Computing (PICom 2023)
Nov 13-17, 2023, Abu Dhabi, UAE
Sponsored by IEEE, IEEE Computer Society
https://icnetlab.org/cyber-science2023/picom/index.html
INTRODUCTION
Over the last fifty years, computational intelligence has evolved from
artificial intelligence, nature-inspired computing, and
social-oriented technology to cyber-physical integrated ubiquitous
intelligence towards Pervasive Intelligence (PI). The IEEE
International Conference on Pervasive Intelligence and Computing is
intended to cover all kinds of these intelligent paradigms as well as
their applications in various pervasive computing domains. PICom-2023
is the conference on Pervasive Intelligence and Computing. It aims to
bring together computer scientists and engineers, to discuss and
exchange experimental and theoretical results, work-in-progress, novel
designs, and test-environments or testbeds in the important areas of
Pervasive Intelligence and Computing. PICom 2023 invites original
papers addressing all aspects related to Pervasive Intelligence and
Computing.
Topics of interest include but are not limited to the following:
Deep Learning and Deep Computation
Big Data and Smart Data
Brain-inspired Computing
Crowdsourcing and Social Computing
Collective Intelligence
Agent-based Computing
Ubiquitous Intelligence
Cyber-Physical Computing
The Internet of Things
Edge Intelligence
Embedded HW, SW and Systems
Pervasive Devices and RFIDs
Wearable Devices and Applications
Sensor Technology and Networks
Pervasive Networks/Communications
Edge and Fog Computing
Device Virtualization
Privacy, Security and Trust
Context-Aware Computing
Mobile Data Mining
Ubiquitous Data Mining
Activity Recognition
Intelligent Cloud Computing
Services for Pervasive Computing
Smart Cities and Smart Homes
Intelligent Social Networking
Pervasive Technologies for ITS
HCI for Pervasive Computing
Middleware for Pervasive Computing
Intelligent/Smart IoT
Programming Abstractions for IoT
The 2023 edition of IEEE PICom will be organized in research tracks.
Therefore, papers should be submitted to a single track, the one that
better fits their subject, from the following:
Track 1: Computational Intelligence
Track 2: Intelligent Networks, Middleware and Applications
Track 3: Pervasive Computing and Activity/Affect Recognition
Track 4: Smart Object, Environment, System and City
Track 5: Edge Intelligence
In addition to the Technical sessions, we will have a workshop and a
special session on highly relevant and timely topics. Calls for papers
for the workshop and technical session are on their respective
websites:
Special Session on Distributed Machine Learning for Edge/Fog
Computing: Challenges and Future Directions –
https://asuna-as.github.io/conferenceWebsite/
Workshop on AI and Big Data for Next-G Internet of Medical Things
2023: https://sites.google.com/view/ai-iomt-2023/home
=====================IMPORTANT DATES=============================
Main Conference Papers
Paper Submission Due: (Final) 21 August, 2023
Authors Notification: 15 September, 2023
Camera-ready Submission: 30 September, 2023
=====================SUBMISSION INSTRUCTIONS======================
Authors are invited to submit their original research work that has
not previously been submitted or published in any other venue.
Regular, work-in-progress (WiP), workshop/special session, and poster
papers need to be submitted via Easychair
https://easychair.org/conferences/?conf=dascpicomcbdcomcyber0
Please select the respective track/WS/SS when submitting the paper.
Papers should be prepared in IEEE CS Proceedings format. IEEE
formatting information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Regular Papers: 6-8 pages
WiP/Workshop/Special Session Papers: 4-6 pages
Posters: 2-4 pages
All accepted papers in the main tracks, workshops, special sessions
and demos/posters will be published in an IEEE Computer Society
proceedings (IEEE-DL and EI indexed). Best Paper Awards will be
presented to high quality papers.
Some papers originally submitted as full papers can be accepted as
short papers or posters during the review process. In such cases, the
authors will need to reduce the paper accordingly when preparing the
camera-ready version.
At least one of the authors of any accepted paper is requested to
register and present the paper at the conference. If it is not
possible for any of the authors to present the paper in person, online
presentation or video recording will be allowed.
================= ORGANIZING COMMITTEE ===========================
Honorary Chair
Albert Zomaya, The University of Sydney, Australia
General Chair
Flavia C. Delicato, Fluminense Federal University, Brazil
Program Co-chairs
Antonio Liotta, University of Bolzano, Italy
Deepak Puthal, Khalifa University, UAE
Tracks Co-Chairs
Lorenzo Carnevale, University of Messina, Italy
Ali Dewan, Athabasca University, Canada
Nicolas Tsapatsoulis, Cyprus Univ. of Tech., Cyprus
Claudio Miceli de Farias, Federal University of Rio de Janeiro, Brazil
Souvik Pal, Society for Intelligent Systems, Chennai, India
Workshop & Special Session Chairs
Antonio Guerrieri, ICAR-CNR, Italy
Paulo de Figueiredo Pires, Dell, Brasil
Publicity Chairs
Celimuge Wu, The University of Electro-Communications, Japan
Evandro Macedo, IC-UFRJ, Brazil
Andrea Vinci, ICAR-CNR, Italy
Xiuwen Fu, Shanghai Maritime University, China
Gautam Srivastava, Brandon University, Canada
Kapal Dev, Munster Technological University, Ireland
Advisory Chair
Victor Chang, Aston University, United Kingdom
Steering Committee
Jianhua Ma, Hosei University, Japan
Laurence T. Yang, St. Francis Xavier Univ., Canada
Adnan Al-Anbuky, Auckland U Tech., New Zealand
Flavia C. Delicato, Fluminense Federal University, Brazil
Abstracts Ext August 23: CAIS 2023 Automated and Intelligent Systems, Oct 2-5, USA & Online
August 16th, 2023 
Daniela Lopez de Luise (CAIS)
Downtown Oklahoma City, OK, USA & Online October 2-5, 2023
https://eventutor.com/e/CAIS003
Submission Deadline Extended: August 23, 2023 Extended versions of the best papers will be considered for publication in the inaugural volume of the International Journal of Automated and Intelligent Systems.
