{"id":124,"date":"2012-11-24T11:54:55","date_gmt":"2012-11-24T11:54:55","guid":{"rendered":"http:\/\/195.130.121.171\/akaloger\/?page_id=124"},"modified":"2026-01-30T18:32:37","modified_gmt":"2026-01-30T18:32:37","slug":"ta-and-supervision","status":"publish","type":"page","link":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/","title":{"rendered":"Supervision &#038; Teaching"},"content":{"rendered":"<h1 align=\"justify\">Supervision<\/h1>\n<ul>\n<li><a href=\"http:\/\/www.gaetanserre.fr\/\">Ga\u00ebtan Serr\u00e9<\/a> on optimization (co-supervision of PhD thesis with <a href=\"https:\/\/nvayatis.perso.math.cnrs.fr\/\">Nicolas Vayatis<\/a>).<\/li>\n<li><a href=\"https:\/\/centreborelli.ens-paris-saclay.fr\/fr\/annuaire-des-personnes\/gwendal-debaussart\">Gwendal Debaussard<\/a> on Graph machine learning.<\/li>\n<li><a href=\"https:\/\/www.linkedin.com\/in\/eloi-campagne-2391381b8\/\">Eloi Campagne<\/a> on Time-series forecasting for electrical load (co-supervision of Cifre PhD thesis with <a href=\"https:\/\/sites.google.com\/site\/mougeotmathilde\/\">Mathilde Mougeot<\/a>, <a href=\"https:\/\/www.yvenn-amara.com\/\">Yvenn Aamara-Ouali<\/a> and <a href=\"https:\/\/www.imo.universite-paris-saclay.fr\/~yannig.goude\/about.html\">Yannig Goude<\/a> from EDF).<\/li>\n<li>Gaspard Abel on Data-driven and model-driven analysis of social dynamical systems (co-supervision of PhD thesis with <a href=\"https:\/\/centreborelli.ens-paris-saclay.fr\/fr\/annuaire-des-personnes\/julien-randon-furling\">Julien Randon-Furling<\/a> (ENS P.S.) and <a href=\"http:\/\/www.lps.ens.fr\/~nadal\/\">Jean-Pierre Nadal<\/a> (EHESS)).<\/li>\n<\/ul>\n<div align=\"justify\">\n<h3 style=\"text-align: justify;\" align=\"justify\">(Co-)Supervision of research internships at ENS Paris-Saclay<\/h3>\n<\/div>\n<h4>2025<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Yutai Zhao (M2 MHPC P.S.) on stream diversification (Apr\u2013Oct).<br \/>\nMahdi Hadj Taieb (M1 ENSTA Paris) on modeling and learning from social network activity (Jun-Aug).<\/li>\n<li>Itai Zehavi (M1 ENS P.S. ARIA) on large-scale electricity forecasting (Feb-July, in collaboration with EDF).<\/li>\n<li>Yann Moinard and Nidhal Sellik (L3 ENS P.S. Maths) on particle-based global optimization schemes (Mar-Jun).<\/li>\n<\/ul>\n<h4>2024<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Yutai Zhao (M2 MHPC P.S.) on stream diversification (Apr\u2013Oct).<\/li>\n<li>Mahdi Hadj Taieb (M1 ENSTA Paris) on modeling and learning from social network activity (Jun-Aug).<\/li>\n<li>Itai Zehavi (M1 ENS P.S. ARIA) on large-scale electricity forecasting (Feb-May, in collaboration with EDF).<\/li>\n<li>Yann Moinard and Nidhal Sellik (L3 ENS P.S. Maths) on particle-based global optimization schemes (Mar-Jun).<\/li>\n<li>Predoi Silviu-Adrian (M1 ENS Physics, Apr \u2013 Sep) on graph-based clustering.<\/li>\n<li>Tokinirina Hansen and Yorick Libiot (L3 ENS Maths, Apr \u2013 Jun) on random walk dynamics.<\/li>\n<\/ul>\n<h4>2023<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Jeanne Belly (ENS P.S. ARIA M1) on social network study of propagation phenomena.<\/li>\n<li>Teo Tessier (ENS P.S. ARIA M1) on graph generation methods.<\/li>\n<li>Perceval Beja-Battais (M2 MVA) work on learning theory, boosting, etc.<\/li>\n<li>Ga\u00ebtan Serr\u00e9 (M2 MVA) on global optimization.<\/li>\n<li>Gwendal Debaussart (M2 MVA) on statistical machine learning.<\/li>\n<li>Eloi Campagne (M2 MVA) on time-series analysis and prediction (colab. with EDF).<\/li>\n<li>Gaspard Abel (M2 ENS PS Physics) on information diffusion (co-supervision with Jean-Pierre Nadal, EHESS).<\/li>\n<li>Mohamed Aymen Bouyahia (M1 ENSTA Paris) on interpretable ML.<\/li>\n<li>Abdeljalil Zoubir (UM6P, visiting PhD student from Morocco, Apr \u2013 July) on graph neural networks with application to chemical compounds (co-supervision with <span style=\"color: black;\" data-darkreader-inline-color=\"\">Badr Missaoui<\/span> (UM6P, Morocco).