I investigate how humans perceive and interact with the world through visuo-spatial & auditory and motion cues across naturalistic contexts—from social encounters to digital media. Integrating cognitive science, AI-driven analytics, and human-centered design, my work decodes the dynamics of attention, action understanding, and embodied interaction to reveal fundamental principles of event cognition.
Using multimodal data and mixed-model AI methods, I examine how cues like gaze, gesture, and speech collectively guide behavior in complex environments. This research drives development of intuitive technologies—from social robots that interpret human intent to AI systems that emulate human perception—while advancing human-centered cognitive technologies through interdisciplinary approaches.
Contributed to an interdisciplinary research confluence employing mixed-methods approaches to develop human-centered cognitive technologies with real-world impact.
Research focus:
Outcomes: 1 journal article (under review), 1 conference publication, 1 journal article (in-progress), plus dissemination through workshops and tutorials
My research explored multimodal event, visual, and biological motion perception in naturalistic and interactive contexts—such as moving images and embodied human activities.Over the course of my doctoral work, I have demonstrated:
Key Highlights:
Served across multiple terms as a Teaching Assistant and for one term as a Lecturer (Adjunkt) for undergraduate and graduate-level courses ,supporting both on-campus and online instruction. Responsibilities include:
Courses and Terms Taught:
Chaired the PhD Student Council, representing doctoral students in academic and administrative matters.
Supported the Interaction Lab & ASSAR Innovation Arena through programming, outreach, and technical training.
As a co-founding member of Cogsol, I supported the core team in shaping the service, business, and marketing strategies. My primary role involved developing client-facing case studies and translating client needs into actionable research insights and product directions.
Our work centered on understanding user behavior at the intersection of consumer psychology, behavioral economics, ergonomics, and design research. We explored how people interact with products and services—physically, cognitively, and culturally—to identify usability challenges and uncover functional opportunities. This involved deep consumer research, often using tools like eye-tracking to evaluate brand perception, packaging, and digital interfaces such as websites and mobile apps.
Across projects, we applied a mixed-methods approach combining ethnographic fieldwork, surveys, usability studies, interviews, A/B testing, and quantitative engagement metrics, all grounded in established literature.
Across stages: data analysis, modeling, and experimentation
Developed simulations for controlled research experiments
Experience with MoCap data and Qualisys systems
Experience with Pupil Labs, Gazepoint, and Tobii Pro systems
Designed and conducted several empirical studies
Advanced analytics for behavioral research datasets
Expertly transforms complex data into intuitive visuals
Talks, workshops, tutorials and peer-reviewed publications
Led cross-institutional and industry-client projects
Designed and taught courses at UG/PG level
Led PhD student council and academic initiatives
Led academic and company-client case studies
Organized workshops, talks and student gatherings
Led and managed full-cycle video and media productions
Wrote small scale scripts, screenplays, and storyboards
Edited short films using DaVinci Resolve and Vegas Pro
Created small scale 3D assets using Blender
Edited visuals using Photoshop, Lightroom and GIMP