Student Sessions 2025
What? Your chance to give a lecture and present your project to fellow students and colleagues! Please note that we only have 30 places available.
When? From the 6th August to the 8th August 2025, 09:00 to 12:00 CEST
How? Please register to secure a spot and present your project. Registration opens on July 24 at 15h00 CEST
The Student Sessions are your chance to volunteer to give a talk on your work project at CERN - just like you have seen the lecturers do during the Summer Student Lecture programme.
For inspiration: Talks from 2024 Student Session
More details:
The talk will last for 10 minutes and will be followed by 5 minutes of questions. The session will be recorded and made available online. The titles of the presentations will be published in the CERN Annual Report next year as having been part of the Summer Student Lecture Programme.
There are only 30 places, allocated on a first come, first served basis.
Note that the presentation should not exceed 5-8 slides. Don't forget to email to our Summer Student Team a copy of your presentation as well as a brief autobiography by August 4th, 2025 so that we can introduce you.
DO NOT FORGET TO INVITE YOUR SUPERVISORS AND COLLEAGUES TO JOIN US!
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Student Session: Student Session - Day 1
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09:00
Improving Di-Higgs Boson Detection in the 1l3tau Channel Using Machine Learning 15m
Shaikha is entering her 4th year studying physics and mathematics in Kuwait University. This summer, she’s been working in the ATLAS experiment to help improve the detection of the Higgs pair production.
Speaker: Shaikha Albassam (CERN) -
09:15
Analysis of the 4-Cell Problem in the LHCb's Electromagnetic Calorimeter 15m
Jinkyu is an undergraduate physics student at Hanyang University in Seoul, South Korea. He has been working as a research intern with the KCMS Elementary Particle Physics group at his university.
This summer, he has been involved in Data Quality and Monitoring for the LBD group in LHCb, focusing on a project analyzing the 4-Cell Problem in the LHCb electromagnetic calorimeter. This issue, which has been recurring throughout the past year, often goes unnoticed, leaving potentially affected data included in the ntuples used for research. His work has centered on identifying the impact of this problem, understanding its behavior, and assessing whether the data can still be used for specific types of analyses. In this presentation, he will share the details of his investigation, as well as his contributions and insights for future occurrences.
Speaker: Jinkyu So (CERN) -
09:30
Leonor Guimaraes Goncalves 15m
Understanding neutrino interactions is key to unlocking the full physics potential of DUNE. In this talk, I present a novel data-driven strategy to estimate the $\nu_e/\nu_\mu$ cross-section ratio without relying on interaction models. By exploiting the unique off-axis capabilities of DUNE-PRISM, we construct optimized linear combinations of $\nu_\mu$ fluxes that closely replicate $\nu_e$ fluxes. This allows us to isolate the cross-section effects directly from event rates. The method combines flux matching, regularized minimization, and energy-weighted importance functions—offering a robust and transparent path toward precision neutrino physics.
Speaker: Leonor Guimaraes Goncalves -
09:45
Chalisa Visvajit 15m
Amplifier Testing for Cryogenic SiPMs Detector as part of the ALPHA-3 Upgrade
Hi, my name is Chalisa Visvajit, a Mechanical Engineering student from Chulalongkorn University, Thailand. I had the opportunity to work with the ALPHA experiment at CERN. My project focused on integrating and testing silicon photomultipliers (SiPMs) under cryogenic conditions for the ALPHA-3 trap. These detectors support non-destructive antihydrogen spectroscopy aiming to achieve the first detection of fluorescence from stable antimatter atoms without annihilation. My role involved amplifier circuit testing, system integration, and cryostat testing to ensure reliable photon detection at temperatures near 4 K in a vacuum chamber.
Speaker: Chalisa Visvajit -
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Break 15m
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10:15
Beam-Cavity Interactions at injection in the PS Booster 15m
Samuel is an undergraduate representing Nanyang Technological University in Singapore, studying Aerospace Engineering. His work at CERN involves investigating transient effects at injection in the PS Booster, specifically in longitudinal beam dynamics. A new model has been created that follows the dynamic behaviour of the PSB RF cavity feedback loops, and and his study aims to validate the model's behaviour by comparing it's output to real PSB data.