<\/li>\n<li>Manon Gouttefangeas and David Pieroucci (L3 ENS Maths, Apr \u2013 Jun) on paired sample hypothesis testing (co-supervision with I. Bargiotas and N. Vayatis).<\/li>\n<li>Quentin Boiret and Amer Essakine (L3 ENS Maths, Apr \u2013 Jun) on graph neural networks for time series.<\/li>\n<\/ul>\n<h4>2022<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Jules Tsukahara (M2 MVA) on graph representation learning.<\/li>\n<li>Florian Ch\u00e2tel (L3 Maths, ENS Paris-Saclay) on interpretable ML.<\/li>\n<li>Antonin Casel and Ilyes Belkacem (L3 Maths, ENS Paris-Saclay) on unsupervised learning on graphs.<\/li>\n<li>Gaspard Abel on competitive diffusion processes (co-supervision of M1 internship at UCL).<\/li>\n<li>Ivan Conjeaud (co-supervision of M2 internship at PSE) on a game theoretic problem on graphs.<\/li>\n<li>Haytham Borchani (M1 ENSTA Paris) on interpretable ML.<\/li>\n<\/ul>\n<h4>2021<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Gaspard Abel (M1 Economics, ENS Paris-Saclay) on competition in epidemic systems.<\/li>\n<li>Timoth\u00e9 Chamb\u00e9ry and Alexandre Surin (L3 Maths, ENS Paris-Saclay) on graph-theoretical problems.<\/li>\n<li><span class=\"p-view_header__truncated_text\"><span class=\"p-view_header__member_name\">Fr\u00e9d\u00e9ric Zheng (M1 Mines-Paristech) on ensemble learning.<\/span><\/span><\/li>\n<li><span class=\"p-view_header__truncated_text\"><span class=\"p-view_header__member_name\">Martin Graive (M2 MVA) on epidemics in micro-communities.<\/span><\/span><\/li>\n<li>Ivan Conjeaud (M1 Economics, ENS Paris-Saclay) on the second phase of the work on opinion formation and dynamics, etc. (M1 internship, collaboration with Max Plank Institute).<\/li>\n<li>Frederic Zheng on Boosting.<\/li>\n<\/ul>\n<h4>2020<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Baptiste Loreau and Wendong Liang (Maths Paris-Saclay) on Topological Data Analysis and possible applications on graphs (L3 internship).<\/li>\n<li>Randa El Mrabet-Tarmach (Master MVA) on data clustering. (MVA M2 internship).<\/li>\n<li>Kais Cheikh (ENSTA Paris) on budgeted learning. (M1 internship).<\/li>\n<li>Mohamed El Khames (ENSTA Paris) on segmentation of graph streams. (M1 internship).<\/li>\n<li>Ivan Conjeaud (Dpt Economics, ENS Paris-Saclay) on opinion formation and dynamics, polarization and competitive epidemics. (M1 internship).<\/li>\n<li>Martin Dhaussy (Dpt Economics, ENS Paris-Saclay) on a COVID-19 related project, epidemic control. (L3 internship).<\/li>\n<li>Thibaut Germain on a COVID-19 related project, generation of realistic contact networks. (volunteer collaborator).<\/li>\n<\/ul>\n<h4>2019<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Alexandro de la Concha on change point detection for graph data<\/li>\n<li>Anthea M\u00e9rida on ensemble methods and interpretable ML<\/li>\n<li>Amel Addala on a problem related to simulations of harmonic perturbations in EDF\u2019s power network using Machine Learning. (supervision of M2 internship, 2019).<\/li>\n<li>Rafael Gromit and Blandine Galiay on sequential selection processes over graphs <span style=\"font-weight: 400;\">(L3, 2019).<\/span><\/li>\n<li>Vincent Laheurte and Ferdinand Campos will work on statistical homogeneity testing <span style=\"font-weight: 400;\">(L3, 2019).<\/span><\/li>\n<\/ul>\n<h4>2018<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Antoine Prouff and Antoine Bordas on greedy dynamic resource allocationstrategies (L3 internship, 2018).<\/li>\n<li>Emile Ciuperca and Mathieu Helfter on graph signals and graph kernels (L3 internship, 2018).<\/li>\n<li>Thales Loiola Raveli will be working on the modeling of transportation traffic (intern from ENSTA Paritech, 2018).<\/li>\n<\/ul>\n<h4>2017<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Marin Scalbert on modeling and mining from railway traffic data (BSc internship, 2017).<\/li>\n<li>Matteo Neri on studying the diffusive properties of perturbations in transportation networks (supervision of M2 internship, 2017).<\/li>\n<li>Mathilde Fekom on seeing the diffusion control in an online decision making framework (supervision of M2 internship, 2017).