September 26-29, 2022
The IEEE LCN conference is the premier conference on the leading edge of theoretical and practical aspects of computer networking. LCN is a highly interactive conference that enables an effective interchange of results and ideas among researchers, users, and product developers.
For the past 46 years, major developments from AI-enabled high-speed networking to application-focused IoT networks have been reported at this conference.
LCN 2022 includes main, symposium, short, doctoral and demo tracks. It features:
* 2 Keynote addresses at disjunct times at the main conference:
Call for (Edited) Book Proposals on Automated and Intelligent Systems -Publication in 2023/2024
September 13th, 2022 
Daniela Lopez de Luise Systems
https://www.okipublishing.com/okip/publish-with-us/book/computing/intelligent-systems.html
Oklahoma International Publishing (OKIP), USA, accepts manuscript
(edited books, monographs, encyclopedias, handbooks, textbooks,
thesis…) proposals with advanced and innovative topics related, but
not limited, to areas and fields below.
All book contents are peer-reviewed before expedited publication by OkIP
in the Chronicle of Computing series and registration, abstraction, and
fast submission for potential indexation (Crossref™, Scopus®, Web of
Science™).
Publication and Copyright: 2023/2024
>> AI, Machine Learning (ML), and Applications
– General ML | Active/Supervised Learning
– Clustering/Unsupervised Learning
– Online Learning | Learning to rank
– Reinforcement Learning | Deep Learning(DL)
– Semi/Self-Supervised Learning
– Time Series Analysis | Prediction/Forecasting
– DL Architectures/Generative-Models
– Deep Reinforcement Learning
– Computational Learning Theory
– Bandit/Game/Statistical-Learning Theory
– Optimization Methods and Techniques
– Convex/Non-Convex Optimization
– Matrix/Tensor Methods
– Stochastic/Online Optimizations
– Non-Smooth/Composite Optimization
– Probabilistic Inference | Graphical Models
– Bayesian/Monte-Carlo Methods
– Trustworthy Machine Learning
– ML Accountability/Causality
– ML Fairness/Privacy/Robustness
– Healthcare/DNA/Transportation
– Digital Economy | Ecommerce Security
– Sustainability | Energy | Green Technology
– Language | Image
– Recommendation Systems
>> Agent-based, Automated, and Distributed Supports
– Multi-Agent Systems | Software Agents
– Decentralized/Distributed Intelligence
– Context-Aware Computing
– Group Decision Support Systems
– Intelligent Structures/Networks
– Design/Automation Approaches
– Sensor Networks Architectures
– Complex Manufacturing Processes
– Analytical Models | Path Planning
– Multistage Assembly Line
– Automated Inspection
>> Intelligent Systems and Applications
– Medical Nanorobotics |
– Sensory/Embedded Systems
– Embedded Systems | Digital Manufacturing
– Optimization/Evolutionary Algorithms
– Bioinformatics/Biotechnology Applications
– Computer-Vision Applications
– Sensor-Networks Applications
– Intelligent Design | Fuzzy Systems
– Soft/Ubiquitous Computing
– Pervasive/Wearable Computing
– Intelligence Manufacturing | Microsatellite
– Cyber-physical Systems | Kinematics
>> Knowledge-based and Control Supports
– Expert/Complex Systems
– Decision-Support Systems
– Intelligent Control/Supervision Systems
– Knowledge Engineering
– Neural Networks | Structural Optimization
– Intelligent Teleoperation
– Intelligent Shopfloor
– Collision Avoidance | Fault Diagnosis
– Object Detection and Tracking | Path Planning
– Position/Quality/Motion Control
– Predictive Control
– Preventive Maintenance | Defect Detection
>> Robotics and Vehicles
– Unmanned Vehicles/Robots
– Autonomous Vehicles/Robots
– Human-Robot Interfaces
– Human-Robot Interactions
– Intelligent Telerobotics | Service Robots
– Robotic Manipulators/Arms
– Robotic Applications
– Self-Driving Vehicles | Cloud-based Driving
– Vehicular ad hoc Networks |Traffic Detection
– Vehicle-to-Vehicle Communication
– Vehicle Platooning | Steering Systems
– Vehicle dynamics | Traffic Computing
>> Proposals Submission/Notification Due Date
– Submission October 15, 2022 -> Notification November 1, 2022
– Submission November 15, 2022 -> Notification December 1, 2022
– Submission December 15, 2022 -> Notification January 1, 2023
– Submission January 15, 2023 -> Notification February 1, 2023
– Submission February 15, 2023 -> Notification March 1, 2023
– Submission March 15, 2023 -> Notification April 1, 2023
– Submission Month 15, 2023 -> Notification Next Month 1, 2023
>> Proposal Submission Link
https://eventutor.com/event/30/abstracts/#submit-abstract
>> Proposal Should Include:
– Book type and three potential titles
– Keywords (7-9) and publication type
– Book format (length, # of chapters)
– Author/editor information and CVs
– Book timeline and marketing plan
– Short abstract and table of contents
– Target audience and competing titles
– Tentative Table of Content (for monograph only)
– Recommended Topics (40-100) (for non monograph)
>> Publication Types (A or B)
A) Open Access Books
– Authors/Editors pay all processing charges
– Copyright remains with the authors
– Authors can share content everywhere
– Contents are free to download
B) Traditional Books
– Publisher pays processing charge
– Copyright transfers to the publisher
– Contents are pay-to-download
– Title/abstracts are shared everywhere
>> Book Types
– Monograph: Detailed study of a single subject written by expert
authors
– Edited book: Chapters with original research by different authors
– Encyclopedia: Multi-volumes, short chapters, current issues,
solutions, and future directions
– Handbook: Long chapters from leading experts covering cutting-edge
and trending concepts
– Textbook: Texts designed to introduce new basics or advanced subjects
>> Editorial Support
– Full publishing support
– Online hosting of published contents
– Free use of Eventutor submission system
– Discounts/incentives to Authors/Editors
>> Contact
Please feel free to contact the OkIP team for any inquiries at:
info@okipublishing.com
DeepLearn 2022 Autumn: early registration September 14
September 13th, 2022 Daniela Lopez de Luise DeepLearn 2022 Autumn
Luleå, Sweden
October 17-21, 2022
https://irdta.eu/deeplearn/2022au/
*****************
Co-organized by:
Luleå University of Technology
EISLAB Machine Learning
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
******************************************************************
Early registration: September 14, 2022
******************************************************************
SCOPE:
DeepLearn 2022 Autumn 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, Guimarães and Las Palmas de Gran Canaria.
