10th IC-SCCE International Conference from Scientific Computing to Computational Engineering

June 7th, 2022 Daniela Lopez de Luise
2nd Announcement & Call for Papers, 10th IC-SCCE July 2022 Going Physical

 

EXTENDED – VERY LAST Announcement & Call for Papers
 
PREAMBLE: Due to malicious cyberattack, we have not been receiving emails sent to us, without the senders being informed of the non-delivery of the emails.  The issue is being resolved, but due to the conference proximity, the deadline for the submission of abstracts is extended to:
31 May, 2022
When sending email to secretariat@lfme.gr, please also CC tsahalis@lfme.gr
Please accept our apologies for any inconvenience caused by this unexpected development.
 
The Learning Foundation in Mechatronics (LFME), Athens, Greece, is organizing the 10th International Conference from Scientific Computing to Computational Engineering (10th IC-SCCE) to be held in Athens, Greece, from July 6th to July 9th, 2022.

 

The Chairman of the 10th International Conference International Conference from Scientific Computing to Computational Engineering (IC-SCCE), Prof. Demos T. Tsahalis, also Director of LFME, invites all scientists and engineers from the academic, scientific, engineering and industrial sectors to participate in the Conference and to contribute both in the promotion and dissemination of the scientific knowledge. Please forward to colleagues of yours that you think might be interested in participating.

 

 

 Contributions Invited

Contributions related to any aspects from Scientific Computing to Computational Engineering and Numerical Analysis are enthusiastically encouraged. The contributions will be published in the Conference Proceedings which will have their own ISSN and ISBN numbers.
Abstracts of papers proposed for oral or poster presentation at the 10th IC-SCCE should be approximately 200 words in length and must be submitted together with the abstract cover sheet. Before acceptance, all contributions will be assessed by experienced reviewers.

 

Conference Language

The Conference language will be English.

 

Important Dates

 

§ Deadline for the submission of Abstracts:
         31 May 2022

 

§ Notification of Acceptance:
        6 June, 2022

Sincerely,

Professor Demos Tsahalis

Director: Learning Foundation in Mechatronics (LFME)

Editor-in-Chief – Computational Engineering Section: MDPI, Computation Journal 
Chairman & Organizer: IC-SCCE and IC-EPSMSO series of biennial conferences

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Special Session on Advances in Deep Learning for Biometrics and Forensics – ICONIP2022

June 7th, 2022 Daniela Lopez de Luise
Special Session on Advances in Deep Learning for Biometrics and Forensics

The 29th International Conference on Neural Information Processing (ICONIP 2022)

November 22-26, 2022, New Delhi, India (hybrid mode)

Scope and Aim

The biometric is a growing technology due to the needs of the society, companies and governments for recognition, security and privacy concerns. It has also become a growing research area that offers greater security and convenience solutions for various applications in biometrics and forensics areas.

Methods and algorithms from data science are widely explored and used to address several problems in many fields such as biometrics and forensics. In this context, the advances in artificial intelligence, in particular in feature engineering and deep learning, have allowed to resolve various complex problems related to recognition, detection, control, security, forensic identification, etc.

Indeed, most of biometric systems are based on a typical representation, including biometric data preprocessing, feature extraction, and classification parts. Deep learning offers an end-to-end learning paradigm allowing to unify these parts. It has been shown to be a promising and powerful alternative to conventional approaches based on machine learning.

This special session aims to bring together researchers, scientists and industry professionals interested in biometrics and forensic, to present and discuss their recent advanced algorithms and methods in deep learning for biometrics and its applications.

Topics

The main topics that are of interest to this special session include, but are not limited to, the following:

  • Deep learning for biometrics and/or forensics

  • Biometric recognition (authentication and identification)

  • Physiological and behavioral biometrics (e.g., fingerprint, palmprint, palm vein, face, iris, ear, gait, voice, etc.)

