Events & Seminars | Applied AI Lab

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Past Events

Scientific Seminar: Hybrid Intelligence in Education: Preparing Higher Education Students for an AI-Integrated Future

Speaker: Assoc. Prof. Andy Nguyen Profile: Andy Nguyen is an Associate Professor in Hybrid Intelligence: Human-AI Co-evolution and Learning in Multi-realities (HI) interdisciplinary profiling project, working at the Learning & Educational Technology (LET) Research Lab, Faculty of Education and Psychology at the University of Oulu, Finland. He also holds the Research Council of Finland (a.k.a. Academy of Finland) Research Fellowship and the title of Docent (Adjunct Professor) in Applied Artificial Intelligence at the Faculty of Information Technology and Electrical Engineering (ITEE) at the same university. His work has achieved strong international visibility, with recognition as a top-cited and most-read author in 2025 in leading journals including Studies in Higher Education, British Journal of Educational Technology, and Information and Learning Sciences. He has been an editorial board member of British Journal of Educational Technology, an editorial advisory board member of Artificial Intelligence in Education (Emerald), an associate editor of the Digital Learning and Pedagogy Track at ICIS, an associate editor of the Journal of Policy Futures in Education, and Behaviour & Information Technology. He was listed among the world's top 2% of researchers in the 2025 Stanford University–Elsevier global ranking. Andy Nguyen is the recipient of the IEEE TCLT Early Career Researcher Award in Learning Technologies (2025), recognizing his significant contributions to advancing research at the intersection of AI and learning.

Aug 4,02:00 PM - 04:00 PM

Seminar Space, 23rd Floor, Building A9, Phenikaa University

Lecturers, students

Professional Seminar: Does AI Really "Understand" Humans?

In an era where large language models like ChatGPT, Gemini or Claude are becoming increasingly popular, a very interesting question is: Do AI systems really understand language, or are they just simulating comprehension through statistical samples? In order to bring a profound academic perspective on this issue, Phenikaa School of Information Technology organizes a scientific seminar with the topic: ✨ Do AI Systems Really Understand? Common Sense, Language, and What LLMs Can (and Cannot) Do The seminar will focus on discussing the capabilities of large language models in aspects often associated with human cognition such as: common sense reasoning, social cognition, and self-related language. Through the Machine Psychology approach, the speaker will share how to evaluate these capabilities, and point out cases where AI demonstrates convincing cognitive behavior, but also has certain limitations. 🎙 Speaker: Prof. Pietro Perconti Philosophy of Mind, Department of Cognitive Science, University of Messina, Italy ⏰ Time: 2:00 p.m. - 4:00 p.m., Tuesday, May 12, 2026 📍 Location: Seminar space, Phenikaa School of Computing, Floor 23 - A9 The seminar promises to open up many interesting discussions about artificial intelligence, language, perception and the boundary between "simulation" and "understanding" in today's AI systems. Sincerely invite interested teachers, researchers, practitioners and students to attend!

May 12,02:00 PM - 04:00 PM

Seminar space, Phenikaa School of Computing, Floor 23 - A9

Interested lecturers, researchers, practitioners and students

[Seminar] AI-Driven MPQUIC Scheduling: Model Design, Simulation, and Real-World Deployment

Phenikaa School of Computing is pleased to announce the seminar “AI-Driven MPQUIC Scheduling: Model Design, Simulation, and Real-World Deployment” presented by Prof. Kien Nguyen (Chiba University, Japan). In the era of 5G and beyond, Multipath QUIC (MPQUIC) enables devices to leverage multiple wireless networks simultaneously, significantly improving network throughput and reliability. However, its performance strongly depends on the scheduler, which dynamically selects the best transmission path. This seminar will introduce how AI-driven techniques can optimize MPQUIC scheduling, covering the full pipeline from model design and simulation to real-world deployment and performance evaluation. Speaker: Prof. Kien Nguyen – Associate Professor at Chiba University, Japan, with over 20 years of experience in communication networks. His research focuses on next-generation networks, multipath transport protocols, IoT connectivity, and AI-driven network optimization. He has published 160+ peer-reviewed papers in leading IEEE/ACM journals and conferences. 🕤 Time: 9:30 – 11:00 AM, Tuesday, March 17 📍 Venue: 23rd Floor, Building A9 – Phenikaa School of Computing Students and researchers interested in networking, AI, and distributed systems are welcome to join.

Mar 17,09:30 AM - 11:00 AM

23rd Floor, Building A9 – Phenikaa School of Computing

Students, practitioners and researchers interested in communication networks, network protocols, artificial intelligence