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<!DOCTYPE html>
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<title>Nikolaos (Nikos) Nikolaou</title>
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<body>
<nav>
<ul>
<li><a href="/">Home</a></li>
<li><a href="/cv">CV</a></li>
<li><a href="/publications">Publications</a></li>
<li><a href="/presentations">Presentations</a></li>
<li><a href="/interests">Interests</a></li>
<li><a href="/students">Students</a></li>
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<div class="container">
<div class="blurb">
<h1>Nikolaos (Nikos) Nikolaou</h1>
<h2><font color="red">Available PhD Opportunities</font></h2>
<p>Applications for the September 2025 cohort of UCL's CDT in Data Intensive Science (UCL CDT-DIS) are now <a href="https://www.ucl.ac.uk/data-intensive-science-industry/study-here">open</a>!
We offer a 4-year PhD programme, at the intersection of Machine Learning / Artificial Intelligence & Physics, with multiple training & industrial placement opportunities!
<br>
<br>
<br>I am offering 3 CDT-DIS (4yr PhD) projects:
<br>1) <a href="https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/causal_representation_learning_in_astrophysics_and_beyond.pdf">Causal representation learning in astrophysics and beyond</a> (applications: Cosmology, Exoplanetary Science), with Prof. Ofer Lahav
<br>2) <a href="https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/ph.dstudentshiplong1.pdf">Exotic forms of matter interaction of modules with intense laser pulses and machine learning techniques for efficient prediction of ultrafast phenomena</a> (application: Molecular Dynamics), with Prof. Agapi Emmanouilidou
<br>3) <a href="https://www.ucl.ac.uk/data-intensive-science-industry/study-here/available-phd-projects#">Discovering causal relationships governing biomolecular dynamics</a> (applications: Biomolecular Dynamics, Pharmaceutics), with Prof. Edina Rosta
<br>
<br>
<br>I am also offering a 3yr PhD project at the UCL Astrophysics group (<a href="https://www.ucl.ac.uk/astrophysics/postgraduate-study">Apply here</a>):
<br><a href="https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/cdt_proposal_uncertainty_interpretability_nikos_nikolaou.pdf">Exploring the interplay of machine learning model uncertainty quantification & model interpretability</a> (applications: Exoplanetary Science, Medical Imaging), with Prof. Ingo Waldmann
<br>Anyone interested is welcome to apply and/or contact me for more details.
</p>
<!--<p>Applications for the September 2024 cohort of UCL's CDT in Data Intensive Science (UCL CDT-DIS) are now <a href="https://www.ucl.ac.uk/data-intensive-science-industry/study-here">open</a>!
We offer a 4-year PhD programme, at the intersection of Machine Learning / Artificial Intelligence & Physics, with multiple training & industrial placement opportunities!
<br>
<br>I am offering 2 projects:
<br>1) <a href="https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/cdt_proposal_uncertainty_interpretability_nikos_nikolaou.pdf">Exploring the interplay of machine learning model uncertainty quantification & model interpretability</a> (applications: Exoplanetary Science, Medical Imaging), with Prof. Ingo Waldmann
<br>2) <a href="https://www.ucl.ac.uk/data-intensive-science-industry/sites/data_intensive_science_industry/files/cdt_long_proposal_causality_ofer_lahav.pdf">Causal discovery & inference in astrophysics</a> (applications: Cosmology, Exoplanetary Science), with Prof. Ofer Lahav
<br>Anyone interested is welcome to apply and/or contact me for more details.
</p>-->
<hr>
<h2>Student Supervision</h2>
<p>I have (co-)supervised or I am currently (co-)supervising 7 PhD students, 38 MSc Students, 1 BSc student summer project
& 4 industrial placement group projects involving 9 PhD students (listed below). Several of my students' projects have received prizes (5 MSc & 1 PhD) and/or
led to publications, with more under preparation. Unless otherwise specified, all my students were from UCL P&A.
<br>
<br> Students wishing more details added (project title, current affiliation, links etc.), please get in touch.
