Sponsor: British University in Egypt
Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges University
Technical co-sponsor: IEEE Systems, Man and Cybernetics Society

The 13th International Conference on Information Science and Technology (ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a cradle of civilization, the conference site features long historical and rich cultural heritages. Following the successes of previous events, ICIST 2023 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature preconference, tutorials, plenary speeches given by world-renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics and pre-conference tutorials/workshops to warm up the main event.

Call for Papers and Special Sessions
Prospective authors are invited to contribute high-quality papers to ICIST 2023. In addition, proposals for special sessions within the technical scope of the conference are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers on special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICIST 2023. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Topic Areas
Topics of contributing papers include, but are not limited to, the following areas:
Computer Science and Engineering
Computer networks, computer vision, pattern recognition, virtual, reality, parallel and distributed computing, high-performance computing, artificial intelligence, computer graphics, big data, cloud computing, database management systems, mobile agent computing, quality of services and communication protocol, mobile computing for e-commerce, cryptography and information security, scientific and engineering computing, hybrid computational methods, data visualization and virtual reality, web- and grid-based computing and simulation, possibility theory, Bayes network and hidden Markov models, computational intelligence, granular computing
Control and Automation
Autonomous systems, linear and nonlinear control, robust control, learning and adaptive control, intelligent control, optimization-based and optimal control, model predictive control, fault detection and identification, hybrid intelligent systems, neural control, fuzzy logic control, networked control, industrial automation, process control, robot control, mechatronic systems, vehicle control systems, intelligent transportation systems, environmental monitoring and control, intelligent manufacturing systems, microprocessor-based control, motor control, power control, vehicle control, aerospace control applications.
Signal Processing and Telecommunications
Adaptive filtering & signal processing, audio/speech processing and coding, compressive sensing and sparse representation, higher-order spectral analysis, nonlinear & blind signal processing, neural signal processing, component analysis, array signal processing, parallel and distributed processing, time series analysis, multimedia signal processing, design and implementation of signal processing systems, DSP Implementations and embedded systems, image and multidimensional signal processing, image processing & understanding, multimedia communications, next-generation wireless/wireline communications, communication signal processing, modulation and channel coding, network coding, sensor networks
Bioinformatics and Biomedical Engineering
Microarray data analysis, gene regulation, network, and pathway analysis, identification and classification of genes, protein structure prediction, next-generation sequencing and metagenomics, protein, DNA/RNA structure, function, and interactions, functional genomics and proteomics, molecular evolution and phylogeny, neuroinformatic, brain-computer interface, clinical engineering, rehabilitation engineering, neural engineering, biomedical signal analysis and modeling, bio-imaging, sensing, and data fusion, biomarker discovery, health informatics, healthcare data acquisition, analysis, and modeling, biomedical data knowledge extraction, biomedical data integration, modeling, and preprocessing, biological data mining, knowledge sharing, visualization, and knowledge utilization, biomedical data mining systems and computing platforms, electronic health record acquisition, analysis, and decision support, high performance computing for biomedical data analysis, smart clinical diagnosis and decision systems

Paper Submission
Authors are invited to submit full-length papers (the nominal number of pages is 10) by the submission deadline through the online submission system. Special session organizers are also invited to enlist six or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take into consideration of the referees' comments and suggestions. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

Important Dates
Special session proposals deadline………………………………………………………………………….July 1, 2023
Paper submission deadline……………………………………………………………………………………… August 1, 2023
Notification of acceptance……………………….…………………………………………………………..September 1, 2023
Camera-ready copy and author registration………………………………………………..………………..…October 1, 2023

10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING

DeepLearn 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://deeplearn.irdta.eu/2023su/

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Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice – IRDTA
Brussels/London

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Early registration: May 1st, 2023

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FRAMEWORK:

DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested.

SCOPE:

DeepLearn 2023 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, Guimarães, Las Palmas de Gran Canaria, Luleå, Bournemouth and Bari.

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, geographic information systems, signal processing, genomics, 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 19 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 employment 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 2023 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 2023 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

https://www.infecar.es/

STRUCTURE:

2 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.

Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKERS:

Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids

Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models

PROFESSORS AND COURSES:

Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era

Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science

Natália Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design

Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision

Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits

Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing

Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation

Marcus Liwicki (Luleå University of Technology), [intermediate/advanced] Methods for Learning with Few Data

Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration

Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning

Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild

Kaushik Roy (Purdue University), [introductory/advanced] Neuromorphic Computing

Björn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing

Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations

Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures

Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications

Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems

Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology

Lihi Zelnik-Manor (Technion – Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises

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 9, 2023.

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 9, 2023.

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 July 9, 2023.

ORGANIZING COMMITTEE:

Aridane González González (Las Palmas de Gran Canaria)
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

https://deeplearn.irdta.eu/2023su/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 as well as eventually courses in BigDat 2023 Summer.

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 are available at

https://deeplearn.irdta.eu/2023su/accommodation/

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 – Fundación Parque Científico Tecnológico

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

                                                           

Dear Distinguished Colleagues, Academicians, and Research Professionals,

We would like to invite you to submit papers to the 11th, 2023 IEEE R10 Humanitarian Technology Conference (HTC 2023) – A flagship conference of R10 IEEE organized and hosted by the IEEE Gujarat Section. The event will be held at Marwadi University, Rajkot, India from 16th to 18th of October 2023.

2023 IEEE HTC will bring together technologists, research scholars, engineers, scientists, investors, and representatives from NGOs, governments, academia, and industry. The conference will promote discussions and development of Electrical, Communication, Computing, Security, and Disaster Relief areas in general and other evolving engineering fields like AI, ML, IoT, etc. focused on addressing the humanitarian challenges under the conference theme, “Artificial Intelligence and Smart Technology for Humanity“. It will have plenary talks, keynote addresses by reputed academicians, tutorials & workshops by domain experts, research paper presentations, events for Women in Engineering and Young Professionals, sessions on entrepreneurship and innovation, Industry exhibits, and booths.

 

CONFERENCE TRACKS

Major technology topics under the conference theme include (not limited to):

Track I: Smart Technologies & IOT for Humanity

Track II: Smart City & Smart Village

Track III: Power and Energy

Track IV: Environment and sustainability

Track V: Earthquake Engineering and Disaster Management

Track VI: Agriculture

Track VII: Data Science and Engineering

Track VIII: Applied areas of Industry 4.0

Track IX: 5G Technology for Humanity

Track X: Machine Learning for Humanity

Track XI: Technologies and Innovations in Healthcare

Track XII: AR (Augmented Reality) & VR (Virtual Reality) for Humanity

Track XIII: Entertainment and Computer Gaming for Humanity

Track XIV: Education

Track XV: Security and Surveillance for humanity

Track XVI: Innovation and Entrepreneurship

Track XVII: Clinical Genomics and Bioinformatics

Track XVIII: Green and Smart Materials and Composites for sustainable habitat

Track XIX: Gut Microbiome using Bioinformatics

• All the accepted and presented paperswill be eligible for submission to IEEE HQ for publication in the form of e-proceedings in IEEE Xplore, which is indexed to the world's leading Abstracting & Indexing (A&I) databases, including ISI / SCOPUS/ DBLP/ EI-Compendex / Google Scholar.
• Authors of the best-introduced papersin each section during the conference event will be awarded the first and second places

EXTENDED DATES AND DEADLINES

Technical Paper Submission: May 15, 2023

Tutorial/Workshop/Special Session Proposals: May 15, 2023

Acceptance Notification: July 15, 2023
Camera Ready Paper Submission: July 30, 2023

Conference date: October16^th to 18^th, 2023 

Submit your paper: https://edas.info/N30216

Conference Website:  https://www.r10htc2023.org

 Contact Info: info.htc2023@gmail.com

Join our LinkedIn Page: IEEE R10 HTC 2023:LinkedIn

 

The conference attendance boasts an outstanding mix of practitioners and researchers from industry and academia. You will get face-to-face time with the top researchers and scientists working on different fields of Technology around the globe. There will be plenty of new discoveries and information presented that will inspire you to use innovative technologies in different ways for your research and academia/Industry needs.

The organizing committee will make maximum efforts to cope with COVID-19-related restrictions that may be in place during the year.

We will be looking forward to receiving your submissions!

Kindly promote the 2023 IEEE HTC conference to interested individuals and communities in your vicinity including research scholars, your colleagues in industry and academia.

Best regards and looking forward to seeing you at the 2023 11th IEEE R10 HTC in October!

 

2023 IEEE HTC Team

Attachments:

HTC 2023