iQ-CCHESS’23 invites contributions in all areas related to Computer Science and Engineering, but not limited to, the following streams:

• Quantum Technologies
• Cloud Computing & security
• Internet of Things (IoT) & security
• Communications & Networks
• Biomedical Engineering and Healthcare Technologies
• Robotics, Control, Instrumentation, and Automation
• High Performance computing and Scalable systems
• Big Data Analytics & security
• Intelligent Systems
• Cognitive Computing
• Reconfigurable Computing and Embedded Systems
• Hardware Security
• Blockchain Technology
• Cyber Security and Privacy

TRACK 1: Quantum Technologies Quantum Computing programming languages and algorithms; Hybrid Quantum solutions; Quantum Computing in computational science; Quantum machine learning; Supercomputing infrastructure using Quantum; Quantum Computing hardware; Quantum error correction; Quantum software engineering; Quantum information theory; Quantum simulators; Cloud Quantum Computing; Quantum Computing for industries, education, video games, and interactive art; Quantum communications, sensing, and cryptography, Post-Quantum cryptography.

TRACK 2: Cloud Computing & security Cloud infrastructures, systems, and architectures; Cloud programming; Cloud storage; Cloud Computing for Big Data; Mapreduce systems and applications, Cloud Computing for IoT; Cloud as a service; QoS aware Cloud Computing; Green Cloud Computing; Mobile Cloud Computing; Cloud operations management; Cloud Edge; 5G Cloud; Fog computing; Cloud High Performance Computing, Data center networking, Cloud security and privacy; Cloud Metaverse.

TRACK 3: Internet of Things (IoT) & security IoT Interoperability and Multi-Platform Integration; IoT Protocols and Standards; Ultra-low power IoT Technologies and Embedded Systems Architectures; Sensors Data Management; IoT Mining and Analytics; Smart Cities; IoT-based Building Automation; Smart Agriculture and Water Management; e-Health; IoT-based Supply Chains; Smart Grid and Energy Management; Social Models and Networks; Green IoT: Sustainable Design and Technologies; Urban Dynamics and crowdsourcing services; IoT Privacy and Security Concerns; Identification and Authentication Issues; Wireless Sensor Network for IoT Security, Intrusion Detection in IoT; Cryptography, Authentication and Authorization for IoT, Network Attacks in IoT, Big Data and Information Integrity in IoT and Scalability.

TRACK 4: Communications & Networks Green Communications; Wireless Communications and Networks; Optical Communications and Networks; Modulation and Coding Techniques; AdHoc, Mesh, and Cellular Networks (AMCN); Sensor Networks; Vehicular Networks; Communication Networks Architectures and Algorithms; Social Networks and Computing (SNC); Cyber Physical Networks; Software Defined Networks and Network Virtualization Technologies (SDN/NFV); Mobile communication networks and computing; AI and Emerging Topics in Networking (AIETN).

TRACK 5: Biomedical Engineering and Healthcare Technologies Biomedical Signal Processing and Instrumentation, Wearable Sensors for Health care monitoring, Biomedical Imaging, Micro/Nano-bioengineering, and Cellular/Tissue Engineering & Biomaterials, Computational Systems, Modeling, and Simulation in Medicine, Biomedical and Health Informatics

TRACK 6: Robotics, Control, Instrumentation, and Automation Humanoid robots, Mobile robotics, Space and underwater robots, Assistive robots; Autonomous robots; Human-Robot interaction; Telerobotics; Walking and Climbing Robots; Robotic Automation; Robot Localization and Map Building; Control system modeling, Intelligent control, Neuro-control, Fuzzy control, and their applications, Networked control systems, Instrumentation systems, Industrial automation, Surveillance.

