Alex Kaiserlis

Hi there...

A few things about me: I am passionate about the intersection of Artificial Intelligence, Robotics, and Education. I have extensive experience in creating modern learning experiences, conducting research, and coaching robotics teams, with whom we’ve earned several awards. My goal is to use technology to make a meaningful impact.

I am fascinated by technology and its potential to make a significant contribution to society. My experiences range from exploring AI in Education and applying machine learning to working on issues regarding the ethical dimensions of technological appllications.

Furthermore, in my role as an education expert, I have led research projects that apply technology to enhance learning and benefit our lives.

Establishing Instudies, a school for computer science and robotics, allowed me to develop modern and innovative learning curricula for students of all ages and abilities, and put me in a position to be able to understand how important it is to promote inclusion and equity and create tools that can have a purposeful and tangible impact. My aim is to conduct innovative research that advances education and to develop human-centered and AI-driven decision-making models that genuinely benefit our world.

UPDATES

Update: Conference Paper Accepted at AIAI 2026

Zero-shot Multi-label Text Classification Using Encoder-Decoder Models: This paper proposes a novel encoder-decoder architecture that leverages LLM-generated descriptions to improve text classification for new categories without requiring training data.

Update: Conferece Paper Accepted at AIAI 2026

Human-in-the-Loop Legal Named Entity Annotation with LLM Assistance: This work introduces a semi-automated system utilizing LLMs as assistants to rapidly and accurately create legal NER datasets, such as the enhanced Greek GLN v2.

Update: Conference Paper Accepted at ICAIL 2026

Multi-label Legal Text Classification Using Enriched Label Descriptions: This study utilizes Large Language Models to enrich legal label descriptions, significantly boosting the performance of existing zero-shot classification methods.

Update: Conference Paper Accepted

Our paper, “AI for Health Equity through STEM Education: Introducing HealthBot, an Innovative Student-Developed Kiosk,” has been accepted for presentation at the 14th Panhellenic Conference on ICT in Education following a peer-review process.

RESUME

EXPERIENCE

2026

University of the Aegean

PhD Candidate - Information Retrieval from Legal Documents using NLP & ML methods

2026

2025

University of the Aegean

Research Associate - Legal Documents Classification/Information Retrieval using NLP & ML methods

2025

2023

Council of Europe

AIED Expert Consultant

2023

2021

Council of Europe - Youth Department

AIED Experts Group Member

2021

2015

Instudies

Founder, Educator & Curriculum Designer

2015

2011 - 2014

Georama

Geographic Information System Specialist

2011 - 2014

EDUCATION

2024

University of the Aegean

MSc, Internet of Things: Intelligent Environments in Next Generation Networks

2024

2013

Hellenic Mediterranean University (formerly TEI of Crete)

BSc, Computer Science

2013

RESEARCH & ENGAGEMENT

2025, October (Conference Paper): AI for Health Equity through STEM Education: Introducing HealthBot, an Innovative Student-Developed Kiosk

This paper, accepted for presentation at the 14th Panhellenic Conference on ICT in Education following peer review, presents HealthBot as a case study in applying Project-Based Learning (PBL) within a STEM education framework. It details the educational journey of a high school student team that designed and developed a functional AI-powered health kiosk to address local health equity challenges. The work highlights how student-led innovation can foster advanced technical skills while providing tangible solutions for community well-being.
2025, July Expert Advisor & Panelist – Stanford/Close Up/Google DeepMind Youth & AI Deliberative Poll

Participated in a landmark deliberative poll on Youth Perceptions of AI. My role involved co-shaping the official briefing materials as part of the Expert Advisory Committee and serving as an Expert Panelist for the session on “AI for Personal and Social Growth: Social-Emotional Advice, Companionship, and Safety”.
2025 ( Publication Pending): Leveraging Large Language Models to Advance Assessment Paradigms - Introducing Bright E.V.A: The First E.V. (Evaluation Virtual) Assistant

This paper introduces Bright E.V.A., an innovative AI assessment model using LLMs and GenAI to integrate in-person and electronic data, enhancing educational evaluations for adaptivity and holistic student profiling. Pilot studies show improved engagement and personalized learning, while addressing challenges like bias and data privacy click for graphical abstact click for more.
2025 (Publication Pending): AI for Health Equity: Introducing HealthBot, an Advanced Kiosk for Supporting Underserved Areas

HealthBot is an innovative, AI-powered health kiosk developed by high school students to enhance health equity in remote Greek islands by providing accessible initial health insights using diverse sensors, CV & ML algorithms and an LLM for personalized, non-diagnostic wellness advice. The project demonstrates a feasible model for community health. click for graphical abstact
2025: Organizer / Moderator - Deliberation Poll on AI&ED with students and teachers.

Stanford Deliberation Democracy Poll, in Kos Island. Discussions around AIED and its application and regulation on schools
2025: Expert Panelist, Mis & Disinformation Deliberative Poll, US Berkeley

Deliberative poll on “Misinformation/Disinformation on Social Media and Online Platforms,” with postgraduate/doctoral students. Provided expert insights on AI’s role in disinformation, discussing online bots, the need for objective educational content, multi-stakeholder collaborations, and risks of filter bubbles.
2024: Master Thesis: Authorship Verification: Impostors method Using Large Language Models for Impostor Creation

This thesis explores the Impostors Method for authorship verification, where comparison texts from multiple ‘impostor’ authors are used to evaluate stylistic similarity. We extend this approach using large language models to generate synthetic impostor texts, to improve robustness in author identity verification.
2024: 2nd Working Conference on AI&ED (Strasbourg, France), AI ED Expert & Workgroup Co-chair.

Explored aspects of the application of an AI regulatory framework. Co-chaired a workgroup on mitigating the digital (AI) divide, focusing on how to ensure that technology serves as a bridge rather than a barrier to equitable access
2024: ISTE Live 24 (Denver, Colorado), Research Paper Presentation

Title: “Leveraging Large Language Models to Advance Assessment Paradigms – Introducing Bright E.V.A: The First E.V. (Evaluation Virtual) Assistant”
2023: Hellenic Women Association (EGE), Keynote Speaker

Presentation about how AI is changing the workplace.
2023: Svourenio (Special Needs School) Event Seminar on Inclusive Education, Keynote Speaker.

Presentation Title: “Pedagogy is the Driver, Technology is an Accelerator.” Shared experiences and insights from working on an inclusive program for children with special needs.
2021 "AI: how can youth take part?" workshop on Global Classrooms

Presented the idea of Global classrooms for Teaching Computer Science & ΑΙ.

MEDIA

ChatGPT vs. DeepSeek: Which Artificial Intelligence Comes Out on Top?

AIED Deliberation, Kos Island

Sentiment analysis examined.

CV Object Detection Algorithm presentation

The Dangers of Children's Exposure to Social Media

How Computers Learn

What is ChatGPT?

AI-generated Ghibli-style images. Turning photos into anime.

INSTUDIES

Instudies (www.instudies.gr) has been my home for the last (current_year – 2016) years. We’ve had some amazing moments during all those years, met some great people, and ‘went places’ (no pun intended). I’m really excited to share some of those awesome memories.