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Christos Tzagkarakis is listed as Research Scientist at BreezeLabs, based in Greece, Greece, Greece. AeroLeads shows a work email signal at tudelft.nl and a matched LinkedIn profile for Christos Tzagkarakis.
Christos Tzagkarakis previously worked as Advisor, Signal Processing & AI at Breezelabs and AI Quant at Stealth Fintech Startup. Christos Tzagkarakis holds Doctor Of Philosophy (Ph.D.), Computer Science, 9.33/10 from University Of Crete.
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I am a research scientist specializing in Machine Learning, Signal Processing, and Data Analysis, with a solid foundation in Computer Science and Applied Mathematics. My work encompasses innovative applications of AI, signal processing, and data-driven technologies, tackling complex challenges across diverse domains. I am dedicated to staying at the cutting edge of technological and scientific advancements, using state-of-the-art methods to address real-world problems. Throughout my career, I have consistently demonstrated the ability to design and implement advanced algorithms that lead to breakthroughs in machine learning, signal processing, and data-driven technologies. My contributions are published in top-tier conferences, journals, and patents. I thrive in interdisciplinary team settings, delivering impactful solutions across academic, industrial, and startup environments.
Listed skills include Research, Signal Processing, Matlab, Audio Processing, and 13 others.
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Zurich, Switzerland
Serving as an advisor at BreezeLabs, contributing into the development of advanced algorithmic solutions in breathing analysis for athletes, with a particular focus on running. The role involves applying expertise in AI and signal processing to convert audio data from built-in earbud microphones into detailed, actionable insights for running performance.
Serving as an AI Quant at a finance-focused start-up currently in stealth mode with operations spanning the US. Contributing to the development of advanced machine learning solutions for financial applications. The role involves leveraging expertise in AI, quantitative modeling, and software development to create real-time, data-driven insights that drive.
Heraklion, Crete, Greece
As an Associate Research Scientist at ICS-FORTH, I contributed to several EU Horizon 2020 projects, including SEMIoTICS, CyberSANE, AI4HEALTHSEC, and MARVEL, focusing on IoT interoperability, cybersecurity for critical infrastructures, privacy in healthcare systems, and data analytics for smart cities. I played a key role in delivering project reports.
Abu Dhabi Emirate, United Arab Emirates
Leveraged modern machine learning and deep learning techniques to provide comprehensive data analysis, management, and software development services across diverse business use cases. Projects included the development of solutions for Twitter event detection, user unmasking, and network traffic classification, delivering actionable insights to support key.
Brussels, Brussels Region, Belgium
Led and enhanced the company's R&D efforts by designing and implementing cutting-edge machine learning and AI algorithmic solutions for cybersecurity risk assessment. Proposed and developed state-of-the-art methodologies to identify and mitigate potential threats, significantly advancing the company's technological capabilities in the cybersecurity domain.
Delft Area, Netherlands
Led the design and evaluation of advanced compressive sensing algorithms for wideband acoustic source localization and separation as part of the "Acoustic Source Localization and Acquisition" project, funded by Google Inc. This innovative research culminated in a Google patent and a publication in a top-tier audio processing conference, demonstrating both.
Mountain View, CA
Partnered with Google to contribute cutting-edge research to the "Acoustic Source Localization and Acquisition" project. Focused on developing compressive sensing algorithms for wideband acoustic source localization and separation, aiming to deliver groundbreaking algorithmic solutions in acoustic signal processing. Collaborated closely with Google's audio.
Developed a room geometry estimation algorithm utilizing graph-based theory as part of the "Distributed Processing of Audio Signals" project. Played a significant role in authoring scientific reports, contributing to the project's research dissemination and documentation.
During my time as a Research Assistant at FORTH-ICS, I developed and optimized signal processing algorithms for several projects, including "DISFER: Distributed Sensor Systems for Emergency Response" and "Sparse Signal Modeling Applied in Speech Processing." I also contributed to the "Evaluation and Optimization of Stream Processing Systems in Demanding.
Sparse and low-rank techniques for robust speaker recognition and missing-feature reconstruction.
Multichannel Audio Modeling and Coding for Immersive Audio based on the Sinusoidal Model.
Diploma Thesis Title: Musical Genre Classification using Statistical Processing Methods.
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Christos Tzagkarakis works for BreezeLabs.
Christos Tzagkarakis is listed as Research Scientist at BreezeLabs.
AeroLeads has found 1 work email signal at @tudelft.nl for Christos Tzagkarakis at BreezeLabs.
Christos Tzagkarakis is based in Greece, Greece, Greece while working with BreezeLabs.
Christos Tzagkarakis has worked for Breezelabs, Stealth Fintech Startup, Ics-Forth, Oculus Technologies, and Focal Point Sprl.
You can use AeroLeads to view verified contact signals for Christos Tzagkarakis at BreezeLabs, including work email, phone, and LinkedIn data when available.
Christos Tzagkarakis holds Doctor Of Philosophy (Ph.D.), Computer Science, 9.33/10 from University Of Crete.
Christos Tzagkarakis is listed with skills including Research, Signal Processing, Matlab, Audio Processing, Speech Processing, Latex, Machine Learning, and Pattern Recognition.
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