IEEE Symposium on Computational Intelligence for Engineering Solutions: CFP

May 17th, 2022 Daniela Lopez de Luise

IEEE Symposium on Computational Intelligence for Engineering

Solutions (IEEE CIES)

 

https://www.ieeessci2022.org/symposia_cies.html

 

Part of IEEE Series of Symposia on Computational Intelligence,

Singapore, December 4-7, 2022, https://www.ieeessci2022.org/

 

Developments in Engineering are characterized by a growing

complexity, which is balanced by an extensive utilization of

computational resources. This complexity is not only a feature of

engineering systems, processes and products, it is primarily a key

attribute of the respective algorithms for analysis, control and

decision-making to develop those engineering solutions. To cope

with complexity in this broad spectrum of demands, Computational

Intelligence is implemented increasingly in virtually all

engineering disciplines. This emerging approach provides a basis

for developments of a new quality. This Symposium is focused on the

utilization of Computational Intelligence in this context in the

entire field of engineering. Examples concern the control of

processes of various kinds and for various purposes, monitoring

with sensors, smart sensing, system identification,

decision-support and assistance systems, visualization methods,

prediction schemes, the solution of classification problems,

response surface approximations, the formulation of surrogate

models, etc. The engineering application fields may comprise, for

example, bioengineering with prostheses design and control, civil

and mechanical engineering processes, systems and structures

concerned with vehicles, aircraft or bridges, industrial and

systems engineering with design and control of power systems,

electrical and computer engineering with developments in robotics,

etc. All kinds of approaches from the field of Computational

Intelligence are welcome. As a part of the Symposium special

attention is paid to sustainable engineering solutions to address

current and future challenges of environmental changes and

uncertainty. This includes developments dealing with climate

change, environmental processes, disaster warning and management,

infrastructure security, lifecycle analysis and design, etc.

Events, disasters and issues under consideration may be natural

such as earthquakes or tsunamis, man-made such as human failure or

terrorist attacks, or a combination thereof including secondary

effects such as failures in nuclear power plants, which may be

critical for systems, the environment and the society. Developments

which include a comprehensive consideration of uncertainty and

techniques of reliable computing are explicitly invited. These may

involve probabilistic including Bayesian approaches, interval

methods, fuzzy methods, imprecise probabilities and further

concepts. In this context robust design is of particular interest

with all its facets as a basic concept to develop sustainable

engineering solutions.

 

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Topics

  Complex engineering systems, structures and processes

  Intelligent analysis, control and decision-making

  Management and processing of uncertainties

  Problem solution in uncertain and noisy environments

  Reliable computing

  Sustainable solutions

  Infrastructure security

  Climate change

  Environmental processes

  Disaster warning and management

  Lifecycle analysis and design

  Automotive systems

  Monitoring

  Smart sensing

  System identification

  Decision-support and assistance systems

  Visualization methods

  Prediction schemes

  Classification methods, cluster analysis

  Response surface approximations and surrogate models

  Sensitivity analysis

  Robust design, reliability-based design, performance-based design

  Risk analysis, hazard analysis, risk and hazard mitigation

  Optimization methods, evolutionary concepts

  Probabilistic and statistical methods

  Simulation methods, Monte-Carlo and quasi Monte-Carlo

  Bayesian approaches / networks

  Artificial Neural Networks

  Imprecise probabilities

  Evidence theory

  p-box approach

  Fuzzy probability theory

  Interval methods

  Fuzzy methods

  Convex modeling

  Information gap theory

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Symposium Chairs

 

Michael Beer

Leibniz University Hannover

 

Vladik Kreinovich

University of Texas at El Paso

 

Rudolf Kruse

Otto-von-Guericke University

 

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Important dates:

 

Paper Submission: Friday, 1st July 2022

Paper Acceptance: Thursday, 1st September 2022

Full Manuscript Submission: Monday. 19th September 2022

Early Registration: Monday, 26th September 2022

Conference Dates: 4th – 7th December 2022

 

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Submission logistics: see https://www.ieeessci2022.org/

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Jornadas Argentinas de Informática – 51 JAIIO

May 12th, 2022 Daniela Lopez de Luise

Desde 1961 se realizan las JAIIOs, Jornadas Argentinas de Informática, organizadas por la Sociedad Argentina de Informática (SADIO), donde en sesiones paralelas se presentan trabajos que se publican en Anales, se discuten resultados de investigaciones y experiencias en el campo de la Informática sobre diferentes tópicos, desarrollándose también conferencias y reuniones con la asistencia de investigadores, estudiantes y profesionales argentinos y del extranjero.

