Dr Imtiaz Khan

​Reader in Data Science
Department of Computer Science

Telephone No: +44 (0) 29 2041 6453

Imtiaz is an interdisciplinary data scientists with an aim to increase the value and veracity of big data. With a background in computational biology, his research on data science is inspired by the complexity and heterogeneity of biological data. At present his research interests include: provenance, blockchain, data modelling, data interoperability, interactive data visualisation, virtualisation and machine learning.

He is a fervent advocate of research reproducibility and data integrity. He utilises his aforementioned skills to address the irreproducibility crisis of modern science. He also works with social scientists to understand the social impact of big data and artificial intelligence.   

Most importantly, he inspires next generation data scientists through his teaching at undergraduate and postgraduate levels.


  • Distributed Ledger Technology (Blockchain): Applying blockchain and smart contract technologies to establish public sector data integrity.
  • Provenance: Using provenance information to establish good practice and research reproducibility in biological laboratories as well as quantifying the value in supply chain.
  • Cancer stem cell research: Investigating the putative role of cancer stem cells on drug resistance.
  • Data communication: Developing non-narrative communication platforms to overcome the communication barriers of multidisciplinary research incorporating social theories.  
  • Virtualisation and visualisation: Developing virtual laboratory environment to design, document and communicate complex biological experiment in non-narrative format.
  • Visual analytics: Interactive visualisation of high dimensional image derived phenotypic data.
  • Data modelling and analysis: Developing data models, management systems and analysis approaches for image derived longitudinal phenotypic data.
  • Heterogeneous data interoperability: Building methods for heterogeneous phenotypic data interoperability suitable for mathematical modelling and machine learning.


Data Trust and Blockchain

Shahaab A, Maude R, Hewage C, Khan IA (2019) Managing Gender Change Information on Immutable Blockchain in Context of GDPR. JBBA, 3(1):1-8 

Shahaab A, Lidgey B, Hewage C, Khan IA (2019) Applicability and Appropriateness of Distributed Ledgers Consensus Protocols in Public and Private Sectors: A Systematic Review. IEEE Access, DOI: 10.1109/ACCESS.2019.2904181 

Khan IA, Fraser A, Bray M-A, Smith PJ, White NS, Carpenter AE and Errington RJ (2014) ProtocolNavigator: emulation based software for the design, documentation and reproduction biological experiments. Bioinformatics, 30(23):3440-2 

Data Communication 

Khan IA*, Neil S* and Errington RJ (2018) Analysing The Role of Virtualisation and Visualisation on Interdisciplinary Knowledge Exchange in Stem Cell Research Processes. Nature-Palgrave Communications, 4:78 

Data Visualisation 

Pretorius AJ, Khan IA and Errington RJ (2015) Cell lineage visualisation. Computer Graphics Forum, 34(3): 21-30 

Pretorius AJ, Khan IA and Errington RJ (2017) A survey of visualisation for live cell imaging. Computer Graphics Forum, 36(1): 46–63 

Data Modelling and Management 

Khan IA, Husemann P, Campbell L, White R, Smith PJ, Errington RJ (2007) ProgeniDB: A novel cell lineage database for generation associated phenotypic behavior in cell-based assays. Cell Cycle 6:7, 868-74 

Khan IA, Lupi M, Campbell L, Chappell SC, Brown MR, Wiltshire M, Smith PJ, Ubezio P, Errington RJ (2011) Interoperability of Time Series Cytometric Data: A Cross Platform Approach for Modeling Tumor Heterogeneity. Cytometry A, 79(3):214-26 

Khan IA, Fisher J, Smith PJ, Errington RJ. (2007) A Bioinformatics approach for the interrogation of molecular events in single cells: transforming fluorescent timelapse microscopy images into numbers. BMC Systems Biology 1(Suppl 1):P31 (Peer reviewed conference paper) 

Machine Learning & Mathematical Modelling 

Ricardo SM, Khan IA, Madden MG (2010) Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems. Int. J. Know. Disc. in Bioinformatics. 1:4. 26-53 

Khan IA, Hedley CJ, White NS, Ali R, Chappell MJ, Evans ND, Campbell L, Marquez N, Fisher J, Smith PJ, Errington RJ. (2006) A novel integrative bioinformatics environment for encoding and interrogating timelapse microscopy images. In: Feng, DD ed. Modelling and Control in Biomedical Systems, Reims, France. Amsterdam, ELSEVIER, pp 273-8 (Peer reviewed conference paper) 

Errington RJ, Brown MR, Silvestre OF, Njoh KL, Chappell SC, Khan IA, Rees P, Wilks SP, Smith PJ, Summers HD. (2010) Single cell nanoparticle tracking to model cell cycle dynamics and compartmental inheritance. Cell Cycle 5;9(1):121-30 

Brown MR, Summers HD, Rees P, Chappell SC, Silvestre OF, Khan IA, Smith PJ, Errington RJ (2010) Long-term time series analysis of quantum dot encoded cells by deconvolution of the auto-fluorescence signal. Cytometry A 77A: 10. 925–932 

Chappell MJ, Evans ND, Errington RJ, Khan IA, Campbell L, Ali R, Godfrey KR, Smith PJ. (2008) A coupled drug kinetics-cell cycle model to analyse the response of human cells to intervention by topotecan. Comput Methods Programs Biomed. 89(2):169-78 

