3-year Fully-funded Phd Fellowship at GREYC (France) and MTU (Ireland) on Multimodal Access to Information in the situation of Textual Blindness

May 26th, 2022 Daniela Lopez de Luise
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***        ENGLISH VERSION: sorry for cross-postings       ***
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The research laboratory GREYC UMR 6072 (https://www.greyc.fr/) and the
Munster Technological University (Ireland) are launching a call for
applications for a PhD student position in the field of information
access in text-blind situation.

In the face of the increasingly widespread advent of nomadic and
ubiquitous access to information, and with a view to reducing the
digital divide, it is imperative to allow the greatest number of people
to understand the informational and organizational structure of web
pages, which is at the same time global, naturally interactive and
independent of the support. The Web is characterized by a multi-support,
multi-application, multi-task, multi-object logic that builds a visual
and organizational structuring of the information often complex. When
they are well calibrated, the typographic and layout properties allow a
user to quickly pick up a large number of clues, and to activate
non-linear interactive strategies consistent with reading objectives.
But certain user populations may have difficulties due to pathologies
related to both the perceptual and cognitive spheres; a degradation of
decoding capacities (semantic, logical or visual) of these highly
structured contents is then observed. We group together under the term
of “textual blindness” this inability to easily interpret documents for
perceptive reasons (visual impairment, blindness) or cognitive reasons
(receptive dysphasia, mental handicap). This thesis, at the intersection
of Natural Language Processing and Human-Computer Interaction, aims at
exploiting the results obtained in two projects TactiNET
(https://www.youtube.com/watch?v=jAqYQzfL-is) and TagThunder
(https://www.youtube.com/watch?v=vrET36OcjJs), to develop a multimodal
interaction model in the context of information access in a text-blind
situation. Thus, the results of this work have allowed us to make the
hypothesis that a multimodal platform integrating the two modalities
would substantially improve the perception/action loop for the
interpretation of web documents in a situation of textual blindness.

This thesis will aim at designing an architecture that (1) integrates
haptic and sound modalities, and (2) promotes reading paths based on
multi-grain semantics. The device will propose a multimodal navigation
oriented by (1) textual units belonging to a visual, logic and thematic
organization within the documents and (2) the hierarchical links they
have with each other or with the semantic concepts they convey.

The successful candidate should have a Master's degree or equivalent in
computer science or electronics. A solid background in computer science
is required and knowledge in electronics and natural language processing
would be appreciated.

If you are interested in this position, please send the following
information to Gaël Dias (gael.dias@unicaen.fr), Fabrice Maurel
(fabrice.maurel@unicaen.fr) and Mohammed Hasanuzzman
(mohammed.hasanuzzaman@mtu.ie):

– Detailed CV
– Transcripts of undergraduate and graduate degrees.
– Letters of recommendation (up to 3 maximum)

Applications will be considered until the position is filled or before
July 31, 2022.

For more information, please contact Gaël Dias directly
(gael.dias@unicaen.fr) or Fabrice Maurel (fabrice.maurel@unicaen.fr) or
Mohammed Hasanuzzman (mohammed.hasanuzzaman@mtu.ie).

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***        VERSION FRANCAISE: désolé pour les annonces croisées     ***
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Le laboratoire de recherche GREYC UMR 6072 (https://www.greyc.fr/) et la
Munster Technological University (Irlande) lancent un appel à
candidatures pour un poste de doctorant.e dans le domaine de l'accès à
l'information en situation de cécité textuelle.

Face à l’avènement de plus en plus généralisé de l’accès à l’information
nomade et ubiquitaire, et dans un objectif de réduction de la fracture
numérique, il est impératif de permettre au plus grand nombre une
appréhension de la structure informationnelle et organisationnelle des
pages web, qui soit à la fois globale, naturellement interactive et
indépendante du support. Le Web se caractérise par une logique
multi-support, multi-application, multitâche, multi-objet construisant
une structuration visuelle et organisationnelle de l’information souvent
complexe. Lorsqu’elles sont bien calibrées, les propriétés
typographiques et dispositionnelles permettent à un utilisateur habitué
de prélever rapidement un grand nombre d’indices, et d’activer des
stratégies interactives non linéaires cohérentes avec les objectifs de
lecture. En revanche, certaines populations d’usagers peuvent être mises
en difficulté par des pathologies relevant aussi bien de la sphère
perceptive que cognitive ; il est alors observé une dégradation des
capacités de décodage (sémantique, logique ou visuel) de ces
contenus fortement structurés. Nous regrouperons sous le terme de «
cécité textuelle » cette inaptitude à interpréter facilement les
documents pour des raisons perceptives (malvoyance, non voyance) ou
cognitive (dysphasie réceptive, handicap mental). Cette thèse, orientée
à l’intersection du Traitement Automatique des Langues et de
l’Interaction Humain Machine, a pour ambition d’exploiter les résultats
obtenus dans les deux projets TactiNET (ANR Accès par Retour Tactile Aux
Documents Numériques – ART-ADN – 2013-2016 –
https://www.youtube.com/watch?v=jAqYQzfL-is) et TagThunder (FSN/PIA2 TT
– 2018-2021 – https://www.youtube.com/watch?v=vrET36OcjJs), pour
développer un modèle d’interaction multimodale dans le cadre de l’accès
de l’information en situation de cécité textuelle. Ainsi, les résultats
issus de ces travaux nous ont permis de poser l’hypothèse qu’une
plateforme multimodale intégrant les deux modalités améliorera
substantiellement la boucle perception/action pour l’interprétation des
documents web dans une situation de cécité textuelle.