Las JAIIOs se organizan como un conjunto de simposios separados, cada uno dedicado a un tema específico, de uno o dos días de duración, de tal forma de permitir la interacción de sus participantes.

Este año las jornadas serán co-organizadas por la Facultad de Informática de la UAI y se realizarán en modalidad mixta, desde el Lunes 17 al Viernes 28 de Octubre de 2022.

Las presentaciones de trabajos y conferencias se realizarán de manera virtual y habrá, además, actividades presenciales en la sede de UAI de Av. Montes de Oca 745. Barracas, CABA.

 

Los esperamos.

 

 

FECHAS IMPORTANTES:

13 de junio 2022: Cierre de Recepción de Trabajos
15 de agosto 2022: Notificación de Trabajos Aceptados
22 de agosto 2022: Fecha límite para registración de autores
29 de agosto 2022: Fecha límite Recepción de Trabajos Finales (Camera Ready)
17 al 28 de octubre de 2022: 51 JAIIO

 

Simposios de las 51 JAIIO

AGRANDA – Simposio Argentino de Ciencia de Datos y GRANdes DAtos

 

ASAI – Simposio Argentino de Inteligencia Artificial

 

ASSE – Simposio Argentino de Ingeniería de Software

 

CAI – Congreso Argentino de AgroInformática

 

CAIS – Congreso Argentino de Informática y Salud

 

EST – Concurso de Trabajos Estudiantiles

 

IETF Day – Taller del Grupo de Trabajo de Ingeniería de Internet/Argentina

 

JUI – Jornadas de Vinculación Universidad – Industria

 

SACS – Simposio Argentino de Ciberseguridad

 

SAEI – Simposio Argentino de Educación en Informática

 

SAHTI – Simposio Argentino de Historia, Tecnologías e Informática

 

SAIV – Simposio Argentino de Imágenes y Visión

 

SID – Simposio Argentino de Informática y Derecho

 

SIE – Simposio de Informática en el Estado

 

SIIIO – Simposio Argentino de Informática Industrial e Investigación Operativa

 

STS – Simposio Argentino sobre Tecnología y Sociedad

 

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DeepLearn 2022 Summer: early registration May 8

May 12th, 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: May 8, 2022
 
 
 
******************************************************************
 
 
 
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 24 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
 
 
 
  1. 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:
 
 
 
It has to be done at
 
 
 
 
 
 
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:
 
 
 
 
 
 
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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CFP: 2022 OkIP Intl Conf on eLearning and Technology in Education, Oct 3-6, Oklahoma City, OK, USA

