Menu
I’m thrilled to welcome you to my page. Recently I finished my masters’ in human-computer interaction at the University of Siegen, and my passion lies in UX design. I believe that digital interfaces should be accessible and intuitive for everyone, regardless of their background or abilities.Thanks for stopping by!
Welcome to my UX design portfolio! I’m excited to share with you a glimpse of my work in various projects and research endeavors. Enjoy!
” Yeat” – apps’ web version enhances last-minute dining experiences by enabling quick table bookings and efficient restaurant management. As the UX designer, I led a team to create an intuitive, user-centric web interface that allows real-time updates and cross-platform consistency. This innovation reduces no-shows and maximizes efficiency for both diners and restaurant owners.
The HCI department at Siegen has initiated a website redesign project to enhance the user experience of their website. The ultimate goal of this project is to propose changes that will enhance the website’s usability, functionality, and overall user satisfaction.
The Digital Ethnography Research Workshop (DiFE) project aimed to modernize how ethnographic research is taught and examined. For that purpose, DiFE was envisioned as an immersive platform that would engage students, promote collaborative research, and provide a seamless learning journey. The platform to be developed is based on the archive for research projects already developed by the working group (efo.uni-siegen.de) and is significantly developing it further in terms of content and structure.
Abstract—Traditional fish farming faces several challenges,
including water pollution, temperature imbalance, feed, space,
cost, etc. Biofloc technology in aquaculture transforms the
manual into an advanced system that allows the reuse of unused
feed by converting them into microbial protein. The objective of
the research is to propose an IoT-based solution to aquaculture
that increases efficiency and productivity. The article presented a
system that collects data using sensors, analyzes them using a
machine learning model, generates decisions with the help of
Artificial Intelligence (AI), and sends notifications to the user.
The proposed system has been implemented and tested to
validate and achieve a satisfactory result.