<\/li>\n<li><span class=\"il\">Ot\u00e1vio<\/span> Leite Bastos de Nazar\u00e9 on financial networks and default propagation (intern from ENSTA Paritech, 2017).<\/li>\n<\/ul>\n<h4>2016<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Luca Corinzia, on spectral methods for suppressing Information Cascades, (M2 internship, 2016).<\/li>\n<li>Stefano Sarao, on extensions of SIS model and LRIE strategy for social diffusion control, (M2 internship, 2016).<\/li>\n<li>Xavier Lioneton, on clustering twitter propagation data, (M2 internship, 2016).<\/li>\n<\/ul>\n<h4>2015<\/h4>\n<ul style=\"text-align: justify;\">\n<li style=\"text-align: justify;\">Suzanne Schlich and <span style=\"font-weight: 400;\">Julie Tourniaire, on feature engineering and clustering of url progation profiles on twitter (L3 internship, 2015).<\/span><\/li>\n<li style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Pierre Abgrall and Jules Baleyte, on systemic risk analysis in financial networks (L3, 2015).<\/span><\/li>\n<\/ul>\n<h4>2014<\/h4>\n<ul style=\"text-align: justify;\">\n<li>Mateo Sesia, on network inference by observing SIS processes (M2 internship, 2014).<\/li>\n<li style=\"text-align: justify;\">Patrick Saux and David Marchand, on network inference (L3 internship, 2014).<\/li>\n<\/ul>\n<h3 style=\"text-align: justify;\" align=\"justify\">(Co-)supervision at the CS Department at the University of Ioannina, 2010-2016<\/h3>\n<ul style=\"text-align: justify;\">\n<li>\u201c<em>Document Classification using Advanced Representations<\/em>\u201d, Eirini Niaka, (Undergraduate thesis, 2011-2012).<\/li>\n<li>\u201c<em>Knowledge extraction from text collections using semantic information<\/em>\u201d, Nasos Tsamis (Undergraduate thesis, 2010-2011).<\/li>\n<li>\u201c<em>Event detection in text streams<\/em>\u201d, Panagiotis Zagorisios (Undergraduate thesis, 2012-2013 \u2013 MSc thesis, 2014-2015).<\/li>\n<li>\u201c<em>Information system for the rapid automatic identification of natural products in crude extracts based on NMR data<\/em>\u201c, Katerina Nikolaidi (Undergraduate thesis, 2011-2012). Ack: In collaboration with Lecturer <a href=\"http:\/\/www.chem.uoi.gr\/?q=el\/node\/102\">\u0391. Tzakos<\/a> and postdoctoral researcher V. Kontogianni, Department of Chemistry University of Ioannina.<\/li>\n<\/ul>\n<h1 style=\"text-align: justify;\" align=\"justify\"><span style=\"text-decoration: underline;\"><strong>Teaching<\/strong><\/span><\/h1>\n<ul style=\"text-align: justify;\">\n<li>Teaching of the module <a href=\"https:\/\/kalogeratos.com\/psite\/ai-ml-for-network-modeling\/\">AI\/ML for network modeling<\/a> \u2013 part of the scientific training of multidisciplinary students on AI (Spring 2020, Fall 2020).<\/li>\n<li>TA for the Optimization course for the ENS Paris-Saclay M1 students of the Maths Department (given by Alain Trouv\u00e9) (Spring 2019, Spring 2020).<\/li>\n<li>TA for the Statistics course of the Agregation Preparatoire (Spring 2019).<\/li>\n<li>TA for the Introduction to CS Tools courses for the ENS Paris-Saclay L3 students of the Maths Department (Fall 2018, Fall 2019, Fall 2020).<\/li>\n<li>TD for the Hyper Performance Computing Master course (M2): Data and Machine Learning (given by Nicolas Vayatis) (Fall 2018, Fall 2019, Fall 2020).<\/li>\n<li style=\"text-align: justify;\">TA for the MVA Master course (M2): <a href=\"http:\/\/www.vision.jhu.edu\/teaching\/learning\/learning17\/mva-cachan-learning17.htm\">Unsupervised Learning: From Big Data to low-dimensional representations<\/a> (given by Rene Vidal) (Fall 2017).<\/li>\n<\/ul>\n<p><!-- Add Ritavan --><br \/>\n<!