³Ô¹Ïtv

Publications

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Human-centric Computing and Information Sciences Vol 16 (2026)

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Advances in Information Retrieval The 48th European Conference on Information Retrieval Lecture Notes in Computer Science Vol 16483, pp. 481-496 (2026)

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Transactions on Machine Learning Research (2026)

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JMIR Aging (2026)

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Digital Discovery Vol 5, pp. 1037-1067 (2026)

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Journal of Documentation Vol 82, pp. 249-265 (2026)

Teaching

Current Modules: 

• Fundamentals of Machine Learning for Data Analytics
• Advance Machine Learning Techniques

Past Modules:

• Big Data Fundamentals
• Big Data Tools and Techniques

Research Interests

My research vision has been to develop the underlying and core technology of "pro-active" information systems, which has an essential and challenging data science task: accurately infer and predict the immediate information needs of users by processing, analysing, and learning from abundant big data gathered from various sources including brain activation data gathered via MRI and EEG devices. My research interests and expertise are in line with Neuroscience, Information Retrieval, Natural Language Processing, Data Mining, Machine Learning and Deep Learning. My interests, however, are extended beyond Information Retrieval and pertain to rigorously understanding the world of Data Science and Artificial Intelligence.

Professional Activities

Speaker

2026

Speaker

28/8/2025

Participant

30/1/2025

Participant

30/1/2025

Examiner

2025

Host

2025

Projects

Moshfeghi, Yashar (Principal Investigator)

01-Jan-2026 - 30-Jan-2026

Moshfeghi, Yashar (Co-investigator)

01-Jan-2025 - 30-Jan-2030

Kist, Cassandra (Principal Investigator) Moshfeghi, Yashar (Co-investigator) Barrie, Danielle (Research Co-investigator)

01-Jan-2025 - 01-Jan-2029

Sanjurjo-Ramos, Jesus (Principal Investigator) Belton, Lloyd (CoPI) Moshfeghi, Yashar (Co-investigator) Izaguirre, Yaimara (Co-investigator) Thompson-Brown, Beverley (Co-investigator) Barcia, Manuel (Researcher) Bardes, John (Researcher) Basques, Messias (Researcher) GONZALEZ ARANA, Roberto (Researcher) Guyatt, Nicholas (Researcher) Gyollai, Daniel (Researcher) Jardine, Cara (Researcher) Mantilla Morales, Valeria Sofia (Researcher) Moss, Kellie (Researcher) Naranjo, Consuelo (Researcher) Piacentini, Laura (Researcher) Sabala, Vanesa (Researcher) Sarmiento Ramirez, Ismael (Researcher) Bhopal, Aneel Singh (Fellow) Surwillo, Lisa (Researcher) Weaver, Beth (Researcher)

This flagship project encompasses various initiatives to examine the historical origins of systemic racism and class discrimination in contemporary criminal justice systems by bringing together historians, computer scientists specialising in AI, criminologists, philosophers, and justice policy experts. Led by Dr Jesús Sanjurjo (³Ô¹Ïtv) and Dr Lloyd Belton (University of Glasgow), our research is centred around the recent unearthing of a unique historical collection: Havana's Royal Prison Logbooks.

Spanning a century (1837-1937), these extraordinary manuscripts from one of the Atlantic's largest colonial prisons contain detailed records of thousands of men, women, and children, both free and enslaved. By connecting this rich historical data with contemporary policy, we aim to directly inform current debates on prison reform and the enduring legacies of racial injustice. The initiative is generously funded by the ³Ô¹Ïtv, the University of Glasgow, the British Library's Endangered Archives Programme, the UKRI-ESRC Impact Acceleration Account, and the Spanish Ministry of Science, Innovation and Universities.

