Conferences  >  Informatics  >  Information & Knowledge Management, Big Data Computing

CARE College of Engineering

In this digital era, Internet of Things [IoT], big data and computer networks are dedicated to provide new innovative contributions focused towards the development and deployment of wide range of intelligent and networked information systems. Smart IoT and big data platform allows the networked devices to communicate along with the core values of volume, variety and velocity which in turn leads to the integration of Big data and IoT with advanced machine learning and other advanced techniques.

Phone: [9597324073];     Email: icocbi.conf@gmail.com

Internet of Things AI and Machine Learning for the IoT Energy Efficiency and Sustainability in IoT Smart Sensing, Signal Processing and Analytics Human-Machine Interaction and IoT M2M/IoT Services over Distributed Networks Cloud/Fog/Edge-enabled Big Data Intelligence over IoT 6G-Enabled Internet of Things Security, Privacy, Intrusion Detection for the Internet of Things Big Data Multi-Modal Perceptual Big Data Analysis Intelligent Data Mining Machine Learning on Big Data Data Science and Scalable Computing Predictive Analytics and Simulation Big Data as a Service (BDaaS) Platform and Technologies Big Data System Reliability, Dependability, and Availability Knowledge Extraction, Discovery, and Analysis Security and Privacy-Aware Data Management Cloud Computing Cloud-centric Network Architectures Social and Mobile Cloud Applications Cloud Service Adaptation and Automation Fault Tolerance, Availability, and Reliability Distributed Ledger Technologies to Cloud Sustainable Cloud Computing Hybrid-clouds/Multi-clouds/Terminal-Edge-Cloud Integration Cloud Computing Virtualization

Internet of Things (IoT) and Sensor Networks,    Distributed, Edge and Cloud Computing

SmartSecLab

The big data paradigm has become an inevitable aspect of today's digital forensics investigations. Acquiring a forensic copy of seized data mediums already takes several hours due to the increasing storage size. In addition are several other time-consuming laboratory analysis steps required, such as evidence identification, corresponding data preprocessing, analysis, linkage, and final reporting. These steps have to be repeated for every physical device examined in the criminal case. Conventional digital forensics data preprocessing and analysis methods struggle when handling the contemporary variety, variability, volume and velocity of case data. Thus, proactive approaches have to be developed and integrated in daily law enforcement operations; for timely detection and prevention of the illegal activities in a data-intensive environments. Thus, there is a need for advanced big data analytics to aid in cyber crime investigations, which requires novel approaches for automated analysis. This workshop is organized to bring together recent development in big data analysis to aid in current challenges in cybercrime investigations.

IEEE International Conference on Big Data 2022

R V College of Engineering

Recent years have witnessed that the knowledge-based systems have the ability to exhibit a higher level of intelligent performance as human experts. Expert systems help to solve the computationally complicated real-time applications by processing only the explicitly stated knowledge parameters. With new technologies like cloud computing, IoT, Sustainable computing it has been critical to meet the quality requirements of intelligent knowledge-based systems like expert systems. The emerging researches in the area of Artificial Intelligence, Expert Systems and computing technologies are changing the landscape of Intelligent Systems in real-time applications. This International Conference on Expert Clouds and Applications [ICOECA 2023] is solely dedicated to discovering the new research insights on Artificial Intelligence, Big Data, Cloud Computing, Sustainability, Knowledge-based Expert Systems. Moreover, the conference seeks potential research submissions from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and Artificial Intelligence [AI] technologies.

Professor;     Phone: [9790041578];     Email: info.icoeca@gmail.com

Francis Xavier Engineering College

5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2023) aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences, the state of the art and practice of cloud computing, identify emerging research topics, communication technologies and define the future of intelligent communication approaches, cloud computing and research results about all aspects of Engineering Technology and Innovation. All topics regarding cloud computing align with the theme of Virtual Mobile Cloud and Communication Technologies. Such applications will have incredible impacts on almost every feature of our daily life, including transportation, e- commerce, healthcare, safety and location privacy, smart home and smart city, social interaction, and many more. We will celebrate our 2021 version of gathering, to strive to advance the largest international professional forum on virtual mobile cloud computing and communication technologies.

