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Personal profile

Research profile

Alessandro Di Bucchianico is an Associate Professor of Statistics in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is specialized in industrial statistics, statistical process control, reliability analyses, statistical computing, statistical software R and rare event simulation. 

Alessandro’s main research interests are Statistical Process Control  (SPC), (control charts for specific alternative hypotheses and foundations of SPC in view of big data challenges), Condition Based Maintenance (integration of SPC monitoring procedures with predictive maintenance and data pooling in view of big data challenges), Reliability Theory (correct inference for software reliability models and test plans for reliability testing) and the importance of sampling applications to semiconductor production problems. He is also highly active in the field of statistical education and statistical computing, especially use of R in industrial context and literate reporting.  

In particular, Alessandro likes to explore the relations between his research topics and address the challenges and opportunities offered by the Big Data revolution. In the teaching of his data analysis courses he tries to emphasize the use of teaching software (e.g. Statlab), reproducible research, and to link the scientific method with data analysis.

Academic background

Alessandro Di Bucchianico obtained his PhD in Mathematics from the University of Groningen and an MSc in Mathematics from the University of Amsterdam. He has held positions as TU/e External Collaboration officer, acquiring and managing research projects with external partners, both from industry and academia, as well as TU/e program manager for the strategic cooperation on data science with the Philips company.

As Knowledge Transfer Officer within the centre Mathematics for Industrial Innovation, he was responsible for maintaining and extending the contacts with external parties (companies, government). He has also been Deputy Head of LIME (Laboratory for Industrial Mathematics Eindhoven), the consultancy group within the Department of Mathematics of the Eindhoven University of Technology. He has also been Coordinator Applications of Statistics / Industrial Statistics program at European research institute EURANDOM.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Importance sampling Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Sampling Engineering & Materials Science
Static random access storage Engineering & Materials Science
Statistics Engineering & Materials Science
Electric grounding Engineering & Materials Science
Networks (circuits) Engineering & Materials Science
Software reliability Engineering & Materials Science

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

Research Output 1994 2019

Data-driven online monitoring of wind turbines

Kenbeek, T., Kapodistria, S. & Di Bucchianico, A., 12 Mar 2019, Proceedings of the 12th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2019. Association for Computing Machinery, Inc, p. 143-150 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Wind turbines
Monitoring
Statistical process control
Regression analysis
Sensors
2 Citations (Scopus)

Quantified insights into LED variability

Bornoff, R., Mérelle, T., Sari, J., Di Bucchianico, A. & Farkas, G., 27 Dec 2018, THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 6 p. 8593315

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Light emitting diodes
light emitting diodes
Heat resistance
thermal resistance
Lighting

Data-driven online monitoring of wind turbines

Kenbeek, T., Kapodistria, S. & Di Bucchianico, A., 2017, In : arXiv. 1702.05047

Research output: Contribution to journalArticleAcademic

Open Access
File
Wind turbines
Monitoring
Statistical process control
Sensors
1 Citation (Scopus)

Delphi4LED: LED measurements and variability analysis

Sari, J. K., Mérelle, T., Di Bucchianico, A. & Dan, B., 21 Dec 2017, THERMINIC 2017 - 23rd International Workshop on Thermal Investigations of ICs and Systems. Institute of Electrical and Electronics Engineers (IEEE), Vol. 2017-January, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Solid-state Lighting
Light emitting diodes
Manufacturing
Industry
Optical Measurement
Open Access
File
replacement
policy

Activities 2009 2016

  • 4 Workshop, seminar, course or exhibition
  • 4 Contributed talk
  • 1 Conference
  • 1 Editorial activity

DSSC Seminar: Developments in Monitoring Dynamic Data

Alessandro Di Bucchianico (Speaker)
5 Jul 2016

Activity: Talk or presentation typesContributed talkScientific

Computational Sciences for Future Energy 2016

Alessandro Di Bucchianico (Participant)
11 Oct 2016

Activity: Participating in or organising an event typesConferenceScientific

Maintenance Research Day 2016, February 4, 2016, Utrecht, The Netherlands

Alessandro Di Bucchianico (Participant)
4 Feb 2016

Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

NAP Studium Generale “Big Data, Big Opportunities!”

Alessandro Di Bucchianico (Participant)
10 Mar 2016

Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

Data Driven Operations Management

Alessandro Di Bucchianico (Participant)
24 Oct 201626 Oct 2016

Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

Courses

Data analytics for engineers

1/09/17 → …

Course

Data Science research methods

1/09/15 → …

Course

Linear statistical models

1/09/13 → …

Course

Mathematical statistics

1/09/14 → …

Course

Modeling with mathematics

1/09/13 → …

Course

Student theses

Advanced regression methods for energy signatures of buildings

Author: Xie, J., 19 Dec 2016

Supervisor: Di Bucchianico, A. (Supervisor 1), Elkhuizen, S. (Supervisor 2) & Keune, A. (External person) (External coach)

Student thesis: Master

File

A mixed effects model for analysis of experimental variation in cDNA microarrays

Author: Mackus, W., 31 Aug 2004

Supervisor: Di Bucchianico, A. (Supervisor 1) & van de Wiel, M. (Supervisor 2)

Student thesis: Master

File

Analyzing various estimation techniques for software reliability growth models

Author: Ruiter, K., 14 Aug 2018

Supervisor: Di Bucchianico, A. (Supervisor 1)

Student thesis: Bachelor

File

A statistical model to describe the spread of wafer lenses

Author: Figueroa Burbano, Y., 31 Aug 2011

Supervisor: Di Bucchianico, A. (Supervisor 1), Wolterink, E. M. (External person) (External coach) & van Loenen, B. (External person) (External coach)

Student thesis: Master

File

Change detection in system parameters of lithography machines

Author: van Stijn, M., 31 Aug 2018

Supervisor: Di Bucchianico, A. (Supervisor 1), Schepens, S. (External person) (External coach) & Troisi, L. (External person) (External coach)

Student thesis: Master

File