Speaker: Ngai Zhi Samuel Lau -
10:30
Developing Neural Networks to Tag Emerging Jets in the ATLAS Experiment 15m
Machine learning algorithms are being developed to search for dark matter in the ATLAS experiment. One class of dark matter models under consideration involves a dark sector containing dark quarks that shower and hadronize into dark mesons. These mesons may travel significant distances before decaying into Standard Model particles, producing topologically distinct emerging jets that can be identified by neural networks. This talk will present improvements to an existing supervised jet tagger, as well as the development of a new unsupervised algorithm aimed at enabling model-independent searches.
Sophie is an undergraduate physics student at the University of British Columbia in Vancouver, Canada. This summer, she is working with the ATLAS group at Simon Fraser University.
Speaker: Sophie Gélinas (Simon Fraser University (CA)) -
10:45
Brad Andrew Brown 15m
Hello! My name is Brad Brown and I’m a senior undergraduate physics student at the University of Texas at Arlington. This summer, I worked with the LHCb Simulation team on restoring and modernizing the Machine-Induced Background (MIB) generator — a simulation tool originally developed during Run 1 of the LHC but unused since. MIB arises from beam losses around the accelerator and can impact detector performance. New studies are needed to evaluate MIB conditions for High-Luminosity LHC, Heavy Ion Collisions, and even for future colliders like the FCC. My project involved understanding the relevant accelerator physics, reviving the legacy tool, and porting it into the modern Gauss-on-Gaussino framework. With the generator now operational again, LHCb is equipped to carry out these new studies.
Speaker: Brad Andrew Brown (University of Texas at Arlington) -
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Break 15m
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11:15
Zareen Tahsin Anjum 15m
Please enter your presentation and a short description of your project
Speaker: Zareen Tahsin Anjum (University of Dhaka) -
11:30
Olha Sirikova 15m
Optimizing and Benchmarking the SOFIE Inference Tool
Speaker: Olha Sirikova -
11:45
Sittipon Kumda 15m
Secondary Vertex Reconstruction with Maskformer
The High-Luminosity Large Hadron Collider will generate data in a challenging high pile-up environment, making the reconstruction of secondary vertices, crucial for identifying heavy-flavor quarks and searching for new physics, extremely difficult. This project addresses this by developing an end-to-end machine learning pipeline using the MaskFormer architecture. The core contribution was creating a highly efficient data conversion module to transform
.root
physics data into the ML-friendly.h5
format. Following this foundational step, the project involves training the model and analyzing its results to ensure physics-accurate predictions. Further enhancements will be explored through advanced techniques such as hyper-parameter tuning, pre-training strategies, and post-training optimizations to maximize the model's performance and scientific potential.Speaker: Sittipon Kumda (CERN)
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Student Session: Student Session - Day 2
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Thibaut Lemercier 15m
Hello, my name is Thibaut Lemercier. I’m currently an electrical engineering student at INSA Lyon, with a strong interest in specialized electromagnets. Previously, I worked on the design of a superconducting magnet at CEA, the French Atomic Energy Commission.
This summer, I’ve had the opportunity to join the Beam Transfer Group at CERN. My project focuses on characterizing iron and copper losses in a new septum magnet, using both COMSOL simulations and hands-on experiments.Speaker: Thibaut Lemercier -
09:15
Well, actually… Beam Intensity Monitors and How to Look at Instrumentation 15m
Hello all! My name is Julia, I am an engineering physics student from Canada. My project has been to construct a prototype of a Beam Intensity Monitor for the Beam Instrumentation group. In this talk, I will discuss the challenges and methods that go into the construction and installation of the prototype, as well as the vacuum capability and motorization that makes this prototype unique.
Well, actually… My additional goal with this talk is to encourage you to take a second look at detectors and instrumentation. Beyond just seeing diagrams, we will look at the “behind the scenes” of experiments, using the construction of my Beam Intensity Monitor as an example.