May 12th, 2022 Daniela Lopez de Luise
2022 OkIP International Conference on eLearning and Technology in Education (CETE)
Downtown Oklahoma City, OK, USA & Online
October 3-6, 2022
OkIP Published & SCOPUS/WoS Indexed
Submission Deadline: July 11, 2022
CETE aims to bring together scholars from different disciplinary backgrounds to emphasize disseminating ongoing research and development in the field. Proposals are solicited describing original works in the fields below and related technologies.
CETE will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published in the conference proceedings and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of the best papers will be considered for journal publication.
>> eLearning Concepts
– eLearning | Knowledge Sharing | eTraining
– Learning Communities | Blended Learning
– eLearning Strategies | Microlearning
– Digital Transformation in Education
– Learning Portfolios | eStorytelling
– Authoring | Reviewing | Editing | Publishing
– Academic Achievement | Digital Divide
– eLearning Assessment/Evaluation Model
– Internet of Things (IoT) and eLearning
– Innovation Ecosystem | GroupewareTools
– Program/Institution Accreditation
– Knowledge Presentation/Mastery/Sharing
– On-demand and Just-in-Time Learning
– Learner-Centered | Self-Directed Learning
– Admission/Enrollment Process and Innovations
>> AI in eLearning
– AI Support in Learning | Learning Bots
– Gamification | Game-based Learning
– Augmented and Virtual Reality
– Simulations for Learning | Ubiquitous Learning
– Contextualized Teaching and Learning
– Collaborative Knowledge Building Activities
– Learner Identification/Authentication
– Plagiarism Detection Tools
– Educational Constructivism | Smart Classroom
– Eye-Tracking in Education | Learning Analytics
– Biometric | Smart Learning Systems
– Big Data, Neural/Sensor Network in Education
– Chatbots/Deep Learning in Education
– Computational Thinking | Intelligent Tutoring
– Learning Behavior Analysis
>> Learning Support Services
– Learner Preparation | Creativity Development
– Modeling Learner Performance
– Feedback/Inputs Consideration | ICT Skills
– Internet Addiction | Public Speaking Skills
– Career | Academic Achievement Measures
– Learner Dropout Prediction and Rate Reduction
– Reading and Writing Improvement/Assessments
– eTutoring | eMentoring | eCoaching |ePlacement
>> Content and Delivery Methods
– Educational Content Analysis/Quality
– Learning/Teaching Communication Skills
– Curriculum Revitalization and Digitalization
– Critical/Practical Thinking | Testing Methods
– Cooperative Education | Mixed Teaching Mode
– Experimental Teaching | Exams/Benchmarking
– Problem-Solving Skills | Maker Education
– STEM Innovation | Resources Sharing
– Live/Virtual Classroom/Course Management
– International/Interdisciplinary Programs
– Flipped Classroom Strategies | Open Content
– Innovative Educational Approaches
>> Delivery Platforms and Tools
– Open-Source Platform | Virtual Learning Tools
– Educational/Testing Software or Platform
– Flexible/Personalized Learning Environments
– Network Virtualization Tools in Education
– Internship Management Platform
– Language Learning/Scoring System
– Adaptive/Personalized Teaching Systems
– ePublishing | Survey Tools | mLearning Tools
– Learning Management Systems
>> Cases, Education/Administration
– Case, Scenario, Project-Based Learning
– Teacher Qualification and Competency
– Teacher Education | Teaching Practice
– Education, Research, and Globalization
– Education Leadership and Administration
– General Public/Intercultural Education
– Education Challenges | Vocational Training
– Impairment and Disability in Education
– Disadvantaged Learners | University Portals
– Continuing Education Challenges
– Teaching Management/ Quality Monitoring
– Teaching/Learning from Home Challenges
– Plagiarism and Intellectual Property Rights
– Lifelong, Informal/Nontraditional Learning
– eLearning Regulation and Legislation
– Employability Trends and Challenges
>> Facilities and Equipment
– Web-based Laboratory | Digital Library
– Modeling and Simulation Virtual Labs
– Dynamics/Interaction of Virtual Learners
– In-house Computing Systems and Laboratories
>> Contribution Types (One-Column IEEE Format Style): OkIP Published & SCOPUS/WoS Indexed
– Full Paper: Accomplished research results (10 pages)
– Short Paper: Work in progress/fresh developments (6 pages)
– Extended Abstract/Poster/Journal First: Displayed/Oral presented (3 pages)
>> Important Dates:
– Submission Deadline: July 11, 2022
– Notification Due: August 01, 2022
– Camera-ready Due:  August 22, 2022
>> Technical Program Committee
Please feel free to contact us for any inquiry at: info@okipublishing.com
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CIS 2022: SCOPUS indexed LNDECT series of Springer | CHRIST Bangalore, India

May 12th, 2022 Daniela Lopez de Luise
Greetings from Soft Computing Research Society India and CHRIST (Deemed to be University), Bangalore, India.

We are pleased to inform you that  CHRIST (Deemed to be University), Bangalore in association with Soft Computing Research Society, New Delhi, India is going to organize the 3rd Congress on Intelligent Systems (CIS 2022) in virtual format. The details of the CIS 2022 are as follows:

Title of the conference: 3rd Congress on Intelligent Systems (CIS 2022).



After Conference Proceedings:  Lecture Notes on Data Engineering and Communications Technologies’ (Approval Pending) 

Indexing of the Proceedings:  SCOPUS, INSPEC, EI Compendex. All books published in the series are submitted for consideration in the Web of Science.

Date of the conference: September 05-06, 2022, Mode of the Conference: Online 

Venue: Department of CSE, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore, Kengeri Campus, India.

Topics to be covered (but are not limited to):  Intelligent Systems, Artificial Intelligence, Machine Learning, Data Science, Robotic devices and systems, Computational intelligence


Important Dates: 
             Last date of full paper submission: June 30, 2022
             Notification of acceptance: August 10, 2022
             Registration and final paper submission of accepted Paper:  August 20, 2022

Contact us through email: scrs.cis@gmail.com if you have any queries.


With Best Regards,
Prof. Balachandran K
Dr. Harish Sharma
Dr. Jagdish Chand Bansal
Prof. Joong Hoon Kim 
Dr. Sandeep Kumar
(General Chairs, CIS 2022)
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