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<title>Nikolaos (Nikos) Nikolaou</title>
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<li><a href="/cv">CV</a></li>
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<h1>Nikolaos (Nikos) Nikolaou</h1>
<h2>Academic CV</h2>
<hr>
<br>
<blockquote>
<big><big><b><font color="blue">Education</font></b></big></big></font>
<br><big><b>2016</b> PhD in Computer Science, University of Manchester, UK</big>
<br><big><b>2012</b> MSc (Distinction) in Artificial Intelligence (Machine Learning), University of Edinburgh, UK</big>
<br><big><b>2011</b> 5-year Diploma in Electrical & Computer Engineering, Technical University of Crete, Greece </big>
<br>
<br><big><b>2022-2023</b> Standalone PG Courses from MSc in Genomic Medicine, University of Exeter, UK </big>
<br> • <i>Fundamentals in Human Genetics and Genomics</i>
<br> • <i>Bioinformatics, Interpretation and Data Quality Assurance in Genome Analysis</i>
<br><br><br>
<big><big><b><font color="blue">Fellowships, Scholarships & Awards</font></b></big></big></font>
<br><b>2018</b> <i>NVIDIA GPU Grant</i>
<br><b>2017</b> <i>Best of Computing, Notable Article of 2016</i> (Selected by ACM)
<br><b>2017</b> <i>Steve Furber Medal (Outstanding Doctoral Thesis Award)</i>, School of CS, University of Manchester, UK
<br><b>2016</b> <i>Carole Goble Medal (Best Doctoral Student Paper Award)</i>, School of CS, University of Manchester, UK
<br><b>2016</b> <i>EPSRC Doctoral Prize Fellowship</i>
<br><b>2015</b> <i>Best Poster Award</i>, INIT/AERFAI Summer School on Machine Learning, Benicàssim, Spain
<br><b>2012-2016</b> <i>EPSRC Scholarship for PhD Studies in Computer Science CDT</i>, University of Manchester, UK
<br><b>2011-2012</b> <i>PSAS Award for M.Sc. Studies</i> in Artificial Intelligence, University of Edinburgh, UK
<br><br><br>
<big><big><b><font color="blue">Research Experience</font></b></big></big></font>
<br><b>2022-now</b> Lecturer (Assistant Professor) at UCL
<br><b>2021-2022</b> Senior Data Scientist at AstraZeneca
<br><b>2021-2022</b> Honorary Senior Research Fellow at UCL
<br><b>2019-2021</b> Research Fellow at UCL-CSED
<br><b>2018-2021</b> Senior Research Fellow at UCL
<br><b>2018-2020</b> Visiting Researcher at the University of Manchester
<br><b>2016-2018</b> EPSRC Doctoral Prize Fellow in the University of Manchester
<br><b>2016</b> Research Associate in the EPSRC funded LAMBDA project
<br><b>2012-2016</b> PhD in Machine Learning (<i>Cost-Sensitive Boosting: A Unified Approach</i>)
<br><br><br>
<big><big><b><font color="blue">Teaching Experience </font></b></big></big></font>
<br><big><b>Module Lead</b></big>
<br><b>2022-now</b> PHAS0077 - <i>MSc Research Project for <a href="https://www.ucl.ac.uk/physics-astronomy/study/postgraduate-degrees/msc-scientific-and-data-intensive-computing">MSc in Scientific and Data Intensive Computing, UCL</a></i> (PG)
<br><b>2022-now</b> <i>Introduction to Machine Learning</i>, UCL (annual 5-day intensive course for UCL P&A PhD & MSc students)
<br>
<br><big><b>Teaching Assistant or Invited Lecturer</b></big>
<br><b>2019-2021</b> PHAS0068 - <i>Physics of Exoplanets</i>, UCL (UG)
<br><b>2014-2016</b> COMP61011 - <i>Foundations of Machine Learning</i>, University of Manchester (PG)
<br><b>2014-2016</b> COMP61021 - <i>Modelling and Visualization of High-dimensional Data</i>, University of Manchester (PG)
<br><b>2014-2016</b> COMP24112 - <i>Introduction to Machine Learning</i>, University of Manchester (UG)
<br><b>2013-2016</b> COMP26120 - <i>Algorithms and Imperative Programming</i>, University of Manchester (UG) [part-time]
<br><b>2013-2016</b> COMP14112 - <i>Fundamentals of Artificial Intelligence</i>, University of Manchester (UG)
<br><br><br>
<big><big><b><font color="blue">Administrative Roles</font></b></big></big></font>
<br><b>2024-now</b> Director of Admissions, <a href="https://www.ucl.ac.uk/data-intensive-science-cdt/">UCL's CDT in Data Intensive Science (CDT-DIS)</a>
<br><b>2022-now</b> Director of Training, <a href="https://www.ucl.ac.uk/data-intensive-science-cdt/">UCL's CDT in Data Intensive Science (CDT-DIS)</a>
<br><b>2022-now</b> Deputy Director, <a href="https://www.ucl.ac.uk/physics-astronomy/study/postgraduate-degrees/msc-scientific-and-data-intensive-computing">MSc in Scientific and Data Intensive Computing, UCL</a></i>
<br><br><br>
<big><big><b><font color="blue">Student Supervision </font></b></big></big></font>
<br>(Co-)Supervised or currently (co-)supervising 7 PhD students, 26 MSc/MSci Students, 1 BSc student summer project
& 3 industrial placement group projects involving 9 PhD students. See my <a href="/students">Students</a> page for a list.
