{"id":2085,"date":"2021-07-06T16:10:15","date_gmt":"2021-07-06T14:10:15","guid":{"rendered":"https:\/\/wp.unil.ch\/grebd\/?page_id=2085"},"modified":"2023-02-25T16:45:04","modified_gmt":"2023-02-25T15:45:04","slug":"membres","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/grebd\/recherche\/projets-fns\/reconfiguring-comics\/membres\/","title":{"rendered":"Membres"},"content":{"rendered":"\n
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Requ\u00e9rents | Principal Investigators<\/h4>\n\n\n\n
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Sabine S\u00fcsstrunk<\/h5>\n\n\n\n

Professeur, EPFL, Laboratoire d\u2019images et repr\u00e9sentation visuelle<\/strong>
Full Professor, EPFL, Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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Rapha\u00ebl Baroni<\/h5>\n\n\n\n

Professeur associ\u00e9, UNIL, Facult\u00e9 des Lettres, EFLE<\/strong>
Associate Professor, UNIL, Faculty of Arts, EFLE<\/strong><\/p>\n\n\n\n

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Rapha\u00ebl Baroni est professeur associ\u00e9 \u00e0 la Facult\u00e9 des lettres de l’Universit\u00e9 de Lausanne, rattach\u00e9 \u00e0 l\u2019\u00c9cole de fran\u00e7ais langue \u00e9trang\u00e8re. Il est pr\u00e9sident de l\u2019Association internationale des chercheurs en litt\u00e9ratures populaires et culture m\u00e9diatique (LPCM<\/a>) et membre fondateur, \u00e0 l\u2019UNIL, du Groupe d\u2019\u00e9tude sur la bande dessin\u00e9e(GrEBD<\/a>) et du P\u00f4le de narratologie transm\u00e9diale (NaTrans<\/a>). Il enseigne depuis plusieurs ann\u00e9es un cours de Bachelor d\u2019introduction \u00e0 l\u2019\u00e9tude de la bande dessin\u00e9e et divers cours de Master relatifs \u00e0 ce m\u00e9dium. Il s\u2019int\u00e9resse en particulier \u00e0 la transition num\u00e9rique de la culture et en particulier \u00e0 celle de la bande dessin\u00e9e.<\/p>\n

Baroni est co-d\u00e9positaire du projet Sinergia, avec Sabine S\u00fcsstrunk et Mathieu Salzmann. Il est responsable de la partie du projet ancr\u00e9e \u00e0 l\u2019Universit\u00e9 de Lausanne, laquelle vise \u00e0 retracer l\u2019histoire des reconfigurations de la bande dessin\u00e9e en lien avec des changements de supports analogiques ou num\u00e9rique, et \u00e0 mesurer l\u2019impact des technologies num\u00e9riques sur la production contemporaine et sur la profession d\u2019auteur ou autrice de bandes dessin\u00e9es. Il a particip\u00e9, avec Ga\u00eblle Kovaliv et Olivier Stucky, \u00e0 la r\u00e9daction d\u2019un article de synth\u00e8se sur les obstacles qui s\u2019opposent \u00e0 l\u2019\u00e9mergence de supports de publication num\u00e9riques dans le contexte de la bande dessin\u00e9e europ\u00e9enne et francophone. Il a \u00e9galement collabor\u00e9 avec Joachim Huguonot \u00e0 un projet visant \u00e0 exploiter une approche relevant du \u00ab distant viewing \u00bb pour \u00e9tudier l\u2019\u00e9volution des formats de publication des magazines pour la jeunesse dans les ann\u00e9es 1950-1970. Il collabore aussi avec Bahar Aydemir \u00e0 une \u00e9tude empirique de la lecture de planches de bandes dessin\u00e9es humoristiques francophones utilisant une technologie eye-tracking.<\/p>\n

