Shkurta Gashi
About
I am a PostDoctoral Researcher at the ETH AI Center. My research interests lie at the intersection of machine learning, wearable sensing, and health. I am part of the “Biomedical Informatics” group led by Prof. Gunnar Rätsch and “Sensing, Interaction and Perception Lab” led by Prof. Christian Holz. I am interested in applying signal processing techniques, machine learning, and deep learning methods to automatically recognize human behavior from sensor data collected using mobile and wearable devices (e.g., smartphones, smartwatches, and sensory earbuds). In my Ph.D. thesis, I focused on the design and development of robust sensor-based human behavior recognition methods, which can detect people's behavior in real-world settings by combating the challenges faced in such settings such as noisy and missing data.
Social Media:
Skills
Data Science
Deep Learning
Machine Learning
Signal Processing
Statistical Data Analysis
Time Series Analysis
Open for
fulltime
mentoring
parttime
Work Experience
ETH AI Center, ETH Zurich
2022-09 - 2024-11
Postdoctoral Researcher
Zürich
fulltime
During this time, I was involved in the following activities: - Developed machine-learning based solutions in Python for recognizing disease symptoms using tabular and time series data collected from mobile and wearable devices. - Proposed, led, and supervised/co-supervised PhD and MSc-level projects in machine learning and wearable sensing. - Co-organized, co-lectured, and led projects for Master level courses in machine Learning, data science, and wearable sensing.
Università della Svizzera italiana (USI)
2017-09 - 2022-08
Ph.D. Researcher
Ticino
fulltime
• Analyzed data collected with smartwatch, smartphone and earbuds using machine learning, deep learning, signal processing, and statistical analysis in Python. Developed mobile applications in Android programming to collect the data in user studies. • Prepared and lectured tutorials and assignments on data analysis with Python, Elasticsearch, SQL, Spark, Neo4J, MongoDB, and Android. Planed and monitored students’ projects and theses.
Nokia Bell Labs
2021-10 - 2022-01
Visiting Researcher
Remote
fulltime
• Analyzed time series and tabular data in Python programming.
Academic Experience
Università della Svizzera italiana -
2017.09 - 2022.08
Doctorate, Dr. in Informatics
Università della Svizzera italiana -
2015.01 - 2017.07
Master of Science, MSc in Informatics