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I have extensive experience in Generative AI, Computer Vision, Machine Learning and Deep Learning research. I am currently leading the Vision ML Applied Science team in "Natural Language Image Search" at Microsoft. I also had the privilege to work on several groundbreaking projects such as GPT-4 Turbo with Vision and lead the development of the Azure Cognitive Services Smart Cropping service. I served as the principal investigator for Responsible AI evaluation and mitigations of major Azure Vision products including GPT-4V and Image Search. Previously, I was leading the Neural Network hardware accelerator software team at Samsung. I have significant research experience developing algorithms that accelerate and compress Neural Networks. During my PhD thesis, I dealt with video understanding, texture/structure partition, texture compression, synthesis and video compression. I have also worked on problems related to video segmentation, scene flow and texture segmentation. I have also been exposed through research or graduate-level courses to Video and Image Processing and Convex Optimization.
Apple
View- Website:
- microsoft.com
- Employees:
- 10
- Company phone:
- 0124 415 8000
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Machine Learning ManagerAppleRedmond, Wa, Us
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Principal Software EngineerMicrosoft Sep 2019 - PresentRedmond, Washington, UsBuilding Content Understanding, a new Azure AI Service built for ingesting unstructured content with GenAI (https://azure.microsoft.com/en-us/products/ai-services/ai-content-understanding)Leading the Vision ML Applied Science team in "Search your photos using natural language" (https://techcommunity.microsoft.com/t5/microsoft-onedrive-blog/unveiling-the-next-generation-of-onedrive/ba-p/3935612, https://portal.vision.cognitive.azure.com/demo/search-photo-album).Designed and developed the Responsible AI evaluation for Generative AI products such as GPT-4 Turbo with Vision (https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/gpt-4-turbo-with-vision-azure-ai-vision/ba-p/4009630).Led the work on Azure's Smart Cropping service (https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-generating-thumbnails?tabs=4-0), which has already processed >1B images and continues to process millions of images per day.Led the efforts on accelerating and compressing neural networks as well as contributed to AutoML for Azure Cognitive Services Custom Vision (https://www.customvision.ai/).
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Senior Deep Learning Research Team LeadSamsung Nov 2018 - Sep 2019Schiphol, NlS/W team lead. Research in Deep Learning. Accelerating and compressing Neural Networks. -
Senior Computer Vision ResearcherSamsung Jan 2017 - Nov 2018Schiphol, NlResearch in Deep Learning. Accelerating and compressing Neural Networks
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Research Engineer, Image TechnologyDolby Laboratories Dec 2015 - Jan 2017San Francisco, California, UsResearch in Computer Vision -
Graduate Student ResearcherUcla Sep 2010 - Dec 2015Los Angeles, Ca, UsResearch in Computer Vision. -
Teaching AssistantUcla Mar 2012 - Jun 2012Los Angeles, Ca, UsIntroduction to Computer Graphics (Instructor: Prof. Stefano Soatto)
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Research InternDolby Laboratories May 2015 - Jul 2015San Francisco, California, UsDesigned a video segmentation system that is competitive with state-of-the-art approaches.
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Research InternDolby Laboratories Jun 2014 - Sep 2014San Francisco, California, UsDesigned a scene flow algorithm that achieves state-of-the-art performance.
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"Silicon Valley" Tv Show - Technical ConsultantHbo 2014 - 2014New York, Ny, UsTechnical analysis on topics related to the T.V. show “Silicon Valley”. -
Emerging Graphics Group InternAdobe Jun 2013 - Sep 2013San Jose, Ca, UsDesigned a new texture segmentation algorithm that achieves comparable results with recent approaches. -
Research AssistantPrinceton University Jun 2009 - Aug 2009Princeton, Nj, UsWorked on quickest detection theory in cognitive radio networks that lead to a journal publication.
Georgios Georgiadis Skills
Georgios Georgiadis Education Details
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UclaComputer Science -
UclaComputer Science
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Stanford UniversityElectrical Engineering
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Imperial College LondonElectrical And Electronics Engineering
Frequently Asked Questions about Georgios Georgiadis
What company does Georgios Georgiadis work for?
Georgios Georgiadis works for Apple
What is Georgios Georgiadis's role at the current company?
Georgios Georgiadis's current role is Machine Learning Manager.
What is Georgios Georgiadis's email address?
Georgios Georgiadis's email address is ge****@****lby.com
What is Georgios Georgiadis's direct phone number?
Georgios Georgiadis's direct phone number is +165079*****
What schools did Georgios Georgiadis attend?
Georgios Georgiadis attended Ucla, Ucla, Stanford University, Imperial College London.
What are some of Georgios Georgiadis's interests?
Georgios Georgiadis has interest in Human Rights, Education, Environment.
What skills is Georgios Georgiadis known for?
Georgios Georgiadis has skills like Computer Vision, Machine Learning, Video Compression, Pattern Recognition, Image Processing, Algorithms, C++, Matlab, Programming, Artificial Intelligence, C, Latex.
Who are Georgios Georgiadis's colleagues?
Georgios Georgiadis's colleagues are Rohan Bharadwaj, Ervin Brooks, Kevin Motari, Bamdad Mousavi, Jacob Lorch, Micheal Jenet, Sun Shine.
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