M. Sc. Albin Zeqiri
M. Sc.
Albin
Zeqiri
PhD Research Assistant
Albin Zeqiri, M.Sc.
Albin Zeqiri joined the HCI-Group of Ulm University in 2022 as a research associate and PhD student.
Albin holds a B.Sc (2020) M.Sc. (2022) in Computer Science from Ulm University. In his master thesis he implemented a concept for automated thermal comfort state recognition in automated vehicles. His master thesis was titled: Interaction in the Automated Vehicle: AI-based Thermal Comfort State Recognition.
Research Interests
- Sustainability in HCI
- Augmented Reality
- Virtual Reality
- Machine Learning
Teaching
- Seminar Research Trends in Media Informatics (WT22/23)
- Project User-Centered Design Thinking (WT22/23)
I offer theses topics with a focus on sustainability through interaction design or hardware design. I am always open to your suggestions for topics in this area.
Please contact me via email if you are interested, or drop by my office.
I am already looking forward to our cooperation.
Theses Topics:
Seeing through the Haze: Preventing Perceptual Manipulations in Mixed Reality
Driving Change: Approaches to Support Green Mobility Habits
You can find more theses topics by following this link.
Publikationen
2024
3.
A. Zeqiri,
P. Jansen,
J. O. Rixen,
M. Rietzler and
E. Rukzio,
"'Eco Is Just Marketing': Unraveling Everyday Barriers to the Adoption of Energy-Saving Features in Major Home Appliances",
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT),
vol. 8,
no. 1,
pp. 27,
Mar.
2024.
ACM.
| DOI: | 10.1145/3643558 |
| File: | /fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2024/IMWUT24_Eco_Is_Just_Marketing.pdf |
2.
M. Colley,
S. Hartwig,
A. Zeqiri,
T. Ropinski and
E. Rukzio,
"AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles",
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT); Joint First Authors,
2024.
ACM.
| DOI: | 10.1145/3678503 |
| File: | /fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2024/IMWUT2024_Thermal_Comfort_final_preprint.pdf |
1.
A. Zeqiri,
M. Rietzler and
E. Rukzio,
"Exploring Contextual Feature Combinations for Prediction of Subjective Thermal Perceptions"
in Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing,
New York, NY, USA:
Association for Computing Machinery,
2024,
pp. 371–376.
| DOI: | 10.1145/3675094.3678487 |
| ISBN: | 9798400710582 |
| File: | /fileadmin/website_uni_ulm/iui.inst.100/1-hci/hci-paper/2024/ubicomp_adjunct_contextual_feature_importance.pdf |