Alhamd Islamic University, Shahpur Barakahu, Islamabad
UAN: 0334 – 1115555
amcet20@alhamd.pk

Call For Paper

Alhamd Multidisciplinary Conference on Emerging Technologies

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Conference Themes and Topics

The AMCET-20 is seeking submissions related to the following conference Tracks:

1. Modeling & Simulation for Emerging Technologies

  1. Agent-based Modeling
  2. Complex Network Modeling
  3. Multi-scale modeling
  4. Discrete Event Simulation
  5. Formal Specification-based Simulation Models
  6. Formal and Textual Specification of Complex Systems Models
  7. Verification & Validation of Models
  8. Distributed simulation
  9. Participatory simulation
  10. Modeling and Simulation of Complex Adaptive Communication Networks and Environments (CACOONS)
    1. Wireless sensor Networks
    2. Body Area Networks
    3. Vehicular Networks
    4. Nano-communication networks
    5. Self-organizing networks
    6. Online social networks
    7. Offline social networks

2. Signal Processing & Next Generation Communication Systems

Signal processing & Communications are very intimately related research areas, which have found applications in many diverse fields, including multimedia systems, biomedical systems, radio communications, visible-light communications and quantum communications. The Signal Processing and Communications track deals with both the theory and application aspects. Papers with original work in all related application areas are invited. Participation from Asia Pacific region is particularly encouraged. The topics of interest include, but not limited to the following:

  1. Digital Filter Design
  2. Audio and Music Signal Processing
  3. Acoustic and Speech Signal Processing
  4. Multimedia Signal Processing and Communications
  5. Image Processing and Applications
  6. Adaptive and Intelligent Signal Processing
  7. Blind Source Separation
  8. Active Noise Control Systems
  9. Acoustic Echo Cancellation
  10. Biomedical Signal Analysis, Processing, and System Design
  11. Adaptive Filters: Theory, Methods, and Applications
  12. Communication: Theory and Systems
  13. Adaptive wireless systems
  14. Human Machine Interface and Communication
  15. Mobile and Wireless Communication
  16. Joint source-channel optimization techniques
  17. Signal processing for MIMO and OFDM systems
  18. Transceiver designs for 5G networks
  19. Machine Learning for wireless communications
  20. Energy harvesting techniques
  21. Simultaneous Wireless Information and Power Transfer (SWIPT)
  22. Orthogonal Multiple Access (OMA) and Non-Orthogonal Multiple Assess (NOMA)
  23. Cognitive Radio and Cooperative Communications
  24. Channel coding and modulation techniques
  25. Visible-light communications
  26. Quantum communications
  27. Other Emerging Applications of Signal Processing and Communications

3. Smart Grid, Energy & Electronics

  1. Regulated and De-regulated Energy Markets
  2. SG Architectural Model-PMU, PDC, IED, Smart Meters, and Super PDC
  3. Renewable Generation
  4. Demand Response Programs
  5. Consumer Interactions and Empowerment
  6. Energy Management
  7. Weather Parametric Effects on Smart Consumers
  8. Green Environment
  9. Smart Grid and Data Centers
  10. Energy Efficient Smart Grids
  11. Signal Processing in Smart Grids
  12. Security Issues in Smart Grids
  13. Environment and Economics
  14. Standards, Security, and Interoperability
  15. Stability and Control
  16. Linear and Non-Linear Control
  17. HVAC and HVDC Modeling, Analysis, and Control
  18. Power System Dynamics and Control
  19. Grid-Interfaced Models, DFIG, PMSG and PV Models
  20. Power Electronics
  21. AC/DC Electric Drives
  22. Electric Machines Control in Grid-Interfaced Models
  23. Converter Analysis, Modeling, and Design
  24. Performance Metric for Efficient Smart Grid
  25. Existing Smart Grid Models in World
  26. Micro Grids as Distributed Generation
  27. Electric Vehicles V2G/G2V
  28. Electric Ships
  29. Electric Traction using DG Systems

4. Data Science & Advanced Analytics

General areas of interest to this track include but are not limited to:

