated life-test plans with multiple stress factors for one-shot device testing under Weibull distribution. IEEE Transactions on Reliability, 63, 944-952.
Hui Yang; Kundakcioglu, E. ; Jing Li ; Wu, T. ; Mitchell, J.R. ; Hara, A.K. ; Pavlicek, W. ; Hu, L.S. ; Silva, A.C. ; Zwart, C.M. ; Tunc, S. ; Alagoz, O. ; Burnside, E. ; Chaovalitwongse, W.A. ; Presnyakov, G. ; Cao, Y. ; Sujitnapitsatham, S. ; Daehan Won ; Madhyastha, T. ; Weaver, K.E. ; Borghesani, P.R. ; Grabowski, T.J. ; Lianjie Shu ; Man Ho Ling ; Shui-Yee Wong ; Kwok-Leung Tsui (2014). Healthcare intelligence: turning data into knowledge. IEEE Intelligent Systems, 29(3), 54-68.
Balakrishnan, N., Ling, M.H. (2014). Gamma lifetimes and one-shot device testing analysis. Reliability Engineering and System Safety, 126, 54-64.
Balakrishnan, N., Ling, M.H. (2013). Expectation maximization algorithm for one shot device accelerated life testing with Weibull lifetimes, and variable parameters over stress. IEEE Transactions on Reliability, 62, 537-551.
Balakrishnan, N., Ling, M.H. (2012). Multiple-stress model for one-shot device testing data under exponential distribution. IEEE Transactions on Reliability, 61, 809-821.
Balakrishnan, N., Ling, M.H. (2012). EM algorithm for one-shot devices testing under the exponential distribution. Computational Statistics & Data Analysis, 56, 502-509.
Shiu, W.C., Ling, M.H. (2010). Full friendly index sets of Cartesian products of two cycles. Acta Mathematica Sinica-English Series, 26, 1233-1244.
Tang, M.L., Ling, M.H., Ling, L., Tian, G.L. (2010). Confidence intervals for a difference between proportions based on paired data. Statistics in Medicine, 29, 86-96.
Tang, M.L., Ling, M.H., Tian, G.L. (2009). Exact and approximate unconditional confidence intervals for proportion difference in the presence of incomplete data. Statistics in Medicine, 28, 625-641.
Shiu, W.C., Ling, M.H., Low, R.M. (2008). The edge-graceful spectra of connected bicyclic graphs without pendant. Journal of Combinatorial Mathematics and Combinatorial Computing, 66, 171-185.

