Prof. Dr. Michael Polemis | Digital Forensics | Best Researcher Award

Prof. Dr. Michael Polemis | Digital Forensics | Best Researcher Awardย 

Prof. Dr. Michael Polemis, University of Piraeus, Greece

Michael L. Polemis is a Professor of Industrial Economics at the University of Piraeus, Greece, where he has held various academic positions since 2014. He is also a Full Member of the Board at the Hellenic Competition Commission since March 2023. Polemis holds a Ph.D. in Economics from the National and Kapodistrian University of Athens, with research focused on taxation and energy demand. His academic interests include industrial organization, energy economics, competition policy, and environmental economics. He has published numerous studies on economic trends and sectoral studies, particularly in Greece, and has extensive experience in both teaching and policy advising.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Suitability for Best Researcher Award

Michael L. Polemis appears to be highly suitable for the Best Researcher Award based on his impressive academic and professional background. His qualifications, including a Ph.D. in Economics and extensive teaching experience in industrial economics, energy economics, and competition policy, make him a strong candidate. As a full professor and full member of the Hellenic Competition Commission, his expertise is highly relevant to current research in industrial organization, energy economics, and environmental economics.

Education ๐ŸŽ“:

  • Ph.D. in Economics
    National and Kapodistrian University of Athens (UOA), Athens, Greece (2006)
    Thesis: “The impact of taxation on the adaptation of energy demand to the Kyoto targets: Empirical analysis for Greece.”
    Committee: Vassilis Rapanos (Supervisor), George Mergos, Andreas Papandreou

  • M.Sc. in Applied Economics and Economic Policy (Honors)
    Panteion University of Athens, Athens, Greece (2001)

  • B.A. in Economics and Regional Science (Honors)
    Panteion University of Athens, Athens, Greece (1999)

Work Experience ๐Ÿ’ผ:

  • Professor of Industrial Economics (January 2025 – Present)
    Department of Economics, University of Piraeus, Greece

  • Full Member of the Board
    Hellenic Competition Commission (March 2023 – Present), Athens, Greece

  • Tenured Assistant Professor of Industrial Economics (April 2019 – January 2025)
    Department of Economics, University of Piraeus, Greece

  • Adjunct Assistant Professor of Industrial Economics (November 2015 – March 2019)
    Department of Economics, University of Piraeus, Greece

  • Adjunct Lecturer of Industrial Economics (July 2014 – October 2015)
    Department of Economics, University of Piraeus, Greece

  • Deputy Member of the Board
    Hellenic Competition Commission (April 2017 – March 2023), Athens, Greece

  • Head of Unit Eฮ„/ Operational Directorate Bโ€™
    Hellenic Competition Commission (March 2007 – July 2014), Athens, Greece
    Responsible for business sectors: Energy, Telecommunications, Postal Services, and more.

  • Teaching Assistant
    University of Piraeus, Department of Economic Studies, Greece (2008 – 2010)

  • Economist Scientific Expert
    Hellenic Competition Commission (December 2004 – March 2007), Athens, Greece

  • Public Sector Consultant
    TEMAGON S.A, Marousi, Greece (September 2004 – December 2004)

  • Head of Sectoral Unit, Department of Industrial Organisation
    Foundation for Economic and Industrial Research (ฮ™ฮŸฮ’ฮ•), Athens, Greece (November 2003 – May 2004)

  • Research Assistant
    Foundation for Economic and Industrial Research (ฮ™ฮŸฮ’ฮ•), Athens, Greece (January 2001 – February 2003)

  • Teaching Assistant
    University of Athens, Department of Economic Policy and Applied Economics (MSc), Athens, Greece (2000-2002)

Achievements ๐Ÿ†:

  • Scholarship Awardee
    B.A. and M.Sc. Scholar, National Scholarships Foundation, Greece (1996-2001)

  • Published Studies and Research

    • Co-authored sectoral studies on various industries such as clothing, basic metal, timber, bakery products, and the hotel market in Greece.

    • Published “Trends and prospects in Greek industry sector (1994-2000)” and “Trends and prospects in private consumption expenditure in Greece.”

  • Mimeographs and Monographs
    Authored significant research papers on topics including exchange rates, financial innovations, and environmental policy.

Awards and Honors ๐Ÿฅ‡:

  • National Scholarships Foundation: B.A. and M.Sc. Scholar (1996-2001)

Publicationย Top Notes:

What Determines Cartel Duration? Global Evidence Using Quantile Regression Analysis

On Microservice-Based Architecture for Digital Forensics Applications: A Competition Policy Perspective

Club convergence of sustainable development: fresh evidence from developing and developed countries

