Lionetti Simone HSLU I

Simone Lionetti Simone Lionetti

Lecturer

Lionetti Simone HSLU I

Lucerne School of Computer Science and Information Technology

Room 7.63
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Lecturer

+41 41 757 68 76

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Biography

Aus- und Weiterbildung

  • 2018: Ph.D. in Physics, ETH Zürich, Dissertation “Subtraction of Infrared Singularities at Higher Orders in QCD”
  • 2013: Master of Science in Physics mit Schwerpunkt in Quantenfeldtheorie und Scientific Software, Università degli Studi di Milano
  • 2010: Bachelor of Science in Physics mit Schwerpunkt in Teilchenphysik und Data Analysis, Università degli Studi di Milano
  • 2007: Diploma di Maturità Scientifica, Liceo Leonardo da Vinci Milano

Berufliche Stationen

  • 2018–2019: Postdoctoral Fellow, Durham University
  • 2013–2018: Wiss. Mitarbeiter, Institut für Theoretische Physik, ETH Zürich
  • 2012: Praktikum, Deutsches Elektronen-Synchrotron Hamburg (DESY)
  • 2011: Temporary Employee, Stanford Linear Accelerator Center
Professional competencies
  • Data Analysis
  • Algorithm development
  • Software Engineering
  • Theoretical Particle Physics

Projects

Service projects

  • Reorganisation des Informatikbereichs der IG Arbeit

Research projects

  • HSLU Medtech Joint Venture
  • Counteracting Data Scarcity in MedTech
  • PollenFace - Face recognition for bioaerosol particle identification
  • BGE Digital Pathfinder
  • Smart-Meter-Daten besser nutzen dank maschinellem Lernen
  • Artificial Yodel
  • Besucherprognosen für Freizeit- und Tourismus mit branchenübergreifenden Daten
  • Customer forecast with cross-industry data
  • ITC Digitale Schädlingsbekämpfung
  • Women's Business
  • Erkennung von Handekzemen mit Machine Learning
  • Sicherheit digitaler Coupons
  • Integratives Generationenmanagement
  • Datenauswertung bei der EnAW
  • Notice to Airmen
  • Kurzfristige Prognose und Steuerung des Gästeaufkommens im Freizeit- und Tourismusmarkt
  • Büroflächen intelligent suchen
  • Skin-App: Medical Severity Grading of Hand Eczema by Automated Image Analysis
  • Automatisierte Antwort- und Matchingassistentin für implizite und explizite, wissensbasierte Fragen
  • Winkelvermessung für Spurhalter mittels Bildverarbeitung
  • Preference-Based Medtech

