Haoming Wang | Wireless Sensing | Best Researcher Award

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Mr. Haoming Wang | Wireless Sensing | Best Researcher Award

Research Assistant at University of New South Wales, Australia.

Mr. Haoming Wang is currently pursuing a Master of Philosophy (MPhil) in Telecommunications at the University of New South Wales (UNSW), Australia. His research and professional activities are centered around WiFi sensing technologies, CSI-based gesture recognition, and RFID applications. Haoming is an emerging researcher and academic mentor with hands-on experience in experimental design, wireless communication systems, and engineering education.

Professional Profile

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Education 

  • Master of Philosophy (Telecommunication)
    University of New South Wales (UNSW), Australia | June 2023 

  • Bachelor of Engineering (Hons) in Electrical Engineering
    UNSW, Australia | Feb 2019 – May 2023

Professional Experience 

Haoming is actively involved in both academic and industry-aligned roles. He serves as an Examination Supervisor, Marker, and Lab Demonstrator at UNSW, contributing to courses such as ELEC1111, ELEC2134, ELEC4632, and TELE9753. He has completed an electrical engineering internship with OZ Design Build and worked in customer service roles emphasizing problem-solving and client satisfaction.

Additionally, Haoming has a strong volunteer record, having mentored FIRST Robotics teams, coordinated workshops with Robogals, and supported campus-wide health and language development programs. He’s been a consistent ambassador of engineering outreach, leadership, and community engagement.

Research Interest 

  • Channel State Information (CSI) in Wireless Channels

  • Keystroke and Motion Recognition via WiFi Sensing

  • RFID-based Passive User Profiling

  • Bandwidth-efficient Interference Injection for Privacy Protection

  • Deep Learning Applications in Wireless Sensing

  • Smart Occupancy Detection Systems

  • Wireless System Modeling and Spatial Resolution Analysis

Publications Top Noted

1. Keystroke Recognition using WiFi Sensing: An Empirical Study on Robustness

  • Authors: H. Wang, A. Sharma, D. Mishra, A. Seneviratne, E. Ambikairajah

  • Conference: IEEE Globecom Workshops (GC Wkshps)

  • Pages: 1123–1128

  • Year: 2023

  • Citations: 2

  • Highlights:

    • Investigates practical keystroke recognition using WiFi CSI (Channel State Information)

    • Evaluates robustness under varied environmental conditions

    • Presents signal processing techniques for real-time applications

2. Empirical Investigation on Practical Robustness of Keystroke Recognition Using WiFi Sensing for Future IoT Applications

  • Authors: H. Wang, A. Sharma, D. Mishra, A. Seneviratne, E. Ambikairajah

  • Journal: Future Internet, Volume 17, Issue 7, Article 288

  • Year: 2025

  • Highlights:

    • Continuation and expansion of 2023 IEEE Globecom study

    • Compares keystroke sensing performance across devices and spatial setups

    • Discusses implications for secure authentication and behavioral biometrics

3. Passive User Profiling Using Array of Sustainable Backscatter Tags

  • Authors: H. Wang, H. Lai, A.C.Y. Goay, D. Mishra, A. Seneviratne, E. Ambikairajah

  • Journal: IEEE Communications Letters

  • Year: 2025

  • Highlights:

    • Explores non-invasive user identification using passive RF backscatter

    • Sustainable IoT sensing without active power sources

    • Applicable to smart environments and human-device interaction

4. Analytical Model for Spatial Resolution Characterisation of Keystroke Recognition using WiFi Sensing

  • Authors: H. Wang, D. Mishra, A. Seneviratne, E. Ambikairajah

  • Journal: IEEE Wireless Communications Letters

  • Year: 2025

  • Highlights:

    • Provides theoretical modeling of spatial resolution in WiFi-based keystroke tracking

    • Validates model using experimental datasets

    • Useful for optimizing sensing deployment in smart homes and secure facilities

5. Conservative Interference Injection to Minimize Wi-Fi Sensing Privacy Risks and Bandwidth Loss

  • Authors: A. Sharma, H. Wang, D. Mishra, A. Seneviratne

  • Journal: Future Internet, Volume 17, Issue 1, Article 20

  • Year: 2025

  • Highlights:

    • Focuses on privacy preservation in WiFi sensing

    • Proposes interference injection strategies to prevent unauthorized tracking

    • Minimizes bandwidth degradation while protecting user data

Conclusion 

Mr. Haoming Wang is a highly promising telecommunications researcher with a strong foundation in wireless sensing, intelligent systems, and privacy-focused IoT innovations. His exceptional research output, dedication to education, and commitment to inclusive community engagement position him as a rising star in the field of next-generation wireless technologies. He is a worthy candidate for recognition by the Global Network & Technology Excellence Awards, and his continued contributions are expected to play a meaningful role in advancing wireless sensing, smart environments, and ethical technology innovation globally.

Mohtasham Khanahmadi | signal processing | Best Researcher Award

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Mohtasham Khanahmadi | signal processing | Best Researcher Award

Mr.Mohtasham Khanahmadi, Semnan University, Iran.