Baroni est notamment l’auteur de La tension narrative<\/em> (Seuil, 2007), L’\u0153uvre du temps<\/em> (Seuil, 2009) et Les rouages de l’intrigue<\/em> (Slatkine , 2017). Il est co\u00e9diteur de plusieurs ouvrages ou num\u00e9ros de revues, parmi lesquels Introduction \u00e0 l\u2019\u00e9tude des cultures num\u00e9riques<\/em> (Armand Colin, 2020), Narrative Sequence in Contemporary Narratology<\/em> (Ohio State University Press, 2016) et \u00ab Les avatars du chapitre en bande dessin\u00e9e<\/a> \u00bb (Les Cahiers de narratologie<\/em>, n\u00b0 34, 2018).<\/p>\n<\/div>\n

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Rapha\u00ebl Baroni is an associate professor at the Faculty of Arts of the University of Lausanne, attached to the School of French as a Foreign Language. He is president of the International Association of Researchers in Popular Literature and Media Culture (LPCM) and a founding member, at the UNIL, of the Study Group on Comics (GrEBD) and of the P\u00f4le de narratologie transm\u00e9diale (NaTrans). For several years he has been teaching an introductory Bachelor’s course on the study of comics and various Master’s courses on this medium. He is particularly interested in the digital transition of culture and in particular that of comics.<\/p>\n

Baroni is one of the principle investigator of the Sinergia project, together with Sabine S\u00fcsstrunk and Mathieu Salzmann. He is responsible for the part of the project based at the University of Lausanne, which aims to retrace the history of the reconfigurations of comics in relation to changes in analogue or digital media, and to measure the impact of digital technologies on contemporary production and on the profession of comics author. He participated, with Ga\u00eblle Kovaliv and Olivier Stucky, in the writing of a synthesis article on the obstacles to the emergence of digital publishing media in the context of European and Francophone comics. He also collaborated with Joachim Huguonot on a project aiming at using a \u00ab\u00a0distant viewing\u00a0\u00bb approach to study the evolution of publication formats of children’s magazines in the 1950s-1970s. He is also collaborating with Bahar Aydemir on an empirical study of the reading of French comic strips using eye-tracking technology.<\/p>\n

Baroni is the author of La tension narrative<\/em> (Seuil, 2007), L’\u0153uvre du temps<\/em> (Seuil, 2009) and Les rouages de l’intrigue <\/em>(Slatkine, 2017). He is co-editor of several books or journal issues, including Introduction \u00e0 l’\u00e9tude des cultures num\u00e9riques<\/em> (Armand Colin, 2020), Narrative Sequence in Contemporary Narratology <\/em>(Ohio State University Press, 2016) and \u00ab\u00a0Les avatars du chapitre en bande dessin\u00e9e\u00a0\u00bb (Les Cahiers de narratologie, n\u00b0 34, 2018).<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Mathieu Salzman <\/h5>\n\n\n\n

Chercheur senior, EPFL, Laboratoire de vision par ordinateur<\/strong>
Scientist, EPFL, Computer Vision Laboratory<\/strong><\/p>\n\n\n\n

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Mathieu Salzmann est chercheur senior au laboratoire de vision par ordinateur de l’EPFL, avec un \u00ab Courtesy Appointment \u00bb au Coll\u00e8ge des Humanit\u00e9s de l’EPFL. Auparavant, il a \u00e9t\u00e9 chef de recherche au sein du groupe de vision par ordinateur de NICTA \u00e0 Canberra, professeur adjoint de recherche \u00e0 TTI-Chicago et postdoc \u00e0 ICSI et EECS \u00e0 UC Berkeley. A l’EPFL, il enseigne des cours de Machine Learning au niveau Bachelor et pour le Master en Humanit\u00e9s Num\u00e9riques. Ses int\u00e9r\u00eats de recherche portent sur le d\u00e9veloppement d’algorithmes d’apprentissage automatique pour des t\u00e2ches de reconnaissance visuelle, telles que la d\u00e9tection d’objets \u00e0 base d’images, la segmentation s\u00e9mantique et la reconstruction 3D. Il a publi\u00e9 plus de 100 articles dans des conf\u00e9rences et revues de premier plan en Computer Vision et en Machine Learning, a \u00e9t\u00e9 Area Chair pour des conf\u00e9rences de premier plan et est \u00e9diteur associ\u00e9 pour IEEE Transactions on Pattern Analysis and Machine Intelligence.<\/p>\n

