Archives: Speakers

Post Type Description

Nikos Spanos

@ Big Data Engineer at Incelligent, MSc Business Analysis

I am an accomplished professional with a comprehensive background spanning Data Science, Big Data Engineering, and a strong aspiration for roles in Machine Learning and Software Engineering. With a solid foundation of two years as a Data Scientist at EY Greece and an additional two years as a Big Data Engineer, I have honed my expertise in leveraging data to drive business growth and innovation. My core focus is on creating applications that not only enhance business value but also effectively harness existing data resources.

My ambition lies in becoming a proficient Machine Learning Engineer and Software Engineer, where I can amalgamate my analytical acumen with a knack for building innovative solutions. I am driven by a commitment to craft predictive models, employing cutting-edge algorithms to solve intricate business challenges. My aspiration also extends to software development, where I seek to engineer user-centric applications that seamlessly integrate with existing systems, ultimately propelling organizational efficiency and growth.

Agis Georgiou

@ Mechanical Engineer, AI Catalyst Member

Digital Transformation & Data Analytics Expert

Efthimis Vaiopoulos

@ Physisist, MSc Inf. Systems, ML/DL Specialist, AI Catalyst Member

Specialties (25 years of experience):
– ML/DL/AI engineering with a strong focus in Computer Vision.
– Building intelligent software components to provide solutions that improve processes/products.
– AI software/application integration in ICT systems (from problem understanding to model training to final deployment and production).
– Data Science & Business Intelligence (traditional DWH/ETL/BI infrastructure design).
– Information Systems Engineering (Analysis, Design, Integration, Testing, Deployment).
– Data/Process Engineering & Business Analysis.
– ICT Project Management.

ML/DL applications:
– Computer Vision applications like faults optical detection (with tensorflow and other DL frameworks).
– Pattern discovery in health-care (custom Python implementation using numpy & other packages).
– Systems logging analysis (with SciKitLearn and Python).
– CRM & logistics data-mining applications (SPSS & R implementations).
– Web tools for applying Statistics & ML on custom datasets (in R).

ML/DL sources (indicative list):
– Deep Learning & Machine Learning books, like the Hands on ML book by Geron, 2019, 2022.
– Deep Learning tutorials & notebooks (from Kaggle and several other blogs), scientific papers & MOOCs.
– Tensorflow, Pytorch and other DL frameworks tutorials & notebooks.
– Data Science and Data Analysis books, tutorials & notebooks.
– Python packages documentation for DL, ML and DS.
Older sources (indicative list):
– Boosting: Foundations and Algorithms (Schapire, Freund, MIT Press, 2014).
– An Introduction to Statistical Learning with R (Hastie et al, Springer, 2013).
– R & R Studio tutorials and documentation.
– Applied Predictive Modeling (Kuhn, Johnson, Springer, 2013) .
– The Elements of Statistical Learning (Hastie et al, Springer, 2009).
– Pattern Recognition and Machine Learning (Bishop, Springer, 2007).
– Introduction to Data Mining (Tan et al, Pearson, 2005).
– Data Mining, Practical Machine Learning Tools and Techniques (Whitten, Kaufmann, 2004).
– Mastering Data Mining (Berry & Linoff, Wiley, 1999).My job as a ML/DL Engineer is to support companies and Organizations with the appropriate tools and knowledge that will allow their teams build intelligent software components and integrate them into current ICT infrastructure. Specialties (25 years of experience): – ML/DL/AI engineering with a strong focus in Computer Vision. – Building intelligent software components to provide solutions that improve processes/products. – AI software/application integration in ICT systems (from problem understanding to model training to final deployment and production). – Data Science & Business Intelligence (traditional DWH/ETL/BI infrastructure design). – Information Systems Engineering (Analysis, Design, Integration, Testing, Deployment). – Data/Process Engineering & Business Analysis. – ICT Project Management. ML/DL applications: – Computer Vision applications like faults optical detection (with tensorflow and other DL frameworks). – Pattern discovery in health-care (custom Python implementation using numpy & other packages). – Systems logging analysis (with SciKitLearn and Python). – CRM & logistics data-mining applications (SPSS & R implementations). – Web tools for applying Statistics & ML on custom datasets (in R). ML/DL sources (indicative list): – Deep Learning & Machine Learning books, like the Hands on ML book by Geron, 2019, 2022. – Deep Learning tutorials & notebooks (from Kaggle and several other blogs), scientific papers & MOOCs. – Tensorflow, Pytorch and other DL frameworks tutorials & notebooks. – Data Science and Data Analysis books, tutorials & notebooks. – Python packages documentation for DL, ML and DS. Older sources (indicative list): – Boosting: Foundations and Algorithms (Schapire, Freund, MIT Press, 2014). – An Introduction to Statistical Learning with R (Hastie et al, Springer, 2013). – R & R Studio tutorials and documentation. – Applied Predictive Modeling (Kuhn, Johnson, Springer, 2013) . – The Elements of Statistical Learning (Hastie et al, Springer, 2009). – Pattern Recognition and Machine Learning (Bishop, Springer, 2007). – Introduction to Data Mining (Tan et al, Pearson, 2005). – Data Mining, Practical Machine Learning Tools and Techniques (Whitten, Kaufmann, 2004). – Mastering Data Mining (Berry & Linoff, Wiley, 1999).

