Hisham Ihshaish

Hisham Ihshaish, Ph.D.

FHEA · Marie Curie Postdoctoral Fellow

Head of Data and AI

Explore Learning

Faculty Member, Department of Computer Science

Birzeit University

Senior Lecturer & Programme Director, MSc FinTech

UWE Bristol

Biography

I am a Senior Lecturer in Computer Science and a Fellow of the UK’s Higher Education Academy. At UWE Bristol, I am a member of the Computer Science Research Centre and the Data Science and Mathematics Research Group, and I direct the MSc in Financial Technologies. I am a Faculty Member at Birzeit University in Palestine. I also lead AI and Data at Explore Learning, developing algorithmic personalisation for adaptive learning platforms, designing intelligent scaffolding systems grounded in Bayesian inference and Zone of Proximal Development theory, and managing data science teams delivering production ML at scale across the UK. I co-founded Siraj.app, an AI-driven platform using generative AI and LLMs to provide personalised academic and career guidance for secondary school students in Palestine.

My career has taken me through Palestine, Spain, the Netherlands, and the UK. I completed my PhD and MSc at the Autonomous University of Barcelona, followed by a Marie Curie Postdoctoral Fellowship at Utrecht University and VORtech BV in the Netherlands, where I developed Par@Graph, the first parallel toolkit for constructing and analysing large-scale climate networks. The work was featured in Networks in Climate (Cambridge University Press, 2019) and continues to be used by oceanographers and climate scientists worldwide.

Over the years, I have led research with GE Aerospace, Innovate UK, and the British Council, co-founded three MSc programmes, and supervised over 40 MSc dissertations and multiple PhDs. I have lectured at universities across Europe, in China and Hong Kong, and served as a PhD external examiner in Britain, Spain, and the Netherlands.

Interests
  • Applied Machine Learning
  • Generative AI & LLMs
  • Agentic AI Systems
  • Time Series Analysis
  • Stochastic Noise
  • Large-Scale Data Analysis
  • NLP & Text Mining
  • Production ML Engineering
  • Financial Technologies
Education
  • Diploma in AI in FinTech & Open Banking

    Saïd Business School, University of Oxford

  • PhD in High-Performance Computing

    Autonomous University of Barcelona

  • MSc in Advanced Informatics

    Autonomous University of Barcelona

  • BSc in Information Technology

    PPU

News (Upcoming & Recent)

Projects

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Designing Synthetic Personalities for Intelligent Autonomous Objects.
Internal Funding [£25k]. Designing Synthetic Personalities for Intelligent Autonomous Objects [2020-2021].
AgriTech in Egypt.
British Council Newton Fund £250k [2019-2021].
Automation in Construction
Innovate UK [2019-2022]. £1.2M.Department for Transport.

Recent Publications

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(2022). Analysing the Predictivity of Features to Characterise the Search Space. In ICANN 2022.

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(2022). Estimating defection in subscription-type markets, empirical analysis from the scholarly publishing industry. (preprint submitted) ACM Transactions on Economics and Computation.

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(2022). A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard. (preprint submitted) Engineering Applications of Artificial Intelligence.

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(2022). Problem Classification for Tailored Helpdesk Auto-replies. In ICANN 2022.

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(2022). Task-Oriented Dialogue Systems - Performance vs Quality-Optima, A Review. In CS & IT - CSCP 2022.

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(2022). qNoise. A generator of non-Gaussian colored noise. SoftwareX 18 (2022),101034.

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(2021). AgroSupportAnalytics- A Cloud-based Complaints Management and Decision Support System for Sustainable Farming in Egypt. Egyptian Informatics Journal 23 (2022) 73–82.

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(2015). Par@Graph – a parallel toolbox for the construction and analysis of large complex climate networks. Geosci. Model Dev., 8, 3321–3331, 2015.

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Contact

Personal

Outside the lab and the lecture hall, I travel (I think a lot), and I am a half-time protester. This never ages.

Below is a random selection of mostly old pictures. They are so random that they are.

Mountains in England
Somewhere in England. Pretending to know where.
Budapest
Stumbled upon the wrong place in Budapest. Took it personally.
Buenos Aires
12 hours to Buenos Aires. This is the face of victory.
Dutch farewell
The Dutch goodbye. They called me "a fine node in the VORtech network." Still unsure if that was a compliment.
Delft, Holland
Postdoc era. Cloudy Delft, cloudier code. Holland, 2014.
The Louvre
The Louvre. When I was a young tourist. The Mona Lisa was unimpressed.
Caceres, Spain
Caceres, 2012. With Matteo. Still arguing about whose paella was better.
Cuba
On the road in Cuba. "Esta revolucion es invencible." The billboard was louder than the engine.
Uncle Joe in Germany
Offered uncle Joe a lollipop in Germany. He declined. Rude.
Protest in Bristol
The half-time protester, full-time when needed. Bristol.
Cheddar Gorge
If not at university, I am somewhere up a gorge. Cheddar, Bristol.
French Channel
The French side of the English Channel, 2018. The English side was jealous.
China 2025
China, 2025. Guest lecturing, or just eating. Mostly eating.
Palestine
Some scenes need no caption. Palestine.
Miko Peled book signing
Got Miko Peled to sign my copy. He got me to read it.
Alumni celebration in Bristol
Celebrating alumni in Bristol. The QR code on the projector was not the surprise.
Bristol home
Where most of the thinking happens. Bristol HQ.
Hong Kong
My hotel view in Hong Kong. The year is disputed.

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