Mathieu Salzmann est co-requ\u00e9rent principal de ce projet Sinergia avec Sabine S\u00fcsstrunk et Rapha\u00ebl Baroni. Dans ce cadre, il supervise Deblina Bhattacharjee, travaillant sur les th\u00e8mes du transfert de style entre la bande dessin\u00e9e et les images naturelles et de l’estimation de la profondeur \u00e0 partir de cases de bandes dessin\u00e9es. Avec Sabine S\u00fcsstrunk, il co-encadre \u00e9galement Baran Ozadin dans ses travaux sur le \u00ab domain adaptation \u00bb pour la segmentation s\u00e9mantique de la bande dessin\u00e9e. De plus, il a collabor\u00e9 avec Seungryong Kim et Tong Zhang sur la t\u00e2che de reconfiguration d’images, visant \u00e0 faciliter le transfert de cases de bandes dessin\u00e9es d’un format \u00e0 un autre. Il est \u00e9galement impliqu\u00e9 dans la collaboration entre Joachim Hugonot et Rapha\u00ebl Baroni, visant \u00e0 un \u00ab distant viewing \u00bb de la collection de bandes dessin\u00e9es, num\u00e9ris\u00e9e dans le cadre de ce projet, de la Collection Ghebali au Centre BD de la ville de Lausanne.<\/p>\n<\/div>\n

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Mathieu Salzmann is a Senior Researcher at EPFL\u2019s Computer Vision lab, with a courtesy appointment at EPFL\u2019s College of Humanities. Prior to this, he has been a Research Leader in NICTA\u2019s Computer Vision group in Canberra, a Research Assistant Professor at TTI-Chicago, and a postdoctoral fellow at ICSI and EECS at UC Berkeley. At EPFL, he teaches Machine Learning classes at the Bachelor level and for the Master in Digital Humanities. His research interests lie in the development of Machine Learning algorithms for visual recognition tasks, such as image-based object detection, semantic segmentation and 3D reconstruction. He has published over 100 articles at top-tier Computer Vision and Machine Learning conferences and journals, has been an Area Chair for top-tier conferences, and is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence.<\/p>\n

Mathieu Salzmann is a Principal Investigator (PI) of this Sinergia project, together with Sabine S\u00fcsstrunk and Rapha\u00ebl Baroni. In this context, he supervises Deblina Bhattacharjee, working on the topics of style transfer between comics and natural images and of depth estimation from comics panels. Together with Sabine S\u00fcsstrunk, he also co-supervises Baran Ozadin in his work on domain adaptation for semantic segmentation of comics. Furthermore, he has collaborated with Seungryong Kim and Tong Zhang on the task of image re-targeting, aiming to facilitate the transfer of comic panels from one format to another. He is also involved in the collaboration between Joachim Hugonot and Rapha\u00ebl Baroni, targeting a distant viewing of the comics collection digitized, in the context of this project, from the Ghebali Collection at Lausanne\u2019s Center for Comics.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Collaborateurs | Collaborators<\/h4>\n\n\n\n
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Zhang Tong<\/h5>\n\n\n\n

Chercheur PostDoc, EPFL, Laboratoire d’images et de repr\u00e9sentation visuelle<\/strong>
PostDoc Researcher, EPFL, Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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Tong Zhang is a postdoctoral researcher working in machine learning and computer vision at IVRL Lab, EPFL. He obtained his Ph.D. degree from the Australian National University in 2020. Before that, he received a master degree from New York University and a bachelor degree from Beihang University (BUAA). During his Ph.D. study, he received I received Best Student Paper honorable mention at ACCV 2016 and Paper Award Nominee at CVPR 2020. His research interests include deep geometric learning, clustering, object segmentation, and generative models.<\/p>\n