TRACK 7: High Performance computing and Scalable systems Parallel and distributed algorithms and design techniques; Fault tolerance and Resilience algorithms; Concurrency and Data locality algorithms; Resource allocation and optimization techniques; Classical and emerging computation models; High performance processing architectures; Networks for high performance computing platforms; Simulation and Visualization applications; Heterogeneous and Hybrid programming; Scalable systems and software architectures for high-performance computing; Scalable algorithms for fundamental data analysis; Scalable algorithms and techniques to reduce the complexity of large-scale data; Scalable algorithms for data-driven application domains; Scalable algorithms with transparency; Scaling and accelerating machine learning, deep learning, and computer vision applications.

TRACK 8: Big Data Analytics & security Foundational models for Big Data; Frameworks and mechanisms for Big Data Analytics (Healthcare, Finance, Banking etc.); Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics; time-series analysis, Data streaming, statistical analysis for big data; Data visualization; Multi-modal support for Big Data Analytics; High-performance computing for Big Data Analytics; Information security and privacy.

TRACK 9: Intelligent Systems Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intelligence; Natural Language Processing; Data Mining; Machine Learning; Neuromorphic systems; Biometrics; Sentiment Analysis; Human Computer Interaction; Pattern Recognition; Image/Video Processing; Brain-Machine Interface; Geographic Information Systems; Signal Processing; Segmentation Techniques; Augmented/Virtual Reality; Metaheuristic algorithms; Business Intelligence; Crowd Sourcing & Social Intelligence; Ambient intelligence and Affective computing; Context-aware pervasive systems.

TRACK 10: Cognitive Computing Cognitive and computation models; Human reasoning mechanisms; Neuroscience; Neuromorphic computing; Neuromorphic devices; Brain information processing and informatics, Spiking hierarchical models; Vision sensors; Sensory modalities; Temporal approach to object recognition; Hierarchical temporal memory; Spatio-temporal event recognition; Reasoning with relative directions; Web-navigation via Cognitive Models; Mining cognitive patterns; Bag-of-Features for retrievals; Computing with symmetries; Periphery of Knowledge; Emotions and cooperation levels; Artificial intelligence and cognition; Agent-based adaptive systems; Autonomous systems and autonomy-oriented computing.

TRACK 11: Reconfigurable Computing and Embedded Systems Reconfigurable computing platforms and architectures; Heterogeneous platforms; Reconfigurable processors; Statically and dynamically reconfigurable systems and components; Reconfigurable computing for machine learning, data center and high-performance computing; FPGA and CGRA architectures; FPGA partial reconfiguration; Design methods and tools for reconfigurable computing; Application-Specific Processors and Devices; Component and Binding Models; Embedded Computing Education; Embedded System and Software; Embedded System Architecture; Integration with Business Logic; Integration with SOA; Middleware; Networked Embedded Systems; Programming Abstractions; Real-time Systems; Service-Oriented Architectures; Testing Techniques.

TRACK 12: Hardware Security Cryptographic Hardware and their Implementation, Optimization of Cryptographic Hardware on FPGA, Physically Unclonable Functions (PUFs), Side-channel Attacks on Cryptographic Hardware, Modern IC Design and Manufacturing Practices and Their Implications, Hardware Trojans.

TRACK 13: Blockchain Technology Blockchain and cryptocurrency; Payment solutions with cryptocurrency; Transactions and security; Ethereum and smart contract development; Fintech enterprise deployment; Public vs private blockchain implementation; Decentralized autonomous solutions; Identity and authorization systems; Communication networks on blockchain; Security and privacy using blockchain; Blockchain for Cloud environments; Fraud prevention using blockchain.

TRACK 14: Cyber Security and Privacy Cryptography; eCrime and malware; Information Security; Communication Security; Biometric--based Security; Data Analytics for Security and Privacy; Cloud-edge security and privacy; Integrated Security Design Schemes; Surveillance; Malware Analysis; Intrusion Detection Systems; Cyber security and machine learning; Applied Cryptography; Lightweight cryptography; Post-quantum Cryptography; Financial Cryptography; Cyber Security and Digital Forensics.