Speaker: Julia Kerri Redinger (University of Alberta (CA)) -
09:30
Taksaporn Promjak 15m
Please enter your presentation and a short description of your project
Speaker: Taksaporn Promjak (CERN) -
09:45
Data selection in ProtoDUNE LArTPC data 15m
Hi! I'm Julia Favaro and I’m currently a Physics Master Student at University of Pisa in Italy. I would like to have a career in astroparticle physics, and I am especially interested in multi-messenger astronomy. When I’m not working, you’ll often find me doing science outreach, or taking part in local theaters.
Project description
This project focuses on the development and optimization of data selection strategies for ProtoDUNE liquid argon time projection chamber (LArTPC) data, with a special emphasis on cosmic ray event reconstruction, for eventual online trigger development. After introducing the DUNE scientific program and the motivation for using LArTPC technology, we will briefly discuss the unique readout and signal features of the ProtoDUNE Horizontal Drift (HD) detector. Using simulated and real cosmic data, we explore our data topologies and clustering approaches.Speaker: Julia Favaro -
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Gift Onofu Oguare 15m
Multi-Objective Particle Swarm Optimization: Interactive Visualization of MOPSO Results.
Gift Oguare is a fourth-year undergrad student at the University of Benin studying computer science. As a summer student, she worked on designing and implementing a comprehensive dashboard that enables researchers to upload CSV files containing MOPSO results and visualize them through dynamic scatter matrix plots.
Speaker: Gift Onofu Oguare -
10:30
Qingxiang Guo 15m
Please enter your presentation and a short description of your project
Speaker: Qingxiang GuoHGCAL is a key component of the next phase of the CMS upgrade. This study aims to monitor potential anomalies during HGCAL operation using machine learning methods. Due to the unique hexagonal layout of HGCAL, conventional convolutional neural network (CNN) algorithms are no longer directly applicable. I have innovatively applied the Radial Distribution Function (RDF) to address this challenge, achieving better results than traditional approaches. This work may offer new perspectives for future applications of machine learning in high energy physics
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10:45
Ruiyang Xie 15m
In modern high-energy physics experiments like ATLAS, the trigger system plays a crucial role in selecting which events are saved for further analysis. Traditionally, these triggers are designed to capture well-understood Standard Model signatures. However, rare or unexpected signals may evade such targeted selections.
This project focuses on calibrating a novel anomaly detection (AD) trigger—a powerful tool designed to tag unusual events that don't necessarily fit into pre-defined physics categories. I will walk you through how we study its behavior, identify overlaps with standard triggers, and build a calibration framework that will help reduce systematic uncertainties in future BSM searches.
Speaker: Ruiyang Xie (HKU) -
11:00
Break 15m
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Tanawin Devaveja 15m
DFX4ML: enable Dynamic Function eXchange for Machine Learning
In resource-constrained edge computing applications like satellites, autonomous vehicles, and wearable devices, power efficiency and hardware limitations are critical. FPGAs offer reconfigurability, but large ML models often exceed their capacity. This project tackles the issue by enabling dynamic Function eXecution (DFX), allowing efficient use of FPGA resources.I’m a master’s student at Chulalongkorn University, currently interning at edgespAIce@CERN. My thesis project, KATHRYN, is a hybrid hardware design and simulation framework that aligns closely with my CERN work, both aiming to generate flexible and efficient hardware.
Speaker: Tanawin Devaveja -
11:30
Samadhi Madurawalage Dona 15m
Hello, My name is Samadhi Nirmani Yasodara, and I have completed a Bachelor of Science (Honours) degree in Physics from the University of Ruhuna, Sri Lanka.
As a participant in the CERN Summer Student Programme, I worked on a project focused on the Small-strip Thin Gap Chambers (sTGC) of the ATLAS detector, in collaboration with the ATLAS group. My study focused on developing monitoring plots and analyzing historical data to identify and understand the causes of high-voltage instabilities in the sTGC chambers, contributing to improved diagnostics and long-term detector reliability.Speaker: Samadhi Madurawalage Dona (CERN) -
11:45
Don Primesh Anjana Kannangara 15m
Hello, my name is Primesh, and I have completed a Bachelor of Science (Honours) degree in Physics from the University of Colombo, Sri Lanka. I am currently participating in the CERN Summer Student Programme, working with the ATLAS experiment.