He joined the team in October 2020 working with Prof. Sabine S\u00fcsstrunk<\/a> and Dr. Mathieu Salzmann<\/a> under the project. Currently, he is working with Deblina Bhattacharjee on multitasks learning estimate depth in comics; with Bahar Aydemir they are working towards saliency detection for studying reader\u2019s reading behavior; with Baran Ozaydin, they are targeting on segmenting comics image with the help from domain adaption. At the same time, he is also focusing on image retargeting and editing to help generate comics objects and images in different resolutions and shapes. He has published two papers on related topics in CVPR 2020 and submitted three papers to conferences. <\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Bahar Aydemir<\/h5>\n\n\n\n

Doctorante, EPFL, Laboratoire d’images et de repr\u00e9sentation visuelle
PhD Student, EPFL, Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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Bahar Aydemir received B.Sc. degree in Computer Engineering from Middle East Technical University (METU), Ankara, Turkey in 2018. She is currently pursuing the Ph.D. degree in computer and communication sciences under the supervision of Prof. Sabine S\u00fcsstrunk, in the Image and Visual Representation Lab (IVRL), \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland. She is conducting research on saliency estimation on European comics and natural images. Her current research interests include measuring human attention, computer vision and machine learning.<\/p>\n

Within the framework of the project, Bahar is conducting eye-tracking experiments to assess which elements can be modified and even removed in the reconfiguration
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As an alternative to collecting attention data from readers, she developed a deep-learning
\napproach to estimate saliency in comics. Due to the lack of annotated data in the comics domain, this method for now relies on natural images. It uses the high-level and low-level contrast between the multiple objects in a scene. This approach contains an object detector that can be adapted into the comics domain. This study was conducted in collaboration with Deblina Bhattacharjee, Seungryong Kim, and Tong Zhang.<\/p>\n

She is also collaborating with Rapha\u00ebl Baroni on an empirical study of the reading of one-page French comic strips using eye-tracking technology. Bahar participated in the 13th ACM Symposium on Eye Tracking Research and Applications (ETRA2021) between May 24-27 2021. <\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Deblina Bhattacharjee <\/h5>\n\n\n\n

Doctorante, EPFL, Laboratoire d’images et de repr\u00e9sentation visuelle
PhD Student, EPFL, Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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Deblina Bhattacharjee holds a Master\u2019s degree in Computer Science with a specialization in Machine Learning and Optimization from South Korea, 2017. Thereafter, she worked as a deep learning research engineer in Samsung until 2019. She joined EPFL in Lausanne, Switzerland for her doctoral thesis in 2019 where she is working on reconfiguring comics to digital platforms by focusing on depth estimation of comics characters. To achieve this goal, she is studying the depth of comics characters and object instances in the comics panels, so that they can be repositioned. However, estimating depth within such panels is an ill-posed problem as they are monocular and lack annotated ground-truth data. To tackle this, Deblina has explored domain adaptation methods to leverage the depth information from real world images onto the comics domain. In particular, Deblina developed an instance level, detection-based unsupervised image-to-image (I2I) translation technique, which focused on translating the characters in a scene from one domain to another, in this case from the comics domain to the real-world domain. The results of this study led to a publication at the IEEE Conference of Computer Vision and Pattern Recognition (CVPR 2020).<\/p>\n

Further, Deblina has developed a contextual saliency method developed in collaboration with Bahar Aydemir to guide her depth estimation task. To that end, Deblina is currently exploring the notion of context between multiple comics panels that will use attention to guide the depth estimation task. Finally, to bring all this together, she is developing an end-to-end multi-task learning architecture that will optimize each task as per the user requirements. This multi-task learning framework will rely on her current findings about context and attention between multiple comics panels. The results are projected to be published in the next conference on computer vision.<\/p>\n

Deblina is also an active member of the International Machine Learning Society since 2016 and a Google Women Scholar. She actively volunteers as a mentor for the non-profit organization Teach For India, where she teaches computer science fundamentals and mathematics to high school and undergraduate students, primarily focusing on under-represented factions in STEM fields.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Ga\u00eblle Kovaliv<\/h5>\n\n\n\n

