Call for papers/Topics

All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:

Foundational & Independent Topics

These topics represent the core architectural, physical, and algorithmic principles unique to each standalone discipline.

The study of algorithmic processes, software design, and information representation.

Data Structures and Algorithms: Linear and non-linear data structures, sorting and searching algorithms, and computational complexity (Big O notation).
Theory of Computation: Automata theory, formal languages, computability theory, and Turing machines.
Software Engineering and Architecture: Object-oriented design, software development lifecycles (Agile, DevOps), design patterns, and microservices architecture.
Database Systems: Relational database management systems (RDBMS), NoSQL frameworks, query optimization, and data warehousing.
Operating Systems: Process management, memory allocation, file systems, concurrency, and virtualization.

The physical and mathematical foundations used to design and analyze hardware and structural systems.

Circuit Theory and Electronics: Analog and digital circuits, semiconductor devices, operational amplifiers, and signal conditioning.
Signals and Systems: Continuous and discrete-time signals, Fourier transforms, and linear time-invariant (LTI) systems.
Control Systems: Feedback loops, PID controllers, system stability analysis, and state-space modeling.
Digital Signal Processing (DSP): Sampling theory, digital filtering, and spectral analysis.

The specialized methodologies used to protect data, identity, and assets from unauthorized access or damage.

Cryptography Foundations: Symmetric and asymmetric encryption, cryptographic hashing, digital signatures, and public key infrastructure (PKI).
Identity and Access Management (IAM): Multi-factor authentication, role-based access control (RBAC), single sign-on (SSO), and directory services.
Threat and Vulnerability Management: Penetration testing methodologies, vulnerability scanning, risk assessment frameworks, and common vulnerability scoring.
Incident Response and Digital Forensics: Log analysis, malware analysis, chain of custody procedures, and disaster recovery planning.

These fields represent the spaces where computing, physical engineering, and security merge to build resilient digital and physical infrastructures.

The direct intersection of computing and engineering, along with the specialized security required to protect physical chips and components.

Computer Architecture and Microprocessors: Instruction set architectures (ISA), pipelining, cache hierarchies, and multi-core processing.
Hardware Root of Trust: Trusted Platform Modules (TPM), Secure Enclaves, and physical unclonable functions (PUFs).
Side-Channel Attacks and Hardware Exploits: Analyzing power consumption, timing variations, or electromagnetic radiation to extract cryptographic keys, and mitigating hardware bugs (like Spectre or Meltdown).
Embedded Systems Design: Microcontrollers, real-time operating systems (RTOS), and hardware-software co-design.

The integration of computing communication frameworks with the engineering of physical infrastructure and active defensive measures.

Network Architectures and Protocols: Routing protocols (BGP, OSPF), the OSI and TCP/IP models, and Software-Defined Networking (SDN).
Network Defensive Architectures: Next-Generation Firewalls (NGFW), Intrusion Detection and Prevention Systems (IDS/IPS), and demilitarized zones (DMZs).
Wireless and Mobile Network Security: Wi-Fi encryption protocols (WPA3), cellular network generation architectures (5G/6G), and rogue access point detection.
Zero Trust Network Architecture (ZTNA): Micro-segmentation, continuous verification, and perimeter-less security frameworks.

The convergence of physical control engineering with computing networks, presenting highly unique security environments.

Internet of Things (IoT) Engineering: Low-power wide-area networks (LPWAN), edge computing, firmware optimization, and IoT device hardening.
Industrial Control Systems (ICS) and SCADA Security: Modbus/DNP3 protocol vulnerabilities, network isolation, the Purdue Model for industrial control, and protecting critical infrastructure (power grids, water systems).
Robotics and Autonomous Vehicle Security: Securing Controller Area Network (CAN) buses in automobiles, securing drone telemetry links, and preventing sensor spoofing.

The deployment of enterprise computing and engineering infrastructure abstracted into virtual environments, requiring distinct security frameworks.

Cloud Infrastructure Architecture: Infrastructure as Code (IaC), containerization (Docker, Kubernetes), and serverless computing.
Cloud Security Posture Management (CSPM): Misconfiguration detection, compliance monitoring across multi-cloud environments, and cloud IAM.
DevSecOps Implementation: Automating security testing within continuous integration and continuous deployment (CI/CD) software pipelines