As part of my project, I am involved in the Tau Trigger efficiency measurement using the tag-and-probe method in Z→ττ events with 2024 data. My study focuses on evaluating the trigger efficiency and calculating the scale factors (SFs) for the tau25 trigger, using the offline medium working point.
Speaker: Don Primesh Anjana Kannangara (CERN)
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Student Session: Student Session - Day 3
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Angel Eseroghene Macaulay 15m
Angel Macaulay is a final year Mechanical Engineering of the University of Benin, Edo State, Nigeria. She is from Ughelli south local government area Delta state Nigeria. The LHCb VR project is aimed at creating a VR representation of the LHCb cavern using a powerful platform called NVIDIA Omniverse primarily to aid outreaches and visits at LHCb site. It is a fun way of learning about LHCb because it enables good visualization and user engagement while learning. It also promotes collaboration between various departments at CERN as meetings were held with PLM, CMS, Phoenix, LHCb cad design team and NVIDIA concerning this project.
Speaker: Angel Eseroghene Macaulay (CERN) -
09:15
Big Bang Nucleosynthesis: Deuterium Production in the Early Universe 15m
Through the concordance model of cosmology, it is possible to predict the primordial abundances of light elements within the framework of Big Bang Nucleosynthesis (BBN). These predictions agree remarkably well with observations of the primordial abundances of helium-4 and deuterium. Specifically, the deuterium abundance is strongly sensitive to nuclear reaction rates, such as $\text{D}+\text{D}\rightarrow\, ^3\text{He}+n$ or $\text{D}+\text{D}\rightarrow\text{T}+p$. By understanding in what energy ranges more precise measurements of these rates are needed, we hope to improve our knowledge of these rates to allow stronger cosmological inferences to be made from deuterium observations. These in turn allow us to make important improvements in estimating cosmological parameters such as $N_\text{eff}$, the effective number of neutrino species.
Speaker: Fatih Zgalj -
09:30
Analysis of Central Diffractive Events with the CMS Precision Proton Spectrometer (PPS) 15m
Hello! My name is Ash, I am a physics bachelors student from Canada entering my final year of studies.
In this talk, I present an analysis of central diffractive events in proton–proton collisions using the CMS Precision Proton Spectrometer (PPS). By tagging protons and reconstructing vertex positions via timing detectors, we explore a class of photon-mediated interactions in a non-perturbative QCD regime. We study kinematic distributions in data and simulation, applying event selection, timing correlations, event mixing, and sideband subtraction to estimate and separate background. This is among the first physics analyses using PPS to study central diffraction at LHC energies, providing new insights into a poorly modeled process.
Speaker: Ash Samra (University of Victoria (CA)) -
09:45
Hridyesh Gupta 15m
I’m a final-year Bachelor of Technology student from United Institute of Technology, India. I actively organize developer and wiki community events in my region as part of the Google Developer Group and Wikimedia initiatives. Currently, I’m working with the RCS-SIS department at CERN on the CERNipedia project, combining my passion for open source and community building.
CERNipedia is a centralized internal knowledge platform for CERN. It allows both internal contributors and external readers to access structured information about CERN’s people, departments, experiments, and terminology.
Speaker: Hridyesh Gupta -
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Break 15m
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Victor Clarizio Canelon - Characterization of new MPGD Prototypes for Application in Future Hadronic Calorimeters 15m
Hola! My name is Victor Clarizio, 29 years old and currently I'm finishing my Masters Degree in cosmic rays and high energy physics at the Universidad Central de Venezuela in Caracas, Venezuela. Also, I've been a lecturer at the very same university for about one year now. I like to go hiking, love to take pictures and sketch/paint, play football whenever I'm able to, and many other things! I feel honored to be here and to be part of CERN, and I will always treasure this enriching experience.