Doctorante, UNIL<\/strong><\/strong>, Facult\u00e9 des Lettres
PhD Student, UNIL, Faculty of Arts<\/strong><\/p>\n\n\n\n

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Dipl\u00f4m\u00e9e en fran\u00e7ais moderne et en sciences du langage \u00e0 l\u2019Universit\u00e9 de Lausanne, Ga\u00eblle Kovaliv \u00e9tudie les conditions de production et de r\u00e9ception des \u0153uvres de bande dessin\u00e9es nativement num\u00e9riques francophones. Sa th\u00e8se, entre sociologie et lettres, se concentre ainsi sur six axes de recherche : l\u2019identit\u00e9 de ce nouveau m\u00e9dium, les cons\u00e9quences de la disparition du filtre \u00e9ditorial \u2013 notamment dans une perspective de genr\u00e9e \u2013, la place du lectorat, l\u2019\u00e9conomie et le financement, le r\u00f4le des \u00e9diteurs papier et une comparaison internationale des formes de cr\u00e9ation et de diffusion. Cette recherche est principalement bas\u00e9e sur des entretiens men\u00e9s aupr\u00e8s de cr\u00e9ateurs et cr\u00e9atrices et par des t\u00e9moignages provenant du monde professionnel de l\u2019\u00e9dition.<\/p>\n

Dans le cadre du projet, Ga\u00eblle Kovaliv a d\u00e9j\u00e0 co-r\u00e9dig\u00e9 plusieurs articles. Un glossaire bilingue des unit\u00e9s significatives de la bande dessin\u00e9e avec Olivier Stucky, une \u00e9tude de la forme des tables des mati\u00e8res des bandes dessin\u00e9es num\u00e9riques avec Ana\u00efs Goumand et un article sur le genre, les media studies<\/em> et la bande dessin\u00e9e avec L\u00e9onore Porchet. Elle a \u00e0galement particip\u00e9, avec Rapha\u00ebl Baroni et Olivier Stucky, \u00e0 la r\u00e9daction d\u2019un article de synth\u00e8se sur les obstacles qui s\u2019opposent \u00e0 l\u2019\u00e9mergence de supports de publication num\u00e9riques dans le contexte de la bande dessin\u00e9e europ\u00e9enne et francophone. Elle a aussi r\u00e9alis\u00e9 plusieurs bases de donn\u00e9es visant \u00e0 recenser les bandes dessin\u00e9es nativement num\u00e9riques francophones ainsi que les cr\u00e9ateurs et cr\u00e9atrices actifs et actives dans de domaine.<\/p>\n

Par ailleurs, Ga\u00eblle Kovaliv est actuellement co-r\u00e9dactrice en chef de la revue Comicalit\u00e9s, <\/em>, membre du R\u00e9seau des Narratologues Francophones (R\u00e9NaF) et du P\u00f4le de Narratologie Transm\u00e9diale (NaTrans). Elle est \u00e9galement co-directrice du festival de bandes dessin\u00e9es BDFIL .<\/p>\n<\/div>\n

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Ga\u00eblle Kovaliv graduated in modern French and language sciences at the University of Lausanne. She studies the conditions of production and reception of French-speaking digital comics. Her thesis, between sociology and literature, focuses on six main lines of research: the identity of this new medium, the consequences of the disappearance of the editorial filter – particularly from a gendered perspective -, the place of the readership, the economy and financing, the role of paper publishers and an international comparison of the forms of creation and distribution. This research is mainly based on interviews with creators and testimonies from the professional publishing world.<\/p>\n

Within the framework of the project, Ga\u00eblle Kovaliv has already co-authored several articles. A bilingual lexicon of significant units in comics with Olivier Stucky, a study of the form of tables of contents in digital comics with Ana\u00efs Goumand and an article on gender, media studies and comics with L\u00e9onore Porchet. She participated, with Rapha\u00ebl Baroni and Olivier Stucky, in the writing of a synthesis article on the obstacles to the emergence of digital publishing media in the context of European and Francophone comics. She also created several databases aiming at identifying French-speaking digital comics and creators active in this field.<\/p>\n

