📝 Teaching

Digital Media and Immersive Technologies

• (2026) Course responsible, 150, Design for Emerging Technologies (DET), 32pp, Stockholm University, Sweden.
• (2025) Course responsible, 150, Design for Emerging Technologies (DET), 15pp, Stockholm University, Sweden.
• (2024) Course co-responsible, 20h, Design for Complex and Dynamic Contexts (DCDC), 10pp, Stockholm University, Sweden.
• (2024) Course co-responsible, 100h, Design for Emerging Technologies (DET), 10pp, Stockholm University, Sweden.
• (2024) Course assistant, 30h, Immersive Environments (IM), 30pp, Stockholm University, Sweden.
• (2024) Course assistant, 30h, Transmedia, 30pp, Stockholm University, Sweden.
• (2020-2023) Lab: Building Virtual Reality Apps with Unity, Teaching Assistant, February, 20h. Part of the course Design for Emerging Technologies, Stockholm University, Sweden.

Data Science

• (2025) Course co-responsible, 50h, Project Management in Health Informatics, 40pp, DSV, SU, Sweden.
• (2025) Course responsible, 150h, Data Science for Health and Interaction Design (DSHI), 40pp, DSV, SU, Sweden.
• (2024) Course co-responsible, 60h, Project Management in Health Informatics, 40pp, DSV, SU, Sweden.
• (2024) Course assistant, 110h, Data Science for Health Informatics (DSHI), 80pp, DSV, SU, Sweden.
• (2020-2023)Lab: Data Mining with Python, Teaching Assistant, Aug-Oct, 140h, +600pp. Part of the course Data Mining in Computer and Systems Sciences, Stockholm University, Sweden.
• (2020-2023) Lab: Introduction to Data Mining with Python, Teaching Assistant, Mar-May, 75h, +120pp. Part of the course Data Sciences for Health Informatics, Stockholm University, Sweden.

Other Lectures and Seminars

• (2023) Prototyping Virtual Reality Applications in Unity, Invited Lecturer, Sep, (20h), 20pp. MSc students in Industrial Design, Umeå Institute of Design, Umeå, Sweden
• (2023) Introduction to Data Analytics and Artificial Intelligence, Invited Lecturer, June, (24h), 25pp. RUAV, Cali, Colombia (virtual)
• (2016) Microprocessors architecture, Course Leader, Feb-Jun. In BSc in Mechanical Engineering, Caldas University, Colombia.
• (2016) Application development with Unity, Course Leader, Feb-Jun. Vocational training in Visual Design, Unitécnica Manizales, Colombia.
• (2016) Introduction to databases, Course Leader, Feb-Jun. Vocational training in Computer Science. Unitécnica Manizales, Colombia.

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📜 Thesis Supervision

2026

• Antonio Jerkovic, Mixed Reality as a practical alternative to Second-Screen Phones in Football Viewing, MSc. Design for Immersive Technologies, DSV, SU.
• Florian Unger, Virtual Reality versus 2D Slice Tomography for Expert Ground Truth Annotation in Large-Scale Cosmology, MSc. Design for Immersive Technologies, DSV, SU.
• Isha Kunal Bhansali, Quantitative Evaluation of Post-hoc Explainable Artificial Intelligence Methods for Diabetic Retinopathy Classification, MSc. Health Informatics, Karolinska Institutet.
• Khachatur Dallakyan, AI-Based Prediction of Postoperative Outcomes Using Surgical and Clinical Data, MSc. Health Informatics, Karolinska Institutet.
• Naznin Akhtar, Mental Imagery Support Tools for Aphantasia, MSc. Health Informatics, Karolinska Institutet.
• Kaviya Palaniyappan, Evaluating User Interface Interventions to Counteract Automation Bias in Clinical Decision Support Systems, MSc. Health Informatics, Karolinska Institutet.
• Maria de Montmollin, AI Support for Psychotherapy Education: A Research Through Design Study with Psychology Professionals, AI for Health, DSV, SU.
• Weijia Li, Computer Vision for Automated Welfare Scoring of Pig Leg and Claw Injuries, AI for Health, DSV, SU.
• Kowshik Sarker, Evaluating Emotional Realism of AI-Generated Videos for Psychotherapy Education, AI for Health, DSV, SU.
• Minyi Luo, Live Battery Parameter Optimization using Reinforcement Learning, AI for Health, DSV, SU.
• Mengfei Wang, Benchmarking Physiological and Affective Time-Series Classification, MSc. Computer Science, DSV, SU
• Chang Liu, A System-Level Benchmark of Object Detection and Tracking Error Propagation in Public Traffic Monitoring, MSc. Computer Science, DSV, SU
• Åke Berg, Camera Tracking Synchronization Errors and Perceived Visual Realism in Real-Time Virtual Production, BSc in Digital Media, DSV, SU.