Phone: [+91 9600368297];     Email: icicv.conf@gmail.com

INTELLIGENT COMMUNICATION TECHNOLOGIES 1. Advanced 5G/6G Network Architectures 2. Intelligent Communication Environments 3. Internet of Things [IoT] 4. Communication Security, Standards, and Applications 5. Artificial Intelligence and Human Computer Interaction Models 6. Millimetre and Terahertz Communications 7. Big Data Mining and Data-Driven Communication Models 8. Collaborative Communication Models 9. Security, Privacy and Trust COMMUNICATION TECHNOLOGIES 1. Social Interaction and Mobile Communications 2. Internet Virtualization and Cloud 3. Machine Learning and Wireless Communication Research 4. Wearable Computing and Communication Models 5. Virtual Reality and Extended Reality Models 6. Ubiquitous Computing and Communication Techniques 7. Cooperative and Cognitive Virtual Networks 8. Network Traffic Analysis and Modelling 9. Next-Generation Adaptable and Automated Virtual Networks

Executive Insights GmbH & Co. KG

Email: service@executive-insights.com

Data Governance, Datanstrategie, Data Strategy, Data Culture, Data Mesh, Data Excellence, Data Quality, Data Engineering, datengetriebene Organisation, Data Analytics, Business Intelligence, Big Data, Metadatenmanagement, Self Service Reporting,

Leibniz Institute for Psychology (ZPID)

We are happy to announce that the 4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science will be organized by the Leibniz Institute for Psychology (ZPID). The conference will take place from 8-10 of May 2023 at the DIPF | Leibniz Institute for Research and Information in Education in Frankfurt/Main.

Social Networks and Social Aspects of Information Technology,    Psychology

Princeton University

International Conference on Statistical Foundations of Data Science and their Applications will be held at Princeton University in May 8-10, 2023. The conference will bring together collaborators and leading researchers in statistics and data science. The conference will provide an excellent forum for scientific communications and promote collaborations among researchers in statistics and data science. The program covers a wide range of topics presenting recent developments and the state of the art in a variety of modern research topics on statistics and data science as well as their applications.

Probability and Statistics, Game Theory,    Scientific Computing and Data Science

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

ACMSC

2023 5th International Conference on Information Technology and Computer Communications (ITCC 2023) will be held during June 15-17, 2023 in Tianjin, China.

ITCC 2023 is supported by Tianjin University of Technology and Education and ACM Singapore Chapter and some other universities and Societies.

Email: amychou2020@163.com

Information Technology; Information Theory; Automata Theory; Artificial & Computational Intelligence; Control Theory; Communication Technologies; Digital communication technologies; Satellite communication technologies; Wireless network communication technologies;

Narasu’s Sarathy Institute of Technology

The rapid proliferation of communication technologies and software engineering practices have witnessed the fast-growing research interests in information and communication technologies and social networking, which tends to play an integral part in our daily lives. The 3rd International Conference on Pervasive Computing and Social Networking [ICPCSN 2023] promotes the development of pervasive communication systems and pursuing Social Networking applications for communication platforms, networks and devices. ICPCSN 2023 aims to collaborate and promote state-of-the-art research works on the conceptual, constructive, empirical, theoretical and practical implementations of pervasive Computing and Social Networking methods for developing more novel ideas and innovations in the emerging Information and Communication Technologies [ICT].

