Riad Ibadulla
@riad_ibadulla
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PhD Candidate Computer Science, Deep Learning Engineer. #imageanalysis #python #deeplearning #fatnet #opticalneuralnetworks #cuda #computervision
United Kingdom
Joined October 2017
Thank you, Carlos, for your invaluable guidance and mentorship over the years—couldn’t have achieved this without your support. Remembering Tom Chen, whose early guidance helped shape this work too.
Kudos @riad_ibadulla who defended his PhD Thesis "High Resolution Capabilities of Free-space Optical Neural Networks". Grateful to examiners Hongying Meng, Veselin Rakocevic, chair Andy MacFarlane. We remember Tom Chen who sadly is no longer with us to celebrate this achievement
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RT @C_ReyesAldasoro: Latest pre-print by @YoussefArafat1 "Fibre tracing in biomedical images: An objective comparison between seven algo….
biorxiv.org
Obtaining the traces and the characteristics of elongated structures is an important task in computer vision pipelines. In biomedical applications, the analysis of traces of vasculature, nerves or...
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RT @C_ReyesAldasoro: Latest publication by @riad_ibadulla "Fat-U-Net: non-contracting U-Net for free-space optical neural networks" http….
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Today, I had the honor of presenting my research, Fat-U-Net, at the #SPIE’s AI and Optical Data Sciences V conference in San Francisco. A heartfelt thank you to my supervisors, Tom Chen and @C_ReyesAldasoro, for their invaluable guidance throughout my research journey.
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Today at the Research Day of the @CityUniSTEM, I presented my work on 'FatNet' which was previously published in @MDPIOpenAccess’s @AI_MDPI journal. Delighted to announce that my poster received the first place award for the best PhD poster. #CitySTEM .@C_ReyesAldasoro
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RT @burkov: It's shocking, especially for someone who witnessed the birth and rise of Google firsthand, to see how less and less relevant G….
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RT @burkov: Images generated by AI are easily recognizable. And the problem is more than just with hands. The overall style is boring and m….
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From July 26-28th, our team, Readux, took first place in a hackathon organised by @evidence_house in partnership with #Google, #Microsoft, #OpenAI, and #Anthropic. Following that, on sept11, we had the distinct honor of being invited to Downing Street to showcase our project.
#CitySTEM PhD student Riad Ibadulla excels as part of victorious ‘Team Redux’ in three-day Generative AI Hackathon: . . @NewsfromCity @CityUniLondon @rajkumar_roy
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RT @CaliberEnglish: #Video of a rare Caucasian #leopard. It was taken with a hidden camera in #Zangazur National Park (#Azerbaijan) https:/….
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RT @10DowningStreet: AI can transform our lives and improve our public services – but it must be done safely. Here are two things we’re do….
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I'm happy to announce that my team won the generative AI hackathon organised by 10 Downing Street’s data science team, Evidence House in partnership with Google, Microsoft, OpenAI, Anthropic
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#CitySTEM Computer Scientists develop #FatNet algorithm which could lead to greater precision of medical diagnoses, and advances in #autonomousvehicles . …. @C_ReyesAldasoro @giCentre @NewsfromCity.
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RT @chriswolfvision: A phone friendly book on deep learning for beginners, that's a really great idea. Love it.
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