In addition, Ga\u00eblle Kovaliv is currently co-editor-in-chief of the journal Comicalit\u00e9s<\/em>, a member of the R\u00e9seau des Narratologues Francophones (R\u00e9NaF) and of the P\u00f4le de Narratologie Transm\u00e9diale (NaTrans). She the co-director of the comic book festival BDFIL.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

Baran Ozaydin<\/h5>\n\n\n\n

Doctorant, EPFL<\/strong>, Laboratoire d’images et de repr\u00e9sentation visuelle<\/strong>
PhD Student, EPFL<\/strong>,Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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Baran Ozaydin received B.Sc. degree in Electrical Engineering and a minor degree in Music Performance from Bilkent University, Ankara, Turkey in 2019. He, then, joined Doctoral School of Computer and Communication Sciences at EPFL where he is supervised by Prof. Sabine S\u00fcsstrunk and Dr. Mathieu Salzmann. His research is on Domain Adaptation and Image Segmentation. He aims to adapt segmentation models that perform well on natural images to European Comics.<\/p>\n

On one hand, Baran works on Image-to-Image translation in order to benefit from the segmentation annotations in natural image datasets. His work aims to improve Image-to-Image translation by guiding the translation with segmentation masks. On the other hand, Baran focuses on merging unsupervised segmentation algorithms with deep learning methods to handle lack of annotated data in comics domain.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Olivier Stucky<\/h5>\n\n\n\n

Doctorant, UNIL, Facult\u00e9 des Lettres
PhD Student, UNIL, Faculty of Arts<\/strong><\/p>\n\n\n\n

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Olivier Stucky est titulaire d\u2019un Master en Histoire et esth\u00e9tique du cin\u00e9ma et Fran\u00e7ais moderne. Dans le cadre de sa th\u00e8se de doctorat, il \u00e9tudie les ph\u00e9nom\u00e8nes de reconfigurations narratives en bande dessin\u00e9e en s\u2019int\u00e9ressant aux cas des transferts de r\u00e9cits entre deux supports de publication. Entre th\u00e9orie et histoire de la bande dessin\u00e9e, ce travail s\u2019articule autour d\u2019approches syst\u00e9matiques ax\u00e9es sur des cas de transfert int\u00e9gr\u00e9s \u00e0 des strat\u00e9gies \u00e9ditoriales \u00e0 diff\u00e9rentes \u00e9chelles : du p\u00e9riodique illustr\u00e9 vers l\u2019album, de l\u2019album au livre de poche, au CD-ROM ou aux plateformes de lecture en ligne. Le corpus d\u2019analyse mobilis\u00e9 par Olivier Stucky, fond\u00e9 sur la production franco-wallonne, comprend ainsi, outre les publications sous forme d\u2019albums qui sont bien connues, des objets aux caract\u00e9ristiques formelles et mat\u00e9rielles vari\u00e9es, \u00e0 l\u2019\u00e9gard desquels la recherche n\u2019a encore consacr\u00e9 que peu de travaux d\u2019ordre th\u00e9oriques et dont l\u2019histoire \u00e9ditoriale est souvent m\u00e9connue.<\/p>\n

Dans le cadre du projet, Olivier Stucky a co-r\u00e9dig\u00e9 un glossaire bilingue des unit\u00e9s visuelles et fonctionnelles de la bande dessin\u00e9e avec Ga\u00eblle Kovaliv et a particip\u00e9, avec Ga\u00eblle Kovaliv et Rapha\u00ebl Baroni, \u00e0 la r\u00e9daction d\u2019un article de synth\u00e8se sur les obstacles qui s\u2019opposent \u00e0 l\u2019\u00e9mergence de supports de publication num\u00e9riques dans le contexte de la bande dessin\u00e9e europ\u00e9enne et francophone. Il a \u00e9galement particip\u00e9 \u00e0 plusieurs colloques internationaux et publi\u00e9s divers articles scientifiques.<\/p>\n