Mr.Mohtasham Khanahmadi is an Iranian civil engineering researcher specializing in structural health monitoring, damage detection, and signal processing. With over five years of experience, he focuses on nondestructive evaluation, inverse problems, and modal analysis of thin-walled and composite structures. He holds a B.Sc. in Civil Engineering from Velayat University and an M.Sc. in Structural Engineering from Semnan University. Proficient in MATLAB, Abaqus, and computational modeling, he has authored impactful research on damage localization and interfacial debonding detection. Passionate about enhancing structural integrity, his contributions advance the field of applied and computational mathematics in civil engineering. 🔍🛠️

Publication Profile

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Education & Experience 🎓👷‍♂️

📌 B.Sc. in Civil Engineering – Velayat University, Iran (2011–2015)
📌 M.Sc. in Structural Engineering – Semnan University, Iran (2015–2018)
📌 Researcher in Structural Health Monitoring & Damage Detection (5+ years)
📌 Expert in Computational Mathematics & Signal Processing for Civil Structures
📌 Published Research in High-Impact Structural Engineering Journals.

Suitability Summary

Dr. Mohtasham Khanahmadi is a distinguished civil engineering researcher recognized for his outstanding contributions to structural health monitoring, damage detection, and signal processing. With over five years of dedicated research, he has demonstrated exceptional expertise in nondestructive evaluation, applied and computational mathematics, inverse problems, and modal analysis of thin-walled and composite structures, including plates, beams, and columns. His pioneering methodologies have significantly advanced the assessment of structural integrity and performance, making him a highly deserving candidate for the Best Researcher Award.

Professional Development 📈🔬

Mr.Mohtasham Khanahmadi actively contributes to the advancement of structural health monitoring through cutting-edge research in damage detection and localization techniques. His expertise spans signal processing,  nverse problems, and modal analysis, with a strong focus on nondestructive evaluation of civil structures. Skilled in MATLAB, Abaqus, and Microsoft Office tools, he integrates computational methods to enhance structural performance. His work in analyzing thin-walled and composite structures under axial loads has led to significant advancements in interfacial debonding detection and modal curvature-based irregularity indices. Dedicated to academic excellence, he continuously engages in professional learning and knowledge dissemination. 📊🏗️.

Research Focus  🔍🏢

Mr.Mohtasham Khanahmadi’s research centers on structural health monitoring 🏗️, emphasizing damage detection and localization in civil engineering structures. His work involves signal processing 📡, nondestructive evaluation 🛠️, and computational mathematics 🔢 to enhance the integrity of thin-walled and composite structures such as plates, beams, and columns. He specializes in inverse problem-solving to assess structural behavior under different conditions, including modal analysis of concrete-filled steel tubular (CFST) columns. By developing advanced methodologies, he contributes to the early detection of structural failures, leading to safer and more efficient engineering solutions. 🚧🔬.

Awards & Honors 🏆🎖️

🏅 Recognized for impactful research in structural health monitoring & damage detection
🏅 Published in high-impact journals, including Measurement & IJSSD
🏅 Contributions to computational civil engineering methodologies acknowledged in academia
🏅 Active collaborator in multidisciplinary structural engineering research projects
🏅 Recognized for advancing nondestructive evaluation techniques for damage localization.

Publication Top Notes

📌 A numerical study on vibration-based interface debonding detection of CFST columns using an effective wavelet-based feature extraction technique – 2024

📌 Interfacial Debonding Detection in Concrete-Filled Steel Tubular (CFST) Columns with Modal Curvature-Based Irregularity Detection Indices – 2024

📌 Vibration-based damage localization in 3D sandwich panels using an irregularity detection index (IDI) based on signal processing – 2024

📌 Vibration-based health monitoring and damage detection in beam-like structures with innovative approaches based on signal processing: A numerical and experimental study – 2024

 

 

 

Assist. Prof. Dr. Chaofeng Zhao | Signal Processing | Best Researcher Award

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Assist. Prof. Dr. Chaofeng Zhao | Signal Processing | Best Researcher Award

Assist. Prof. Dr. Chaofeng Zhao | Luoyang Normal University | China

Zhao Chaofeng is a dedicated academic and researcher specializing in digital communications, signal processing, and image processing. 📡🔍 He holds a Ph.D. in Control Engineering from Xi’an University of Technology (2020), an M.S. in Applied Mathematics from Beifang University for Nationalities (2012), and a B.S. in Applied Mathematics from Fuyang Normal University (2005). 🎓 Currently serving as a lecturer at Luoyang Normal University, he has authored 20 research papers, including 10 in prestigious journals like ND, IJBC, and CIS. 📖✍️ Additionally, he holds 4 authorized invention patents, contributing significantly to technological advancements. 🔬💡

Professional Profile:

ORCID

Suitability for Best Researcher Award

Dr. Zhao Chaofeng is a highly accomplished researcher in the fields of digital communications, signal processing, and image processing. His strong academic background, with a Ph.D. in Control Engineering, along with his M.S. and B.S. in Applied Mathematics, demonstrates a solid foundation in mathematical modeling and engineering applications.

