Ambikesh holds an undergraduate degree in science (Mathematics, Physics and Chemistry), Masters in Computer Science and PhD in Computer Science. He is a Senior Lecturer in Computing and a Fellow of the UK Higher Education Academy. Ambikesh has previously worked in industry, as software developer, including in Capability Maturity Model (CMM) Level 5 certified companies.
During 2014 he has been nominated for Inspiring Lecturer by University of Gloucestershire Students Union for Student Led Teaching Awards (voted by students).
Whilst my disciplinary background is in computer science and natural science, my research interests are interdisciplinary and lie in the intersection between data science and healthcare. I apply computer and data science to extract significant information from genome sequences and biomedical signals, such as heart waves or brainwaves, to improve healthcare. Through computer and data science, I am researching ways to develop more accurate diagnostic tests and therapies that have higher chances of success in curing cancer and treating bacterial infections and other diseases. At the moment I am analysing NGS genomics data for Microbial genome (Pseudomonas aeruginosa Bacteria) and Cancer genomics. I am also applying Digital Signal Processing to analyse arterial pulse volume waveforms (PVW) in diabetics patients.
Next-Gen Sequencing (NGS) genomic data anaysis, Bio Informatics, Computer Science, Software Engineering, Information Engineering, Cancer Informatics, Sports Informatics, Health Informatics, Information Technology and Information Security, Digital Signal Processing and Embedded systems, Predictive Modelling, Machine Learning, Statistical Techniques, Physical computing using microcontrollers and sensors
a) Associate Member of UK Higher Education Academy since 2007
b) Fellow of UK Higher Education Academy (FHEA) since 2012
c) 2012 Postgraduate Certificate in Higher Education, University of Gloucestershire, United Kingdom
d) Professional Member (MBCS) of British Computer Society (BCS)
Awards and Scholarships (5 awards, 1 scholarship):
a) Nominated by students for Student Led Teaching Fellowship, Cardiff Metropolitan University, 2017
b) Nominated for Inspiring Lecturer by University of Gloucestershire Students’ Union for Student Led Teaching Awards (voted by students), 2014
c) Full Bursary for PhD (Computer Science) by Brunel University, UK, 2005
d) Won the runner-up prize for the website development as part of the “West Focus Support for local businesses” Brunel University, UK. 2006
e) Received special Appreciation award from the GE Capital, USA for outstanding work. The award was won while working at Birlasoft Limited, India which is a Global Development Centre of GE USA. 2003
f) Received special Appreciation from HCL Perot System, India for the outstanding work. The HCL Perot is a joint venture between HCL India and Perot System USA. 2002
Professional Practices (Professional Workshops):
a) Attended two day workshop on using Artificial Intelligence for medicine arranged by NHS and International Business Machines Corporation (IBM) in Jan 2019.
b) Completed the online course "Genomic Data Science with Galaxy" from Johns Hopkins University, USA through Coursera online learning platform 2018
c) Attended four day Summer School 2018 in Brain Disorders Genomics research at the MRC Centre for Neuropsychiatric Genetics and Genomics at Cardiff University
d) Completed Cancer Genomics course run by European Bioinformatics Institute (EMBL-EBI) Cambridge in 2016
e) Attended three days workshop on Oxford Nanopore MinION Genomics in Exeter University, 2016
g) ARM Cortex Microcontroller Workshop conducted by Hitex UK Ltd based in University of Warwick Science Park, 11 June 2014
h) HEA Workshop: "Rethinking The First Year Computing Curriculum" at Cardiff Metropolitan University in May 2013.
