Mr. Ahmad Faraz Hussain | Wireless Sensor Networks | Best Researcher Award

Mr. Ahmad Faraz Hussain | Wireless Sensor Networks | Best Researcher Award

Mr. Ahmad Faraz Hussain | Zhejiang University | China

Ahmad Faraz Hussain is a PhD student in Marine Information Science and Engineering at Zhejiang University Ocean College. With a Master’s in Electronics & Information Engineering from South China University of Technology and a Bachelor’s in Electrical Engineering from UET Peshawar, his expertise spans audio signal processing, speaker recognition, and wireless sensor networks. He has worked as a research assistant, lecturer, and technical engineer, contributing to cutting-edge research in autonomous vehicles, fish biomass estimation, and underwater image processing. His work is published in international journals, and he remains passionate about innovation in marine and signal processing technologies.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award

Ahmad Faraz Hussain demonstrates strong suitability for the Best Researcher Award based on his academic background, research contributions, and interdisciplinary expertise. His work spans critical areas such as marine information science, audio signal processing, speaker recognition, and wireless sensor networks, making significant contributions to both theoretical advancements and real-world applications.

Education & Experience πŸŽ“πŸ’Ό

  • PhD Student – Marine Information Science & Engineering (Present) πŸŒŠπŸ“‘
    Zhejiang University Ocean College
  • Master of Science – Electronics & Information Engineering (2017-2019) πŸ§ πŸ”Š
    South China University of Technology, China (87.3%)

    • Thesis: Speaker Recognition with Emotional Speech
  • Bachelor of Science – Electrical Engineering (2009-2014) βš‘πŸ“Ά
    University of Engineering and Technology Peshawar, Pakistan (3.24/4)

    • Thesis: ZigBee Based Wireless Sensor Network for Building Safety Monitoring
  • Research Assistant – South China University of Technology (2017-2019) πŸ”¬πŸ“‘
  • Lecturer – Al-Asar Institute of Technology, Kohat (2021-2022) πŸ«πŸ“–
  • Science Teacher – Uswa Public School, Kohat (2016-2017) πŸ«πŸ”¬
  • Technical Engineer – PTCL, Pakistan (1 year) πŸ”ŒπŸ“Ά
  • Science Teacher – GHSS Khadizai, Kohat πŸŽ“

Professional Development πŸš€πŸ“Š

Ahmad Faraz Hussain is deeply engaged in marine information science, audio signal processing, and wireless networks. His PhD research focuses on autonomous underwater vehicle control, fish detection, and underwater image enhancement. With strong programming skills in MATLAB, Python, and Kaldi, he applies advanced machine learning techniques to real-world challenges. He has presented research on speech emotion recognition, wireless sensor networks, and underwater robotics at international conferences. Committed to scientific discovery and mentorship, Ahmad contributes to academia and industry through teaching, research, and technological advancements in marine and signal processing fields.

Research Focus πŸ”¬πŸŽ€πŸŒŠ

Ahmad specializes in marine technology, speech processing, and artificial intelligence. His work in autonomous underwater vehicles explores advanced Lyapunov-based model predictive control for dynamic positioning. In audio signal processing, he investigates speech and speaker recognition, particularly the impact of emotions on authentication systems. His research extends to wireless sensor networks, focusing on real-time monitoring for safety applications. Ahmad also explores underwater imaging and fish biomass estimation, leveraging deep learning and computer vision to enhance marine life assessment and conservation. His interdisciplinary expertise bridges electrical engineering, AI, and marine sciences.

Awards & Honors πŸ†πŸŽ–οΈ

  • CSC Scholarship for Master’s degree at South China University of Technology (2017-2019) πŸŽ“πŸ‡¨πŸ‡³
  • Fouji Foundation Scholarship for academic excellence πŸŽ–οΈπŸ“š

Publication Top Notes:

🐟 Fish Detection and Classification Based on Improved ViT
πŸ€– Utilizing Lyapunov-Based Model Predictive Control for Haizhe AUV

 

 

Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi | Wireless Caching | Best Researcher Award

Prof. Minseok Choi, Kyung Hee University, South Korea

Prof. Minseok Choi is an esteemed Assistant Professor at Kyung Hee University, South Korea, specializing in Wireless Caching Networks πŸ“‘, Stochastic Network Optimization πŸ“Š, Federated Learning πŸ€–, Reinforcement Learning 🧠, and Non-Orthogonal Multiple Access (NOMA) πŸ“Ά. He earned his Ph.D. and M.S. in Electrical Engineering from KAIST, under the mentorship of Prof. Jaekyun Moon. Prof. Choi leads the Wireless Intelligent Network (WIN) Lab, contributing significantly to advancements in wireless communications. His teaching portfolio includes courses on future communication convergence, AI, and wireless networks.

🌐 Professional Profile:

Scopus

Education

  • Ph.D., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Queue-Based Performance Optimization under Latency Constraint in Multi-User Cellular Environments
    Advisor: Prof. Jaekyun Moon
    Aug. 2018
  • M.S., Electrical Engineering
    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, ROK
    Thesis: Soft Information Correlation in Iterative Decoding of LDPC Codes
    Advisor: Prof. Jaekyun Moon
    Feb. 2013

Research Interests

  • Wireless Caching Network
  • Stochastic Network Optimization
  • Federated Learning
  • Reinforcement Learning
  • Non-Orthogonal Multiple Access (NOMA)

Research Experience

  • Assistant Professor, Kyung Hee University
    Department of Electronic Engineering, Wireless Intelligent Network (WIN) Lab.
    Mar. 2022 – Present
  • Assistant Professor, Jeju National University
    Department of Telecommunication Engineering, Wireless Communications and Distributed Systems Lab.
    Mar. 2020 – Feb. 2022

Teaching Experience

  • Kyung Hee University
    • Future Communication Convergence (Spring 2023)
    • Communication Mathematics (Spring 2023)
    • Software Laboratory (Spring 2023)
    • Wireless Network Convergence (Fall 2022)
    • Artificial Intelligence (Fall 2022)
    • Reinforcement Learning (Spring 2022)
    • Adventure Design (Spring 2022, Fall 2022, Spring 2023)

Publication Top Notes:

  1. Title: SWIPT-Enabled NOMA in Distributed Antenna System with Imperfect CSI for Max-Sum-Rate and Max-Min Fairness
    • Journal: IEEE Systems Journal
    • Year: 2023
  2. Title: Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes
    • Journal: ETRI Journal
    • Year: 2023
  3. Title: Energy-Efficient Power Control for Simultaneous Wireless Information and Power Transfer – Nonorthogonal Multiple Access in Distributed Antenna Systems
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2023
  4. Title: Quantum distributed deep learning architectures: Models, discussions, and applications
    • Journal: ICT Express
    • Year: 2023
  5. Title: Optimal Power Allocation and Power Splitting Ratio Assignments for SWIPT-Enabled Orthogonal Multiple Access with Distributed Antenna Systems
    • Journal: Electronics (Switzerland)
    • Year: 2023