Perez-Velazquez J, Evans ND, Chappell M, Errington RJ, Smith PJ, Khan IA. (2008) A Mathematical Model of Cyclin B1 Dynamics at the Single Cell Level in Osteosarcoma Cells. 17th IFAC World Congress, Seoul, Korea. 17:1 (Peer reviewed conference paper) 

Santiago-Mozos R, Khan IA, Michael G. Madden (2010) Is Topotecan Effective at Killing Cancer Cells? IEEE International Conference on Data Mining Workshops, Sydney, Australia, pp.732-739 (Peer reviewed conference paper) 

Drug Discovery & Cell Biology

Smith PJ, Khan IA, Errington RJ. (2009) Cytomics and cellular informatics – revealing the asymmetry properties of biological systems. Drug Discovery Today. 14(5-6): 271-7 

Smith PJ, Khan IA, Errington RJ. (2007) Cytomics And Drug Development. Cytometry A 71A:349–351. 

Smith PJ, Marquez M, Wiltshire M, Chappell S, Njoh K, Campbell L, Khan IA, Silvestre OR, Errington RJ. (2007) Mitotic Bypass Via An Occult Cell Cycle Phase Following DNA Topoisomerase II Inhibition In p53 Functional Human Tumour Cells. Cell Cycle 6:16, 2071-81 

Errington RJ, Chappell S.C, Khan IA, Marquez N, Wiltshire M, Griesdoorn, VD, Smith, PJ (2013) Time-lapse microscopy approaches to track cell cycle and lineage progression at the single-cell level. Curr Protoc Cytom 12: 12.4 

Genetic Data Analysis

Macgroger S & Khan IA (2006) GAIA: A Simple Web-Based Application for Interaction Analysis of Case-Control Data. BMC Medical Genetics 7:347 

Khan IA, Mort M, Buckland PR, Cooper DN, O'Donovan MC, Chuzhanova NA. (2006) In silico dis-crimination of single nucleotide polymorphisms and pathological mutations in human gene promoter regions by means of local DNA sequence context and regularity. In Silico Biology 6, 0003.


Research Associate

Sion Brown: Creating an integrated business management and intelligent system to optimise window cleaning operation (KTP with Window Cleaning Warehouse)

Ben Hayes: A Business Advisory Chatbot for Start-ups and Small businesses (Smart Partnership with Business Butler)

Liam Mcconnachie: Organisational Network Analysis (Smart Partnership with Satori Lab Ltd) 

Zergham Choudhary: Digital Supply Chain (KTP with DevOps Group) 


Ali Shahaab: Using Distributed Ledger Technologies to Guarantee the Integrity of the Company Register 

Sarah Brown: Visualisation of Hypertension: A Novel Communication Approach to Support Adherence to Medication 

Zainab Alkhalil: Intelligent Feature Analysis Based Phishing Detection and Prevention Scheme 

Sandra Smart-Akande: Geographical Crime Prediction Model Using Twitter Data 

Yaser Abu Awwad: Assessing Risks and Safeguarding Transactions in Cryptocurrency: A Novel Business Intelligence Approach 

Mohammed Maher: The design of shared economy model for health data usage in research and statistical purposes 


Yaser Abu Awwad: Visual Analysis of Hypertension 

Liam Mcconnachie: Organisational Network Analysis 

Peter Jones: A Proposed Method for the Discovery of Conserved Temporal Sequences of Features Prevalent in Music of a Given Mood 

Vinden John Wylde: Musical Plagiarism a Systematic Analysis of Music Information Retrieval Algorithms 

Taiba Nasser Al Hasni: Exploring the Impact of a Dashboard on Decision-making at Oman's Ministry of Tourism (MOT) - A Business Intelligence Approach 

Bhavana Harsha: Data Encoding and Exchange in the Interdisciplinary EPSRC Stem Cell Consortium 

Emma Evans: Database for hierarchically organised data 

Hannah Jones: Design and Development of the Phenotypic Data Model (PDM) 

Peter Husemann: Cell Lineage Database

Beate Glaser: Automated online screening algorithm for disease-associated haplotypes in association samples 

Rhianon Romaniw: Using circos plots to visualise the genomes of S. Cerevisiae 

Erin Dooley: Analysing Icons in ProtocolNavigator 


Kamrul Haque: Reviewing the impact of different programming languages on programmers 

Khalid Francis: Evaluating the Impact of Augmented Reality on Learning from Books 

Ranbir Singh: Challenges & Opportunities In Migrating To Paperless Environment 

Morgan Harris: The Enhancement of Expert Systems and Artificial Intelligence in Healthcare 

Sanrujan Mathybalan: Impact of mobile application on lifestyle of type two diabetes patient 

Calum Hurn: Use of Iris Recognition for Systems Security and Access? 

Koundinya Sarma Lanka: The Past, Present and the Future of Biometrics in Smartphone Security 

Ali Alghamdi: E-commerce Solution in Saudi Arabia, Case Study: Online Marriage Hall Booking 

Mohammed Hassan: Computational approach to understand Smell and Taste 

Lewis Redfern: What impact have IT Systems made on business procedures and sales and has it been beneficial to a large or a small business? 

Mahdi Mashrafi: How can graphic designers benefit from Social Media Marketing 

Aung Myo Thet: The analysis of the improvement of financial department in water factories in in Myanmar 

Stephen Quinn: Whether an open plan accessible I.T department is preferred by the I.T staff and employees 

Zak Halabi: The use of Artificial Intelligence in Education to monitor areas of improvement