</p>
<hr>
<br><big><b>PhD Students</b></big>
<ul style="list-style-type:square">
<li>Main supervisor:</li>
<ul style="list-style-type:disc">
<li><b>James K. Ray</b> - <i>Interpretable galaxy imaging from large surveys using supervised & unsupervised machine learning</i> (2022-present)</li>
<li><b>Jools D. Clarke</b> - <i>Investigating performance, interpretability & resource efficiency trade-offs of machine learning models for exoplanet data</i> (2023-present)</li>
<li><b>Emily Lewis</b> - <i> Physics-informed neural networks for accelerating plasma simulations on the JET fusion reactor</i> (2024-present)
<br>Co-supervised by Dr. Stanislas Pamela at UKAEA. Currently in her final year, took over supervision from Yiannis Andreopoulos after he left UCL.</li>
<li><b>Tara Tahseen</b> - <i>Using deep learning to model complex chemistries of exoplanet atmospheres</i> (2024-present)
<br>Co-supervised by Prof. Giovanna Tinetti. Currently in her 3rd year, took over supervision from Ingo Waldmann while on his secondment.</li>
</ul>
<br>
<li>Co-supervisor:</li>
<ul style="list-style-type:disc">
<li><b>Paul Nathan</b> - <i>Anomaly detection in DESI spectra using autoencoders and other machine learning techniques</i> (2022-present)
<br>Main supervisor: Ofer Lahav</li>
<li><b>Alex Saoulis</b> - <i>Simulation-Based Inference for Seismic Source Inversion</i> (2022-present)
<br>Main supervisors: Benjamin Joachimi, Ana Ferreira</li>
<li><b>Max Hipperson</b> - <i>Characterising the surfaces of solar system planets using deep learning</i> (2019-present)
<br>Main supervisor: Ingo Waldmann</li>
<li><b>Mario Morván</b> - <i>Deep learning, shallow dips: transit light curves have never been so trendy</i> (2018-22)
<br><b><i><font color="red">*UCL Physics & Astronomy Jon Darius Memorial Prize 2022*</font></i></b>
<br>Main supervisor: Ingo Waldmann</li>
<li><b>Kai Hou (Gordon) Yip</b> - <i>Expect the unexpected: deciphering exoplanetary signals with machine learning techniques</i> (2018-21)
<br>Main supervisor: Giovanna Tinetti</li>
</ul>
<br>
<li>Auxiliary Supervisor:</li>
<ul style="list-style-type:disc">
<li><b>Angelos R. Nikolopoulos</b> (2022-present, Electrical and Electronic Engineering, University of Southampton)
<br>Main supervisor: Efstratios Batzelis</li>
</ul>
<br>
<li>Visiting PhD Students</li>
<ul style="list-style-type:disc">
<li><b>Mengfei Sun</b> (2024-present, School of Astronomy and Space Science, Nanjing University)
<br>Main supervisor: Jiwei Xie</li>
</ul>
<br>
<li>UCL Supervisor of 3-month <a href="https://www.ucl.ac.uk/data-intensive-science-cdt/">CDT-DIS</a> Industrial Partner Group Projects</li>
<ul style="list-style-type:disc">
<li><b>Toby Dixon</b>, <b>Dakshesh Kololgi</b> & <b>Jason Ran</b> (2024, UCL Computational Radiation Biology & Oncology Lab)</li>
<li><b>Antónia Vojteková</b>, <b>James K. Ray</b> & <b>Noah C. Hall</b> (2023, The London Data Company)</li>
<li><b>Philipa Duckett</b> & <b>Matthew Docherty</b> (2022, ASOS)</li>
<li><b>Petr Mánek</b> & <b>Graham Van Goffrier</b> (2020, UKAEA)</li>
</ul>
</ul>
<br>
<br><big><b>MSc Students</b></big>
<ul style="list-style-type:square">
<li>Main supervisor:</li>
<ul style="list-style-type:disc">
<li><b>Metehan Ali</b> - <i>Uncertainty Quantification & Interpretability of CNN and ViT Models for Colorectal Histopathology Tissue Classification</i> (2024-25)</li>
