Christos Tzagkarakis work email
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Christos Tzagkarakis personal email
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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.
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Advisor, Signal Processing & AiBreezelabs Oct 2024 - PresentZurich, SwitzerlandServing 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. -
Ai QuantStealth Fintech Startup Jul 2024 - PresentServing 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 decision-making in the financial sector. Responsibilities include designing innovative algorithms, training and evaluating models, and integrating them into production systems. Additionally, conducting research and presenting findings to bridge the gap between complex AI concepts and business needs. -
Associate Research ScientistIcs-Forth Feb 2018 - May 2024Heraklion, Crete, GreeceAs 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, authoring scientific publications, and collaborating with both industrial and academic partners to achieve project goals. Additionally, I supervised bachelor and doctoral students, guiding their academic development. My research achievements span a wide range of domains, such as attack detection in IoT systems, sound processing and classification, medical predictive analytics, explainable machine learning for Twitter analytics, and multi-variate time series forecasting. -
Ai Data ScientistOculus Technologies Sep 2022 - Apr 2023Abu Dhabi Emirate, United Arab EmiratesLeveraged 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 business decisions. -
Applied Ai Research ScientistFocal Point Sprl May 2021 - Sep 2022Brussels, Brussels Region, BelgiumLed 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. -
Postdoctoral ResearcherTu Delft Sep 2015 - Sep 2017Delft Area, NetherlandsLed 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 the novelty and the impact of the work. The project addressed fundamental challenges and made significant contributions to the acoustic signal processing domain. -
Research CollaboratorGoogle Sep 2015 - Aug 2017Mountain View, CaPartnered 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 research team to translate innovative concepts into practical solutions. This partnership resulted in a Google patent and recognition at a leading audio processing conference, showcasing the impact and novelty of the work. -
Research CollaboratorHuawei Technologies Apr 2016 - Jun 2016Developed 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. -
Research AssistantIcs-Forth Jul 2010 - May 2014During 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 Applications," enhancing performance in real-time data applications. In addition, I participated in the EU-funded "EU-MESH" project, which focused on dependable broadband access using MESH networks, and developed algorithms for the "Encoding and Transmission of Multi-Channel Audio" project to improve multi-channel audio processing and communication technologies.
Christos Tzagkarakis Skills
Christos Tzagkarakis Education Details
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9.33/10 -
7.33/10
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9.71/10
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8.00/10
Frequently Asked Questions about Christos Tzagkarakis
What company does Christos Tzagkarakis work for?
Christos Tzagkarakis works for Breezelabs
What is Christos Tzagkarakis's role at the current company?
Christos Tzagkarakis's current role is Research Scientist.
What is Christos Tzagkarakis's email address?
Christos Tzagkarakis's email address is ct****@****ail.com
What schools did Christos Tzagkarakis attend?
Christos Tzagkarakis attended University Of Crete, University Of Crete, University Of Crete, University Of Crete.
What skills is Christos Tzagkarakis known for?
Christos Tzagkarakis has skills like Research, Signal Processing, Matlab, Audio Processing, Speech Processing, Latex, Machine Learning, Pattern Recognition, C, Algorithms, Computer Science, Simulations.
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