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  • Computer Science
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Prof. Dr. Jelena Milosevic,

Job title/activity of the person
Professor for Generative AI

Contact

Phone
+41 56 202 80 82 (Direct)
E-Mail
jelena.milosevic@fhnw.ch

Address

FHNW University of Applied Sciences and Arts Northwestern Switzerland
School for Computer Science
Bahnhofstrasse 6
5210 Windisch

Eckdaten


Activities at FHNW

  • Professor for Generative AI

Teaching

  • Basics of Data and AI
  • Generative AI

Research

  • Generative AI
  • Agentic AI
  • Security of AI
  • AI for mobile and embedded systems

Profile

Biography

Senior Data Scientist at Yokoy AG, Zurich, Switzerland

  • Design, develop, and deployment of multimodal ML solutions in the area of document understanding and information extraction, collaborating closely with cross-functional teams to ensure alignment with business goals and technical requirements.
  • Design and leading of an evaluation framework for benchmarking LLMs, optimizing accuracy, latency, and cost to best fit the company’s ecosystem.
  • Management of the end-to-end execution of the ML model development process: from understanding business requirements and engaging with stakeholders, through data analysis, feature engineering, and model development, to creating model deployment pipelines using cloud technologies, ensuring seamless integration with existing systems.
Senior Data Scientist at Mondi Group, Vienna, Austria
  • Design, development, and deployment of production-ready machine learning methods.
  • Maintenance of deployed models (monitoring, drift detection, retraining).
Postdoctoral Researcher at TU Wien, Vienna, Austria
  • Design, development, and deployment of network attacks anomaly detection systems.
  • Research in the adversarial machine learning domain.
Ph.D. in Informatics at Faculty of Informatics, USI-Lugano, Switzerland. Ph.D. Thesis: “Malware Detection at Runtime for Resource-constrained Mobile Devices” under supervision of Prof. Miroslaw Malek.
  • Design and development of supervised machine-learning-based detection methods tunable with respect to desired detection accuracy, time, and power consumption.
Visiting Researcher at Intel Research and Development, Dublin, Ireland
  • Low-power implementation of a deep learning face emotion recognition system.
Visiting Researcher at IBM Cyber Security Center of Excellence, Beer Sheva, Israel
  • Implementation of anomaly detection algorithms for time series analysis.
Researcher at Faculty of Informatics, USI- Lugano, Switzerland
  • Software Engineer at Zesium Mobile Software Development, Novi Sad, Serbia
  • Speech analysis and optimization of audio codecs for MIPS architecture.
Master in Electrical and Computer Engineering, Major in Telecommunication Systems, University of Novi Sad, Serbia, Thesis Mark: 10/10, GPA: 9.67/10
Bachelor in Electrical and Computer Engineering, Major in Communication Technologies and Signal Processing, University of Novi Sad, Serbia, Thesis Mark: 10/10, GPA: 9.78/10

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Computer Science FHNW University of Applied Sciences and Arts Northwestern Switzerland

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