<li><b>Ines Cocco</b> - <i>Uncertainty quantification & interpretability of deep learning models for skin lesion classification</i> (2024-25)</li>
<li><b>Cesar Cornejo Tyson</b> - <i>Uncertainty quantification & interpretability of deep learning models for the diagnosis of retinopathy of prematurity</i> (2024-25)</li>
<li><b>Zara Ercan</b> - <i>Optimising the Beta Poloidal Parameter in Fusion Reactors using Ensemble Machine Learning Methods</i> (2024-25)</li>
<li><b>Hanan Alaskar</b> - <i>Uncertainty quantification & interpretability of machine learning models for medical imaging (TBD)</i> (2024-25)</li>
<li><b>Jiayu Wang</b> - <i>Uncertainty quantification & interpretability of machine learning models for medical imaging (TBD)</i> (2024-25)</li>
<li><b>Linfang Guo</b> - <i>Uncertainty quantification & interpretability of machine learning models for medical imaging (TBD)</i> (2024-25)</li>
<li><b>Tianyu Zhang</b> - <i>Uncertainty quantification & interpretability of machine learning models for medical imaging (TBD)</i> (2024-25)</li>
<li><b>Xinyuan Chen</b> - <i>Machine Learning Models for Conditional Galaxy Generation</i> (2024-25)</li>
<li><b>Xingyue Li</b> - <i>Machine Learning Models for Causal Inference in Galaxy Properties</i> (2024-25)</li>
<li><b>Daniel Kornai</b> - <i>Machine Learning Methods for Causal Discovery in Observational Time Series Data</i> (2023-24)</li>
<li><b>Yutong (Ester) Li</b> - <i>Interpretable Deep Learning Models for Retinopathy Severity Classification</i> (2023-24)
<br><b><i><font color="red">*UCL Physics & Astronomy Harrie Massey Prize in Scientific and Data Intensive Computing (Best Overall MSc Student) 2024*</font></i></b>
<br><b><i><font color="red">*UCL MAPS Postgraduate (MSc) Innovation and Enterprise Prize 2024*</font></i></b></li>
<li><b>Shiyuan Fang</b> - <i>Diagnosis of COVID-19 Pulmonary Infections Using an Interpretable Deep Learning Model</i> (2023-24)</li>
<li><b>Yu Fan</b> - <i>Investigating the Effects of Feature Selection and Calibration on Breast Cancer Survival Analysis</i> (2023-24)</li>
<li><b>Xilin Chen</b> - <i>Impact of Dataset Differences on Breast Cancer Survival Analysis</i> (2023-24)</li>
<li><b>Mengni Wang</b> - <i>Generative models of galaxy images</i> (2022-23)</li>
<li><b>Yanwenjing Qu</b> - <i>Generative models of galaxy images</i> (2022-23)</li>
<li><b>Runyang You</b> - <i>Improving the efficiency of exoplanet atmosphere characterization with active learning and knowledge distillation</i> (2022-23)
<br><b><i><font color="red">*UCL Physics & Astronomy Harrie Massey Prize in Scientific and Data Intensive Computing (Best Overall MSc Student) 2023*</font></i></b></li>
<li><b>Ruichen Pan</b> - <i>Model interpretability exploration of exoplanet characterization models</i> (2022-23)</li>
<li><b>You Zuo</b> - <i>Transfer learning for short-term photovoltaic generation forecasting with deep neural networks</i> (2022-23)
<br><b><i><font color="red">*UCL MAPS Postgraduate (MSc) Innovation and Enterprise Prize 2023*</font></i></b></li>
<li><b>Yumeng Liu</b> - <i>Improving machine learning models for treatment effect estimation with data augmentation</i> (2022-23)</li>
<li><b>Congxu Zhao</b> - <i>Interpreting the predictions of machine learning models for treatment effect estimation</i> (2022-23)</li>
