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David McLean

【来源: | 发布日期:2021-06-16 】

·Email addressd.mclean@mmu.ac.uk

Who am I?

Who am I?

Academic Interests : Artificial Intelligence (see google scholar) and Programming

Leisure : Keen on most outdoor sports particularly mountain biking and paragliding (member British Hanggliding and Paragliding Association for 20 years, former Hanggliding Instructor (trainee) and Hangglding club coach).

Words of wisdom

Do something that challenges (even frightens you) on a regular basis

Learn and parctice programming regularly - now part of the UK national curriculum from primary up - seewww.processing.orgto get started

Academic Biography

Academic and professional qualifications

BSc Computing from University of Leeds

PhD Artificial Neural Networks "Generalisation in Continuous Data Domains"

PGCE

Fellow HE

Other academic service (administration and management)

Digital Technology Solutions MSc Apprenticeship Programme Leader

Languages

C#, Java etc, Prolog

Teaching & Research Supervision

Why study ?

Undergraduate courses

Programming (using Java, Processing), Algorithms & Data Structures (C#)

Postgraduate teaching

Data Management & Machine Learning (Weka, Matlab)

Postgraduate supervision (completed/in progress)

8 PhD completions

External examiner roles

Sheffield Hallam University

Research Expertise, Publications & Grants

Research expertise

Artificial Intelligence,Machine Learning, Data Mining, Conversational Agents, Artificial Neural Networks, Expert Systems, Programming and Data Structures

Academic collaborations

Knowldge Transfer Partnership - recent approval, using machine learning on questionnaire data

Publications

·Journal articles

D. Chandran, K. Crockett, D. Mclean (2014).On the creation of a fuzzy dataset for the evaluation of fuzzy semantic similarity measures.2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).pp.752-759.

M. Hijjawi, Z. Bandar, K. Crockett, D. Mclean (2014).ArabChat: An Arabic Conversational Agent.2014 6th International Conference on Computer Science and Information Technology (CSIT).pp.227-237.

A. Latham, K. Crockett, D. McLean (2014).An adaptation algorithm for an intelligent natural language tutoring system.Computers and Education.71, pp.97-110.

D. Chandran, K. Crockett, D. Mclean, Z. Bandar (2013). FAST: A fuzzy semantic sentence similarity measure.IEEE International Conference on Fuzzy Systems.

D. McLean, V. Rybakov (2013). Multi-agent temporary logic TS4KnUbased at non-linear time and imitating uncertainty via agents' interaction.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).7895 LNAI(PART 2), pp.375-384.

A. Latham, KA. Crockett, D. McLean, B. Edmonds (2012).A conversational intelligent tutoring system to automatically predict learning styles.Comput. Educ..59, pp.95-109.

D. Dancey, ZA. Bandar, D. McLean (2010). Rule extraction from neural networks for medical domains.Proceedings of the International Joint Conference on Neural Networks.

J. O'Shea, Z. Bandar, KA. Crockett, D. McLean (2010). Benchmarking short text semantic similarity.Int. J. Intell. Inf. Database Syst..4, pp.103-120.

D. Dancey, ZA. Bandar, D. McLean (2007).Logistic model tree extraction from artificial neural networks.IEEE Trans Syst Man Cybern B Cybern.37(4), pp.794-802.

J. Rothwell, Z. Bandar, J. O'Shea, D. McLean (2007). Charting the behavioural state of a person using a backpropagation neural network.Neural Computing and Applications.16(4-5), pp.327-339.

J. Rothwell, Z. Bandar, J. O'Shea, D. McLean (2006). Silent talker: A new computer-based system for the analysis of facial cues to deception.Applied Cognitive Psychology.20(6), pp.757-777.

D. Wedge, D. Ingram, D. McLean, C. Mingham, Z. Bandar (2006).On global-local artificial neural networks for function approximation.IEEE Trans Neural Netw.17(4), pp.942-952.

KA. Crockett, Z. Bandar, D. McLean, J. O'Shea (2006).On constructing a fuzzy inference framework using crisp decision trees.Fuzzy Sets Syst..157, pp.2809-2832.

Y. Li, D. McLean, Z. Bandar, J. O'Shea, KA. Crockett (2006).Sentence Similarity Based on Semantic Nets and Corpus Statistics.IEEE Trans. Knowl. Data Eng..18, pp.1138-1150.

