Personal profile
Contact Details
Biography
I am a lecturer in computer science and member of the Aston Centre for Artificial Intelligence Research and Applications (ACAIRA), and Aston Institute for Forensic Linguistics (AIFL), specifically the Forensic Data Science Laboratory (FDSL). My current research is in forensic voice comparison (which uses state of the art tools developed for automatic speaker recognition). I am also interested in Automatic Speech Recognition (ASR), particularly in low resource settings, and Business Process Mining. I worked in the speech group at the University of Birmingham on the former, developing parsimonious models for ASR inspired by human speech perception and production. My PhD was in the latter, with applications in business and healthcare. My general interests revolve around machine learning, data analytics and AI, with a specific focus on how to use data (effectively and efficiently) and how to be confident in results. My journey at Aston started as a member of the highly-regarded Think Beyond Data (ERDF System Analytics for Innovation) project providing free consultancy in artificial intelligence, data analytics and machine learning to SMEs in the Greater Birmingham, Black Country and Marches areas. Before academia I spent time in industry on systems integration, data analytics, systems administration and data management.
Research Interests
Forensic data science, forensic speech science, automatic speech recognition (ASR), automatic speaker recognition, machine learning, artificial Intelligence (AI), Business process mining, Speech Science.
Employment
Following a 1st class (hons) batchelor's degree in Computer Science from Loughborough University, I worked in several industries as an analyst programmer, systems integrator, Unix and storage systems administrator and technologist before returning to academia at the University of Birmingham in 2008 to gain an MSc (distinction) in Advanced Computer Science and a PhD for my thesis "A framework for the analysis and comparison of Process Mining algorithms" (2014). I have since held several research fellowships, in Automatic Speech Recognition, Automated conflict resolution in clinical processes (Birmingham), ERDF-funded AI and data analytics consultancy to SMEs (Think Beyond Data, Aston), and forensic speech science. I now work as a lecturer and researcher in AI and forensic data science.
Teaching Activity
Current
CS2IS and CS4520 Information Security
CS32DF Digital Forensics
CS4700, CS4705 (MSc) & CS3IP (BSc) Project supervision
DC4000 Professional Practice (DTS)
DC4400 Individual Project (DTS)
APEC MSc Professional Engineering (supervision)
Past
LEM104 Forensic Inference and Statistics
DC4200 Data Analytics (DTS)
CS4720 AI Vision and Reality
Education/Academic qualification
PhD, A framework for the analysis and comparison of Process Mining algorithms, University of Birmingham
1 Sept 2009 → 1 Jun 2014
Award Date: 1 Jun 2014
MSc, Advanced Computer Science, University of Birmingham
1 Sept 2008 → 1 Sept 2009
Award Date: 1 Jun 2009
BSc, Computer Science, Loughborough University
Sept 1990 → Jul 1994
Award Date: 1 Jul 1994
Keywords
- QA75 Electronic computers. Computer science
- Artificial Intelligence
- Forensic data science
- Business process mining
- Automatic speech recognition
- Automatic speaker recognition
- Forensic voice comparison
- Forensic linguistics
- Machine learning
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Collaborations and top research areas from the last five years
Research output
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Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools
Weber, P., Enzinger, E., Labrador, B., Lozano-díez, A., Ramos, D., González-rodríguez, J. & Morrison, G. S., 7 Mar 2022, In: Forensic Science International: Synergy. 4, 100223.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Link opens in a new tab Citations (SciVal)21 Downloads (Pure) -
Trends of digitalization and adoption of big data analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs
Mohamed, M. & Weber, P., 16 Sept 2020, Proceedings - 2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020. IEEE, 9198545. (Proceedings - 2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020).Research output: Chapter in Book/Published conference output › Conference publication
16 Link opens in a new tab Citations (Scopus) -
Automated conflict resolution for patients with multiple morbidity being treated using more than one set of single condition clinical guidance: A case study
Litchfield, I., Turner, A. M., Ferreira Filho, J. B., Lee, M. & Weber, P., 1 May 2022, In: Computers in Biology and Medicine. 144, 105381.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (SciVal)21 Downloads (Pure) -
(Semi-)automating appraisal annotation: Using corpus and computational methods to develop a scalable approach to stance analysis in deviant online communities
Hunter, M., MacLeod, N., Morton, R. & Weber, P., 2025, (Unpublished).Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review
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A response to EA-4/23 INF:2025 “The Assessment and Accreditation of Opinions and Interpretations using ISO/IEC 17025:2017”
Morrison, G. S., Biedermann, A., Tart, M., Meuwly, D., Berger , C. E. H., Guiness, J., Houck, M. M., Gibb, C., Dawid, A. P., Kotsoglou, K. N., Kaye, D. H., Rose, P., Taroni, F., Kokshoorn, B., Saks, M. J., Buckleton, J. S., Curran, J. M., Taylor, D., Zhang, C. & Vuille, J. & 37 others, , Nov 2025, In: Forensic Science International. 376, 20 p., 112589.Research output: Contribution to journal › Letter, comment/opinion or interview
3 Link opens in a new tab Citations (SciVal)