Publications and presentations

Publications and presentations - Article, review; peer reviewed

  • Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Andriambololoniaina, Herizo; Amruthalingam, Ludovic; Rakotoarisaona, Mendrika; Gonzales-Jimenez, Alvaro; Lionetti, Simone; Ng, Wingston; Hsu, Christophe; Kessy, Agnes; Pouly, Marc; Mavura, Daudi; Faith, Dingase; Traoré, Ibrahima; Rapelanoro, Rabenja & Navarini, Alexander (2024). PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa. Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gonzales-Jimenez, Alvaro; Lionetti, Simone; Bazazian, Dena; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Navarini, Alexander & Pouly, Marc (2024). Hyperbolic Metric Learning for Visual Outlier Detection. Proceedings of Beyond Euclidean Workshop: Hyperbolic and Hyperspherical Learning for Computer Vision, ECCV’24: European Conference on Computer Vision 2024,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Amruthalingam, Ludovic; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2024). Intrinsic Self-Supervision for Data Quality Audits. NeurIPS’24: Proceedings of the 38th Annual Conference on Neural Information Processing Systems,
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzales-Jimenez, Alvaro; Lionetti, Simone; Soenksen Martinez, Luis; Navarini, Alexander & Pouly, Marc (2024). Towards Foundation Models for Digital Dermatology. Proceedings of the 4th Machine Learning for Health Symposium, Findings Track,
  • Gonzales-Jimenez, Alvaro; Lionetti, Simone; Pouly, Marc & Navarini, Alexander (2023). SANO: Score-based Diffusion Model for Anomaly Localization in Dermatology. Proceedings of CVPR 2023 Workshop on Visual Anomaly and Novelty Detection, 1.
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (2023). Robust T-Loss for Medical Image Segmentation. MICCAI'23: Proceedings of the 26thInternational Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Groh, Matthew; Daneshjou, Roxana; Consortium, Labelling; Navarini, Alexander & Pouly, Marc (2023). Towards Reliable Dermatology Evaluation Benchmarks. Proceedings of the Machine Learning for Health conference, 2023,
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Navarini, Alexander & Pouly, Marc (2022). Towards Reducing The Need For Annotations In Digital Dermatology With Self-supervised Learning. ECAI’22: European Conference on Artificial Intelligence, Proceedings of Workshop 31: Scarce Data in Artificial Intelligence for Healthcare, 11-16. doi: 10.5220/0000164800003523
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Amruthalingam, Ludovic; Gottfrois, Philippe Léon-Marius; Pouly, Marc & Navarini, Alexander (2022). SANO: Score-based Anomaly Localization for Dermatology. ECAI’22: European Conference on Artificial Intelligence, Proceedings of Workshop 31: Scarce Data in Artificial Intelligence for Healthcare, 53-58. doi: 10.5220/0000164800003523
  • Wullschleger, Pascal; Lionetti, Simone; Daly, Donnacha; Volpe, Francesca & Caro, Grégoire (2022). Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records. Proceedings of the 2022 IEEE International Conference on Big Data, 1.
  • Lionetti, Simone; Pfäffli, Daniel; Pouly, Marc; vor der Brück, Tim & Wegelin, Philipp (2021). Tourism Forecast with Weather, Event, and Cross-Industry Data. Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 1097-1104. doi: 10.5220/0010323010971104
  • Pouly, Marc; Koller, Thomas; Gottfrois, Philippe Léon-Marius & Lionetti, Simone (2020). KI in der Bildanalyse – Grundlagen und neue Entwicklungen. Springer - Der Hautarzt, 2020(9), 660-668. doi: 10.1007/s00105-020-04663-7

Publications and presentations - Article, review; not peer reviewed

  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzalez-Jimenez, Alvaro; Amruthalingam, Ludovic; Consortium, Labelling; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2023). SelfClean: A Self-Supervised Data Cleaning Strategy. arXiv,
  • Pouly, Marc & Lionetti, Simone (2021). Eine Kürzestgeschichte des Deep Learnings. Bulletin des Schweizerischen Verbands der Telekommunikation, 1.
  • Lionetti, Simone (2019). Momentum mappings for subtractions at higher orders in QCD. JHEP, 2019(12), 129. doi: 10.1007/JHEP12(2019)129

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

  • Ille, Fabian; Lionetti, Simone & Wüest, Simon (21.09.2021). Artificial intelligence for medical technology and the pharmaceutical industry. Roche Digital Day 2021, Rotkreuz.
  • Graf, Elias; Lionetti, Simone; Niederberger, Erny; Salzmann, Joel; Wullschleger, Pascal & Zeder, Yanick (03.09.2021). Airborne spore measurements based on UV-induced fluorescence and digital holography from SwisensPoleno Jupiter. European Aerosol Conference 2021, Online.
  • Lionetti, Simone (23.08.2021). Using an end-of-life sensor study for Machine Learning. Applied Machine Learning Days 2021, Online.

Achievements

Achievements - Awards and honours

  • Jimenez, Alvaro Gonzales; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (12.10.2023). Best Paper Award für Best Paper at MICCAI 2023.

Achievements - Other achievements

  • Arnold, Ruedi; Birbaumer, Mirko; Bravin, Marc; Bürli, Andrin; Daly, Donnacha; Kakooee, Reza; Koller, Thomas; Lionetti, Simone; Mazumder, Sita; Mérinat, Tobias; Pfäffli, Daniel; Pouly, Marc; Salzmann, Joel & Wullschleger, Pascal. Member of the Team that crafted the first Beer along an AI generated Recipe. ABIZ Team Achievement. Hochschule Luzern - Informatik.