DC. Wedge, DM. Ingram, CG. Mingham, DA. McLean, ZA. Bandar (2005).Neural network architectures and overtopping predictions.Proceedings of the Institution of Civil Engineers: Maritime Engineering.158(3), pp.123-133.

D. Dancey, D. McLean, Z. Bandar (2004).Decision tree extraction from trained neural networks.Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004.2, pp.515-519.

Y. Li, Z. Bandar, D. McLean, J. O'Shea (2004). A method for measuring sentence similarity and its application to conversational agents.Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2004.2, pp.820-825.

Y. Li, ZA. Bandar, D. McLean (2003).An approach for measuring semantic similarity between words using multiple information sources.IEEE Transactions on Knowledge and Data Engineering.15(4), pp.871-882.

D. McLean, Z. Bandar, JD. O'Shea (1998).An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data.Neural Netw.11(9), pp.1685-1694.

·Chapters in books

A. Latham, K. Crockett, D. McLean, B. Edmonds (2012).Adaptive tutoring in an intelligent conversational agent system.pp.148-167.

DA. McLean (2011). Advances in Web-Based Learning - ICWL 2010. X. Luo, M. Spaniol, L. Wang, Q. Li, W. Nejdl, W. Zhang. In:Advances in Web-Based Learning - ICWL 2010. Springer-Verlag New York Incorporated,

A. Latham, KA. Crockett, D. McLean, B. Edmonds (2011).Oscar: An Intelligent Adaptive Conversational Agent Tutoring System.J. O'Shea, NT. Nguyen, KA. Crockett, RJ. Howlett, LC. Jain. In:Agent and Multi-Agent Systems: Technologies and Applications - 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 - July 1, 2011. Proceedings. Springer, pp.563-572.

·Conferences

NN. Alnajran, KA. Crockett, D. McLean, A. Latham (2018). A Word Embedding Model Learned from Political Tweets. In:2018 13th International Conference on Computer Engineering and Systems (ICCES). 18/12/2018. pp.177-183.

N. Alnajran, K. Crockett, D. McLean, A. Latham (2018).An Empirical Performance Evaluation of Semantic-Based Similarity Measures in Microblogging Social Media.In:2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT). Zurich, 17/12/2018. pp.126-135.

N. Alnajran, K. Crockett, D. McLean, A. Latham (2018).A Heuristic Based Pre-processing Methodology for Short Text Similarity Measures in Microblogs.In:2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). Exeter, UK, 28/6/2018. pp.1627-1633.

N. Alnajran, K. Crockett, D. McLean, A. Latham (2017).Cluster Analysis of Twitter Data: A Review of Algorithms.In:Proceedings of the 9th International Conference on Agents and Artificial Intelligence. Porto, PORTUGAL, 24/2/2017. pp.239-249.

N. Alnajran, K. Crockett, D. McLean, A. Latham (2017). Cluster analysis of twitter data: A review of algorithms. In:ICAART 2017 - Proceedings of the 9th International Conference on Agents and Artificial Intelligence. pp.239-249.

D. Chandran, KA. Crockett, D. Mclean, A. Crispin (2015).An automatic corpus based method for a building Multiple Fuzzy Word Dataset.In:2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Istanbul Turkey, 2/8/2015. pp.1-8.

K. Crockett, A. Latham, D. Mclean, J. O'Shea (2013). A fuzzy model for predicting learning styles using behavioral cues in an conversational intelligent tutoring system. In:IEEE International Conference on Fuzzy Systems.

A. Latham, K. Crockett, D. Mclean (2013).Profiling Student Learning Styles with Multilayer Perceptron Neural Networks.In:2013 IEEE International Conference on Systems, Man, and Cybernetics. Manchester, ENGLAND, 13/10/2013. pp.2510-2515.

DM. Pearce, Z. Bandar, D. McLean (2011). Using Properties to Compare Both Words and Clauses. In:KES-AMSTA. pp.534-543.

M. Hijjawi, Z. Bandar, KA. Crockett, D. McLean (2011). An Application of Pattern Matching Stemmer in Arabic Dialogue System. In:KES-AMSTA. pp.35-43.