  • Soft biometrics

  • Multimodal biometrics

  • Big Data challenges in biometrics

  • Attacks to biometric systems

  • Security and privacy in biometrics

  • Forensic identification

  • Emerging biometrics

  • Related applications

Important Dates

  • Paper submission deadline: June 15, 2022

  • Paper acceptance notification: August 15, 2022

  • Conference: November 22-26, 2022 – New Delhi, India

Submission Guidelines


Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of ICONIP 2022. Authors who submit papers to this session are invited to mention it in the form during the submission. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. Click here to information paper submission: https://www.iconip2022.apnns.org/camara_ready_submission.php Please, for further information and news refer to the ICONIP website: https://www.iconip2022.apnns.org

Organizers

Larbi Boubchir, Full Professor, LIASD research Lab., University of Paris 8, France (contact: larbi.boubchir@univ-paris8.fr) 

Boubaker Daachi, Full Professor, LIASD research Lab., University of Paris 8, France

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DeepLearn 2022 Summer: early registration June 14

June 7th, 2022 Daniela Lopez de Luise
6th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING
DeepLearn 2022 Summer
Las Palmas de Gran Canaria, Spain
July 25-29, 2022
*****************
Co-organized by:
University of Las Palmas de Gran Canaria
Institute for Research Development, Training and Advice – IRDTA
 
Brussels/London
******************************************************************
Early registration: June 14, 2022
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SCOPE:
DeepLearn 2022 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Bournemouth, and Guimarães.
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 21 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
 
ADDRESSED TO:
       
Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.
VENUE:
DeepLearn 2022 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:
      
Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria
      
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event.
 
KEYNOTE SPEAKERS:
Wahid Bhimji (Lawrence Berkeley National Laboratory), Deep Learning on Supercomputers for Fundamental Science
Joachim M. Buhmann (Swiss Federal Institute of Technology Zurich), Machine Learning — A Paradigm Shift in Human Thought!?
Kate Saenko (Boston University), Overcoming Dataset Bias in Deep Learning
 
PROFESSORS AND COURSES:
Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning: From Theory to Applications in the Natural Sciences
Arindam Banerjee (University of Illinois Urbana-Champaign), [intermediate/advanced] Deep Generative and Dynamical Models 
Mikhail Belkin (University of California San Diego), [intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation   
Arthur Gretton (University College London), [intermediate/advanced] Probability Divergences and Generative Models
Phillip Isola (Massachusetts Institute of Technology), [intermediate] Deep Generative Models
Mohit Iyyer (University of Massachusetts Amherst), [intermediate/advanced] Natural Language Generation
Irwin King (Chinese University of Hong Kong), [intermediate/advanced] Deep Learning on Graphs
Vincent Lepetit (Paris Institute of Technology), [intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding
Dimitris N. Metaxas (Rutgers, The State University of New Jersey), [intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis
Sean Meyn (University of Florida), [introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design
Louis-Philippe Morency (Carnegie Mellon University), [intermediate/advanced] Multimodal Machine Learning
Wojciech Samek (Fraunhofer Heinrich Hertz Institute), [introductory/intermediate] Explainable AI: Concepts, Methods and Applications
Clara I. Sánchez (University of Amsterdam), [introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare
Björn W. Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing 
Jonathon Shlens (Apple), [introductory/intermediate] An Introduction to Computer Vision and Convolution Neural Networks [virtual]
Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines
Csaba Szepesvári (University of Alberta), [intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman's Curse of Dimensionality
Murat Tekalp (Koç University), [intermediate/advanced] Deep Learning for Image/Video Restoration and Compression
Alexandre Tkatchenko (University of Luxembourg), [introductory/intermediate] Machine Learning for Physics and Chemistry
Li Xiong (Emory University), [introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning
Ming Yuan (Columbia University), [intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis
 
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 17, 2022.
 
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 17, 2022.
 
EMPLOYER SESSION:
Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 17, 2022.
 
ORGANIZING COMMITTEE:
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)
 
REGISTRATION:
The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same.
 
ACCOMMODATION:
Accommodation suggestions will be available in due time at
     
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION: david@irdta.eu
 
ACKNOWLEDGMENTS:
Cabildo de Gran Canaria
Universidad de Las Palmas de Gran Canaria
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice – IRDTA, Brussels/London
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ECCV 2022 :: AIMIA workshop: digital pathology & radiology/COVID19 :: Call for Papers

June 7th, 2022 Daniela Lopez de Luise
The ECCV 2022 workshop on AI-enabled Medical Image Analysis (AIMIA) aims at providing a platform for scientific discussion and presentation of ideas to tackle the challenges of whole slide image

and CT/MRI/X-ray analysis/processing and identify research opportunities in the context of Digital Pathology and Radiology/COVID19.