Does markup regulation restrict price hikes? Evidence from the oil industry

The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin

Ms. Yuri Kim | Data Monitoring | Best Researcher Award

Ms. Yuri Kim | Data Monitoring | Best Researcher Awardย 

Ms. Yuri Kim, Korea University, South Korea

Yuri Kim is a Ph.D. candidate in Computer Science at Korea University, Seoul, South Korea, where she has been conducting research since September 2020 as a recipient of the ICT Elite Talent Development Program Scholarship. She holds a B.Sc. and M.Sc. in Computer Science from Eรถtvรถs Lorรกnd University, Budapest, Hungary, where she graduated with distinction under the Stipendium Hungaricum Scholarship. Yuri has extensive experience in both academia and industry, having served as a lecturer at Korea University Graduate School of Education and Eรถtvรถs Lorรกnd University, teaching advanced data structures and functional programming. She has also worked as a project manager at The Mihalik Group, leading the development of in-house business automation software, and as a student backend developer at Ericsson. Her research interests span natural language processing, machine learning, and financial modeling, with notable publications on stock trading recommendation systems, serendipity-based recommender systems, and Linked Open Data structures. She has been actively involved in entrepreneurial ventures, participating in the 2024 Korean I-Corps Program and the 2023 Innovation Startup School, focusing on AI-driven solutions. Proficient in Python, C, Go, and Clean, Yuri combines her expertise in programming with strong project management skills in Agile and Scrum methodologies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Yuri Kim is an exceptional researcher in computer science, artificial intelligence, natural language processing (NLP), and recommender systems, demonstrating a strong academic and professional background. Her diverse expertise, high-impact research contributions, and interdisciplinary approach make her a highly suitable candidate for the Best Researcher Award.

๐ŸŽ“ Education

๐Ÿ“ Korea University, Seoul, South Korea
๐Ÿ”น Ph.D. Candidate in Computer Science (2020.09 – Present)
๐Ÿ”น ๐ŸŽ–๏ธ Recipient of ICT Elite Talent Development Program Scholarship
๐Ÿ”น ๐Ÿซ Research Assistant

๐Ÿ“ Eรถtvรถs Lorรกnd University, Budapest, Hungary
๐Ÿ”น B.Sc. & M.Sc. in Computer Science (Integrated Program) (2016.09 – 2019.08)
๐Ÿ”น ๐Ÿ“Š GPA: 4.28 / 4.5 (Master’s) | 4.48 / 4.5 (Bachelor’s)
๐Ÿ”น ๐ŸŽ–๏ธ Recipient of Stipendium Hungaricum (Hungarian Government Scholarship)

๐Ÿ’ผ Work Experience

๐Ÿ“ The Mihalik Group, Chicago, IL (Remote)
๐Ÿ”น Project Manager (PM) (2023.08 – 2024.07)
๐Ÿ”น ๐Ÿ—๏ธ Developed in-house business automation software
๐Ÿ”น ๐Ÿ“… Planned & designed project phases, coordinated schedules
๐Ÿ”น ๐Ÿ” Managed resources & monitored project performance

๐Ÿ“ Korea University Graduate School of Education, Seoul, South Korea
๐Ÿ”น Lecturer โ€“ Advanced Data Structures (2022.09 – 2023.02)
๐Ÿ”น ๐Ÿ–ฅ๏ธ Delivered lectures on Data Structures & Algorithms
๐Ÿ”น ๐Ÿ“ Designed quizzes, assignments, exams & projects
๐Ÿ”น ๐Ÿ“š Developed instructional materials

๐Ÿ“ Eรถtvรถs Lorรกnd University, Budapest, Hungary
๐Ÿ”น Lecturer โ€“ Functional Programming (Clean Language) (2018.02 – 2019.02)
๐Ÿ”น ๐Ÿ›๏ธ Taught Clean Functional Programming
๐Ÿ”น โœ๏ธ Designed evaluations, assignments, exams & projects
๐Ÿ”น ๐Ÿ“– Created instructional materials

๐Ÿ“ Ericsson, Budapest, Hungary
๐Ÿ”น Student Backend Developer (2018.09 – 2019.01)
๐Ÿ”น โš™๏ธ Developed & evaluated performance test cases using C
๐Ÿ”น ๐Ÿ› ๏ธ Updated codebase to align with modern standards
๐Ÿ”น ๐Ÿ” Conducted code reviews & refactoring

๐Ÿ† Awards & Honors

๐Ÿ”น 2024 Korean I-Corps Program ๐Ÿš€

  • AI-Based Personalized Makeup Consulting
    ๐Ÿ”น 2023 Innovation Startup School ๐Ÿ…
  • AI-Based Celebrity Memorabilia Donation & Auction Platform

๐ŸŽ–๏ธ Achievements

๐Ÿ“Œ Publications & Research ๐Ÿ“š
๐Ÿ”น Developed a Rule-Based Stock Trading Recommendation System ๐Ÿ“ˆ
๐Ÿ”น Designed a Serendipity-Incorporated Recommender System ๐Ÿค–
๐Ÿ”น Implemented a Linked Data Visualization System ๐Ÿ”—
๐Ÿ”น Proposed methods for Enhancing Linked Open Data (LOD) ๐Ÿ› ๏ธ
๐Ÿ”น Researched Interdisciplinary Applications for Functional Programming ๐ŸŽจ
๐Ÿ”น Compared Clean vs. C Programming for Education ๐Ÿ’ป
๐Ÿ”น Explored Distributed Computation Patterns in Go & RabbitMQ โ˜๏ธ

๐Ÿ“Œ Projects ๐Ÿ”
๐Ÿ”น SEC 13D/G & 13F Report Tracking Platform (2024.12) ๐Ÿ“Š
๐Ÿ”น Text-to-Speech-Based Audiobook Auto-Generation (2024.12) ๐ŸŽ™๏ธ
๐Ÿ”น AI Avatar-Based Motion Slide Auto-Generation (2024.12) ๐Ÿ–ผ๏ธ
๐Ÿ”น DART Stock Large Shareholder Report Crawling System (2024.10) ๐Ÿ“‘

Publicationย Top Notes:

A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators

Introduction to programming Using Clean