Georgios Ouzounis Email and Phone Number
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Technologist, visionary and thought leader with over 24 years of experience in the front lines of scientific research, engineering and entrepreneurship in the hi-tech industry and across seven countries. Motivated by the quest for excellence in business practices and recognized for innovation, strategy and delivery, I have been driving corporate growth in the geospatial, intelligence, medical, healthcare, insurance, financial and consumer electronics sectors through leadership and technology. Core fields of expertise include computer vision, data science, machine learning and AI for big data analytics over different cloud architectures.
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Head Of Ai ResearchAtlas Ai Feb 2023 - PresentPalo Alto, California, Us -
Head Of Ml EngineeringAtlas Ai Oct 2021 - PresentPalo Alto, California, UsAtlas AI develops unique technologies that help clients decide where to invest in emerging markets. Founded by a team of Stanford university scientists and backed by Airbus and The Rockefeller Foundation, we apply cutting edge artificial intelligence techniques to measure localized socioeconomic conditions in emerging markets, where market information is scarce. We use this proprietary data to analyze, monitor and forecast regions of growth, stagnation, and vulnerability to offer insights into where private and public organizations can grow most successfully and where investment can best drive the most economic and societal progress, promoting inclusive growth.As Head of the Innovation & ML Engineering Teams I lead works in areas such as:- global high resolution mapping of human presence - global high resolution mapping of Land Use Land Cover- asset detection, segmentation, quantification and registration (e.g. building footprints, road networks, oil tanks, aircrafts, vehicle, ships, etc.)- computing asset wealth and consumption power in the developing world- forecasting socioeconomic indicators for the USA, Africa and South Asiaand others. -
Professor, Deep LearningKauno Kolegija Sep 2018 - PresentKaunas, Kaunas, LtVisiting professor teaching the intensive Crash Course in Deep Learning with emphasis given in fintech, healthcare and predictive analytics. -
Global LecturerUniversity Of Arizona Sep 2021 - Dec 2022Tucson, Arizona, UsCourse instructor for 'Inferential Statistics' and 'Hypothesis Testing', part of the MS program in Data Science. -
Vice President (Vp) Data ScienceElectrifai Sep 2019 - Mar 2021Jersey City, New Jersey, UsTeam leader and founder overseeing R&D in AI applied to medical imaging, industrial computer vision, healthcare, remote sensing, insurance and fintech verticals. Focus areas include:- medical imaging: oncology, respiratory conditions, head/brain trauma, vascular disease and urinary conditions;- computer vision: real-time video analytics, object detection, segmentation and tracking from live feeds and static imagery, behavioral modeling and prediction, and semi-supervised classification.- NLP: image2text, text classification, sentiment analysis.- healthcare and fintech: massive unstructured data ingestion, dimensionality reduction, predictive analytics, anomaly detection, fraud and risk detection.- remote sensing: geospatial intelligence for the oil and gas industry All works are based on real world data using AI at scale, and delivered as SaaS products in cloud-native platforms. -
Senior Staff Computer Vision EngineerArlo Technologies, Inc. Feb 2018 - Sep 2019Milpitas, California, UsLed computer vision initiatives with focus in real-time, AI-driven video surveillance and analytics using face recognition, object detection and sentiment analysis in support of the Arlo security camera. Specialized in motion detection and event prediction, real-time video filtering, segmentation and tracking and long term background modeling, static object detection & scene understanding. -
Lead Data ScientistVerisk Jun 2017 - Feb 2018Jersey City, Nj, UsTeam leader and founder with focus in automated claim adjustment for healthcare, auto and property, fraud and digital image forensics, image2text and predictive analytics using ML, AI and computer vision. -
Senior Research ScientistDigitalglobe Oct 2012 - Jun 2017Westminster, Colorado, UsTeam lead, researcher and solutions engineer for satellite image based products and geospatial intelligence analytics using computer vision and ML&AI at scale. Expertise in image information mining for human settlement mapping, object detection land use/land cover and disaster/disaster risk assessment and mitigation.Highlights of this work include the development of the core technologies for the population of the world's first very high resolution Global Human Settlement Layer, a featured product of the Joint Research Center of EC. -
Technical Project OfficerEuropean Commission Sep 2009 - Sep 2012Brussels, BeLead researcher driving satellite image analytics initiatives for the Global Security and Crisis Management Unit of the Institute for the Protection and Security of the Citizen, Joint Research Center. Developed some of the core technologies powering the Unit's featured product known as the very high resolution Global Human Settlement Layer (GHSL). Areas of focus include urban modeling, security applications, production of information layers in support of crisis management and disaster risk and post disaster needs assessments. -
Research ScientistDemocritus University Of Thrace Jan 2008 - Sep 2009Komotini, Komotinis, GrResearch scientist with expertise in high performance algorithms for 3D medical image analysis and visualization methods. Field work at the 1st General University Hospital of Alexandroupoli, Greece, where I developed a collection of diagnostic support and pre-operation planning tools of interest to the departments of Surgery, Oncology and Urology. -
Research ScientistUniversity Of Groningen Dec 2003 - Nov 2007Groningen, NlResearch in advanced mathematical constructs around the concept of spatio-temporal connectivity in continuous and discrete spaces, with emphasis in high performance algorithm design and implementation. Application areas: medical, biomedical and astronomical image analysis -
Sergeant, InfantryHellenic Army Sep 2001 - Jan 2003Athens, Attiki, GrDecorated infantry sergeant at Hellenic Armed Forces. Command posts: (i) M130 armored vehicle commander in mechanized infantry division, (ii) infantry sergeant - heavy weapons division of the 25 Armored Brigade, (iii) sergeant major, trainer. Expertise in (i) radiological & biochemical warfare, (ii) mortars, (iii) ICT - operations office of the 25 Armored Brigade, Xanthi, Greece. -
Research AssociateHeriot-Watt University Oct 1998 - Dec 2000Edinburgh, GbFood Industry: design and implementation of fully automated processes for live fish grading using real-time CV & ML on edge devices. Industrial system integration: real-time ML inference driving electro-mechanical graders for live stock categorization.
Georgios Ouzounis Skills
Georgios Ouzounis Education Details
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University Of GroningenAdvanced Morphological Image Analysis -
Heriot-Watt UniversityComputer Science -
Heriot-Watt UniversityElectrical And Electronics Engineering -
Technische Universität DresdenElectrical And Electronics Engineering
Frequently Asked Questions about Georgios Ouzounis
What company does Georgios Ouzounis work for?
Georgios Ouzounis works for Atlas Ai
What is Georgios Ouzounis's role at the current company?
Georgios Ouzounis's current role is Thought leader, technologist, entrepreneur and educator.
What is Georgios Ouzounis's email address?
Georgios Ouzounis's email address is go****@****fai.net
What schools did Georgios Ouzounis attend?
Georgios Ouzounis attended University Of Groningen, Heriot-Watt University, Heriot-Watt University, Technische Universität Dresden.
What are some of Georgios Ouzounis's interests?
Georgios Ouzounis has interest in Politics, Environment, Education, Image Analysis And Processing, Mathematical Modeling, Science And Technology, Disaster And Humanitarian Relief, Computer Vision, Advanced Algorithm Development, Animal Welfare.
What skills is Georgios Ouzounis known for?
Georgios Ouzounis has skills like Image Processing, Machine Learning, Computer Vision, Algorithms, Pattern Recognition, Image Analysis, Remote Sensing, Signal Processing, Computer Science, Artificial Intelligence, Data Mining, Latex.
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