KA. Crockett, A. Latham, D. McLean, Z. Bandar, J. O'Shea (2011).On predicting learning styles in conversational intelligent tutoring systems using fuzzy classification trees.In:FUZZ-IEEE. pp.2481-2488.

KA. Crockett, Z. Bandar, J. O'Shea, D. McLean (2010). Goal Orientated Conversational Agents - The rocky road to commercialization. In:FUZZ-IEEE. pp.1-8.

A. Latham, KA. Crockett, D. McLean, B. Edmonds (2010).Predicting Learning Styles in a Conversational Intelligent Tutoring System.In:ICWL. pp.131-140.

D. McLean, Z. Bandar, J. O'Shea, KA. Crockett (2010). Commercialisation of an artificially intelligent deception detection system in the current security climate. In:FUZZ-IEEE. pp.1-6.

A. Latham, KA. Crockett, D. McLean, B. Edmonds, K. O'Shea (2010). Oscar: An intelligent conversational agent tutor to estimate learning styles. In:FUZZ-IEEE. pp.1-8.

K. Crockett, Z. Bandar, J. O'Shea, D. McLean (2009). Bullying and debt: Developing novel applications of dialogue systems. In:Proceedings of the 6th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems. Pasadena, 14/7/2009. pp.1-9.

J. O'Shea, Z. Bandar, KA. Crockett, D. McLean (2008). A Comparative Study of Two Short Text Semantic Similarity Measures. In:KES-AMSTA. pp.172-181.

KA. Crockett, Z. Bandar, D. McLean (2007). On the Optimization of T-norm parameters within Fuzzy Decision Trees. In:FUZZ-IEEE. pp.1-6.

D. Wedge, DM. Ingram, D. McLean, CG. Mingham, Z. Bandar (2005).A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction.In:ICANN (2). pp.109-114.

KA. Crockett, Z. Bandar, D. McLean (2004). Strategies For Fuzzy Inference within Classifier Systems. In:FLAIRS Conference. pp.387-392.

YH. Li, Z. Bandar, D. Mclean (2002).Measuring semantic similarity between words using lexical knowledge and neural networks.In:INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2002. MANCHESTER, ENGLAND, 12/8/2002. pp.111-116.

K. Crockett, Z. Bandar, D. Mclean (2002).Combining multiple decision trees using fuzzy-neural inference.In:PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2. HONOLULU, HI, 12/5/2002. pp.1523-1527.

KA. Crockett, Z. Bandar, D. McLean (2001). Growing a Fuzzy Decision Forest. In:FUZZ-IEEE. pp.614-617.

Z. Bandar, JD. O'Shea, D. McLean (1999). An optimised decision tree induction algorithm for real world data domains. In:ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378). Perth, WA, 16/11/1999. pp.441-446.

D. McLean, Z. Bandar, JD. O'Shea (1999). Decision boundary modelling-a constructive algorithm for high precision real world data models. In:IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339). Washington, DC, 10/7/1999. pp.3114-3118.

D. McLean, Z. Bandar (1999).Comparative testing of hyper-planar classifiers on continuous data domains.In:ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS. PORTOROZ, SLOVENIA, 6/4/1999. pp.16-21.

D. McLean, Z. Bandar, J. O'Shea (1999).Improving generalisation using modular neural networks.In:ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS. PORTOROZ, SLOVENIA, 6/4/1999. pp.35-39.

D. McLean, Z. Bandar, J. O'Shea (1994). Improved interpolation and extrapolation from continuous training examples using a new neuronal model with an adaptive steepness. In:Australian and New Zealand Conference on Intelligent Information Systems - Proceedings. 29/11/1994. pp.125-129.

Expert reviewer for journals and publishers

IEEE and various others

Grants

PaCE - Horizon 2020 (contributor), clustering on twitter data and modelling Populist narrative content.

Awards, Honours & Distinctions

Other distinctions

Collaborated with Prof. Donald Michie (AI field),

Submitted in 2 Research Assessment Exercises,

previous involvement in 2 Spin-off Companies,

Patent "Analysis of the Behaviour of a Subject"- psychological profiling using neural networks

Manchester Met full-time employee and will teach at Manchester Metropolitan Joint Institute, Hubei University.

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