Mancera José HSLU W

José Mancera José Mancera

Lecturer

Mancera José HSLU W

Lucerne School of Business

Room IKM, 2. Stock
Zentralstrasse 9
6002 Luzern


Institute of Communication and Marketing IKM

CC Communication & Marketing Technologies

Lecturer

+41 41 349 36 81

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Biography

Education

  • Ph.D. Candidate in Computer Science and Artificial Intelligence, University of Fribourg (ongoing), Fribourg, Switzerland
  • M.A. in Information Management, University of Fribourg, magna cum laude (Honors), Fribourg Switzerland
  • M.Sc. in Computer Science, University of Bern, magna cum laude (Honors), Bern, Switzerland
  • Minor in Space Technologies, EPFL, Lausanne, Switzerland
  • Bachelor of Science (B.Sc.) in Electronics and Communications, Monterrey Institute of Technology and Higher Education, Mexico
  • Mobile Devices, Information Technology, Specialisation Degree, Jónköping University, Sweden
  • Satellite Technology & Signal Processing Specialisation - Copenhagen University College of Engineering, Denmark

Current Positions

  • Applied Data Science Researcher /  Sr. CS Engineer, Beekeeper AG, Zurich
  • Lecturer, University of Applied Sciences in Lucerne (HSLU)
  • Ph.D. Candidate, Human-Ist Institute in Artificial Intelligence, University of Fribourg

Professional Experience

  • 2022 - present: Lecturer, University of Applied Sciences in Lucerne (HSLU), Switzerland
  • 2019 - present: Applied Data Science Researcher, Beekeeper AG, Zurich, Switzerland
  • 2017 - 2018: Software Engineer, CreditGate24, Zurich, Switzerland
  • 2016 - 2018: Senior Big Data Machine Learning Scientist, Information System Research Group, University of Fribourg, Switzerland
  • 2016 -2017: Data Scientist, Schindler Aufzüge AG, New Technologies Department, Ebikon, Lucerne, Switzerland
  • 2014 - 2016: Software Engineer, Space System Engineer (S3), Payerne, Vaud, Switzerland
  • 2013: Research Assistant, Swiss Space Center, EPFL (Collaborated on CDMS satellite software development), Lausanne, Switzerland
  • 2013: Software Engineer, ELCA Informatique SA, Bern, Switzerland
  • 2008 - 2013: Sr. Telecommunications Engineer, Nortel Networks, Montreal, Quebec, Canada
  • 2006 - 2008: Telecom Engineer Solutions - Private Sector, Huawei, Mexico City, Mexico
Subjects
  • Explainable Artificial Intelligence - Theory and Practice
  • Artificial Intelligence Search and Optimization
  • AI Competitions (Kaggle und Robocup)
  • Data Warehouse and Data Lake Systems
  • Hands-on Data Visualisation for Data Science
  • Algorithmen, Daten & Programmieren
Professional competencies
  • Data & Software Engineering
  • Algorithms and Data Structures
  • Applied Information and Data Science
  • Generative AI
Teaching and research focus
  • Data Warehouse and Data Lake Systems
  • Hands-on Data Visualisation for Data Science
  • Explainable Artificial Intelligence - Theory and Practice

Projects

Research projects

  • Swiss Digital Ethics Compass

Publications and presentations

Publications and presentations - Article, review; peer reviewed

  • Kaufmann, Michael & Mancera, José (2022). GDPR-Compliant Social Network Link Prediction in a Graph DBMS: The Case of Know-How Development at Beekeeper. Knowledge, 2022(2), 286-309. doi: https://doi.org/10.3390/knowledge2020017
  • Mancera, José & Terán, Luis (2019). Dynamic profiles using sentiment analysis and twitter data for voting advice applications. Government Information Quarterly, 2019(3), 520-535. doi: https://doi.org/10.1016/j.giq.2019.03.003
  • Mancera, José & Terán, Luis (2017). Dynamic Profiles Using Sentiment Analysis for VAA's Recommendation Design. Procedia Computer Science, 2017(108), 384-393. doi: https://doi.org/10.1016/j.procs.2017.05.265

Publications and presentations - Chapter/legal commentary/lexicon article

  • Mancera, José & Terán, Luis (2024). User Characterization Strategies in GDPR-Compliant Environments: Beekeeper AG Case Study. 2024 Tenth International Conference on eDemocracy & eGovernment (ICEDEG) Lucerne, Switzerland: IEEE.
  • Mancera, José & Terán, Luis (2023). Enhancing Dynamic Profiles on Voting Advice Applications Using Social Media Analysis. 2023 Ninth International Conference on eDemocracy & eGovernment (ICEDEG) (S. 03.04.2023-04.04.2023). New York, USA: IEEE.
  • Mancera, José & Terán, Luis (2022). MovieOcean: Assessment of a Personality-based Recommender System. Proceedings of the 24th International Conference on Enterprise Information Systems (S. 25.04.2022-27.04.2022). Setúbal, Portugal: SciTePress.
  • Mancera, José & Terán, Luis (2022). On-development of a GDPR Compliant Graph-based Recommender Systems. Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS (S. 25.04.2022-27.04.2022). Setúbal, Portugal: SciTePress.
  • Mancera, José & Terán, Luis (2017). Applying Dynamic Profiles on Voting Advice Applications. Wirtschaftsinformatik in Theorie und Praxis (S. 153-175). Germany: Springer Verlag.

Publications and presentations - Presentation (conference/report/lectures)

  • Mancera, José & Terán, Luis (24.06.2024). User Characterization Strategies in GDPR-Compliant Environments: Beekeeper AG Case Study. 2024 Tenth International Conference on eDemocracy & eGovernment (ICEDEG), Lucerne, Switzerland.
  • Mancera, José & Terán, Luis (23.05.2022). MovieOcean: Assessment of a Personality-based Recommender System. ICEIS 2022 : 24th International Conference on Enterprise Information Systems, Online.
  • Mancera, José & Terán, Luis (25.04.2022). On-development of a GDPR Compliant Graph-based Recommender Systems. ICEIS 2022 : 24th International Conference on Enterprise Information Systems, Online.