AIMIA is jointly organised by INESCTEC (Portugal), NTUA (Greece), IMP Diagnostics (Portugal), Radboudumc (The Netherlands), Karolinska Institutet (Sweden), Google Health (USA) and the University

of Lincoln (UK). For more information please visit http://vcmi.inesctec.pt/aimia_eccv

*** IMPORTANT DATES ***

Submission deadline: July 08, 2022

Author notification: August 05, 2022

Camera-ready deadline: August 12, 2022 

AIMIA workshop: October 2022 (T.B.D.) 

*** KEYNOTE SPEAKERS ***

Dimitri Metaxas, Rutgers University, USA

Inti Zlobec, University of Bern, Switzerland

Henning Müller, HES-SO Vallais-Wallis, Switzerland

*** TOPICS OF INTEREST ***

The AIMIA workshop welcomes works that focus on (but not limited to):


  • Semi-/weakly-/self-/supervised learning methodologies;

  • Detection, classification and segmentation;

  • Disease diagnosis, grading and prognosis;

  • Treatment response prediction;

  • Detection of tissue biomarkers with predictive/prognostic value;

  • Image registration;

  • Explainable AI;

  • Clinical applications;

 

applied to Digital Pathology (TRACK A) and Radiology/COVID19 (TRACK B).

The workshop also invites submissions to the 2nd COV19D competition, organized within TRACK B: https://mlearn.lincoln.ac.uk/eccv-2022-ai-mia/


*** PAPER SUBMISSION ***

Submitted manuscripts should be anonymised and formatted according to the ECCV style, with a maximum of 14 pages, including images and tables and excluding cited references.

Accepted papers will be published in Springer, as part of the ECCV 2022 proceedings (workshops set).

Do you want to submit your work? Please access https://cmt3.research.microsoft.com/AIMIA2022.

*** CONTACTS ***

Sara P. Oliveira (sara.i.oliveira@inesctec.pt)

Jaime Cardoso (jaime.cardoso@inesctec.pt)

Stefanos Kollias (stefanos@cs.ntua.gr)
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Color and Imaging Conference (CIC30)

June 7th, 2022 Daniela Lopez de Luise
We’re pleased to announce that the IS&T Color and Imaging Conference will celebrate its 30th anniversary in Scottsdale, AZ, where it all started. Be part of this monumental occasion by contributing your research and innovation in color science and imaging. In addition, this is an excellent opportunity to share, learn and engage with a global community of professionals and academics.

 

CIC30 is pleased to have the first MANER Conference join us in 2022. The MANER Project (Material Appearance Network for Education and Research) is an international partnership with a primary objective to establish and strengthen an international and interdisciplinary network for long-term collaborative research and education activities within material appearance measurement. 

 

IS&T Color and Imaging Conference (CIC30)

Sunday 13 November  – Thursday 17 November 2022

Scottsdale, AZ

 

***********************************************************

 

CALL FOR PROPOSALS + PAPERS

SUBMISSION DEADLINE: 6 June 2022

 

PROGRAM TOPICS

  • Color Vision
  • Capture and Reproduction
  • Material and Color Appearance
  • Color in Illumination and Lighting
  • Color Theory
  • Image Quality
  • Multispectral Imaging
  • Specific Color Applications
  • Color in Computer Graphics
  • Color in Computer Vision

 

SUBMISSION OPTIONS

  • Short Course/Workshop – View examples of previous courses and workshops

https://bit.ly/CIC29_Workshops

 

 

VIEW THE CALL FOR PAPERS for complete details.

https://bit.ly/CIC30_CallforPapers

 

 

 

 

Roberta Morehouse, CMP
Communications and Marketing Manager
Society for Imaging Science and Technology (IS&T)
—imaging across applications— imaging.org 

Office Hours: 
Tuesday – Wednesday, 8:00 am – 2:30 pm
Thursday, 8:00 am – 2:00 pm

IS&T is a non-profit organization dedicated to advancing science and technology in imaging. Please consider donating today. 
7003 Kilworth Lane • Springfield, VA 22151 • 703/642-9090 x105 
Connect with us on LinkedIn and Twitter @ImagingOrg

 

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