20th International Conference on
Emerging Technologies (ICET-25)

November 18–19, 2025 | Faculty of Electrical and Computer Engineering (FECE), UET Peshawar, Pakistan

Mode: Hybrid



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About ICET

The 20th International Conference on Emerging Technologies (ICET-25) is the flagship event of the IEEE Islamabad Section, continuing a proud tradition of annual conferences since 2005. This year, ICET-25 is being hosted by the University of Engineering and Technology (UET) Peshawar on November 18–19, 2025.

In the rapidly evolving landscape of information and communication technologies, ICET provides a vital platform for researchers, academia, industry experts, and government representatives to connect, share ideas, and collaborate. The conference promotes high-quality research and aims to foster meaningful discussions around the latest innovations and trends in emerging technologies.

All accepted and presented papers will be submitted for inclusion in IEEE Xplore, subject to IEEE’s scope and quality guidelines—enhancing the global visibility and academic value of the research.

Important Dates

1

Call for Papers

May 20, 2025

2

Submission of Papers

October 13, 2025(Strict – No Further Extension)

3

Acceptance Notification

October 27, 2025

4

Conference Registration

November 5, 2025

5

Conference Dates

November 18–19, 2025

6

Camera Ready Submission

December 10, 2025

Conference Tracks

Communication, Networking & Broadcast Technologies

  • 5G/6G Networks and Beyond
  • IoT and Edge Computing for Communication
  • Satellite and Space Communication Technologies
  • Blockchain for Secure Communication
  • Green Communication Systems
  • Cognitive Radio and Dynamic Spectrum Access
  • Augmented and Virtual Reality in Broadcasting
  • AI in Network Optimization and Management
  • Network Security and Privacy in Emerging Technologies

Components, Circuits, Devices and Systems

  • Flexible and Wearable Electronics
  • Advanced MEMS and NEMS Technologies
  • Photonic Integrated Circuits
  • Emerging Semiconductor Devices
  • Spintronics and Quantum Devices
  • Power Electronics for Renewable Energy Systems
  • Neuromorphic Circuits and Computing
  • Low-Power IoT Devices
  • Additive Manufacturing for Electronic Components
  • AI-Driven System Design and Testing

Computing and Processing

  • Quantum Computing and Algorithms
  • Edge and Fog Computing Paradigms
  • Blockchain and Distributed Ledger Technologies
  • AI and Machine Learning for High-Performance Computing
  • Neuromorphic Computing and Brain-Inspired Architectures
  • Cloud-Native Technologies and Orchestration
  • Cybersecurity in Computing Systems
  • Big Data Analytics and Real-Time Processing
  • Parallel and Distributed Computing Models
  • Energy-Efficient Computing

Power, Energy and Industry Applications

  • Smart Grids and Energy Management
  • Renewable Energy Systems and Integration
  • Energy Storage Technologies and Applications
  • Electrification of Transportation Systems
  • AI in Power System Optimization
  • Industry 4.0 and Smart Manufacturing
  • Power Electronics for Grid Applications
  • Waste-to-Energy Conversion Technologies
  • Cybersecurity in Critical Energy Infrastructure
  • Wireless Power Transfer Technologies

Robotics and Control Systems

  • Autonomous Systems and Drones
  • Collaborative Robots (Cobots) in Industry
  • AI-Enhanced Robotic Systems
  • Haptics and Human-Robot Interaction
  • Swarm Robotics and Multi-Agent Systems
  • Soft Robotics for Biomedical Applications
  • Control Systems for Renewable Energy
  • Navigation and Localization in Robotics
  • Robotics for Disaster Response and Recovery
  • Digital Twins in Robotics

Signal Processing and Analytics

  • AI-Driven Signal Processing Techniques
  • Signal Processing for Autonomous Systems
  • Biomedical Signal Processing
  • Image and Video Analytics with Deep Learning
  • Real-Time Signal Processing for IoT Applications
  • Quantum Signal Processing
  • Speech and Audio Signal Analysis
  • Data Compression and Encoding Techniques
  • Signal Processing for Wireless Communications
  • Multimodal Data Fusion and Analytics

Committees

Organizing Committee

  • Honorary Chairs:
  • Prof. Dr. Muhammad Sadiq Khattak, Vice Chancellor, UET Peshawar
    Prof. Dr. Syed Waqar Shah, Dean, FECE, UET Peshawar
    Prof. Dr. Gul Muhammad, Vice Chancellor, UET Mardan
    Prof. Dr. Inayatullah Khan Babar, Vice Chancellor, UET Taxila

  • Program Chairs:
  • Prof. Dr. Haseeb Zafar
    Dr. Nasru Minallah

Technical Program Committee

  • Prof. Dr. Muhammad Fasih Uddin, COMSATS University, Islamabad
  • Dr. Babar Hussain, PIEAS, Islamabad
  • Dr. Mohsin Jamil, Memorial University of Newfoundland, Canada
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Contact Us

  • Department of Computer Systems Engineering, UET, Peshawar
  • +92 345 2757576, +92 91 9222132
  • n.minallah@uetpeshawar.edu.pk

CMT Acknowledgment

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

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