research

overview of my research projects.

AI/ML Projects at ZHAW

certAInty (2022-)

Certification of AI Systems by an accredited body increases trust, accelerates adoption and enables their use for safety-critical applications. We develop a Certification Scheme comprising specific requirements, criteria, measures, and technical methods for assessing Machine Learning enabled Systems.

(Billeter et al., 2024) (Denzel et al., 2024) (Billeter et al., 2024) (Denzel et al., 2023) (Weng et al., 2023)

SKACH (2022-)

In this project we use generative deep learning methods (GANs and VAEs) to produce realistic astronomical mock-observations of numerically simulated astrophysical objects, as they will be obseved by the Square Kilometre Array Telescope (SKA). This project contributes to the Swiss-wide activities for SKA of the SKACH Consortium.

(Denzel et al., 2023) (Denzel et al., 2023)

AC3T (2022-)

The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms. Link

(Amirian et al., 2024)

OSR4H (2022-2023)

Development of a Proof of Concept for visual Open Set Recognition (OSR) algorithms applied to a Hematology task, the classification of white blood cells.

DIR3CT (2020-2022)

Project DIR3CT aims at improving the image quality of cone-beam CT images by deep learning the 3D reconstruction from X-ray images end-to-end. This enables a novel cone-beam CT product to be used during radiation therapy and will allow the use of these images for adaptive treatment.

(Amirian et al., 2023) (Herzig et al., 2022)

QualitAI (2018-2020)

QualitAI researches and develops a device for automatic quality control of industrial products like e.g. cardial ballon catheters. This will be facilitated through innovation in the area of artificial intelligence, especially by analyzing camera images using Deep Learning.

(Schilling & Stadelmann, 2019) (Amirian et al., 2020)

Particle Physics with the CMS Experiment at CERN

Higgs Boson Physics (2012-2014)

Search for the Higgs boson in associated WH->lnubb production mode; focus on boosted regime at large pT(H); use of jet sub-structure and jet energy regression algorithms; multi-variate analysis using NN/BDT. This channel contributed to the observation of the Higgs boson in 2012, the prediction of which was awarded with the Nobel Prize in Physics in 2013.

(Chatrchyan & others, 2012) (Chatrchyan & others, 2012) (Chatrchyan & others, 2013) (Chatrchyan & others, 2014) (Chatrchyan & others, 2014)

Top Quark Physics (2007-2012)

Convenor of the CMS top quark physics analysis group: steering research program using initial LHC data, carried out by approx 200 physicists from around the world; coordinated several journal publications and many conference results (2010-2011)

(Chatrchyan & others, 2017) (Chatrchyan & others, 2012) (Chatrchyan & others, 2011) (Chatrchyan & others, 2011) (Chatrchyan & others, 2011) (Khachatryan & others, 2011)

Major role in re-discovery of the top quark at the LHC; leading top quark cross section measurements in lepton+jets topologies; first journal publication of CMS using this channel (since 2009)

(Chatrchyan & others, 2012) (Chatrchyan & others, 2012) (Chatrchyan & others, 2011)

Simulation studies on early observation of top events; b-tagging in top quark events; preparation of first top cross section measurements (2007-2009)

(CMS Collaboration, 2009) (CMS Collaboration, 2009) (CMS Collaboration, 2008)

Track Reconstruction and b-jet Identification (2004-2009)

Identification of b-jets (b-tagging): impact of misalignment on b-tagging performance; development of robust secondary vertex algorithm; supervised development of a generic multivariate framework for b-tagging; implementation of a tertiary vertex finder (2007-2009)

(CMS Collaboration, 2009) (Lampen et al., 2008) (CMS Collaboration, 2008)

V0 reconstruction: lead developer of a dedicated track seeding and reconstruction algorithm for long-lived K^0_s and Lambda^0 particles (2006)

Tracker Alignment: leading role in CMS silicon tracker alignment (approx. 100,000 unknown parameters); software framework; algorithm studies and application to full tracker; simulation of misalignment and projected startup scenarios; convenor of CMS tracker alignment group (2004-2007)

(Chatrchyan & others, 2010) (Chatrchyan & others, 2009) (Karimaki et al., 2006)

Particle Physics with the H1 Experiment at DESY

QCD Physics (1998-2006)

Main analyzer, measurement of the inclusive, triple differential cross section of diffractive DIS processes with unprecedented precision; determination of NLO diffractive PDFs (2001-2006)

(Aktas & others, 2006)

Implementation of next-to-leading order cross section calculations for diffractive final states using a novel slicing technique (used for theory predictions in several publications) (2003-2004)

(H1 Collaboration, 2003)

Primary analyzer, measurement of differential cross sections of diffractive dijet production; detailed comparisons with QCD models (1998-2001)

(Adloff & others, 2001)

Operations (1998-2004)

Central Trigger: overall trigger strategy and bandwidth allocation; integration of new trigger subsystems; trigger simulation validation; 24/7 on-call service (2001-2004)

Backward Drift Chamber Detector: 24/7 on-call service; data quality monitoring; coordiation of maintenance during shut-down periods (1998-2000)

Other Particle Physics Projects

6th Workshop on Physics at TeV Colliders, Les Houches, France (2009)

Development of common output format for NLO calculations

(Campbell et al., 2009)

HERA-LHC Workshop, DESY and CERN (2004-2006)

Development of a library of diffractive parton distributions; detailed comparisons of experimental data

(Schilling, 2005) (Newman & Schilling, 2005)