Project

Establishing a Research Cluster for Promoting Artificial Intelligence in Technology-Enhanced Language Learning (AI-TELL) Research
This project aims to propose and establish a research cluster to promote artificial intelligence in technology-enhanced language learning (hereafter, AI-TELL) research in Hong Kong. The ultimate goal of the proposed AI-TELL research cluster is to identify and bridge the gap between AI techniques and TELL towards developing pedagogical innovations to enhance language learning.
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing 鄭國城 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Facilitating Artificial Intelligence and Big Data Analytics Research in Education
This project aims to develop AI in education and big data analytics in education as the departmental strategic areas. It is also planned to facilitate the development of the two areas through various related research activities, which include organizing research seminars, undertaking collaborative research, and inviting world-leading scholars for discussion and consultation
Project Start Year: 2020, Principal Investigator(s): CHENG, Kwok Shing 鄭國城 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Healthy Ageing and Well-Being among Older People and Health Study Students' Attitudes toward Older People in Macao
The overall purpose is to explore the status, relationship, and related factors between healthy ageing and wellbeing among older people in Macao.
Project Start Year: 2020, Principal Investigator(s): Dr. Hsu, Mei Hua Kerry (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Automatic Assessment Score Analysis
The project creates Automatic Assessment Score Analysis (AASA) software to analyze properly scores of test questions, essays, etc. AASA requires zero statistics/computer knowledge and uses teachers’ existing data on their students’ scores. AASA applies cutting-edge statistics to assess students accurately and produce an easy-to-understand report that (a) sorts students (lowest to highest learning outcomes), (b) sorts questions from easiest to hardest (poorly- to well-understood ideas), and (c) s . . .
Project Start Year: 2019, Principal Investigator(s): CHIU, Ming Ming (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Developing Item Response Models with Copula Models for Data with Local Item Dependence
..
Project Start Year: 2019, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Enhancing Pupils’ English Vocabulary Learning in a Seamless Learning Environment Supported by an Augmented Reality App
This Departmental Collaborative Research Fund project aims to develop an AR app to help learners learn vocabulary in an immersive and seamless learning environment, allow them to generate their own vocabulary learning content, increase their interaction with real objects without time and place constraints, provide opportunities for retention of the target vocabulary with the combination of picture and text media, and document their learning trails for pedagogical decision making via learning ana . . .
Project Start Year: 2019, Principal Investigator(s): SONG, Yanjie 宋燕捷 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Enhancing Students’ Mathematics Learning through Instructional STEM Activities with Mathematical Modeling
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Project Start Year: 2019, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Infuse STEM/STEAM elements into Mathematics and Information Technology Courses
This project aims to infuse STEM/STEAM elements into our subject-based courses in Mathematics and Information Technology courses. For each learning area of the subject-based courses, a relevant exemplar will be established to integrate STEM/STEAM elements into the teaching and learning of the subject. Instructional materials for each exemplar will be designed and implemented by a team of developers in consultation with the project’s supervisors. The materials will be freely available online to t . . .
Project Start Year: 2019, Principal Investigator(s): SO, Wing Wah Simon 蘇永華 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Investigating the Essential Components of Mathematical Modeling as a Bridge to Cross Disciplinary STEM Integration in Mathematics Teachers' Education
We are inspired by the research report of Cai, et al (2014) on calling for research on learning and teaching of mathematical modeling in the three out of five perspectives, namely: mathematics, instructional, and teacher education. In this study, we measure how competent prospective, or fresh mathematics teachers are in certain areas of mathematics subject matter knowledge (SMK) and pedagogical content knowledge (PCK), which are decisive for quality teaching, while their knowledge of mathematica . . .
Project Start Year: 2019, Principal Investigator(s): LEUNG KUI CHIU, ISSIC 梁鉅超 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Investigation on Estimation Methods for Weibull Distributions with a Threshold Parameter Based on One-Shot Device Testing Data
In reliability studies, as it is reasonable to assume that there is a nonzero origin below which no event can occur, Weibull distribution with an unknown location (threshold) parameter is suitable for data analysis. To the best of our knowledge, no published study has examined estimation methods for the three-parameter Weibull distributions based on binary data arising from one-shot devices collected from accelerated life tests. In this project, we will investigate three-parameter Weibull distri . . .
Project Start Year: 2019, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
A Study of Online Evidence-based Assessment System to Promote Collaborative and Cooperative Learning in Group Activities
Many courses involve group projects and/or activities to let students to collaborate and work together to solve problems. However, it is not easy to ensure all students are actively contributed and collaborate with each other to complete the project. As teachers usually collect the final outcome and mark it as a whole, it is difficult to assess the group project fairly within a group if the workload is unevenly distributed. In this project, we proposed to use “An Online Evidence-based Assessment . . .
Project Start Year: 2018, Principal Investigator(s): LAM, Wai Man Winnie 林惠民 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Development of E-learning Package to Enhance Learning and Teaching Probability and Statistics
Innovative digital learning objects will be developed with a powerful statistical tool, R, and an appropriate curriculum will be designed in this project, to facilitate teaching and learning of probability distributions.
Project Start Year: 2018, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪, YEE, Tat Leung 余達良, CHEUNG, Ka Luen 張家麟
 
