Contact

  • Prof. Dr. Umberto Michelucci, PGCPSE (Open)

  • Email: umberto dot michelucci at toelt dot ai

  • Email: umberto dot michelucci at hslu dot ch

  • LinkedIn profile

  • Google Scholar

  • In the World's Top 2% Scientists Stanford List

Education

  • Master of Science in Theoretical Physics, University of Florence at LENS (European Laboratory for Non-Linear Spectroscopy), Italy on Theoretical simulations of entrapment of atoms with lasers.

  • Postgraduate Certificate in Higher Education (30 ECTS), Open University, UK

  • Doctorate (PhD) in Machine Learning and Physics, University of Portsmouth, School of Computing, Optical Oxygen and Temperature Sensing with Multi-Task Learning

Academic and Professional Appointments

  • Professor in Scientific Machine Learning, 2024-present, Lucerne University of Applied Sciences and Arts, Computer Science Department, Switzerland

  • Senior Lecturer, 2021-2024, Lucerne University of Applied Sciences and Arts, Computer Science Department, Switzerland

  • Associate Researcher, INAF (National Institute for Astrophysics), Italy, Milan, 2023-present

  • Head of Certificates of Advanced Studies in Machine Learning, 2021-present

  • Head of Certificates of Advanced Studies in Data Engeering and Applied Data Science, 2021-present

  • Head of Applied Data Intelligence Continuing Education, 2022-present

  • Founder and CEO of TOELT AI Lab, 2018-present

  • Founder and Head of AI Center of Excellence, Helsana Insurance, Switzerland, 2018-2021

  • Head of continuing Education, Zurich University of Applied Sciences, Life Science Department, 2018-2019

Books

  • A Researcher’s Guide to Writing and Reading Papers, Springer Text Book in Computer Science, Springer Nature, 2024, (Available in Winter 2024)

  • Statistics for Scientists - A Primer for Researchers and Professionals, Springer Text Book in Computer Science, Springer Nature, 2024, (Available in Autumn 2024)

  • Fundamental Mathematical Concepts for Machine Learning in Science, Springer Nature 2024, Text Book in Computer Science (SPRINGERLINK)

  • Applied Deep Learning with TensorFlow 2, APRESS, Springer Nature, 2022 - 100’000 downloads and >180 citations in scientific papers (SPRINGERLINK)

  • Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection, APRESS, Springer Nature, 2019 - 50’000 downloads and >140 citations in scientific papers (SPRINGERLINK)

  • Applied Deep Learning - A Case-Based Approach to Understanding Deep Neural Networks, APRESS, Springer Nature, 2018 - 70’000 downloads, >180 citations in scientific papers

Publications

Professional Affiliations

  • IEEE

  • IEEE Computational Intelligence Society Member

  • AAAI (The Association for the Advancement of Artificial Intelligence)

Awards