-- Add the work with Remi --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Supervision Ga\u00ebtan Serr\u00e9 on optimization (co-supervision of PhD thesis with Nicolas Vayatis). Gwendal Debaussard on Graph machine learning. Eloi Campagne on Time-series forecasting for electrical load (co-supervision of Cifre PhD thesis with Mathilde Mougeot, Yvenn Aamara-Ouali and Yannig Goude from EDF). Gaspard Abel on Data-driven and model-driven analysis of social dynamical systems (co-supervision of PhD [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-124","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Argyris Kalogeratos<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"Supervision Ga\u00ebtan Serr\u00e9 on optimization (co-supervision of PhD thesis with Nicolas Vayatis). Gwendal Debaussard on Graph machine learning. Eloi Campagne on Time-series forecasting for electrical load (co-supervision of Cifre PhD thesis with Mathilde Mougeot, Yvenn Aamara-Ouali and Yannig Goude from EDF). Gaspard Abel on Data-driven and model-driven analysis of social dynamical systems (co-supervision of PhD [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/\" \/>\n<meta property=\"og:site_name\" content=\"Argyris Kalogeratos\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-30T18:32:37+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/ta-and-supervision\\\/\",\"url\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/ta-and-supervision\\\/\",\"name\":\"\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/#website\"},\"datePublished\":\"2012-11-24T11:54:55+00:00\",\"dateModified\":\"2026-01-30T18:32:37+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/ta-and-supervision\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/ta-and-supervision\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/ta-and-supervision\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Supervision &#038; Teaching\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/#website\",\"url\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/\",\"name\":\"Argyris Kalogeratos\",\"description\":\"Senior Research Scientist \\\/\\\/ PhD Computer Science \\\/\\\/ Machine Learning\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/kalogeratos.com\\\/psite\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Argyris Kalogeratos","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/","og_locale":"en_US","og_type":"article","og_description":"Supervision Ga\u00ebtan Serr\u00e9 on optimization (co-supervision of PhD thesis with Nicolas Vayatis). Gwendal Debaussard on Graph machine learning. Eloi Campagne on Time-series forecasting for electrical load (co-supervision of Cifre PhD thesis with Mathilde Mougeot, Yvenn Aamara-Ouali and Yannig Goude from EDF). Gaspard Abel on Data-driven and model-driven analysis of social dynamical systems (co-supervision of PhD [&hellip;]","og_url":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/","og_site_name":"Argyris Kalogeratos","article_modified_time":"2026-01-30T18:32:37+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/","url":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/","name":"","isPartOf":{"@id":"https:\/\/kalogeratos.com\/psite\/#website"},"datePublished":"2012-11-24T11:54:55+00:00","dateModified":"2026-01-30T18:32:37+00:00","breadcrumb":{"@id":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/kalogeratos.com\/psite\/ta-and-supervision\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/kalogeratos.com\/psite\/"},{"@type":"ListItem","position":2,"name":"Supervision &#038; Teaching"}]},{"@type":"WebSite","@id":"https:\/\/kalogeratos.com\/psite\/#website","url":"https:\/\/kalogeratos.com\/psite\/","name":"Argyris Kalogeratos","description":"Senior Research Scientist \/\/ PhD Computer Science \/\/ Machine Learning","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/kalogeratos.com\/psite\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/pages\/124","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/comments?post=124"}],"version-history":[{"count":4,"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/pages\/124\/revisions"}],"predecessor-version":[{"id":2349,"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/pages\/124\/revisions\/2349"}],"wp:attachment":[{"href":"https:\/\/kalogeratos.com\/psite\/wp-json\/wp\/v2\/media?parent=124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}