2025

• Kent Fredriksdotter, Interactive Explanations in Clinical Decision Support: A Comparative Study of Exploratory and Explanatory XUIs for Clinical Prediction Models, MSc. Health Informatics, Karolinska Institutet.
• Negin Soltani, Comparing Interaction Methods for Activating Conversational AI Assistants in Virtual Reality, MSc. Design for Immersive Technologies, DSV, SU.
• Nicklas Bourelius, Designing Immersive Tools for Exposure Therapy: Expert-Guided Development of VR/MR Applications for Acrophobia, MSc. Design for Immersive Technologies, DSV, SU.
• Zeinab Bagheri Fard, Enhancing Industrial Training through Situated Visualization in Augmented Reality, MSc. Design for Immersive Technologies, DSV, SU.
• Elias Bennaceur, Lucas Ahlnäs, Hands-On Audio: Exploring spatial audio and handtracking, BSc in Digital Media, DSV, SU.
• Aurelia Maria Ozora, Exploring Expert Perspectives on Designing an Augmented Reality (AR) Exergame for Dementia Patients: A Mixed Methods Study, MSc. Health Informatics, Karolinska Institutet.
• Yin Shea Lai, The application of Virtual Reality (VR) in dental education: A user’s perspective, MSc. Health Informatics, Karolinska Institutet.
• Shweta Prasad Ghaisas, The Role of Interactivity and Realism in Virtual Reality in Shaping Emotional Responses Towards Individuals with Autism Spectrum Disorder: A Mixed-Methods Approach, MSc. Health Informatics, Karolinska Institutet.

2024

• Maria Dodieva, Early detection of Alzheimer disease with the VR City Navigation game, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
• Johanna Ulrichs, The Virtual Body and Locomotion - Comparing the Effects of Different Locomotion Techniques on Embodiment and User Experience in Third Person Virtual Reality, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
• Elias Lundahl, Evaluating the impact of passthrough for XR-based meditation experiences, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
• Hoda Ismail, Exploring the Impact of Virtual Environment Factors on Stress Reduction in VR Meditation, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
• Aufar Tirta Firdaus, Explainable AI for Emotion Recognition: Interpreting Cardiovascular Data in Virtual Reality Users, MSc. Health Informatics, Karolinska Institutet, Sweden.
• Dogu Ziylan Uyar, Evaluating User’s Spatial Learning in Photo-Realistic Virtual Environments during Navigational Tasks in Extended Reality, MSc. Design for Immersive Technologies, Stockholm University, Sweden. (co-supervisor)
• Siyue Lu, Facilitating Location-Based Mixed Reality: The Applicability, Benefits, and Challenges of 5G Positioning, MSc. Design for Immersive Technologies, Stockholm University, Sweden. (co-supervisor)

2023

• Helén Han, Treatment Adherence in Digital Psychotherapy - Using Machine Learning to Predict Patient No-shows, MSc. Health Informatics, Karolinska Institutet, Sweden.
• Fan Zhang, Exploring the requirements for the design of virtual reality serious games to support people with dementia, MSc. Health Informatics, Karolinska Institutet, Sweden.
• Mi Zhang, Exploring how virtual material appearance with control-display ration drives the weight perception in VR within two-handed input, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
• Johan Ekman, Comparing learners’ engagement of VR and non-VR game for programming purposes, MSc. Design for Immersive Technologies, Stockholm University, Sweden.

2022

• Daniel Schulze, Explainability of personalized stress detection models from wearable-collectible physiological data, MSc. Health Informatics, Karolinska Institutet, Sweden. (co-supervisor)
• Divya Damodaran, Machine Learning for prediction of start and termination of Freezing of Gait in Parkinson’s Disease, MSc. Health Informatics, Karolinska Institutet, Sweden. (co-supervisor)
• Yujie Xiang, Understanding Heart Rate Responses to Detect Emotional Valence Using Interpretable Machine Learning, MSc. Health Informatics, Karolinska Institutet, Sweden. (co-supervisor)

2021

• Dana Kokey, Towards detecting arousal level from heart rate information in virtual reality 360-degree videos, MSc. Health Informatics, Karolinska Institutet, Sweden. (co-supervisor)
• Alborz Alipour, Outlier Detection in Stock Market Prediction through Anomaly Detection, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
• Samiiha Nalwooga, Knowledge distillation for building accurate plant classification models for mobile devices, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
• Mawada Hamad,The trade-off between performance and compression rate when applying knowledge distillation, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
• Ali Mussayab, Design requirements for Recruiting Contingent Café Baristas with Immersive Virtual Reality Simulations (IVRS): A design-based research approach, MSc. Design for Creative and Immersive Technologies, Stockholm University, Sweden. (co-supervisor)