i) 2013 Attended Certified Ethical Hacker v7.1 Online Training conducted by Career Academy USA
j) Genomics spring workshop at the Wellcome Trust Centre for Human Genetics, University of Oxford. 29th March 2012
k) Robotics Workshop organised by Higher Education Academy in University of Derby, 28 Oct 2011
l) 'Mobile Technologies - The Challenge of Learner Devices Delivering Computer Science' organised by UK Higher Education Academy in Birmingham City University on 12th May 2011
m) Programming Workshop organised by organised by UK Higher Education Academy in Brighton University on 30th March 2010
o) Mobile technologies workshop at Birmingham City University, 2011
p) Robotics workshop at Derby University
 Jayal, A., McRobert, A., Oatley, G. and O'Donoghue, P., 2018. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Routledge. Available at:
 Hewage, C.,
Jayal, A., Jenkins, G., Ryan, B. 2018 A Learned Polyalphabetic Decryption Cipher, SNE Simulation Notes Europe , 28(4), pp. 141-148. doi:
http://doi.org/10.11128/sne.28.tn.10441 Available at:
Jayal A, Johns BE, Purdy KJ, Maddocks SE. 2017. Draft genome sequence of Pseudomonas aeruginosa ATCC 9027, originally isolated from an outer ear infection. Genome Announc 5:e01397-17. Available at:
Jayal, A., Lauria, S., Tucker, A. and Swift, S., 2011. Python for teaching introductory programming: A quantitative evaluation. Innovation in Teaching and Learning in Information and Computer Sciences (ITALICS), Electronic journal of the UK Higher Education Academy, 10(1), pp.86-90. doi:
https://doi.org/10.11120/ital.2011.10010086 Available at Link:
 Jayal, A. (2010). Framework To Manage Labels For E-Assessment Of Diagrams. Ph.D. Thesis. Brunel University: U.K. Available at:
Jayal, A. and Shepperd, M. (2009) The Problem of Labels in E-Assessment of Diagrams. ACM Journal on Educational Resources in Computing. 8(4) pp 1-1 Available at:
 Jayal, A. and Shepperd, M., 2009. An improved method for label matching in e-assessment of diagrams. Innovation in Teaching and Learning in Information and Computer Sciences (ITALICS), journal of the UK Higher Education Academy, 8(1), pp.3-16. doi:
https://doi.org/10.11120/ital.2009.08010003 Available at:
 Venkatachalam G, Brady M, Chivers F,
Jayal A, Karuvattil R, Das KB (2015). Persistent epileptic spasms and tonic seizures in older children and young adults with drug resistant epilepsy: are there any biological differences. Epilepsia. 2015 Nov; 56 (Suppl. 1): 251-252. doi: 10.1111/epi.13241. Available at:
 Uppal, S.,
Jayal, A. and Arora, A. (2019) 'Pairwise Reviews Ranking and Classification for Medicine E-Commerce Application', 2019 Twelfth International Conference on Contemporary Computing (IC3), Noida, India, 8-10 August. DOI: 10.1109/IC3.2019.8844887. Available at
 Ryan J. Brown , Chaminda Hewage,
Ambikesh Jayal, 2018. Breaking and Entering Evaluation of the Use of Machine Learning for Code Breaking, Advances in Management and Informatics Conference, 04 May 2018, Cardiff Metropolitan University
 Benjamin E. Johns,
Ambikesh Jayal, Aiste Dijokaite, Nick P. Tucker3, Kevin J. Purdy, Sarah E. Maddocks. 2017. Small colony variants: Size isn’t everything. [Poster]. Microbiology Society Annual Conference, 03 - 06 April 2017, Edinburgh International Conference Centre (EICC), Edinburgh, UK.