<li><b>Jingyao Li</b> - <i>Examining the influence of the base-learner for treatment effect estimation</i> (2022-23)</li>
<li><b>Tianxi Wen</b> - <i>Interpreting vision transformers for melanoma classification using GradCAM</i> (2022-23)</li>
<li><b>Wenteng Ma</b> - <i>Interpreting vision transformers for melanoma classification from skin lesion images using attention maps</i> (2022-23)</li>
<li><b>Xinyi Hu</b> - <i>Dimensionality reduction for breast cancer survival prediction</i> (2022-23)</li>
<li><b>Duojiao Mu</b> - <i>Interpreting models for breast cancer survival prediction</i> (2022-23)</li>
<li><b>Yasona Neocleous</b> - <i>Interpretable machine learning models for melanoma classification from skin lesion images</i> (2022-23)
<br><b><i><font color="red">*UCL Physics & Astronomy Brian Duff Memorial Prize (Best MSci Project) 2023*</font></i></b></li>
<li><b>Yahya Scerbo</b> (2021-22, Industry-based MSc research project at ASOS)</li>
<li><b>Rohit Sekhar</b> (2021-22, Industry-based MSc research project at ASOS)</li>
<li><b>Bowen Ding</b> (2021-22, Industry-based MSc research project at ASOS)</li>
</ul>
<br>
<li>Co-supervisor:</li>
<ul style="list-style-type:disc">
<li><b>Yimeng (Erie) Fang</b> - <i>Machine Learning for Predicting Ionization Channels Interacting with High Photon Energy Pulses</i> (2024-25)
<br>Main supervisor: Agapi Emmanouilidou</li>
<li><b>Abdurrahman Arosi</b> - <i>Open source methods for parallel 3D Watershed segmentation</i> (2023-24)
<br>Industry-based MSc research project at BP</li>
<li><b>Longwen Hu</b> - <i>Tweet classification for OSR topics</i> (2022-23)
<br>Industry-based MSc research project at the Office for Statistics Regulation, UK</li>
<li><b>Cristian Ignat</b> - <i>Finding exoplanets using direct imaging and deep learning</i> (2019-20)
<br><b><i><font color="red">*UCL Physics & Astronomy Tessella Prize 2020*</font></i></b>
<br>Main supervisor: Ingo Waldmann</li>
<li><b>Adipol Phosrisom</b> - <i>Large-Scale structure cosmology with the KiDS survey</i> (2019-20)
<br> Main supervisor: Benjamin Joachimi</li>
</ul>
<br>
<li>Auxiliary Supervisor:</li>
<ul style="list-style-type:disc">
<li><b>Jacob G. Ellen</b> (2020-21)
<br>UCL; Industry-based MSc Project at AstraZeneca, Main supervisor: Natasha Markuzon</li>
<li><b>Nour Skaf</b> (2019-20)
<br>Imperial College London; Visiting Student at UCL, Main supervisor: Ingo Waldmann</li>
</ul>
</ul>
<br>
<br><big><b>BSc Students</b></big>
<ul style="list-style-type:square">
<li><b>Yasona Neocleous</b> (2022, 3rd Year DIS CDT Summer Project Supervisor)</li>
</ul>
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<li><a href="mailto:[email protected]">Email</a></li>
<li><a href="https://github.com/nnikolaou">Github</a></li>
<li><a href="https://www.linkedin.com/in/nikos-nikolaou-60931986/">LinkedIn</a></li>
<li><a href="https://www.researchgate.net/profile/Nikos_Nikolaou5">Researchgate</a></li>
<li><a href="https://scholar.google.com/citations?user=R6b6Rp8AAAAJ&hl=en">Google Scholar</a></li>
<li><a href="https://www.ucl.ac.uk/astrophysics/people/dr-nikolaou-nikolaos-research-associate">Contact</a></li>
<li><a href="http://www.cs.man.ac.uk/%7Enikolaon/index.html">Manchester Page</a></li>
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