On the Use of Copulas in One-Shot Device Testing Data with Multiple Failure Modes
Due to an increasing demand for appropriate probabilistic models for analyzing one-shot device data with multiple failure modes collected from accelerated life-tests, it is of great interest to develop copula models that can capture the association among the failure modes and provide more accurate reliability estimation under normal operating conditions.
Project Start Year: 2018, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Investment Pattern and Performance of Mandatory Provident Fund Scheme Members: A Historical Administrative Record Analysis
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Project Start Year: 2016, Principal Investigator(s): CHOU, Kee Lee 周基利 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems
The project aims to extend the advantage of Hong Kong by establishing it as a center of expertise in the safety, reliability, and efficient management of complex networking systems.
Project Start Year: 2016, Principal Investigator(s): TSUI, Kwok Leung (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Advanced Statistical Models for Accelerated Life Testing Data of One-Shot Devices
The objective of this research is to accurately demonstrate the reliability characteristics of one-shot devices from data collected from accelerated life testing.
Project Start Year: 2015, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Good Teaching Practice – Incorporation of Development of Generic Skills into Course Teaching at Higher Education Context
The present project is related to Community of Practice (CoP). It aims to promote good teaching practice with the focus of incorporating the generic intended learning outcomes (GILOs) in course teaching and develop a peer sharing atmosphere on campus. It engages our colleagues in sharing and exchanging their teaching experience through an online platform.
Project Start Year: 2015, Principal Investigator(s): CHENG, May Hung May 鄭美紅 (LING, Man Ho Alpha 凌萬豪 as Team Member)
 
故障预测和系统健康管理的贝叶斯推断 (Bayesian Inference for Prognostics and System Health Management)
This project is concerned with some fundamental issues of statistical analysis for remaining useful life estimation for prognostics and system health management (PHM). Due to sophisticated modeling of high reliable components and systems, classical approach may fail or become difficult for making inference on remaining useful life. The main objective of this project is to make Bayesian inference for complicated models in PHM that classical approach is difficult for implementation.
Project Start Year: 2015, Principal Investigator(s): TSUI, Kwok Leung (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Developing and Evaluating a Learning Analytics Platform to Support University Teachers for Pedagogical Decision-making in Fostering Reflective Engagement of Students
The project aims to develop a learning analytics platform conducive to data-oriented decision-making; to evaluate the impact of a learning analytics platform on facilitating reflective engagement of students in the learning process; and to evaluate the impact of a learning analytics platform on teachers’ pedagogical decision making. The expected outcomes include a deliverable learning analytics platform, which can help teachers gain a better understanding of students’ learning process, and ident . . .
Project Start Year: 2014, Principal Investigator(s): KONG, Siu Cheung 江紹祥, SONG, Yanjie 宋燕捷, POON, Kin Man 潘建文 (LING, Man Ho Alpha 凌萬豪 as Co-Investigator)
 
Semi-parametric inference for one-shot device testing data
The main purpose of this research is to develop semi-parametric models that help engineers and scientists to analyze one-shot device testing data collected from accelerated life testing.
Project Start Year: 2014, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Statistical inference on system reliability with redundancy
This project is to develop statistical methods to estimate the reliability of system with redundancy
Project Start Year: 2014, Principal Investigator(s): LING, Man Ho Alpha 凌萬豪
 
Prizes and awards

Gold Medal @ International Innovation and Invention Competition (IIIC) Taiwan 2020

Date of receipt: 16/11/2020, Conferred by: International Innovation and Invention Competition (IIIC) Taiwan 2020
 
Silver Medal
In iCAN 2019, EdUHK showcased four edtech innovations and the GMoodle system for assessment automation has been awarded with two prizes: silver medal and special award. The GMoodle system is developed for assessment of collaborative learning. The whole process of collaboration is recorded by the system to provide an objective measure and fair evaluation to reflect the actual contribution of each student in a group project.
Date of receipt: 24/8/2019, Conferred by: The International Invention Innovation Competition in Canada (iCAN) 2019
 
Special Inventor Award
In iCAN 2019, EdUHK showcased four edtech innovations and the GMoodle system for assessment automation has been awarded with two prizes: silver medal and special award. The GMoodle system is developed for assessment of collaborative learning. The whole process of collaboration is recorded by the system to provide an objective measure and fair evaluation to reflect the actual contribution of each student in a group project.
Date of receipt: 24/8/2019, Conferred by: The International Invention Innovation Competition in Canada (iCAN) 2019
 
Research Output Prize

Date of receipt: 14/3/2017, Conferred by: The Education University of Hong Kong