Cette thèse aura pour but de concevoir une architecture (1) intégrant
les modalités haptiques et sonores, et (2) favorisant des parcours de
lecture qui s’appuient sur une sémantique multigrain. Le dispositif
proposera une navigation multimodale orientée par des unités textuelles
relevant aussi bien d’une organisation visuelle, logique et thématique
au sein des documents que des liens hiérarchiques qu’elles entretiennent
entre elles ou avec les concepts sémantiques qu’elles véhiculent.

Le.la candidat.e retenu.e devra être titulaire d'un master ou d'un
diplôme équivalent en informatique ou électronique. Un solide bagage en
informatique est requis et des connaissances en électronique et
traitement automatique du langage naturel seraient appréciées.

Si vous êtes intéressé.e par ce poste, veuillez envoyer les informations
suivantes à Gaël Dias (gael.dias@unicaen.fr), Fabrice Maurel
(fabrice.maurel@unicaen.fr) et Mohammed Hasanuzzman
(mohammed.hasanuzzaman@mtu.ie):

– CV détaillé
– Relevés de notes des diplômes de licence et de master.
– Lettres de recommandation (jusqu'à 3 maximum)

Les candidatures seront étudiées jusqu'à ce que le poste soit pourvu ou
avant le 31 Juillet 2022.

Pour plus d'informations, vous pouvez contacter directement Gaël Dias
(gael.dias@unicaen.fr) ou Fabrice Maurel (fabrice.maurel@unicaen.fr) ou
Mohammed Hasanuzzman (mohammed.hasanuzzaman@mtu.ie).

Computer Vision and Machine Learning (CVML) email list  www page: https://lists.auth.gr/sympa/info/cvml

1) To post a message (in English) to CVML please: send an email to cvml@lists.auth.gr with subject: [Topic] Your_subject
[Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News].
2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please:
send an empty email to sympa@lists.auth.gr with subject: subscribe cvml@lists.auth.gr  your_name
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4) If you have any questions related to CVML list please contact: koroniioanna@csd.auth.gr List moderation is supervised by Prof. I.Pitas (pitas@csd.auth.gr).

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Early registration: CVML Short Course on Deep Learning and Computer Vision, 22-23th August 2022

May 26th, 2022 Daniela Lopez de Luise

you are welcomed to register in the CVML Short e-course on Deep Learning and Computer Vision,  22–23th August 2022:

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/

 

Its focus will be on applications in autonomous systems (cars, drones, marine vessels).

 

It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

It will contain a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs,

to facilitate international participants having time difference issues and to enable you to study at own pace. 

 

You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills.

You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics.

This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years.

Course description ‘Deep Learning and Computer Vision’

The short e-course consists of 14 1-hour live lectures organized in two Parts (1 Part per day):

Part A lectures (7 hours) provide a solid background on the foundational Computer Vision  topics and an in-depth presentation to Autonomous Systems vision and the relevant architectures (Camera geometry, Stereo and Multiview imaging, Introduction to multiple drone systems,  Simultaneous Localization and Mapping, Drone mission planning and control, Introduction to autonomous marine vehicles).

Part B lectures (7 hours) provide an in-depth  presentation of various Deep Learning topics (Multilayer Perceptron, Backpropagation, Deep Neural Networks, Convolutional NNs, Deep Object Detection, 2D Visual Object Tracking, Neural Slam) encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking.

 

Parts A, B also contain application-oriented lectures on autonomous systems embedded CPU/GPU computing and related SW tools that can be used in a wide range of applications, e.g., for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling, cinematography.

 

Course lectures

Part A (7 hours)                            

  1. Introduction to autonomous systems
  2. Camera geometry
  3. Stereo and Multiview imaging
  4. Introduction to multiple drone systems
  5. Simultaneous Localization and Mapping
  6. Drone mission planning and control
  7. Introduction to autonomous marine vehicles

 

Part B (7 hours)

  1. Multilayer perceptron. Backpropagation
  2. Deep neural networks. Convolutional NNs
  3. Deep object detection
  4. 2D Visual Object Tracking
  5. Neural Slam
  6. CVML Software development tools
  7. Applications in car vision

 

Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, 24-26th August 2022:

http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/

 

You can use the following link for course registration:

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/

 

Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein.

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

 

The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy (AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+.

 

AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking.