*** Keynotes
“Embedded AI Applications”
Subramaniam Ganesan, PhD
Oakland University, Rochester, MI, USA
“AI and Digital Transformation: Industry Driven Partnerships”
Adel S. Elmaghraby, PhD
University of Louisville, KY, USA
*** Contribution Types (Two-Column IEEE Format Style):
– Full Paper: Accomplished research results (6 pages)
– Short Paper: Work in progress/fresh developments (3 pages)
– Extended Abstract/Poster/Journal First: Displayed/Oral presented (1
page)
*** Areas:
>> 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
– Dialogue System | Conversational Agent
– 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
– Natural Language Processing
>> Natural Language Processing (NLP)
– Conversational Agents | Dialogue System
– Large Language Models | Grammatical Tagging
– Natural Language Generation/Toolkit
– Linguistic Morphology | Morphological Analysis
– Morphemesx Characteristics
– Language Models and Smoothing
– Document/Topic Classification/Notation
– Sequence Labeling |Speech Tagging
– Named Entity Recognition
– Lexical Semantics | Word Embeddings
– Phrase Structure | Dependency Syntax
– Sentence Semantics | Speech Recognition
– Question Answering | Machine Translation
– Document Summarization | Sentiment analysis
– Co-Reference Resolution
– Word sense disambiguation
– NLP Tools/Approaches | Statistical NLP
– AI/Machine/Deep Learning Techniques for NPL
– Convolutional/Recurrent Neural Networks
>> 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
>> New Important Dates:
– Abstract or Paper Submission: August 23, 2023
– Author Notification: September 7-10, 2023
– Camera Ready Paper Submission, Registration: September 20, 2023
– Conference Date: October 2-5, 2023
>> Technical Program Committee
https://eventutor.com/event/38/page/83-committee
Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info@okipublishing.com
8th International Symposium on Intelligent Informatics (ISI’23)
August 16th, 2023 Daniela Lopez de Luise Call for Papers: 8th International Symposium on Intelligent Informatics (ISI’23)
December 18-20, 2023, Bangalore, India
https://acn-conference.org/2023/isi2023/
Submission Deadline: September 30, 2023
EDAS Submission Link: https://edas.info/N31318
Proceedings by Springer in Smart Innovation, Systems and Technologies Series
=====================================================================
The 8th International Symposium on Intelligent Informatics (ISI’23) aims to bring together researchers and practitioners from all over the world to share and discuss theoretical and practical developments in intelligent informatics. The scope of the Symposium includes but is not limited to, AI, Machine Learning, Cognitive Computing, Soft Computing, Security Informatics, Data Science, Computer Vision, Pattern Recognition, Intelligent Software Engineering, Intelligent Networked Systems, IoT, Cyber-Physical Systems and NLP. All accepted papers will be published by Springer in Smart Innovation, Systems and Technologies Series. This series is abstracted/indexed by SCOPUS, EI Compendex, INSPEC, SCImago and DBLP. The proceedings will be available via the SpringerLink digital library.
ISI’23 invites original and unpublished work from individuals active in the broad theme of the Symposium. Topics of interest include, but are not limited to:
ICIP2023 Tutorial: Quantum Machine Learning meets Image Understanding
August 16th, 2023 Daniela Lopez de Luise https://2023.ieeeicip.org/tutorials/
In this context the presentation will focus on relevant aspects of quantum technologies for image understnading. With the goal to identify if a quantum algorithm may bring any advantage compared with classical methods, will be firstly analysed the data complexity (i.e. data as prediction advantage). Secondly, it will be presented the classes of complexity of the algorithms. Thirdly, it will be identify major challenges in EO which could not yet be solved by classical methods, as for instance the causality analysis.
Data embedding is of key importance. Non-quantum data are many times “artificially” encoded at the input of quantum computers, thus quantum algorithms may not be efficient. For instance the polarimetric images are represented on the Poincare sphere which maps in a natural way to the qubit Bloch sphere. Thus, polarimetric images will not be any more processed as “signal” but directly as a physical signature. Further will be discussed the advantages of quantum annealing (D-Wave) for solving local optimization for non-convex problems. Also, the potential and advantage of the recent TensorFlow Quantum and the implementation of parametrized quantum circuits (PQC). The presentation will address the entire image analyis cycle encompassing the particular features from data acquisition, understanding and modelling of the image sensor, followed by information extraction. The quantum ML techniques are practically implemented using the open access to various quantum computers, as D-Wave, IBM, or Google. Hybrid methods will be discussed for satellite observations, i.e. managing the I/O of the data and maximally use the resources of quantum computers and quantum algorithms.
MultiFarm track (Call for systems)
August 16th, 2023 Daniela Lopez de Luise