The project comprises the following research initiatives:

1. 'Using AI for Tracking Systemic Racism in Historical Carceral Systems', co-led by Dr Sanjurjo, Dr Moshfeghi, and Dr Belton, 1/02/25 → 31/07/25, funded by a ³Ô¹Ïtv's Faculty of Humanities and Social Sciences Research Grant, £2,000.00.

2. 'Havana’s Royal Prison Logbooks (1836-1898): Digitisation, Preservation and Dissemination', co-led by Dr Sanjurjo, Dr Moshfeghi, Dr Belton, and MSc. Izaguirre, 1/10/25 → Ongoing, funded by the British Library's Endangered Archives Programme (pilot), £15,000.00, https://eap.bl.uk/project/EAP1676

3. 'To contain the diffusion of pernicious ideas. The systematic imprisonment of Black sailors in Cuba and the United States, 1830-1850' ['Para contener la difusión de ideas perniciosas: Encarcelamiento sistemático de marineros negros en Cuba y Estados Unidos, 1830-1850'], co-led by Dr Belton, Dr Sanjurjo, MSc. Izaguirre, in partnership with Dr John Bardes, 1/05/25 → Ongoing, internally funded.

4. 'Using AI to Track Systemic Racism in Historical Carceral Systems', ESRC Impact Acceleration Account (IAA), co-led by Dr Sanjurjo, Dr Moshfeghi, and Dr Belton in partnership with Beverley Thompson-Brown OBE, 01/11/25 → Ongoing, funded by an ESRC Impact Acceleration Account (IAA) Award, £14,769.96.

5. 'Historical Prison Systems in The Atlantic World and Their Impact on the Construction of Contemporary Penitentiary Models', I-LINK Programme of the CSIC and the Spanish Ministry of Science, Innovation and Universities Scheme, led by Prof Consuelo Naranjo, co-led by Prof Consuelo Naranjo (CSIC-Madrid) and Dr Sanjurjo, 1/01/2026 → Ongoing, funded by the Spanish Ministry of Science, Innovation and Universities' I-LINK Scheme, €30,000.00

01-Jan-2025

Sanjurjo-Ramos, Jesus (Principal Investigator) Moshfeghi, Yashar (Co-investigator)

This project seeks to create an interdisciplinary and collaborative platform to address the use of AI-driven "proactive" information systems in tracking systemic racism in the genesis of modern carceral systems in the Atlantic World. By bringing together the expertise of historians, computer scientists, software developers, political scientists and law experts, we aim to better understand the impact that historical prison systems had in defining and perpetuating forms of interrelated racial, class and gender violence and discrimination in colonial and postcolonial societies of in the Americas, Europe and Africa.

Building on the ongoing research on Havana’s Royal Prison Logbooks, led by Dr Sanjurjo, and Dr Moshfeghi extensive experience in Natural Language Processing, Language Modeling, Machine Learning, and Deep Learning techniques to create innovative solutions, this project seeks to track the emergence of structural racism and mass incarceration as a system of governance across the Atlantic world and thereby historicise racial and class disparities in prison populations today.

In the long term, this project has the potential to fundamentally reshape our understanding of structural racism and violence in carceral systems by allowing researchers to track demographic shifts in prison populations over time. The anticipated outcomes of this project would be invaluable not only for historians and other academic scholars but also for policymakers, security services and third-sector organisations interested in prison reform. These outputs will lay a solid foundation for the second stage envisioned for this project, which we hope to undertake with a Horizon Europe (Culture, Creativity and Inclusive Society cluster) grant.

01-Jan-2025 - 31-Jan-2025

Zollner, Malin (Researcher) Nematiaram, Tahereh (Principal Investigator) Moshfeghi, Yashar (Principal Investigator)

A research project aimed at discovering new functional materials, with a focus on small-molecule organic semiconductors, through machine learning and high-throughput screening to advance sustainable and innovative technologies—supporting applications such as organic photovoltaics for clean energy and medical biosensors for next-generation diagnostics.

01-Jan-2024 - 30-Jan-2027