 

Relevant links:

1) Prof. I. Pitas:

https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/

3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/

4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/

5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/

6) AIIA Lab: https://aiia.csd.auth.gr/

 

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Chair of the International AI Doctoral Academy (AIDA)

Aristotle University of Thessaloniki, Greece

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Convocatoria Matilda 4 Cátedra Abierta Latinoamericana de Matilda y las Mujeres en Ingeniería

May 26th, 2022 Daniela Lopez de Luise

Bogotá., D.C., 26 de mayo de 2022

 

 

Asunto: Convocatoria Matilda 4

 

Miembros individuales de la Cátedra Abierta Latinoamericana de Matilda y las Mujeres en Ingeniería Luego de 3 libros de Matilda y las Mujeres en Ingeniería en América Latina, y la constitución de la Cátedra Abierta Latinoamericana Matilda y las Mujeres en Ingeniería – CAL Matilda, estamos convocando a autoras y autores para ser parte de este cuarto libro de Matilda.

 

Los libros, publicados en formato digital de libre y gratuita distribución están disponibles en www.catedramatilda.org. 

 

Desde su tercera edición la propia CAL Matilda asume la iniciativa, en nombre de CONFEDI, ACOFI y LACCEI, de dar continuidad a las publicaciones de Matilda como una forma de contribuir a la visibilización y valoración de las mujeres en el campo de la ingeniería, y un medio para promover el estudio de la ingeniería en niñas y adolescentes, alentar a las estudiantes de ingeniería en sus carreras y, más ambicioso aún, contribuir a la igualdad de derechos y oportunidades en el mundo ingenieril. 

 

Estamos convocando, a autoras y autores a que hagan sus aportes sobre historias de Mujeres en Ingeniería dónde interesa conocer cómo nació la vocación por la ingeniería, sobre la vida en el mundo universitario, o en la docencia universitaria o en la búsqueda laboral y el ejercicio profesional. También es importante reconocer si algunas personas fueron y/o tuvieron mentores o modelos para el descubrimiento de la vocación, la educación o la profesión y todo aquello que motive a que más niñas y jóvenes mujeres descubran y se entusiasmen por el mundo de la ingeniería.

 

En el siguiente link encontrará los términos de la convocatoria. https://bit.ly/38NG9BD

 

Le pedimos participen y de ser posible realicen amplia difusión a esta convocatoria entre Profesionales Ingenieros o relacionados con la Ingeniería, docentes, investigadores, egresados y estudiantes, para garantizar la diversidad de artículos en este nuevo libro de Matilda.

 

Por cualquier duda, quedamos a su entera disposición y aguardamos su aporte antes del 8 de agosto  de 2022. Puede enviar su artículo o comunicarse con el Comité Editorial al correo libromatilda4@gmail.com

 

Cordialmente

 

Liliana Rathmman, María Teresa Garibay y Adriana Páez Pino 

Comité Editorial

 

 

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INVITACIÓN A JORNADA DE DIVULGACIÓN TECNOLÓGICA Y PROFESIOANAL – GRADUADOS DE ING. CIVIL

May 26th, 2022 Daniela Lopez de Luise
Invitamos a Ud/uds. a la Jornada de Divulgación Tecnológica y profesional, organizada por la Subsecretaría de Graduados
y el departamento de ingeniería Civil, cuyo tema central es; “La dirección, conducción y gestión integrada 
en proyectos de ingeniería Civil., Enfoques y actividades vinculadas.” (Resol. 290/2022 D), en la cual
 graduados de la especialidad de Ingeniería Civil participarán como expositores.
La misma se llevará a cabo el día Jueves 2 de Junio a las 19 hs, en aula híbrida, de manera presencial
lo Virtual.
Esta jornada está declarada de Interés académico e institucional por el CD.

LINK DE INSCRIPCIÓN:

https://docs.google.com/forms/d/1BPMmf2ZzFEXqilBnkv7pUhnVwWwKD0mXTtT_9-vioWo/edit

image (4).png
MUCHAS GRACIAS
SALUDOS 
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CORDIALMENTE INVITADOS LOS ESPERAMOS https://www.facebook.com/ondacix/photos/a.218226043583480/385831106822972/

May 26th, 2022 Daniela Lopez de Luise

Carlos Reyes Ayala.jpeg

https://www.facebook.com/ondacix/photos/a.218226043583480/385831106822972/ 


   Santa María esperanza nuestra asiento de sabiduría, ruega por nosotros…
   Alabado sea el corazón de Jesús en todo lugar y tiempo, con Maria su Madre…
              LUIS SANTIAGO GARCÍA MERINO

            INVESTIGADOR CONCYTEC – RENACYT
       CIENCIAS EMPRESARIALES Y ADMINISTRACIÓN  – USA
       CIENCIAS DE LA COMPUTACIÓN Y SISTEMAS – PERÚ
             REG CLAD 29854 – REG CIP 67010
               Código Renacyt: P0030536
              IEEE Member Number 93947096
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