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Personal profile

Biography

David Albrecht started in the Faculty of Information Technology in 1994. He has done research in several areas including Machine Learning, Bayesian Networks, User Modelling, Geostatistics, Logic, Functional Operator Theory, and Statistics. He is currently jointly supervising three Ph.D. students and two Masters students. He has two honours degrees and a Ph.D in Mathematics from Monash (1994). During his time at Monash David has run an extension program for Primary School students, the Faculty Extension program for Secondary School students, worked with the teachers at John Monash Science School in developing several subjects, developed a unit which has become the basis of a new VCE unit, and was involved in the Thailand-Australia Science and Engineering Assistance Project (TASEAP) to improve the quality of undergraduate science and engineering in Thai universities. He has always been at the forefront of applying and developing better learning and teaching methods, most recently the introduction of Peer Instruction and the development of resources on Alexandria in the Faculty of Information Technology. In 2015 he was nominated by the Faculty to be the Faculty Foundation Fellow of the Monash Education Academy. David is an experienced Coordinator and manager of courses, and is currently the chair of Faculty Academic Progress Committee and Associate Dean Learning and teaching for the faculty.

Monash teaching commitment

Dr David Albrecht has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT1008 Introduction to computer science
  • FIT1029 Algorithmic problem solving
  • FIT1043 Introduction to data science
  • FIT1045 Introduction to algorithms and programming
  • FIT3144 Advanced computer science project
  • FIT4008 Reading unit
  • Minor Thesis, Masters Thesis and Honours Thesis units

David has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1008 Introduction to computer science
  • FIT1029 Algorithmic problem solving
  • FIT1040 Programming fundamentals
  • FIT1045 Introduction to algorithms and programming
  • FIT2032 Industry-based learning
  • FIT3045 Industry-based learning
  • FIT3144 Advanced computer science project
  • FIT4009 Advanced topics in intelligent systems

 

Keywords

  • Bayesian Networks
  • Spatial temporal statistics
  • Geostatistics
  • Machine Learning
  • Minimum Message Length Inference
  • Bayesian Inference
  • Support Vector Machines (SVM)

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2003 2013

Research Output 1989 2018

Effect of external fixation rod coupling in computed tomography

Peña-Solórzano, C. A., Dimmock, M. R., Albrecht, D. W., Paganin, D. M., Bassed, R. B., Klein, M. & Harris, P. C. 1 Jan 2018 (Accepted/In press) In : Strategies in Trauma and Limb Reconstruction. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Isolation-based anomaly detection using nearest-neighbor ensembles

Bandaragoda, T. R., Ting, K. M., Albrecht, D., Liu, F. T., Zhu, Y. & Wells, J. R. 2018 (Accepted/In press) In : Computational Intelligence. p. 1-31 31 p.

Research output: Contribution to journalArticleResearchpeer-review

Modeling failures in water mains using the minimum monthly antecedent precipitation index

Chik, L., Albrecht, D. & Kodikara, J. 1 Apr 2018 In : Journal of Water Resources Planning and Management. 144, 4, p. 1-6 6 p., 06018004

Research output: Contribution to journalArticleResearchpeer-review

Estimation of the short-term probability of failure in water mains

Chik, L., Albrecht, D. & Kodikara, J. 1 Feb 2017 In : Journal of Water Resources Planning and Management - ASCE. 143, 2, 10 p., 04016075

Research output: Contribution to journalArticleResearchpeer-review

Transformational approach for alignment-free image matching applications

Komal, K., Bhattacharjee, N., Albrecht, D. & Srinivasan, B. 4 Dec 2017 The 15th International Conference on Advances in Mobile Computing and Multimedia, December 04-06, 2017, Salzburg, Austria: MoMM 2017 Proceedings. Pardede, E., Haghighi, P. D., Salvadori, I. L., Steinbauer, M., Khalil, I. & Anderst-Kotsis, G. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 49-57 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Activities 2010 2016

  • 6 Committees and working groups
  • 2 Professional association or peak discipline body
  • 1 Submissions to industry or govt committees, commissions and inquiries

Secretary - Australasian Bayesian Network Modelling Society

Albrecht, D. W. (Member)
1 Jan 201631 Dec 2016

Activity: Professional association or peak discipline body

Fellow - Monash Education Academy - Monash University

Albrecht, D. W. (Fellow)
1 Jan 201631 Dec 2016

Activity: Professional association or peak discipline body

Chair - Academic Progress Committee - Faculty of Information Technology, Monash University

Albrecht, D. W. (Chair/ Co-Chair)
3 Mar 201530 Jun 2018

Activity: Committees and working groups

Member - Learning and Teaching Committee - Faculty of Information Technology, Monash University

Albrecht, D. W. (Member)
3 Mar 201530 Apr 2018

Activity: Committees and working groups

Deputy Chair - Monash Education Academy Executive - Monash University

Albrecht, D. W. (Chair/ Co-Chair)
3 Mar 20153 Mar 2018

Activity: Committees and working groups