 Shepperd, M.J. and
Jayal, A. (2010) Experiences of Introducing Group Projects to Computing Degrees. 35th International Conference on Improving University Teaching (IUT), Washington D.C., USA, June 30, 2010. Available at:
Research data sets and databases outputs:
Jayal A, 2017, Pseudomonas aeruginosa strain ATCC 9027, whole genome shotgun sequencing project, Electronic dataset, National Center for Biotechnology Information NCBI Nucleotide database, viewed 23 Feb 2019 Available at:
 2017, Pseudomonas aeruginosa strain ATCC 9027, whole genome shotgun sequencing project, Electronic dataset, National Center for Biotechnology Information NCBI Nucleotide database, viewed 23 Feb 2019 Available at:
 2017, Genomic DNA of Pseudomonas Aeruginosa_ATCC_9027: skin pathogen, Electronic dataset, National Center for Biotechnology Information NCBI Sequence Read Archive (SRA), viewed 23 Feb 2019 Available at:
 2017, Trimmed Genomic DNA of Pseudomonas Aeruginosa_ATCC_9027: skin pathogen, Electronic dataset, National Center for Biotechnology Information NCBI Sequence Read Archive (SRA), viewed 23 Feb 2019 Available at:
 2017, Aligned Genomic DNA of Pseudomonas Aeruginosa_ATCC_9027: skin pathogen, Electronic dataset, National Center for Biotechnology Information NCBI Sequence Read Archive (SRA), viewed 23 Feb 2019 Available at:
Digital artefacts G – Software outputs:
 Digital artefact: Software for automatic assessment, viewed 1 March 2019
https://sourceforge.net/projects/eassessmentofd/files/ Project Report Available at:
 Digital artefact: Software to organise the coursework and detect plagiarism, viewed 1 March 2019, Available at:
 Griffiths, D., Beauvoir, P., Liber, O. and Barrett‐Baxendale, M., Jayal, A. 2009, Learning Designs for Practitioners (LD4P): Supporting Practitioners in producing IMS Learning Designs (LD for practitioners), Joint Information Systems Committee (JISC), UK, viewed 1 March 2019, Available at:
 Digital artefact: Mobile application Android, Park Campus Computing Quiz, viewed 1 March 2019 Available at:
a) Knowledge Economy Skills Scholarships (KESS 2) studentship funding in Cyber Security for £54,085 in 2019/20:
I have developed and successfully secured the KESS studentship for this interdisciplinary collaborative project in computing and cyber security in collaboration with the private company Aytel Systems Limited (https://www.aytel.co.uk/). This project builds upon and extends my existing research work available at [2, 9, 10] to to assess Cyber security challenges within the SME sector. This project will develop a framework to assess and model cyber security challenges with the SME sector. The purpose of this research is to pin down the elements required to secure an SMEs IT and networking infrastructure from the threats of cyber security through the means of external devices (BYOD) and cloud applications and to understand and make users aware of its boundaries and its security benefits and non-benefits towards the success of its business growth.
b) Cancer Informatics in 2018/19:
I have developed interdisciplinary UK-Germany collaborative project in cancer bioinformatics with German Institute of Tumour Biology. This project builds upon and extends my research work available at [1, 3, 4] to develop therapy for cancer. This project will have an impact for (i) patients by enhancing quality and increasing survival chances through prevention of metastatic progression, (ii) researchers by gaining new insights into mechanisms of therapy resistance, (iii) clinicians dealing with cancer treatment, and (iv) 2 of 10pharmaceutical companies by generating novel companion diagnostics to tailor drugs to the individual needs of cancer patients.
c) Bioinformatics - Institute of Biomedical Science IBMS Grant of £4,659.00 in 2017/18
This interdisciplinary project, in collaboration with School of Health Sciences, is aimed at developing a diagnostic tool for NHS to reduce cost of managing and resolving recurrent infection in patients. The project was granted an amount of £4659.00 by Institute of Biomedical Science IBMS Grant. An article about this grant was published in 'Biomedical Scientist' magazine published by the Institute of Biomedical Science (IBMS). Link for this article is as follows.
