Dr Philip Weber PhD MSc (Distinction) BSc (Hons)

Philip Weber

School of Computer Science
Research Fellow

Contact details

Address
School of Computer Science, Room 105
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

From 29 May 2018 Phil Weber will be employed on the ESIF System Analytics for Innovation project at Aston University.

Phil Weber worked as a research fellow on the "Automated Conflict Resolution in Clinical Pathways" project in the School of Computer Science.  Previously he worked on Automatic Speech Recognition in the School of Electronic, Electrical and Systems Engineering, on the SRbS (Speech Recognition by Synthesis) project.  He obtained his Ph.D. in Business Process Mining (Computer Science), under the supervision of Dr. Behzad Bordbar and Dr. Peter Tiňo in the School of Computer Science.  Earlier in his career Phil worked in IT in various fields, mainly as a UNIX and storage systems administrator, systems engineer, systems integrator and analyst programmer.

More information on Phil's Ph.D. project can be found here.

Qualifications

Qualifications
2014 Ph.D. Computer Science, University of Birmingham.
2009 Distinction, M.Sc. Advanced Computer Science, University of Birmingham.
Award for best student in M.Sc. Advanced Computer Science, 2008-2009. 
1994 1st class honours, B.Sc. Computer Science with Diploma in Industrial Studies, Loughborough University of Technology.
   

Biography

Phil Weber obtained his Ph.D. in Computer Science from the School of Computer Science at The University of Birmingham in July 2014.  His thesis was entitled "A Framework for the Analysis and Comparison of Process Mining algorithms".  From 2008-2009 Phil studied for the MSc Advanced Computer Science,  and graduated in December 2009 with distinction and award for best student.  Before that he worked in industry for a number of years following his B.Sc Computer Science at Loughborough University of Technology.

During that gap Phil worked for ICL (now Fujitsu), Dixons Stores Group and the Egg bank on systems integration, consultancy, design, development and implementation, data migration, and latterly UNIX and storage systems administration (specialising in backups and data transfers).  He is a Member of the IEEE and formerly a Member (MBCS) of the British Computer Society (BCS)and a Chartered IT Professional (CITP).

Phil is married with three children, and enjoys cycling, running (cross-country and fell-running when time permits), orienteering (lapsed KIMM-er and OMM-er) and mountainbiking (one Polaris Challenge, would like to do more).  He also enjoys reading, drawing and painting, and is an leader in his local church.

Postgraduate supervision

Phil assists with supervision of Ph.D. students in the speech group (Linxue Bai, Chloe Seivwright, Xizi Wei and Luciano Juarez Rivera).

Research

Phil is loosely interested in all aspects of the "data->information->knowledge->'wisdom' lifecycle", information extraction, storage and retrieval.

In practice this means machine learning and data mining.  In particular, his interests now lie in rather than answering specific questions from data, more in building models of the underlying phenomena that gave rise to the data.  Machine learning is partly about this - using the data as evidence to draw conclusions about the "real world" and build useful models of it.  With respect to speech recognition, arguably a deeper understanding of the physical processes that generate speech is vital for designing better algorithms for automatic speech recognition from the available evidence such as audio signals.

Phil's Ph.D. was focussed on Process Mining.  Specifically, developing a probabilistic framework for the analysis and comparison of process mining algorithms. How do different algorithms learn? How much data should be used?  What does "noise" mean in this context and how should algorithms handle it?   What happens when the process evolves over time? How can the process model be made more general or easier to understand, in a principled manner?  The framework developed by Phil and his supervisors Dr. Behzad Bordbar and Dr. Peter Tiňo could provide the basis for objectively answering some of these questions.