  1. Mathematical, probabilistic and statistical models and theories for Data Science
  2. Data science meets social science
  3. Data science education and training practices and lessons
  4. Data science Applications in various domains
  5. Machine learning theories, models and systems
  6. Knowledge discovery theories, models and systems
  7. Structured and unstructured learning
  8. Deep learning and deep analytics
  9. Big data visualization, modeling and analytics
  10. Crowdsourcing and collective intelligence
  11. Security, trust and risk in big data
  12. Structure/group/community/sentiment mining
  13. Feature selection, transformation and construction
  14. Web Analytics

5. Pattern Recognition, Image & Natural Language Processing

5.1. Computer Vision & Pattern Recognition

  • Handwriting Analysis and Recognition Industrial and Medical Applications of Pattern Recognition
  • Pattern Recognition Principles
  • Robotics & Remote Sensing Applications of Pattern Recognition
  • Biometrics Applications
  • Pattern Recognition & Applications
  • Robotics and Perception
  • Parallel and Distributed Pattern Recognition
  • Virtual reality & Medical Applications
  • Mathematical Theory of Pattern Recognition
  • Vision for Graphics
  • Vision for Robotics
  • Natural Language Processing and Recognition
  • Document Processing and Recognition
  • Automated Reasoning and Inference
  • Neural Networks
  • Artificial Intelligent Techniques and Recognition
  • Knowledge representation and reasoning
  • Heuristic Search
  • Multi-agent Systems 
  • Deep Learning
  • Reinforcement Learning and Temporal Models
  • Support Vector Machines and Kernel Methods
  • Natural Language Processing for IR

5.2. Image, Speech and Video Processing

  • Image Storage, Retrieval and Authentication
  • Motion and Tracking
  • Segmentation and Recognition
  • Face Recognition
  • Medical image processing
  • Image and Video Analysis and Understanding
  • Automatic Speech and Speaker Recognition
  • Spoken Language Processing
  • Speech and Natural Language Based Interaction
  • Multimedia Analysis, Indexing and Retrieval
  • Video and Image Retrieval, Audio and Speech Retrieval

5.3. Natural Language Processing

  • Authorship identification, plagiarism and spam filtering
  • Corpora and language resources
  • Discourse, co-reference and pragmatics
  • Information extraction
  • Information retrieval
  • Knowledge representation and ontologies
  • Machine translation
  • Natural language understanding
  • Neural representation of speech and language
  • Named entity recognition
  • Opinion mining and sentiment analysis
  • Parsing
  • Question-answering systems
  • Semantic role labeling
  • Speech and language generation
  • Spelling correction
  • Sentiment analysis 
  • Tagging and chunking
  • Text categorization
  • Text summarization
  • Word segmentation 
  • Word sense disambiguation 

6. Adaptive Systems, Networks, IoT & Cloud Computing

6.1. Adaptive Systems

  • Computer Architecture and Real time Systems
  • Dependable, Reliable and Autonomic Computing
  • Distributed and Parallel Systems & Algorithms
  • Embedded System and Software
  • Sensor Networks and Embedded Systems
  • Re-configurable Systems
  • Complex Systems
  • Intelligent Systems
  • Fundamentals on adaptive and self-adapting systems
  • Frameworks and architectures for adaptive supporting platforms
  • Architectures for adaptive applications
  • Specification of adaptive behavior
  • Specification of adaptive structures and topologies
  • Design and implementation of adaptive components
  • Composition of adaptive behaviors and structures
  • Adaptive individual and collective behavior and structures
  • Adaptive deterministic and non-deterministic behavior
  • Semantic modeling
  • On-chip learning and adaptation
  • Automatic/self-calibration
  • Hardware implementations of optimization engines
  • Learning and evolutionary algorithms for adaptive hardware
  • Search and optimization algorithms for adaptive hardware
  • Self-Adaptive and Self-Organizing Systems 