MinION sequencing machine has been purchased as part of this grant and being used to generate in house sequencing data. This project involves generating inhouse sequencing data and applying various computation and information engineering techniques. The major outcome of this project will be the production of a comprehensive list of small colony variant (SCVs) -specific genetic changes for Pseudomonas aeruginosa bacteria. The benefit of this will be the acquisition of knowledge that will enable us to design molecular probes to detect Pseudomonas aeruginosa SCVs in patients with chronic, infected wounds, where P. aeruginosa has been identified. Identifying patients with SCVs will allow for amended treatment to ensure clearance of infection, for example, increasing antimicrobial treatments to ensure that SCVs are eliminated effectively from the wound. This in turn will enable better management and resolution of wound infection and thus go some way to reducing the rate of recurrent wound infection and associated annual cost to the NHS.
d) Knowledge Transfer Project (KTP) Funding with Yard Associates Ltd, £131,079 in year 2017
I have contributed towards building a partnership with a local SME Yard Associates Ltd which has resulted in a successful two year KTP project in the area of Data Science. I attended the very first meetings with the company to nurture the relationship and exchanged ideas for possible knowledge exchange collaboration. These meetings and exchange of ideas culminated in a 2 year KTP with the company. I also helped develop the work plan for this KTP application.
e) Knowledge Transfer Project (KTP) Funding with 7 Layer Solutions Ltd, £131,079 in year 2013-15
I led and built a Knowledge Transfer Partnership (KTP No 9205) with 7Layer Solutions Limited. This is a Big data analytics project to develop a banknote lifecycle solution for monitoring and analysing the degradation of bank notes.
f) European Regional Development Fund (ERDF) Innovation Vouchers, £11,940 in year 2014
This was an innovation project between Snow Business International Ltd and University of Gloucestershire. The project involves developing embedded system for Arduino microcontroller to control the snow delivery machine using sms text messages.
g) South East England Development Agency (SEEDA) Innovation Voucher £4000 in year 2011
I led and built this innovation project between First Cyber Security Limited and University of Gloucestershire. The 2011 SEEDA innovation vouchers encouraged and allowed high growth SME to engage with the UK knowledge base. The aim of this project was to develop a Proof of concept secure browser for iPhone using objective c language. The digital artefact and technical report for this project has been deposited in Github repository.
Jayal, A., Williams, G., Bush, V., Hapeshi, K., (2011). i-phone low level analysis, SEEDA Innovation Voucher Project completion report (unpublished technical report), viewed 1 March 2019
h) The Mobile University: University of Gloucestershire Research Grant Funding Awards, £68,000 in 2010-11
This was an internal grant from University of Gloucestershire focused on developing and embedding mobile phone applications to enhance learning and teaching. The aim of this study was to research, develop and evaluate a wide range of applications for mobile and portable technologies in order to enhance research and scholarly activity within and beyond the classroom. Technologies included ‘smart’ mobile phones (iPhones, Android phones, Blackberry, etc.), pads (iPad and Android Pads eBooks) as well as laptops and netbooks.
i) Curriculum For Innovation Fund, £7950 in 2009 from Learning And Teaching Unit, Brunel University:
This project dealt with improving undergraduate assessment by using automated marking and was funded by a Innovation grant from Brunel University. Automated marking of diagrammatic coursework (e-Assessment), offers many potential benefits including timely feedback, consistency of marking and freeing up of valuable lecturer time. The use of diagrams is quite commonplace in many disciplines such as Computer Science, Engineering and Design. Unfortunately e-Assessment of diagrams is challenging because of imprecise semantics, the need to make sense of incomplete or only partially correct solutions and the possibility of a multiplicity of correct solutions. This research is important because quality and timeliness of feedback is an area about which the students have been consistently critical, so e-Assessment represents a very real opportunity to improve the Brunel student experience.
As part of this project I have developed a software tool for automated marking of diagrammatic coursework and evaluated it on a second year undergraduate module at the Brunel University. This software is customizable, plug and play and extensible. The evaluation results show that the software is effective but further work is required to perfect the accuracy. The software tool and corpus of coursework are published in sourceforge under the project 'e-Assessment of Diagrammatic Coursework'. The link for this project is as follows.
