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. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh is a distinguished researcher in the field of wireless networks, currently serving as a Professor at the School of Computer Science and Engineering (CSE) at Kyungpook National University (KNU) πŸŽ“. He earned his Bachelor’s and Master’s degrees in Management Science from the Korea Advanced Institute of Science and Technology (KAIST) and completed his Ph.D. in Industrial Engineering at KAIST as well 🌐. Dr. Koh’s career began at the Electronics and Telecommunications Research Institute (ETRI), where he worked as a Senior Researcher before joining KNU in 2004 πŸ”¬. His research focuses on Internet of Things (IoT) protocols like SCTP, CoAP, and QUIC, with particular emphasis on Internet mobility management and multicast technologies for In-Vehicle Infotainment (IVI) services πŸš—. Recently, his work on “mQUIC” in IEEE Communications Magazine (April 2024) underscores his contributions to enhancing handover support and connection migration in wireless and mobile networks πŸ“„.

🌐 Professional Profile:

Orcid

Scopus

πŸŽ“ Education

Seok-Joo Koh received his Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Management Science from the Korea Advanced Institute of Science and Technology (KAIST) in 1992 and 1994, respectively. He went on to complete his Ph.D. in Industrial Engineering at KAIST in 1998.

🌐 Employment

Since March 2004, Dr. Koh has served as a Professor at the School of Computer Science and Engineering (CSE) at Kyungpook National University (KNU) in Daegu, Korea. Prior to his current position, he held the role of Senior Researcher at the Protocol Engineering Center in the Electronics and Telecommunications Research Institute (ETRI) from August 1998 to February 2004.

πŸ”¬ Research Focus

Dr. Koh’s research interests center around the Internet of Things (IoT), focusing particularly on IoT-related protocols such as SCTP, CoAP, and QUIC. He is also actively engaged in exploring Internet mobility management, multicast technologies, and their applications in In-Vehicle Infotainment (IVI) services.

πŸ“„ Recent Contributions

Recent contributions include his work on “mQUIC: Use of QUIC for Handover Support with Connection Migration in Wireless/Mobile Networks” published in IEEE Communications Magazine (April 2024), highlighting his expertise in enhancing network protocols for seamless connectivity transitions.

Publication Top Notes:

  • Use of QUIC for Mobile-Oriented Future Internet (Q-MOFI)
    • YEAR: 2024-01
  • Zero Energy IoT Devices in Smart Cities Using RF Energy Harvesting
    • YEAR: 2022
  • Image Forensics Using Non-Reducing Convolutional Neural Network for Consecutive Dual Operators
    • YEAR: 2022-07
  • Proxy-Based Adaptive Transmission of MP-QUIC in Internet-of-Things Environment
    • YEAR: 2021
  • Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments
    • YEAR: 2020-08