En outre, Olivier Stucky est membre du comit\u00e9 directeur de l’association \u00e9ditrice des volumes transdisciplinaires Arkha\u00ef<\/em> dont il a co-\u00e9dit\u00e9 le volume 2021. Il est \u00e9galement membre du R\u00e9seau des Narratologues Francophones (R\u00e9NaF), du P\u00f4le de Narratologie Transm\u00e9diale (NaTrans) et du GrEBD.<\/p>\n<\/div>\n

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Olivier Stucky holds a Master’s degree in History and Aesthetics of Cinema and Modern French. For his doctoral thesis, he studies the phenomena of narrative reconfigurations in comics by focusing on the cases of narrative transfers between two publication media. Between theory and history of comics, this work is articulated around systematic approaches focused on cases of transfer integrated into editorial strategies at different scales: from the illustrated press to the album, from the album to the pocket book, to the CD-ROM or to online reading platforms. The corpus of analysis mobilised by Olivier Stucky, based on Franco-Belgian production, thus includes, in addition to publications in the well-known form of albums, objects with varied formal and material characteristics, to which the field of comic studies has as yet devoted little theoretical work and whose editorial history is often unknown.<\/p>\n

As part of the project, Olivier Stucky co-edited a bilingual lexicon of visual and functional units in comics with Ga\u00eblle Kovaliv and participated, with Ga\u00eblle Kovaliv and Rapha\u00ebl Baroni, in the writing of a synthesis article on the obstacles to the emergence of digital publishing media in the context of European and Francophone comics. He presented his research at the annual conference of the International Society for the Study of Narratives in Pamplona in 2019. Several other publications and conferences related to his thesis topic are currently on his calendar.<\/p>\n

In addition, Olivier Stucky is a member of the steering committee of the transdisciplinary journal Arkha\u00ef<\/em> and a member of the editorial board of its next issue scheduled for autumn 2021. He is also a member of the R\u00e9seau des Narratologues Francophones (R\u00e9NaF) and the P\u00f4le de Narratologie Transm\u00e9diale (NaTrans).<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Peter Gr\u00f6nquist<\/h5>\n\n\n\n

Informaticien, EPFL, Laboratoire d’images et de repr\u00e9sentation visuelle
IT engineer, EPFL<\/strong>, Image and Visual Representation Laboratory<\/strong><\/p>\n\n\n\n

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English<\/span><\/div>
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Peter Gr\u00f6nquist is a research software engineer in the Image and Visual Representation Laboratory (IVRL) at EPFL. After a short military career, he obtained his MSc & BSc in computer science at ETH Z\u00fcrich. During this time he performed research at the Scalable Parallel Computing Laboratory (SPCL) in applying machine- and deep learning to weather forecasting, in a collaboration with the European Center for Medium-Range Weather Forecasting (ECMWF), leading to several publications.<\/p>\n

After an industry research internship in computer graphics he recently joined the Sinergia team to support and advance the research through computer vision, machine-\/deep learning and software engineering.<\/p>\n<\/div><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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<\/p>\n","protected":false},"excerpt":{"rendered":"

Requ\u00e9rents | Principal Investigators Sabine S\u00fcsstrunk Professeur, EPFL, Laboratoire d\u2019images et repr\u00e9sentation visuelleFull Professor, EPFL, Image and Visual Representation Laboratory Rapha\u00ebl Baroni Professeur associ\u00e9, UNIL, Facult\u00e9 des Lettres, EFLEAssociate Professor, UNIL, Faculty of Arts, EFLE Mathieu Salzman Chercheur senior, EPFL,<\/p>\n","protected":false},"author":1480,"featured_media":0,"parent":1670,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","_seopress_analysis_target_kw":"","ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-2085","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/pages\/2085","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/users\/1480"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/comments?post=2085"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/pages\/2085\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/pages\/1670"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/grebd\/wp-json\/wp\/v2\/media?parent=2085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}