Digital artefact: Software for automatic assessment https://sourceforge.net/projects/eassessmentofd/files/
Project Report https://sourceforge.net/projects/eassessmentofd/files/LTDU_Project_Report_v4.pdf/download
Journal publication: Jayal, A. and Shepperd, M., 2009. An improved method for label matching in e-assessment of diagrams. Innovation in Teaching and Learning in Information and Computer Sciences, 8(1), pp.3-16.
j) Software to help lecturer organise the coursework and detect plagiarism, 2007
This was an internal grant from Brunel University to develop and evaluate a software tool for helping lecturers mark the coursework. Unfortunately a side effect of the introduction of some e-learning systems into HEIs has been the loss of flexibility and the imposition of new processes that can result in additional clerical and administrative burdens. As part of the grant I have developed a software tool, named PreMark, that fits between the e-learning tool (in our case WebCT/Blackboard) and the user (lecturer). PreMark is a prototype software system designed to provide support for lecturers during the assessment process by organizing the coursework electronically submitted by the students. Additionally it helps detect possible cases of plagiarism. This project has led to following outputs.
Digital artefact software: http://sourceforge.net/projects/eassessmentofd/
Publication Jayal, A. Cartwright, M. and Shepperd, M.J. (2007) Premark: A System Designed to Organising Course Work for Assessment. 5th International Conference on E-Governance, India, December 28-30, 2007, https://www.csi-sigegov.org/2/25_324_2.pdf [Accessed on Feb 2019]
k) Re-engineering Case Based Reasoning (CBR), Brunel University and British Telecommunications Limited, 2007
The aim of this project was to develop a web based CBR tool by re-engineering the original ANGEL software developed by Prof. Martin Shepperd. The task involved understanding the code of ANGEL, separating the business and presentation logic by designing and implementing a new business layer and developing the software as a client server application.
l) Interoperability project between Phosphorix Ltd and Joint Information Systems Committee (JISC), 2006
This project dealt with the interoperability issue between various virtual learning environments. As part of this project proof ¬of ¬concept software prototype was developed for automatically exporting levelA IMS Learning Design (LD) from activity sequences built using Phosphorix Ltd IOPortal technology. This was a part of a bigger project "LD4P: Supporting Practitioners in producing IMS Learning Designs (LD for practitioners)" funded by the Joint Information Systems Committee (JISC http://www.jisc.ac.uk/) as part of the Designing for Learning programme. The project included partners from Liverpool Hope University, St Helens College, Phosphorix Ltd and the University of Bolton.
Digital Artifact: http://bsd1.phosphorix.co.uk/ld4p/
Technical report Griffiths, D., Beauvoir, P., Liber, O. and Barrett‐Baxendale, M., Jayal, A. 2009, Learning Designs for Practitioners (LD4P): Supporting Practitioners in producing IMS Learning Designs (LD for practitioners), Joint Information Systems Committee (JISC), UK, viewed 18 Feb 2019,
m) Developed mobile application to engage students during open days at University of Gloucestershire
To help prospective students during open days, I have developed a mobile application  which promotes the town of Cheltenham as a computing hub by asking questions related to history and technology institutions around Cheltenham such as GCHQ and BCS headquarters. Additionally this app gives prospective students an insight into the kind of things, such as mobile application development techniques, that they will be taught during their computing undergraduate course.
1. PhD External examiner for Coventry University, 2019. The thesis was in the area of cyber security in Automotive Controller Area Network.
2. PhD External examiner for Jaypee Institute Of Information Technology University, India 2019. The thesis was in the area of machine learning and recommendation system.
3. PhD External examiner for National Institute Of Technology, India, 2018. The thesis uses machine learning algorithms and various other techniques to deal with the important issue of categorizing answers in public forum based on content quality.
4. External Examiner for Engineering & Computing Department, Undergraduate and Postgraduate programmes, University of East London, United Kingdom
5. External Examiner for Kingston University, BSc(Hons) Computing Top Up delivered with NESCOT, United Kingdom
6. External Examiner for University of Greenwich, Level 3 Computing, United Kingdom
7. External Examiner for Plymouth University for academic partnership with City of Bristol College, United Kingdom