Principal;     Phone: [7339177458];     Email: icpcsi.conf@gmail.com

Pervasive Computing:- 1. Ubiquitous Networking and Sensing Models, 2. Smart Interface Design Models, 3. Data Mining Techniques, 4. Smart Crowdsourcing and Intelligent Models, 5. Human-Computer Interaction Models, 6. Social Intelligence and Computing Models, 7. Adaptive Computing in Robotics Systems, 8. Artificial Intelligence and Machine Learning Models, 9. Machine-to-Machine Communication, 10. Intelligent User Interface Models, 11. Brain-Machine Interaction, 12. Pervasive Wearable Communication Models, 13. Deep Learning and Deep Computation, 14. Smart Grid Computing and Cloud Computing, 15. Smart Systems [Smart Home; Gaming; Healthcare; Cities and Transportation; Etc.], 16. Smart Space Systems and Techniques, 17. Autonomic Computing Social Networking:- 1. Opportunistic Networks Models and Applications, 2. Internet of Things and its Architectures, 3. Wireless Sensor Networks, 4. RFID Systems; Design and Implementations, 5. Big Data and Cyber-Physical Systems, 6. Heterogeneous Multilevel Networks, 7. Peer to Peer Social Networking Models, 8. Web-based Semantic Models and Commodities, 9. Challenges and Opportunities in Social Networking, 10. Edge and Fog Computing in Social Networks, 11. Context-aware Mobile Social Networks, 12. Smart Authentication and Authorization Models, 13. Cyber Security and Cyber-Physical Systems, 14. Security Issues and Technical Challenges in Social Information Networks, 15. Cloud Security Models in Social Networks, 16. Block Chain Models in Social Information Networks

Engineering (general),    Networks, Internet

Mathematical Sciences Research Institute (MSRI)

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Courses and Events for Math Students and Early Career Researchers,    Scientific Computing and Data Science

CZES-nd

2023 The 3rd International Conference on Computer Vision and Information Engineering (CVIE 2023) will be held in Guiyang, China during July 20-22, 2023.

Email: Nazal@sina.com

Active and robot vision; Invariance in pattern recognition; Biometric authentication; Knowledge-based recognition; Camera networks and vision; Statistical pattern recognition; Face and gesture recognition; Algorithms and bioinformatics; Geographical information systems; Artificial intelligence; Global navigation satellite systems; Automated software engineering; Grid and scalable computing;

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

We have lately witnessed one-after-another ground-breaking developments in the AI world. Data science is the essence of this world and perhaps the fastest expanding domain. At the same time, data science is born from the interaction of multiple research areas including statistics and machine learning. The fundamental statistical principles formed a pillar of data science in the beginning and remain pivotal for its healthy growth. The powerful algorithms developed in computer science keep data science practically relevant and central in Big Data analytics. Promoting the interactions between these two areas will undoubtedly further advance the development of data science. Latent structure models are powerful products of statistical principles and offer a simple yet effective platform to capture the complexity and heterogeneity in big data. Their usage goes beyond any single discipline, and naturally integrates the advantages of various areas such as statistics, economics and machine learning. This workshop brings together researchers with expertise in latent structure learning and provides a platform to share their achievements, exchange research ideas, and build new collaborations. We wish to promote the use of latent model techniques and simulate further development of highly interpretable, reproducible, and powerful AI methods. The workshop covers a broad range of topics in the latent structure model: theory, algorithms, and applications. We will also set eyes on future research trends and interdisciplinary directions.

University College Cork & TC309 Machine Learning and Big Data

The theme of the symposium is Data-centric solutions for reshaping the next generation geo-industries and the symposium is hosted by ISSMGE Technical Committee of Machine Learning & Big Data (TC309).

Development of benchmark datasets for geoscience and geo-industries - Development and application of innovative geotechnical monitoring technologies to subsurface engineering and geoscience - Gathering and processing of big data and metadata in geoscience and geoengineering - Big geodata mining, generation of big geodata by computational methods and etc. - Development and optimisation of machine learning algorithm for geoscience and geotechnics - Applying artificial intelligence to site investigation and geo-materials behaviour - Application of machine learning and data analytics for design, construction, maintenance of geotechnical assets during the whole-life cycle - Role of visual data analytics, virtual reality and data-centric technology in geosciences and beyond

Geophysics and Geology,    Neural Networks and Artificial Intelligence, Machine Learning

CIRM – Centre International de Rencontres Mathématiques

Scientific Computing and Data Science,    Social Networks and Social Aspects of Information Technology

ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Scientific Computing and Data Science,    Applied Mathematics (in general)