Paper Submission Deadline: Friday, 31 Thursday  Wednesday 20 September 2023

Acceptance/Non-Acceptance Notification: Wednesday 1st November 2023

Camera Ready Submission: Saturday 25th November 2023

Call For Paper   Paper Submission

ICOSST 2023 is a renowned international conference focusing on Open Source Systems and Technologies. It serves as a cross-disciplinary platform for distributed enterprise computing and e-Government. This conference enables both public and private organizations to maintain control over development and deployment costs, transforming the way software applications are designed, implemented, and utilized. Open-source software (OSS) not only offers innovative architectural approaches but also provides robust cross-platforms and frameworks for large-scale distributed systems.

This year, ICOSST 2023 will be conducted in a hybrid mode, allowing presenters to choose between virtual or in-person presentations. We are proud to announce that the event is organized by the Al-Khawarizmi Institute of Computer Science, UET Lahore, in Technical Co-sponsorship and in joint Collaboration with IEEE Computer & Communication Societies, Lahore Section, (R10), Pakistan. This two-day event aims to gather researchers and practitioners from around the globe, offering them an opportunity to exchange ideas and share their experiences concerning the state-of-the-art and future advancements in Open Source systems and technologies.

We welcome contributions in various areas related to Open Source systems, including but not limited to:

  • Generative AI and LLMs
    • Architectures, Designing, Training , Evaluation, Benchmarking  of Large Language Models
    • Optimization and Scalability of LLMs
    • Explainability and Interpretability of Open Large Language Models
    • Applications of LLMs i.e., Transfer learning, Translations, etc.
    • Applications of Generative AI like Chatbots
    • Legal and Ethical Considerations of Generative AI/LLMs
    • Testing Biases of Open LLMs and Generative AI
    • Generative AI and LLM driven Decision Support Systems
    • Synthesis and Detection of Deep Fakes
  • Software and Systems Engineering
    • Open Softwares for Emerging Systems
    • Open Software for Education, Healthcare, Finance, etc.
    • Blockchain based Software/System Applications
    • Business Intelligence Applications, Tools,  Data warehousing, and Platforms.
    • Human-Computer interaction
    • Open Software Development, Debugging,  Testing, Verification, and Benchmarking
    • Open Source Data, Tools, Software, Applications, and Analytics
  • Smart Cities & E-Governance
    • Smart Decision Support Systems for Different Domains like Healthcare, Education, Transportation
    • Disaster Surveillance and Management for Smart Cities
    • Framework, Models, Tools, Platforms, Strategies, and Data for E-Governance:
    • Capacity Building and Skills Development for E-Governance: Strategies, Tools, Data, Software
    • OpenData, Transparency, and Collaboration in E-Governance
    • Smart City Infrastructure: Protocols (LoraWAN) and Technologies (FiWARE)
    • IoT and Sensor Networks for Smart Cities
    • Energy Management, Smart Grids,  and Sustainability in Smart Cities
  • Open Metaverse and Virtual Reality
    • Virtual Humans and Digital Twins
    • Augmented Reality (AR)/Virtual Reality (VR)/Mixed Reality (MR) / Extended Reality (XR) Tools, Architectures, Applications, Modeling, Simulation, and Visualization
    • AI for AR/VR/MR/XR
    • User Behavior, User Interaction/Connectivity  with Virtual Environment, 3D Object Rendering
    • Gamification, Game Design, Development, Game-Based Learning/Training
    • Application of virtual Reality and Virtual Humans in Various Domains like Military, Healthcare, Education, Cyber Frauds, Entertainment,  etc.
  • Data Science and Artificial Intelligence
    • Data Science Algorithms, Application, Models, Analytics
    • Use Cases for Socio-Economic Development
    • Machine/Deep/Reinforcement Learning
    • Distributed, Centralized, Federated Learning
    • Natural Language Processing (NLP)/Understanding (NLU), Reasoning, Inference.
    • Speech Recognition and Processing
    • Computer Vision, Pattern Recognition and Applications
    • Ethics in Data Science/AI
    • Explainable AI (XAI)
  • Cloud Computing and Big data
    • Big data Models,  Theories, Algorithms, Approaches, Solutions, Applications, Analytics
    • Cloud Computing Maintenance, Security, Management, Optimization, Automation, and Operations
    • Big data  Processing for Fog/Edge Computing
    • Big Data Storage, Management, Retrieval etc.
    • Cloud Computing Architecture, Optimization, Protocols, Performance Modeling, Services, and Use Cases
  • Network, Communications, and Cyber Security
    • Wireless Communication Systems and Technologies
    • Drone Networking
    • Advances, Application, Architecture, Evaluation of  P2P Communication
    • Vehicular Networking (IoV/V2V/V2I/V2X)
    • Traffic Measurement, Analysis, Modeling, Visualization, and Engineering
    • Data privacy, Cryptography, and Anonymity on the  Network
    • Network Forensics and Security
    • Malware, Intrusion, Ransomware, and Virus Detection and Prevention
    • Green Communications Systems and Networks
    • Ad-hoc and Sensor Networks
    • 5G Networks: Resource Allocation, Service Monitoring, Security, Debugging, and Management
  • Internet of Things (IoT)
    • Fog/Edge Computing: Applications, Models, Mobility Management, Security, Privacy, Storage, Trust
    • Big Data/AI/Blockchain/ Cloud computing (AWS/Azure/GCP) for IOT Devices
    • Next-Generation Infrastructure and Communication Protocols for IoT
    • Case Studies and Real Worlds Applications of IoT in Healthcare, Energy, Agriculture
  • Autonomous Systems and Robotics
    • AI for Robotics and Automation: Real-World Applications
    • Intelligent and Autonomous Systems
    • Ethics and social implications of autonomous systems
    • Autonomous mobile robots and drones