6.2. Emerging Networks

  • Mobile and Wireless Networks
  • Ad Hoc, Sensor and Mesh Networks
  • Vehicular Networks
  • Self-organizing Networks
  • Peer to Peer and Overlay Networks
  • Body Area Networks
  • Heterogeneous Wireless Networks
  • High Speed Networks
  • Future Internet Architecture, Protocols and Services
  • Middleware Support for Networking
  • Network Operation and Management
  • Network Services and Applications
  • Social Computing and Networks
  • Quality of Experience in Network Streaming Services
  • Recent trends & Developments in Computer Networks
  • Multi-tier Networks
  • Network Architectures and Design
  • Network Protocols
  • QoS, Reliability & Performance Modeling
  • Socially driven and self-organizing cloud networking

6.3. Internet of Things

  • IoT Architecture Design and Optimizations 
  • IoT Interoperability
  • IoT Security and Privacy of IoT Devices and Services 
  • 5G Networks and IoT 
  • IoT Communication Protocols
  • IoT Network Virtualization
  • Cognitive IoT
  • Cloud-assisted IoT 
  • Bigdata IoT 
  • Artificial intelligence in IoT
  • Context-aware adaptation and self-adaptation for Smart cities 

6.4. Cloud Computing

  • Mobility Management Across Edge-Cloud Platforms 
  • Data Analysis and Extraction 
  • Intercloud Architecture Models 
  • Cloud Services Delivery Models.
  • Cloud system design with FPGAs, GPUs, APUs 
  • Cloud Services and Applications
  • Cloud Services Models & Frameworks 
  • Cloud­-based Services & Protocols 
  • IoT and Mobile on Cloud
  • IoT Cloud Architectures & Models 
  • Mobile Cloud Architectures & Models 
  • Green Mobile Cloud Computing 
  • Resource Management in Mobile Cloud Environments
  • Fog Computing
  • Self-adaptive Cloud Architectures
  • Adapting workflows in networked clouds
  • Adaptive algorithms in 5G Cloud networks
  • Automatic cloud adaptation
  • Automated cloud brokerage
  • Self-Protective multi-Cloud Applications

7. Software Engineering

  1. Agile software development
  2. Component-based software engineering
  3. Search-based software engineering
  4. Knowledge based software engineering
  5. Web-based software engineering
  6. Testing, verification, and validation
  7. Configuration management and deployment
  8. Cooperative, distributed, and collaborative software engineering
  9. Debugging, fault localization, and repair
  10. Dependability, safety, and reliability
  11. Formal methods, verification, and synthesis
  12. Human factors and social aspects of software engineering
  13. Human-computer interaction
  14. Methodologies and measures for empirical software engineering
  15. Requirements engineering
  16. Reverse engineering
  17. Software economics, management, and metrics
  18. Software evolution and maintenance
  19. Software modeling, Architecture and design
  20. Software processes and process improvement

8. Network, Cyber & Information Security

This track will cover the research and innovation in cyber, information and network security domains. The topics of interest comprise but are not limited to:

  1. Access control, authorization and accountability in cyber physical systems
  2. Data privacy and anonymity
  3. Application cryptography
  4. Quantum cryptography
  5. Crypto-currencies and blockchain based novel applications
  6. Authentication
  7. Economics of security and privacy
  8. Embedded systems security
  9. Network and application Forensics
  10. Hardware security
  11. Intrusion detection and prevention
  12. Malware, Ransomware and unwanted software
  13. Mobile and Web security and privacy
  14. Language-based security
  15. Network and systems security
  16. Privacy technologies and mechanisms
  17. Secure information flow and Provenance
  18. Security and privacy for the Internet of Things, Smart Grids, Smart Cities etc.
  19. Security and privacy metrics
  20. Security and privacy policies
  21. Security architectures
  22. Usable security and privacy 

9. Research in Progress

  1. Phd Research in Progress
  2. MSc Research in Progress
  3. Industrial Research in Progress

Submitted Abstracts, Full length papers, Thesis Summary and Posters submissions will be evaluated by the Scientific Committee. If one of the above is accepted, author agrees to send full text paper, including results, tables, figures and references. All submissions should report original and previously unpublished research results no matter the type of research paper you are presenting. Full text papers (.docx and .doc) will be accepted for Journal publications, otherwise, abstracts, posters and/or Thesis summary will be included in the conference proceedings. Manuscripts should meet the format set by the Conference committee and are subject to review.