Talks, conference presentations, workshops, and media appearances where I share my expertise in AI.
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Conducted a hands-on 3-hour workshop teaching participants how to create stunning AI-generated images and videos for social media, transitioning from zero to professional visual content using the latest AI tools.
Invited talk on Composite AI methods for automated detection of behavioral markers in children with Autism Spectrum Disorder during ADOS-2 assessments.
Conducted a hands-on deep learning workshop covering practical implementation of neural networks, from fundamentals to real-world applications.
Presented two papers on automated behavior analysis during ADOS-2 assessments using Composite AI: "Examining Object Play Initiation Delays" and "Automated Detection of Play Behavior."
Presented research on automated detection and analysis of delayed object play during the ADOS-2 Make-Believe Play Task at the BOSCH Best meetup.
Presented research on detecting hand-object interaction and child play behaviors in ADOS-2 assessment videos at the Hungarian National AI Conference (MILAB).
Won 1st Place for research on AI-driven behavior analysis in children with Autism Spectrum Disorder during ADOS-2 assessments.
Presented "Composite AI for Behavior Analysis in Social Interactions" at the companion proceedings of the 25th International Conference on Multimodal Interaction.
Participated in the Jelinek Summer Workshop focused on "Automatic design of conversational models from observation of human-to-human conversation."
Received a Special Award for research presentation on AI applications in neurodevelopmental disorder detection.
Presented the DeepRehab project on robot-assisted physical rehabilitation using real-time pose estimation at the BOSCH Conference.
Delivered a talk on Modern AI, covering the latest developments and real-world applications of artificial intelligence.
Presented "DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation" at the 30th International Conference on Artificial Neural Networks.
Defended MSc thesis on real-time deep pose refinement on edge devices for physical rehabilitation applications.
Developed and demonstrated a proof of concept for a face mask detector system to ensure the safety of Nokia employees during the COVID-19 pandemic.
Defended BSc thesis on GDNet, a gaze direction network for eye tracking and attention estimation using deep learning.
Johns Hopkins University — JSALT Workshop
My presentation at the Frederick Jelinek Memorial Summer Workshop on Speech and Language Technology, covering our work on composite AI for behavior analysis.
YouTube
My channel where I break down AI concepts, share tutorials, and discuss the latest in machine learning and computer vision.
I'm available for panels, keynotes, and interviews on AI, machine learning, and neurodevelopmental disorder detection.
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