Publications

Recent publications

Article

Litchfield, I, Turner, A, PALMER, R, Ferreira Filho, JB & Weber, P 2018, 'Automated conflict resolution between multiple clinical pathways: A technology report', Journal of innovation in health informatics, vol. 25, no. 3, pp. 142-148. https://doi.org/10.14236/jhi.v25i3.986

Weber, P, Ferreira Filho, JB, Bordbar, B, Lee, M, Litchfield, I & Backman, R 2018, 'Automated Conflict Detection Between Medical Care Pathways', Journal of software: Evolution and Process, vol. 30, no. 7, e1898. https://doi.org/10.1002/smr.1898

Backman, R, Weber, P, Turner, A, Lee, M & Litchfield, I 2017, 'Assessing the extent of drug interactions among patients with multimorbidity in primary and secondary care in the West Midlands (UK): a study protocol for the Mixed Methods Multimorbidity Study (MiMMS)', British Medical Journal Open, vol. 7, e016713. https://doi.org/10.1136/bmjopen-2017-016713

Conference contribution

Bai, L, Weber, P, Jancovic, P & Russell, M 2018, Exploring how phone classification neural networks learn phonetic information by visualising and interpreting bottleneck features. in Proceedings of Interspeech 2018. Interspeech, vol. 2018, ISCA, Hyderabad, India, pp. 1472-1476, Interspeech 2018, Hyderabad , India, 2/09/18. https://doi.org/10.21437/Interspeech.2018-2462

Weber, P, Backman, R, Litchfield, I & Lee, M 2018, A process mining and text analysis approach to analyse the extent of polypharmacy in medical prescribing. in The Sixth IEEE International Conference on Healthcare Informatics (ICHI 2018). IEEE Xplore, The Sixth IEEE International Conference on Healthcare Informatics , New York City, United States, 4/06/18. https://doi.org/10.1109/ICHI.2018.00008

Bai, L, Jancovic, P, Russell, M, Weber, P & Houghton, S 2017, Phone classification using a non-linear manifold with broad phone class dependent DNNs. in Proceedings of Interspeech 2017. Interspeech 2017, Stockholm, Sweden, 20/08/17. https://doi.org/10.21437/Interspeech.2017-1179

Weber, P, Bai, L, Russell, M, Jancovic, P & Houghton, S 2016, Interpretation of low dimensional neural network bottleneck features in terms of human perception and production. in Proceedings of Interspeech. ISCA, Interspeech 2016, San Francisco, United States, 8/09/16. https://doi.org/10.21437/Interspeech.2016-124

Weber, P, Bai, L, Houghton, S, Jancovic, P & Russell, M 2016, Progress on Phoneme Recognition with a Continuous-State HMM. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. IEEE Xplore, IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/ICASSP.2016.7472799

Najafian, M, Safavi, S, Weber, P & Russell, M 2016, Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems. in Odyssey Speaker and Language Recognition Workshop. IEEE Press / Wiley.

Bai, L, Jancovic, P, Russell, M & Weber, P 2015, Analysis of a Low-Dimensional Bottleneck Neural Network Representation of Speech for Modelling Speech Dynamics. in Proceedings of Interspeech. ISCA, pp. 583-587, Interspeech, 2015, Dresden, Germany, 6/09/15.

Weber, P, Bai, L, Houghton, S, Jancovic, P & Russell, M 2015, Consonant Recognition with Continuous-Sate Hidden Markov Models and Perceptually-Motivated Features. in Proceedings of Interspeech. ISCA, pp. 1893-1897, Interspeech, 2015, Dresden, Germany, 6/09/15.

Houghton, S, Champion, C & Weber, P 2015, Recognition of Voiced Sounds with a Continuous State HMM. in Proceedings of Interspeech. Interspeech, ISCA, pp. 523-527, Interspeech, 2015, Dresden, Germany, 6/09/15.

Paper

Weber, P, Ferreira Filho, JB, Bordbar, B, Lee, M, Litchfield, I & Backman, R 2017, 'Automated Conflict Detection Between Medical Care Pathways' Paper presented at International Conference on Software and Systems Processes, Paris, France, 5/07/17 - 7/07/17, .

Bai, L, Jancovic, P, Russell, M & Weber, P 2015, 'Analysis of a Low-Dimensional Bottleneck Neural Network Representation of Speech for Modelling Speech Dynamics' Paper presented at Interspeech, 2015, Dresden, Germany, 6/09/15, .

Weber, P, Champion, C, Houghton, S, Jancovic, P & Russell, M 2015, 'Consonant Recognition with Continuous-State Hidden Markov Models and Perceptually-Motivated Features' Paper presented at Interspeech, 2015, Dresden, Germany, 6/09/15, .

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