🔎 Research spotlight Dr Marianna Cerasuolo is an applied mathematician specialising in mathematical and computational biology, focusing on data analysis and developing mathematical models for medical, biological, and environmental applications. Her expertise spans complex systems, experimental data analysis, and the study of diffusion, delayed, and instantaneous processes. She has worked on various challenges in biomathematics, including the design of optimal treatments for prostate cancer. She was awarded the Horizon 2020 project Diverfarming, where she developed models to predict the effects of diversified cropping systems on soil carbon. In 2023, she was awarded the Horizon Europe BIOservicES project to analyse soil microbiome dynamics under climate change. #researchspotlight #maths #womeninstem #computationalbiology #dataanalysis #biomathematics
Sussex AI
Higher Education
Sussex AI is an interdisciplinary Centre of Excellence at the University of Sussex
About us
Sussex AI is an interdisciplinary Centre of Excellence at the University of Sussex. Our centre draws together world-leading experts to create a critical mass of technical skills and domain knowledge and proving that a challenge is only impossible until it’s done. Our research and training covers a wide range of topics in AI and data science, with a unique multidisciplinary Sussex angle.
- Website
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https://www.sussex.ac.uk/research/centres/ai-research-group/
External link for Sussex AI
- Industry
- Higher Education
- Company size
- 51-200 employees
- Headquarters
- Falmer
- Type
- Public Company
Locations
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Primary
University of Sussex
Falmer, GB
Employees at Sussex AI
Updates
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🔊 Sussex AI PhD studentships 2025 - applications are now open! University of Sussex invites applications for PhD studentships based within Sussex AI, an interdisciplinary Centre of Excellence at the University of Sussex. This studentship is available to UK and overseas applicants. Deadline: 19 February 2025 Please email ai@sussex.ac.uk if you have any questions about the process. Project suggestions: https://lnkd.in/es3Cbj2g Application page: https://lnkd.in/eWPR9Fev #PhD #PhDcandidate #PhDstudentship #ai #doctoraltraining #sussex #brighton
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Sussex AI reposted this
We’ve just announced this year’s call for applications to our Sussex AI PhD studentships at the University of Sussex! You can find all the details https://lnkd.in/edSQNp5F. This year we’ve included a few suggested project directions to give some inspirations https://lnkd.in/e8UEKxHu. Please share with your contacts! Deadline is 19th February. Email me and/or DSAI_administration@sussex.ac.uk if you have any questions about the process.
Sussex AI PhD studentships (2025)
sussex.ac.uk
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Last week we hosted Mykola Makhortykh and Maryna Sydorova as our seminar speakers. Both researchers work at University of Bern and were visiting Landecker Digital Memory Lab run by Victoria Grace Richardson-Walden. Mykola and Maryna delivered a talk: ': Is the war in the eye of artificial beholders? Understanding how AI (mis)represents Russia's war in Ukraine'. Thank you for your interesting lecture!
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Our member Peter Wijeratne will be presenting his work at NeurIPS 2024 next week. If you are attending, don't hesitate to check Peter's poster, in collaboration with Daniel Alexander. Details below. 👏
Assistant Professor in Computer Science and AI, Convenor of the Data Science & AI (Level 7 Apprenticeship) MSc
Calling NeurIPS 2024 attendees with an interest in low-compute probabilistic modelling of disease progression (and optimal transport)! Join Daniel Alexander and I next Thursday to chat about our new paper "Unscrambling disease progression at scale: fast inference of event permutations with optimal transport". TL;DR: A new method that substantially speeds up inference of discrete disease progression models, allowing them to scale to large feature sets. Poster location and time: East Exhibit Hall A-C # 4007, Thu 12 Dec 4:30 p.m. PST — 7:30 p.m. PST Paper: https://lnkd.in/ebTwB39i Code (available soon): https://lnkd.in/enJhr43s Sussex AI University of Sussex UCL Centre for Medical Image Computing (CMIC) UCL Computer Science
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Interesting opportunity for proof-of-concept studies.
📣 AI4CI RAPID RESPONSE FUND LAUNCH! 🎉 🎉 🎉 Today is the day! We've been working hard in the background to setup our Rapid Response Fund and it's now OPEN FOR APPLICATIONS! 💰https://lnkd.in/eNZS8P5E 💰 Visit our BRAND NEW SHINY WEBSITE! 👉 https://ai4ci.ac.uk/ to learn more about the wider Hub: The Team, The Themes, Our Research, Events and Funding Opportunities. Stay in the loop👉 https://shorturl.at/6mA0N #ResearchFunding #UKRI #EPSRC #AI4CI #CollectiveIntelligence #ShowMeTheMoney
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🔎 Research spotlight Albertus Andito is a PhD Student in the Text Analytics Group (TAG) Lab, working under the supervision of Professor David Weir and Professor Julie Weeds. His research focuses on using semantic similarity to match and group different categories of texts, with applications in schema matching and web scraping. In schema matching, he works on automatically aligning structured data across different sources using self-supervised contrastive learning. More recently, Albertus has been exploring the use of Large Language Models (LLMs) to generate and verify web scraping configurations."
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📖 New publication alert: Carlo Tiseo "Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics" #research #robotics #teleoperation #healthcare #IEEEBiorob2024
Check out our latest paper "Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics" on IEEE Transaction of Medical Robotics and Bionics, also presented at #IEEEBiorob2024. The paper showcases a controller that can adapt to multiple dynamic tasks and highlights the perception challenges introduced by dexterous dynamic teleoperation. #Robotics #Teleoperation #Healthcare A huge thanks to all my co-authors who made this work possible: QuentinRouxel, Martin Asenov, Keyhan Kouhkiloui Babarahmati, Subramanian Ramamoorthy, Alex Li, and Michael Mistry Paper Information: C. Tiseo et al., "Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics," in IEEE Transactions on Medical Robotics and Bionics, doi: 10.1109/TMRB.2024.3506163. Link: https://lnkd.in/e8T88jmB
Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics
https://www.youtube.com/
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Dr Mykola Makhortykh and Maryna Sydorova will deliver a talk next week as part of Sussex AI Seminar Series. Check out the amazing project Landecker Digital Memory Lab run by Victoria Grace Richardson-Walden at the University of Sussex.
We're really pleased to introduce our two current visiting researchers, who will be exploring all things #AI and #Holocaust #memory related with us over the next two weeks. Watch this space, for news on our jammed-packed schedule of activities! Find out more about them in our interview post: https://lnkd.in/ekHb36bY
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🔎 Research spotlight Stephen Wilkins is a Professor of Astronomy and Public Understanding of Science at the University of Sussex. Stephen’s main research focuses on understanding the formation and evolution of galaxies, particularly the first stages in the distant early Universe. To do this he, and his team, combine observations from telescopes including Webb and Hubble with supercomputer simulations. Outside his research Stephen is Head of Astronomy and also a keen advocate of public understanding of science. #astronomy #publicengagement #researchspotlight DISCUS (Data Intensive Science at University of Sussex)