<br><br><br>
<big><big><b><font color="blue">Scientific Society Memberships</font></b></big></big></font>
<br>Fellow of the Royal Statistical Society
<br><br><br>
<big><big><b><font color="blue">Other Academic Activities</font></b></big></big></font>
<br>Reviewed > 50 papers for journal & conference articles for >20 prestigious international venues (listed below).
<br>
<br><big><b>Journal Reviewer</b></big>
<br> • Pattern Analysis and Applications (PAAA), IEEE
<br> • New Astronomy, Elsevier
<br> • Data Mining and Knowledge Discovery, Springer
<br> • Experimental Astronomy, Springer
<br> • Transactions on Knowledge and Data Engineering (TKDE), IEEE
<br> • Monthly Notices of the Royal Astronomical Society (MNRAS), Springer
<br> • Mathematics and Computers in Simulation, Springer
<br> • Machine Learning, Springer
<br> • Transactions on Neural Networks and Learning Systems (TNNLS), IEEE
<br> • Transactions on Emerging Topics in Computational Intelligence (ETCI), IEEE
<br> • Neurocomputing, Elsevier
<br>
<br><big><b>Conference Committees (Reviewer)</b></big>
<br> • S+SSPR (2024)
<br> • IJCAI (2024; 2021)
<br> • ECML (2024)
<br> • PharML: Machine Learning for Pharma and Healthcare Applications (2020, 2022, 2023)
<br> • LOD (2023)
<br> • ICLR (2022)
<br> • ELECTRIMACS (2019)
<br> • AAAI (2019)
<br> • ICPR (2018)
<br> • ESANN (2015-2017)
<br>
<br><big><b>Organizer</b></big>
<br> • Co-organizer, NeurIPS Data Challenge: “Extracting exoplanetary signals from the Ariel Space Telescope”, 2024
<br> • Main Organizer, UCL MAPS I&E Workshop: "AI/ML for Medical Diagnosis & Treatment", 2024
<br> • Co-organizer, ECML Discovery Challenge: “Inferring Physical Properties of Exoplanets From Next-Generation Telescopes”, 2023
<br> • Co-organizer, NeurIPS Data Challenge: “Inferring Physical Properties of Exoplanets From Next-Generation Telescopes”, 2022
<br> • Co-organizer, ECML Discovery Challenge: “2nd Ariel Mission Machine Learning Challenge: Correcting Transiting lightcurves of exoplanets from non-linear noise”, 2021
<br> • PC Member, Conference: International Joint Conference on Artificial Intelligence (IJCAI) (2021)
<br> • PC Member, Workshop: "PharML: Machine Learning for Pharma and Healthcare Applications" (2020-2021)
<br> • Main Organizer: ECML Discovery Challenge, “1st Ariel Mission Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots",2019
<br><br><br>
<big><big><b><font color="blue">Invited talks, Lectures & Conference presentations</font></b></big></big></font>
<br>More than 40 talks, delivered to audiences of various technical levels (from non-technical, to world-class expert) in fields ranging from machine learning & statistics to physics & pharmaceutics/biomedicine. Audience sizes ranging from ∼10 to ∼1000 participants. For a fairly outdated list see my <a href="/presentations">Presentations</a> page.
<br><br><br>
<big><big><b><font color="blue">Languages</font></b></big></big></font>
<br><b>Greek</b> (Native), <b>English</b> (Fluent),
<br><b>Spanish</b> (Proficient), <b>French</b> (Proficient),
<br><b>Italian</b> (Advanced), <b>Mandarin</b> (Elementary)
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<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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