My project at CERN as Summer Student:
As part of the upcoming gaseous detector technologies, one that stands out from the rest are the Gas Electron Multiplier (GEM) detectors due to its versatility with most of gas fillings (including noble gases), proportional gains above 105, micrometric space resolution, typical energy resolution 18% FWHM at 5.9keV, low cost and robust technology. This presentation contains my work experience regarding the activities as a Non-Member State Summer Student from June, 16th to August, 8th 2025 working in the Gas Detector Development Lab (GDD) at CERN. Over the course of these weeks, I had a hands-on-work experience working on the assembly of MPGD prototypes and set up of a cosmic stand using a triple-GEM detector, alongside my direct supervisor Anna Stamerra and the rest of the team. At the end of the program, I gained invaluable researching experience and skills on experimental physics, instrumentation and data analysis applied to gaseous detectors and MPGD technologies.
Speaker: Victor Clarizio Canelon -
10:30
Lucia Barreiro Rius - Missing energy signals from b-flavored hadrons at FCCee 15m
b-flavored hadrons decaying into a final state containing missing energy are of key importance to flavor physics, particularly in searches for new physics. In this context, electron-positron colliders running at the Z peak offer key conditions to explore this type of decays due to their clean environment and also because the initial energy is known. Given the high interest on a future TeraZ factory at FCCee, the aim of this project is to explore the type of signals that could be probed with 10^12 Z bosons, specifically very suppressed SM decays and also BSM decays hitting the dark sectors (axion-like particles, dark photons), as well as deeply understand the backgrounds for this measurements.
Speaker: Lucia Barreiro Rius -
10:45
Walter Jose Troiani Vargas - Use of LLM based chatbots for industrial control support 15m
This presentation focuses on harnessing Large Language Models (LLMs) to enhance industrial control software support and reduce the onboarding complexity for first-line support users. By consolidating dispersed knowledge, we construct a centralized knowledge base, which can be used for further training or even Retrieval-Augmented Generation (RAG) techniques.
Speaker: Walter Jose Troiani Vargas -
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Break 15m
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Diego Hugo Vega Garcia 15m
Study of the Efficiency in Simulations of a Rare B-Meson Decay
Application to Phase 2 of the CMS ExperimentHi, I’m Diego Vega from Bolivia. I’m an undergraduate Physics student at Universidad Mayor de San Andrés, doing my thesis on cosmic rays, focusing on the ALPACA experiment with simulations of extensive air showers.
My project consisted of studying the efficiency in simulations of rare B-meson decays, specifically in $B \rightarrow J/ \psi(e^{-}e^{+}) K$ , where the aim is to investigate the electron decay channel in the context of the CMS Phase-2 Upgrade. This way we will be able to trigger on hadrons. This task is investigating how much we can use tracks to reduce the rate so we can collect rare B decays.
Speaker: Diego Hugo Vega Garcia -
11:30
Exploration of Boosted VBF HH Production Decaying to bbgg at the ATLAS Experiment 15m
Hello! I’m Zhoie, a first year master’s student in physics studying at the University of the Philippines Diliman. I joined the High Energy Physics and Phenomenology group at the National Institute of Physics during my third undergraduate year and have been conducting research in particle physics ever since.
Di-Higgs production provides direct sensitivity to the Higgs self coupling parameter. My project focuses on the HH → bbgg channel, which has a relatively high branching ratio but is challenging due to the overwhelming QCD background in the H → gg decay. This analysis uses Monte Carlo simulations to study the separation between H → bb and H → gg jets using jet substructure variables, and to improve their discrimination against the background using track multiplicity cuts and BDT-based tagging.
Speaker: Zhoie Tan Lamanero (University of the Philippines Diliman (PH)) -
11:45
Reem Ahmed Aqel Al-Dywailah 15m
About ME:
My name is Reem, from the United Arab Emirates. I am currently pursuing a Master's degree in Physics at the University of Sharjah, after completing a Bachelor's degree in Physics at Sorbonne University.About My Project:
As part of my current research, I am contributing to the LHCb experiment at CERN, focusing on the study of cross-talk between pads in the G-RWELL detector, an advanced technology under development for the LHCb Upgrade II. This work plays a role in the preparation for Run 5 of the High-Luminosity LHC (HL-LHC), planned for 2035.Speaker: Reem Ahmed Aqel Al-Dywailah (CERN)
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