Education & Experience 📚👨‍🏫

  • 🎓 Ph.D. in Control Engineering – Xi’an University of Technology, 2020
  • 🎓 M.S. in Applied Mathematics – Beifang University for Nationalities, 2012
  • 🎓 B.S. in Applied Mathematics – Fuyang Normal University, 2005
  • 👨‍🏫 Lecturer – School of Information Technology, Luoyang Normal University, China
  • ✍️ Published 20 research papers, including 10 in ND, IJBC, CIS, and other top journals
  • 🔬 Holds 4 authorized invention patents in the fields of signal and image processing

Professional Development 📡🔬📖

Zhao Chaofeng continuously expands his expertise in digital communications and signal processing through active research and publications. 📝 He contributes to the academic community by mentoring students and participating in technological advancements. 💡 His research explores innovative applications in coding and engineering mathematical methods, driving progress in modern communication systems. 📶 As a lecturer at Luoyang Normal University, he is committed to knowledge-sharing and academic excellence. 🏫 His work has received recognition through multiple patents, and he remains engaged in interdisciplinary studies to enhance the efficiency and accuracy of digital signal applications. 🚀🔍

Research Focus 🔬📡📊

Dr. Zhao’s research revolves around digital communications, signal processing, and image processing, aiming to enhance modern technology’s efficiency and reliability. 📡 His work integrates coding techniques and mathematical modeling to optimize communication systems. 📊 Through cutting-edge innovations, he explores advanced signal filtering, noise reduction, and image enhancement for various applications. 🖼️📡 His interdisciplinary approach bridges mathematics, engineering, and computational methods to develop robust solutions in data transmission and processing. 📶🔍 His contributions have significantly impacted theoretical advancements and practical applications in the field, fostering progress in modern digital communication. 🚀💡

Awards & Honors 🏆🎖️

  • 🏅 Published 20 research papers, including 10 in ND, IJBC, CIS, and other prestigious journals
  • 📜 4 authorized invention patents in digital communications and signal processing
  • 🎓 Recognized for contributions in mathematical modeling and engineering applications
  • 🌍 Active participant in international conferences and research collaborations
  • 🏆 Awarded research grants for innovative work in digital signal and image processing

Publication Top Notes:

🔐 Delayed Chaotic Image Encryption Using Cross-Layer and DNA Coding Techniques
🖼 A Novel Image Encryption Algorithm by Delay Induced Hyper-chaotic Chen System
📖 Weakness Analyzing and Performance Improvement for Image Encryption with Chaos Across Cylinder
📊 Optimal Control of Stochastic System with Fractional Brownian Motion
📸 Image Encryption Based on Hyper-chaotic Multi-attractors

 

 

Mr. Hehe Yu | Transceiver Awards | Best Researcher Award

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Mr. Hehe Yu | Transceiver Awards | Best Researcher Award

Mr. Hehe Yu, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Hehe Yu is a researcher at the Institute of Aerospace Information Innovation, University of Chinese Academy of Sciences. He is currently pursuing a degree in Electronic Information from the Institute of Electronics, Chinese Academy of Sciences (2022-2025). He holds a Bachelor’s degree in Electronic Information Engineering from Dalian Maritime University (2017-2021). His research focuses on advanced antenna technologies, including a notable publication on a twelve-element MIMO wideband antenna array for 5G smartphone applications. With strong teamwork, problem-solving skills, and hands-on expertise, Hehe Yu is passionate about innovation and technological exploration.

Professional Profile:

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Hehe Yu’s Suitability for the Research for Best Researcher Awards:

Hehe Yu is a promising candidate for the Best Researcher Award, given his academic background, focus on innovative 5G technology, and ability to contribute to multidisciplinary research. His publication demonstrates both the depth of his research capabilities and its potential impact on the telecommunications industry. With continued growth, he is poised to make significant advancements in electronic information systems and wireless communication technologies.

🎓Education:

Hehe Yu is currently pursuing a degree in Electronic Information (2022-2025) at the Institute of Electronics, Chinese Academy of Sciences. He previously completed his Bachelor’s degree in Electronic Information Engineering at Dalian Maritime University, graduating in 2021. His educational background has equipped him with a solid foundation in electronics and information systems, fueling his research in advanced antenna technologies for 5G applications.

🏢Work Experience:

Hehe Yu is currently affiliated with the Institute of Aerospace Information Innovation at the University of Chinese Academy of Sciences. His work primarily focuses on electronic information systems and antenna technology, with a particular emphasis on designing and optimizing antenna arrays for 5G smartphone applications. His research aims to contribute to the advancement of communication technologies in the aerospace and electronics fields.

Publication Top Notes:

Title: Twelve-Element MIMO Wideband Antenna Array Operating at 3.3 GHz for 5G Smartphone Applications