Gerry Marketos

@ Co-Founder & Managing Director, GALENICA.ai

Jorge Sanchez

@ CSFO, Corallia | President, si-Cluster

George Megas

@ EIT Health HUB GR & Horizon Europe NCP Coordinator

I am the Coordinator of the Horizon Europe National Contact Points’ team at EKT & lead NCP for Cluster 4 (Digital, Industry, Space) appointed by GSRI & E.C. I also hold the position of the EIT HEALTH HUB Coordinator for Greece since 2017 having supported more than 45 startups and 500 students, creating a robust health Innovation ecosystem and running the first Startup-Hospital accelerator: SymbIASIS. I am an EU RnI project manager and a Twin Transition expert, member of the EC Digital Innovation Hub experts’ group. I was the National Contact Point/Expert for ICT & EIC Pathfinder in Horizon 2020 since 2016. I am the vice chair of the Digital sector group of the Enterprise Europe Network acting as an Innovation & Technology Transfer Advisor with one of the highest record in Partnership Agreements achieved for 2017-2019.
My headquorters is the National Documentation Center.

I hold an MSc degree in Industrial Management & Technology from the interdepartmental MSc program of the Polytechnic School of Athens & the University of Piraeus. My first degree was in Agricultural Engineering.
I have versatile knowledge in the Tech SME sector, Medtech, DigitalHealth, Agtech & the natural environment with expertise in Geographic Information Systems & Decision Support Systems.

Being sociable and having knowledge about various subjects, scientific and other, combined with my enthusiasm and my analytical skills, helped me coordinate work teams with ease, get in the source of each task under analysis & elicit productive results.
Through my career as a Business consultant & H2020 Expert, I gained experience in the access-to-finance area, Innovation Project Management, TechnologyTransfer, Business Planning and Marketing in an international environment.
The monitoring of international trends & EU policies in my field and my continuous training brings in ideas that are innovative for any market.

Manos Macromallis

@ Chief Executive Officer, Excelon | President, SEKEE

I am a strategic, outcome-focused senior executive with over 20 years of experience in business, product development, and operations, leading growth and innovation in the competitive and dynamic financial services industry. As the CEO of Excelon, a regulated BaaS provider that offers advanced digital money services, including FIAT payment accounts, Mastercard, Crypto Wallet, and Exchange, I bring a real revolution in digital money by simplifying the customer experience and offering a complete mobile banking solution for individuals and businesses.

I have a strong track record of delivering reliable solutions to customers, increasing revenues, and achieving operational excellence using my analytical skills, entrepreneurial curiosity, and cooperative philosophy. I also have extensive experience and knowledge in the telecom and SaaS sectors, where I held several C-level positions and developed innovative solutions and traction for startups.

Additionally, I serve as the President of SEKEE, a non-profit association of high-tech companies.

Dimosthenis A. Sarigiannis

@ Board Chairman National Hellenic Research Foundation

Theodora Sikara Lekaki

@ JANZZ TECHNOLOGY Development Manager

Nicholas Kokkinos

@ Senior Digital Marketing Expert

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