About
Neslihan Iskender is a researcher at the Quality and Usability Labs of Technical University of Berlin since May 2017, focusing on crowdsourcing methodologies for quality assessment and natural language processing. She holds a BSc and MSc in Industrial Engineering from Karlsruhe Institute of Technology, with a specialization in technology and innovation management.
- Research Areas: Crowdsourcing for quality evaluation, hybrid human-machine workflows, real-time interaction systems, usability/UX/QoE assessment, and internal crowdsourcing in corporate environments.
- Teaching: Co-teaches courses in Quality & Usability, Interdisciplinary Media Projects, and Usability Engineering exercises since SS 2018.
- Projects: Leads ERICS (EIT-Digital refugee communication service), contributes to DEKA (digital innovation platform), OurPuppet (caregiver support systems), and ICU (employee participation solutions).
- Contributions: Published 11+ peer-reviewed works between 2019-2021 on crowdsourcing reliability, chatbot UX, German summarization metrics, and hybrid NLG workflows.
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