The 2024 International Conference on Innovations in Computing Research (ICR’24)

Athens, Greece, August 12-14, 2024

CALL FOR PAPERS

You are invited to submit a full paper for consideration. Papers must be 6-10 pages long. All accepted papers will be published in the conference proceedings: Springer Book Series: Lecture Notes in Networks and Systems, and indexed by SCOPUS, DBLP, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago, WTI Frankfurt eG, and zbMATH. Papers should demonstrate significant contribution to one or more of the tracks below.

The maximum number of submitted papers per an author is TWO. An author can be 'First Author' in only one paper.

Topics of interest within each track are listed below. Other topics not listed will be considered.

Track 1: Smart Cities and Smart Energy
  • Smart Energy 
  • Smart Vehicle 
  • Smart Buildings 
  • Smart Grid 
  • Smart urbanism 
  • Smart Infrastructure 
  • Transit-Oriented Development 
  • Smart Buildings 
  • Smart Transportation 
  • Smart Environment 
  • Smart Connected Communities 
  • Smart Healthcare 
  • Smart Home 
  • Smart Water System 
  • Smart Industry 
  • Industrial Applications of Smart Energy Systems 
  • Forecasting, Operations and Planning of Energy Systems 
  • Renewable Energy and Distributed Generation 
Track 3: Health Informatics and Biomedical Imaging 
  • Semantic Health Applications 
  • Evidence-Based Care 
  • e-Healthcare Infrastructure  
  • Chronic Disease Management 
  • Predictive Modeling for Clinical Management 
  • Clinical Decision Support Systems 
  • User-Interface Design for Medical Devices and Systems 
  • Models and Architectures for Health Information Systems 
  • Medical Image Processing 
  • Evaluation of Health Information System 
  • E-visit Systems 
  • Health System Simulation 
  • Electronic Health Records/ Personal Health Records 
  • Public and Community-Based Health Informatics 
  • Medical Signal Processing 
  • Assisted Ambient Living 
Track 5: Computer and Network Security 
  • Mobile Network Security 
  • Security in Grid 
  • Control Systems/SCADA Security 
  • Network Security Engineering 
  • Wireless Network Security 
  • Cryptographic Security 
  • System Security Management 
  • Network Security Management 
  • Security Policies 
  • E-Commerce Security 
  • Data Mining Security 
  • Database Security 
  • Operating Systems Security 
  • Cloud Security 
  • Health Systems Security 
  • Smart City Security 
  • Internet of Things Security 
  • Biometrics and Forensics 
  • Information Assurance 
  • Hacking Techniques 
  • Malware Detection 
  • Intrusion Detection 

Track 2: Internet of Things (IoT) 

  • Architectures for the Internet of Things
  • Web Technologies for the Internet of Things
  • Infrastructure for Internet of Things
  • Discovery of Internet of Things Devices
  • Cloud computing for Internet of Things
  • Internet of Things Interactions 
  • Internet of Things-Based Robotics
  • Interoperability of Internet of Things Systems 
  • Applications of Internet of Things 
  • Internet of Things-Based Smart Cities
  • User Modeling and Internet of Things
  • Internet of Things-Based Intelligent Manufacturing
  • Internet of Things-Based Business Management
Track 4: Computer Science and Engineering Education   
  • System Performance Understanding 
  • Active Learning in Computer Science/Engineering 
  • Case-Based Learning 
  • Collaborative Learning 
  • Problem-Based Learning 
  • Peer Learning 
  • Web-based Learning 
  • Curriculum Development 
  • Virtual Learning 
  • Evaluation of Computing Programs 
  • Plagiarism Detection Techniques 
  • Computer-Based Students Assessment 
  • Pedagogical Approaches in Computer Science/Engineering Education 
  • Learning through computerized Surveys 
  • E-learning 
  • Intelligent Tutoring Systems 
  • Online Courseware Design 
  • Game-Based Learning 
  • Pattern-Based Instruction 
  • Software Engineering Education 
  • Outcome-Based Learning 
Track 6: Data Science 
  • Statistics Exploratory Data Analysis 
  • Data Analytics 
  • Information Integration 
  • Semi-structured and Unstructured Data 
  • Predictive Modelling 
  • Support Vector Machines for Data Science 
  • Deep Learning 
  • Evolutionary Computing and Optimization 
  • Mobile Data Management 
  • Modeling and Managing Large Data Systems 
  • Smart Cities and Urban Data Analytics 
  • Data Science Quality 
  • Data Management for Analytics 
  • Data Modeling and Visualization  
  • Sensor Data Analytics 
  • Data Science Applications 
  • Computational Models for Data Science 
  • Social Data Analytics 
  • Data Science Infrastructure 
  • Architecture and Performance