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, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, 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 2 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 Autumn 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 Autumn will take place in Luleå, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country.
The venue will be:
Luleå University of Technology
https://www.ltu.se/?l=en
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:
Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities
Elaine O. Nsoesie (Boston University), AI and Health Equity
PROFESSORS AND COURSES:
Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer
Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP
Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis [virtual]
Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics
Nadya Chernyavskaya (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics
Sébastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data
Efstratios Gavves (University of Amsterdam), [advanced] Advanced Deep Learning
Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks
Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models
Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning [virtual]
Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding
Timothy Hospedales (University of Edinburgh), [intermediate/advanced] Deep Meta-Learning
Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering
Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging
Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition
Peter Richtárik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning
Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications
Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning
Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision
Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences
Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization
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 October 9, 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 October 9, 2022.
EMPLOYER SESSION:
Organizations 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 organization 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 October 9, 2022.
ORGANIZING COMMITTEE:
Nosheen Abid (Luleå)
Sana Sabah Al-Azzawi (Luleå)
Lama Alkhaled (Luleå)
Prakash Chandra Chhipa (Luleå)
Saleha Javed (Luleå)
Marcus Liwicki (Luleå, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Hamam Mokayed (Luleå)
Sara Morales (Brussels)
Mia Oldenburg (Luleå)
Maryam Pahlavan (Luleå)
David Silva (London, organization chair)
Richa Upadhyay (Luleå)
REGISTRATION:
It has to be done at
https://irdta.eu/deeplearn/2022au/registration/
The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, 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 participants are the same.
ACCOMMODATION:
Accommodation suggestions are available at
https://irdta.eu/deeplearn/2022au/accommodation/
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
ACKNOWLEDGMENTS:
Luleå University of Technology, EISLAB Machine Learning
Rovira i Virgili University
Fwd: [CVML] CFP: Joint International Conferences – Last few weeks to submit – Published by Springer
September 13th, 2022 Daniela Lopez de Luise
We are glad to inform you that the Machine Intelligence Research Labs (MIR Labs), USA is organizing the International Joint Conferences in online mode from 12th to 17th December 2022. The proceedings of the conference will be published in the Lecture Notes in Network Systems (LNNS) series of Springer [SCOPUS Indexed].
You are cordially invited to submit high-quality research papers. A detailed call for papers is given below. We are looking forward to receiving your research papers and seeing you online during International Joint Conferences 2022. We hope you will be able to participate. Thank you!
** International Joint Conferences Online – Published by Springer LNNS Series **
** ISDA 2022 – HIS 2022 – SoCPaR 2022 – IBICA 2022 – IAS 2022 – NaBiC 2022 – WICT 2022 **
Publisher: Springer Verlag, LNNS Series
Indexed by: SCOPUS, DBLP, INSPEC, SCImago etc.
** Important Dates**
Paper submission due: September 30, 2022
Notification of paper acceptance: October 31, 2022
Registration and Final manuscript due: November 15, 2022
Conferences: December 12-17, 2022
Cronograma Mes de la Ciencia y la Tecnología. Semana del 12 al 16 de septiembre
September 12th, 2022 Daniela Lopez de Luise |
Fecha |
Horario |
Charla/taller |
Disertante/s |
Link de inscripción |
|
13/09/22 |
18:00 hs |
SEW Eurodrive: El Control total del movimiento… |
Ing. Diego Troiano Téc. Sebastian Patarca |
|
|
14/09/22 |
10.30 hs |
Industrias del futuro – Sostenibilidad
Empresa: Schneider Electric Argentina |
Ing. Verónica Del Zar Ing. Federico Piro Lic. Gustavo Ferreyra |
|
|
14/09/22 |
16:00 hs |
Innovación abierta y Startup – Servicios digitales en la industria
Empresa: Schneider Electric Argentina |
Ing. Verónica Del Zar Ing. Federico Piro Lic. Gustavo Ferreyra |
+Información y cronograma completo del mes: https://fcytcdelu.uader.edu.ar/node/1390
Universidad Autónoma de Entre Ríos
25 de Mayo 385 – 03442 431442