Prof Joemon Jose he/him

With nearly three decades as a researcher in information retrieval and artificial intelligence, my passion lies in harnessing the power of data-driven models to tackle pressing societal issues. My research explores the intersection of AI and human behaviour, focusing on areas such as conflict detection on social media, fake news detection, multimodal next-item recommendation systems, facial expression detection and AI’s transformative role in legal judgment generation.

My group conducts cutting-edge, impact-driven research in information retrieval and AI, (see https://gair-lab.github.io/team/). Our mission is not only to innovate and address societal challenges, but also to develop and promote responsible and ethical AI technologies that benefit communities worldwide.

Collaborations I’d Like to Form: Current research collaborations involve Law, marketing, economics, health & wellbeing. Working across disciplines opens doors to deeply contextualised insights and promotes inclusive innovation. I’m especially interested in partnerships that explore how AI can be adapted to different domains.

A major challenge I currently tackle is enhancing the reasoning capabilities of large language models (LLMs), enabling them to move beyond surface-level pattern recognition toward deeper, context-aware understanding and inference, for example providing commonsense reasoning to next item recommendation. My current and aspirational interdisciplinary research spans:

– Social and Legal AI: Integrating legal reasoning with AI to support transparent and explainable legal judgment generation.

– Digital Humanities: Investigating how AI can reflect and respect social discourse, especially in misinformation analysis.

– Fashion-Tech Innovation: Merging multimodal recommendation systems with user-centred design for enhanced personalisation in e-commerce. For example, generating items that are missing in a catalogue.

Supervision style: I aim to supervise projects that combine technical depth with societal relevance. My ideal CDT projects involve:

– Developing AI systems detecting conflicts on social media.
Creating robust architectures for cross-modal personalisation.

– Building interpretable models that assist legal professionals and decision-makers.

I see myself as a supportive, hands-on mentor who encourages intellectual freedom while offering structured guidance. I take pride in nurturing independent thinkers who are fearless in crossing disciplinary boundaries.

Over the years, I’ve had the privilege of supervising more than 25 PhD students—many of whom are now leading researchers in academia and industry, driving innovation in AI, law, and media analytics.

EDI track record: Equity and inclusion are cornerstones of my academic practice. I actively work to promote representation and accessibility in STEM, mentoring students from diverse backgrounds and advocating for inclusive research practices. My group cultivates a safe and open space for creative exploration, grounded in mutual respect and cultural awareness.

Beyond the code and data lies a deep commitment to impact. I see science as a collaborative dialogue with society. I’m driven by curiosity, guided by empathy, and motivated by the possibility of creating tools that help people make sense of their complex digital world.

Whether I’m mentoring a student, presenting at a conference, or brainstorming over coffee, I believe that good science starts with great questions—and thrives when we bring our full selves into the pursuit of answers.